CN118713122B - Adaptive distributed coordinated control method for wind farms with fast grid frequency support - Google Patents
Adaptive distributed coordinated control method for wind farms with fast grid frequency support Download PDFInfo
- Publication number
- CN118713122B CN118713122B CN202411195104.2A CN202411195104A CN118713122B CN 118713122 B CN118713122 B CN 118713122B CN 202411195104 A CN202411195104 A CN 202411195104A CN 118713122 B CN118713122 B CN 118713122B
- Authority
- CN
- China
- Prior art keywords
- frequency
- power
- wind
- power grid
- voltage
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for AC mains or AC distribution networks
- H02J3/24—Arrangements for preventing or reducing oscillations of power in networks
- H02J3/241—The oscillation concerning frequency
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for AC mains or AC distribution networks
- H02J3/12—Circuit arrangements for AC mains or AC distribution networks for adjusting voltage in AC networks by changing a characteristic of the network load
- H02J3/14—Circuit arrangements for AC mains or AC distribution networks for adjusting voltage in AC networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
- H02J3/144—Demand-response operation of the power transmission or distribution network
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for AC mains or AC distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
- H02J3/466—Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
- H02J2300/28—The renewable source being wind energy
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Wind Motors (AREA)
- Control Of Eletrric Generators (AREA)
Abstract
本发明属于电网频率快速支撑技术领域，具体涉及一种电网频率快速支撑的风电场自适应分布式协调控制方法。通过采用更先进的数据采集和分析技术，准确获取风电场及电网运行的基础数据，并对电气特征量进行深入分析，以更准确地判断风电场的出力特性和电网的运行状态。同时，通过优化频率电压紧急控制动作决策机制，能够更及时地发现电网频率的偏差并采取相应的控制措施，提高电网频率控制的及时性和有效性。最后，通过改进自适应控制策略制定和分布式协调控制执行方法，加强风电场与电网之间的协调配合，充分发挥风电场对电网频率的支撑作用。
The present invention belongs to the technical field of rapid support of power grid frequency, and specifically relates to an adaptive distributed coordinated control method for wind farms with rapid support of power grid frequency. By adopting more advanced data acquisition and analysis technology, the basic data of wind farm and power grid operation can be accurately obtained, and the electrical characteristic quantities can be deeply analyzed to more accurately judge the output characteristics of the wind farm and the operating status of the power grid. At the same time, by optimizing the frequency and voltage emergency control action decision-making mechanism, the deviation of the power grid frequency can be discovered more timely and corresponding control measures can be taken, thereby improving the timeliness and effectiveness of power grid frequency control. Finally, by improving the formulation of adaptive control strategies and the distributed coordinated control execution method, the coordination and cooperation between wind farms and power grids can be strengthened, and the supporting role of wind farms on power grid frequency can be fully exerted.
Description
Technical Field
The invention belongs to the technical field of rapid support of power grid frequency, and particularly relates to a wind power plant self-adaptive distributed coordination control method for rapid support of power grid frequency.
Background
In current grid operation, wind farms face a number of challenges in supporting grid frequencies. In the prior art, the output of a wind power plant is highly dependent on natural factors, especially the change of wind speed, so that the output of the wind power plant has large uncertainty, and the frequency support is difficult to stably provide for a power grid. To address this problem, statistical analysis or simple physical models based on historical data are often employed to monitor and predict, in an attempt to learn about the wind farm output situation in advance. However, these approaches are often limited by factors such as data quality, model accuracy, etc., and are not accurate and timely enough to effectively cope with rapid changes in wind farm output. For example, when the wind speed suddenly changes, the prediction result may be greatly different from the actual output, so that the power grid cannot adjust the spare capacity in time, and the stability of the power grid frequency is affected.
In addition, when the grid frequency deviates, the existing control strategy mainly depends on a preset threshold value and fixed control logic to judge whether control is needed. However, this approach may be unsatisfactory in terms of response speed and adjustment effect. On the one hand, the sensors for monitoring parameters such as the frequency and the voltage of the power grid may have sampling delay and errors, so that the basis of the control decision is not accurate enough. On the other hand, the execution of the control action often needs to be coordinated and transmitted through a plurality of links, obvious hysteresis exists, and the frequency of the power grid cannot be timely and effectively adjusted, so that the frequency deviation can be further enlarged. For example, in the event of a sudden drop in the grid frequency, the control strategy may take some time to start, during which the frequency deviation may have an adverse effect on other devices in the grid.
In the aspect of coordination of a wind farm and a power grid, the prior art means can not realize sufficient coordination control. The information interaction between the wind power plant and the power grid mainly depends on regular data reporting and manual intervention, and the real-time performance and the initiative are lacking. Meanwhile, the cooperative work is not tight enough, and when the two parties make an operation plan and deal with emergency, an effective communication and coordination mechanism is often lacking, so that the supporting function of the wind power plant on the power grid frequency cannot be fully exerted. For example, during peak grid load times, the wind farm may not be able to receive peak shaving instructions of the grid in time, resulting in wastage of wind energy resources and instability of the grid frequency.
In summary, the prior art has obvious defects in the aspects of prediction accuracy of wind farm output, response timeliness of control strategies, coordination and matching of wind farm and power grid, and the like, and needs to be improved.
Disclosure of Invention
In view of the above deficiencies in the prior art, the present invention is directed to: the self-adaptive distributed coordination control method for the wind power plant, which is used for rapidly supporting the frequency of the surface-phase power grid, strengthens coordination control between the wind power plant and the power grid, achieves real-time performance and initiative of information interaction, improves the tightness of cooperative work, fully plays the supporting role of the wind power plant on the frequency of the power grid, and avoids waste of wind energy resources and instability of the frequency of the power grid.
In order to achieve the above object, the present invention adopts the following technical scheme:
A wind power plant self-adaptive distributed coordination control method for rapidly supporting power grid frequency comprises the following steps:
S1, data acquisition, namely acquiring basic data of wind power plants and power grid operation, wherein the basic data comprise bus voltage of a transformer substation, outlet interval data, current components of three-phase alternating current signals, current and voltage signals of the three-phase alternating current and the like;
s2, analyzing the electrical characteristic quantity, and acquiring characteristic quantities such as amplitude, frequency and phase of the voltage based on the data acquired in the step S1;
S3, judging the output characteristics of the wind power plant, calculating active power according to the electrical characteristic quantity obtained in the step S2, and determining the output characteristics of the wind power plant by combining the calculation result of the active power and the power duration;
S4, deciding the emergency control action of the frequency voltage, and judging whether the power grid is in a state requiring emergency control based on the electrical characteristic quantities such as the frequency and the voltage obtained in the S2 and the output characteristics of the wind power plant determined in the step S3;
S5, formulating an adaptive control strategy, when the power grid needs to be subjected to load shedding according to the judging result of S4, applying a load shedding amount calculation formula, and selecting a proper load for cutting according to the wire outlet interval data and the priority of the load so as to realize adaptive load shedding;
s6, executing distributed coordination control, generating control instructions of the wind turbines according to the self-adaptive control strategy formulated in the S5, and sending the instructions to controllers of the wind turbines to realize distributed coordination control so as to ensure that a wind farm can quickly respond to emergency control demands of a power grid;
S7, evaluating the frequency supporting capability, establishing an evaluation model by using the results of S1 to S6, and evaluating the supporting effect of the wind power plant output adjustment on the power grid frequency through the evaluation model.
Further, in the step S2, the method for obtaining the voltage amplitude characteristic quantity includes:
S21, coordinate transformation, namely converting the three-phase alternating current signals acquired in the S1 from a three-phase static coordinate system (abc coordinate system) to a vector rotation space coordinate system (dq coordinate system), wherein the formula is as follows:
；
In the formula (i), AndRespectively shown inAndA current component on the shaft;、、 Respectively three-phase current 、、A component on the phase; Is the rotation angle, and is related to the phase of the power grid;
S22, using a low-pass filter pair to transform coordinates and then (Straight axis)The voltage components on the axes (intersecting axes) are filtered to obtain voltage amplitude values, and the formula is:
；
；
；
；
；
；
Is the voltage amplitude obtained after filtering, Is the rotation angle of the wheel, the rotation angle of the wheel is the rotation angle of the wheel,AndIs transformed into coordinates(Straight axis)Voltage component on axis (quadrature axis)、、To convert the components of the voltage in the vector rotation space coordinate system back to components in the three-phase stationary coordinate system;
Further, in the step S2, the method for obtaining the frequency characteristic quantity includes:
the voltage signal is processed through a proportional-integral controller, the frequency is extracted, and the formula is:
；
Wherein, Is the frequency extracted by the proportional-integral controller; The error signal is the difference between the actual voltage and the set voltage, reflects the deviation degree of the system, and the controller adjusts the output according to the error signal so as to reduce the deviation; for the proportionality coefficient, the instant response degree of the controller to the error signal is determined to be larger The value will make the controller more sensitive to the error signal, and can adjust the output faster, but may cause the system to be unstable and generate oscillations; is an integral coefficient for eliminating steady state error of the system, and is smaller The value will make the integral action weaker and biggerThe values may cause integral saturation that slows down the system response and even loses stability.
Further, in the step S2, the method for acquiring the phase feature value includes:
integrating the frequency signal to obtain an integrated phase, wherein the formula is as follows:
；
For the frequency extracted by the proportional-integral controller, For the integrated phase obtained by integration, the integrated phase signal reflects the phase information of the voltage signal.
Further, in the step S3, determining the output characteristic of the wind farm includes the following steps:
s31, calculating active power, wherein a calculation formula of the active power is as follows:
；
；
；
；
；
；
；
；
；
；
the voltage amplitude is obtained after filtering; 、、 to convert the components of the voltage in the vector rotation space coordinate system back to the components in the three-phase stationary coordinate system; And Is transformed into coordinatesAndA voltage component on the shaft;、、 to convert the components of the current in the vector rotation space coordinate system back to components in the three-phase stationary coordinate system; And Is the component of the current in the vector rotation space coordinate system; is the rotation angle; Is the voltage phase; is the current phase; Is the phase difference between voltage and current;
s32, determining the output characteristics of the wind power plant according to the calculation result of the active power and the duration of the power,
If it isAnd last stable for a period of timeDetermining the power supply characteristic; if it isAnd maintain this state for the same timeJudging the load characteristic; continuously monitoring the change condition of active power in the judging process, and in the whole process；
Further, in the step S4, determining whether the power grid is in a state requiring emergency control includes:
By comparing whether the absolute value of the difference between the frequency extracted by the proportional-integral controller and the standard frequency exceeds a preset threshold value, when When the absolute value of the difference value between the frequency extracted by the proportional-integral controller and the standard frequency exceeds a preset threshold value, the frequency extracted by the proportional-integral controller is greatly deviated, and an emergency control action is needed to be adopted to adjust the frequency of the power grid; wherein, For the frequency extracted by the proportional-integral controller,In order to set the standard frequency of the frequency,Is a preset frequency deviation threshold;
Whether the absolute value of the difference between the voltage amplitude obtained after filtering and the set standard voltage amplitude is larger than the preset voltage amplitude deviation threshold value or not, when When the absolute value of the difference between the voltage amplitude obtained after filtering and the set standard voltage amplitude is larger than the preset voltage amplitude deviation threshold value, the voltage amplitude obtained after filtering is abnormal, and the emergency control action is required to ensure that the voltage is stable within a reasonable range; wherein, In order to obtain the voltage amplitude after filtering,The set standard voltage amplitude value is used for setting the voltage,A preset voltage amplitude deviation threshold value;
Comparing the frequency and the change rate of the voltage amplitude when And is also provided withThe change rates of the frequency and the voltage respectively exceed corresponding preset change rate thresholds, and the state change of the power grid is quick, so that emergency control actions are needed to stabilize the power grid; And The rate of change of frequency and voltage respectively,AndA corresponding preset change rate threshold value is set;
Emergency control measures may include, but are not limited to: adjusting the power generation of the wind farm to provide the necessary frequency support; starting a standby power generation resource to quickly respond to the requirement of the power grid; load management strategies, such as demand response or load shedding, are implemented to reduce grid load.
Further, in the step S5, the method for formulating the adaptive load shedding policy includes:
s51, calculating the load reduction amount, wherein the load reduction amount is calculated by using a weighting coefficient in consideration of the influence of power loss and surplus:
；
is the load quantity to be cut off; And Is a weight coefficient for adjusting the impact of power loss and surplus; is the current power loss of the power grid; Is the current power surplus of the power grid;
s52, load selection:
S521, removing distribution network branches of the power supply network, removing the distribution network branches of the power supply network from all distribution network branches of a transformer substation, and taking the rest distribution network branches as candidate distribution network branches, wherein the specific method comprises the following steps:
All distribution network branches of the transformer substation are collected as follows: Wherein, the method comprises the steps of, wherein, Represent the firstBranching a strip distribution network;
The distribution network branch set of the power supply network is as follows: ；
the candidate distribution network branch set is as follows: ；
S522, initializing a circulation variable and accumulating load power, and setting the circulation variable Initializing loop variablesIs provided with the firstThe load power corresponding to the distribution network branch isAccumulating branch load power of distribution network as；
S523, judging whether the accumulated distribution network branch load power is larger than the load shedding amount:
Whether or not it is true, if Then the next step is executed, the loop variableAdding 1 to form a new cyclic variable, i.e; Will be new firstLoad power corresponding to branch of strip distribution networkIs added up toIn (3) repeating the judgment untilEstablishment;
In the process, once If true, record 1 st to 1 stBranch set of strip distribution networkAnd sends trip commands to the branches of the distribution network to cut off the load.
Further, in S6, the method for distributed coordination control includes:
S61, determining a control target, and determining a new output target which each wind turbine should reach according to the emergency control requirement of the power grid and the current output of the wind turbine, so as to realize load shedding or meet other requirements of the power grid; the calculation formula of the new output target is as follows:
；
In the formula (i), For the purpose of a new output target,For the current output of the wind turbine generator,The amount of load to be removed;
s62, calculating adjustment quantity, and calculating output force to be adjusted for each wind turbine according to the performance parameters and load shedding requirements of the wind turbines to ensure that the wind turbines can accurately respond to a control target, wherein the output force to be adjusted of the wind turbines is calculated according to a formula:
；
In the formula (i), The output force required to be adjusted for the wind turbine generator,The amount of load to be removed,Is a coefficient determined according to the performance parameters of the wind turbine,Comprehensively considering the type, capacity and efficiency factors of the wind turbine generator;
s63, generating a control instruction, and generating a specific control instruction according to the adjustment quantity obtained by calculation in the S62 so as to enable the wind turbine generator to adjust the output force to meet the control requirement;
The control instruction comprises pitch angle adjustment, rotation speed adjustment and the like,
For a fixed pitch wind turbine, the adjustment amount of the pitch angle is as follows:
；
for a variable pitch wind turbine, the adjustment amount of the rotating speed is as follows:
；
Wherein, An adjustment amount for the pitch angle; The output force required to be adjusted for the wind turbine generator; Is the rotation speed adjustment quantity; And All are the proportion coefficients of the materials,Reflecting the impact of pitch angle changes on power output,Reflecting the effect of the rotational speed variation on the power output.
Further, in S7, the method for evaluating the effect of wind farm output adjustment on grid frequency support through the evaluation model includes:
s71, establishing a model, wherein the model is expressed as:
；
；
Wherein, Is a primary accumulation sequence of the original data; Is the original data including the new output target Load amount to be cutFrequency extracted by proportional-integral controllerAnd the voltage amplitude obtained after filtering；AndIs a parameter of the model;
using raw data Training a model in whichAndIs estimated by a least square method, and the specific method comprises the following steps:
The process is carried out by the steps of, ；
；
Parameters ofAndThe estimated values of (2) are:
；
Is a vector associated with the original data; Is a matrix associated with the accumulated data; Is that An inverse matrix of (a);
s72, predicting the power grid frequency, and predicting the power grid frequency at the future moment according to the original data, wherein a specific prediction formula is as follows:
；
Wherein, In order to predict the grid frequency at a future time,The method comprises the steps of obtaining a primary accumulation sequence according to model prediction;
S73, evaluating the model precision, evaluating the prediction precision by adopting a mean square error and an absolute average error,
The mean square error calculation formula is:
；
For the frequency extracted by the proportional-integral controller, Time for predicted grid frequencyIs used as a reference to the value of (a),Is the number of samples; the mean square error reflects the average square error between the predicted value and the actual value, and the smaller the value is, the higher the prediction accuracy is;
the absolute average error calculation formula is:
；
the absolute average error reflects the average absolute error between the predicted value and the actual value, and the smaller the value is, the smaller the deviation between the predicted value and the actual value is, and the higher the prediction precision is; For the frequency extracted by the proportional-integral controller, Time for predicted grid frequencyIs used as a reference to the value of (a),Is the number of samples;
s74, analyzing the supporting effect, and analyzing the supporting effect of the wind power plant on the power grid frequency through the deviation reduction degree and the recovery time;
The deviation reduction degree is to evaluate the effect of wind power plant output adjustment on reducing the frequency deviation by comparing the power grid frequency deviation before and after wind power plant output adjustment, and the larger the deviation reduction degree is, the better the supporting effect of the wind power plant on the power grid frequency is, so that the power grid frequency can be more effectively stabilized;
the recovery time is the time required by the frequency to be recovered to the normal range through observation, and the shorter the recovery time is, the more quickly the wind power plant can recover and stabilize the power grid frequency, and the better the supporting effect of the wind power plant on the power grid frequency is.
In summary, by adopting the technical scheme, the beneficial technical effects of the invention are as follows:
the wind power plant self-adaptive distributed coordination control method for quickly supporting the power grid frequency improves the stability of the power grid frequency, and the running state of the power grid can be comprehensively known by collecting basic data of the wind power plant and the running of the power grid, including the bus voltage, the outlet interval state and the like of a transformer substation.
And analyzing the electrical characteristic quantity to obtain the characteristic quantity such as amplitude, frequency and phase of the voltage, and providing accurate data support for the follow-up judgment of the output characteristic of the wind power plant and the running state of the power grid.
The wind power plant output characteristic judgment and the frequency voltage emergency control action decision can timely find the deviation of the power grid frequency, and corresponding control measures are adopted, such as adjusting the generated energy of the wind power plant, starting standby power generation resources or implementing load management strategies, and the like, so that the frequency deviation is effectively reduced, and the stability of the power grid frequency is improved.
The wind power plant self-adaptive distributed coordination control method for rapidly supporting the power grid frequency realizes self-adaptive load shedding and distributed coordination control, a self-adaptive control strategy is formulated according to the requirements of the power grid, and a load shedding calculation formula and a load selection method are applied to realize self-adaptive load shedding. By excluding the distribution network branch of the power supply network, the load is reasonably selected for cutting, so that the power grid can be ensured to operate rapidly and accurately when the load is required to be reduced, and unnecessary energy waste is reduced.
And the distributed coordination control executes control instructions for generating the wind turbine according to the self-adaptive load shedding strategy, and sends the instructions to controllers of all the wind turbine, so that the distributed coordination control is realized. The control mode can ensure that the wind power plant can quickly respond to the emergency control requirement of the power grid, and improves the supporting capacity of the wind power plant on the power grid.
The wind power plant self-adaptive distributed coordination control method for rapidly supporting the power grid frequency optimizes the control strategy of the wind power plant, and the frequency supporting capacity assessment establishes an assessment model by using the results of the steps S1 to S6 to assess the supporting effect of the power grid output adjustment on the power grid frequency. The prediction accuracy is evaluated by adopting the mean square error and the absolute average error, so that the supporting effect of the wind power plant on the power grid frequency can be accurately known.
The control strategy optimization and adjustment is based on the frequency support capability assessment results, analyzes possible problems in the control strategy, and adjusts relevant parameters. For example, control parameters (such as relevant parameters of pitch angle adjustment and rotation speed adjustment) of the wind turbine generator, strategy parameters (such as weight coefficients and the like) of load shedding, threshold parameters related to power grid frequency and voltage and the like are adjusted according to the evaluation result. The adjusted control strategy is applied to distributed coordination control of the wind power plant, so that optimization and updating of the control strategy are realized, and the wind power plant can better adapt to the change and the requirement of the operation of a power grid.
Drawings
FIG. 1 is a flowchart of a wind farm adaptive distributed coordination control method for rapid grid frequency support;
FIG. 2 is a flow chart of a method for obtaining a characteristic voltage amplitude;
FIG. 3 is a flow chart of a method of determining output characteristics of a wind farm;
FIG. 4 is a flow chart of an adaptive load shedding strategy formulation method;
FIG. 5 is a flow chart of a method of distributed coordination control;
FIG. 6 is a flow chart of a method of evaluating the supporting effect of wind farm output adjustment on grid frequency;
Detailed Description
In order to make the objects, technical solutions and advantages of the present disclosure more apparent, the present disclosure will be further described in detail with reference to the following examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
As shown in fig. 1, the wind farm self-adaptive distributed coordination control method for quickly supporting the grid frequency comprises the following steps:
S1, basic data of wind power plants and power grid operation are collected, wherein the basic data comprise bus voltage of a transformer substation, outlet interval state data, current components of three-phase alternating current signals, current and voltage signals of the three-phase alternating current and the like;
S2, analyzing electrical characteristic quantities, and acquiring characteristic quantities such as amplitude, frequency and phase of voltage based on the data acquired in the S1, wherein the characteristic quantities are used for subsequently judging the output characteristics of a wind power plant and the running state of a power grid;
As shown in fig. 2, in S2, the method for obtaining the voltage amplitude characteristic quantity includes:
S21, coordinate transformation, namely converting the three-phase alternating current signals acquired in the S1 from a three-phase static coordinate system (abc coordinate system) to a vector rotation space coordinate system (dq coordinate system), wherein the formula is as follows:
；
In the formula (i), AndRespectively shown in(Straight axis)Current components on axes (quadrature axes);、、 Respectively three-phase current 、、A component on the phase; Is the rotation angle, and is related to the phase of the power grid;
S22, using a low-pass filter pair to transform coordinates and then (Straight axis)The voltage components on the axes (intersecting axes) are filtered to obtain voltage amplitude values, and the formula is:
；
；
；
；
；
；
the voltage amplitude is obtained after filtering; is the rotation angle; And Is transformed into coordinates(Straight axis)Voltage components on axes (intersecting axes);、、 to convert the components of the voltage in the vector rotation space coordinate system back to components in the three-phase stationary coordinate system;
in the step S2, the method for obtaining the frequency characteristic quantity includes:
the voltage signal is processed through a proportional-integral controller, the frequency is extracted, and the formula is:
；
Wherein, Is the frequency extracted by the proportional-integral controller; The error signal (such as the difference between the actual voltage and the set voltage) is the difference between the actual voltage and the set voltage, which reflects the deviation degree of the system, and the controller adjusts the output according to the error signal to reduce the deviation; for the proportionality coefficient, the instant response degree of the controller to the error signal is determined to be larger The value will make the controller more sensitive to the error signal, and can adjust the output faster, but may cause the system to be unstable and generate oscillations; is an integral coefficient for eliminating steady state error of the system, and is smaller The value will make the integral action weaker and biggerThe values may cause integral saturation that slows down the system response and even loses stability.
In the step S2, the method for obtaining the phase characteristic quantity includes:
integrating the frequency signal to obtain an integrated phase, wherein the formula is as follows:
；
For the frequency extracted by the proportional-integral controller, For the integrated phase obtained by integration, the integrated phase signal reflects the phase information of the voltage signal.
S3, judging the output characteristics of the wind power plant, calculating active power according to the electrical characteristic quantity extracted in the S2, and determining the output characteristics of the wind power plant by combining the calculation result of the active power and the power duration time;
as shown in fig. 3, in S3, determining the output characteristic of the wind farm includes the following steps:
s31, calculating active power, wherein a calculation formula of the active power is as follows:
；
；
；
；
；
；
；
；
；
；
；
the voltage amplitude is obtained after filtering; Is the direct axis of current in the vector rotation space coordinate system Components of (2);、、 to convert the components of the voltage in the vector rotation space coordinate system back to components in the three-phase stationary coordinate system; And Is transformed into coordinatesAndA voltage component on the shaft;、、 to convert the components of the current in the vector rotation space coordinate system back to components in the three-phase stationary coordinate system; And Is the component of the current in the vector rotation space coordinate system; is the rotation angle; Is the voltage phase; is the current phase; Is the phase difference between voltage and current;
s32, determining the output characteristics of the wind power plant according to the calculation result of the active power and the duration of the power,
If it isAnd last stable for a period of timeDetermining the power supply characteristic; if it isAnd maintain this state for the same timeJudging the load characteristic; in the judging process, continuously monitoring the change condition of the active power to ensure that the requirement of duration is met, and in the whole process；
S4, deciding the emergency control action of the frequency voltage, and judging whether the power grid is in a state requiring emergency control based on the electrical characteristic quantities such as the frequency and the voltage obtained in the S2 and the output characteristic of the wind power plant determined in the S3;
in the step S4, determining whether the power grid is in a state requiring emergency control includes:
By comparing whether the absolute value of the difference between the frequency extracted by the proportional-integral controller and the standard frequency exceeds a preset threshold value, when When the absolute value of the difference value between the frequency extracted by the proportional-integral controller and the standard frequency exceeds a preset threshold value, the frequency extracted by the proportional-integral controller is greatly deviated, and an emergency control action is needed to be adopted to adjust the frequency of the power grid; wherein, For the frequency extracted by the proportional-integral controller,In order to set the standard frequency of the frequency,Is a preset frequency deviation threshold;
Whether the absolute value of the difference between the voltage amplitude obtained after filtering and the set standard voltage amplitude is larger than the preset voltage amplitude deviation threshold value or not, when When the absolute value of the difference between the voltage amplitude obtained after filtering and the set standard voltage amplitude is larger than the preset voltage amplitude deviation threshold value, the voltage amplitude obtained after filtering is abnormal, and the emergency control action is required to ensure that the voltage is stable within a reasonable range; wherein, In order to obtain the voltage amplitude after filtering,The set standard voltage amplitude value is used for setting the voltage,A preset voltage amplitude deviation threshold value;
Comparing the frequency and the change rate of the voltage amplitude when And is also provided withThe change rates of the frequency and the voltage respectively exceed corresponding preset change rate thresholds, and the state change of the power grid is quick, so that emergency control actions are needed to stabilize the power grid; And The rate of change of frequency and voltage respectively,AndA corresponding preset change rate threshold value is set;
Emergency control measures may include, but are not limited to: adjusting the power generation of the wind farm to provide the necessary frequency support; starting a standby power generation resource to quickly respond to the requirement of the power grid; load management strategies, such as demand response or load shedding, are implemented to reduce grid load.
S5, formulating an adaptive control strategy, namely when the power grid needs to be subjected to load shedding according to the judging result of the step 4, applying a load shedding amount calculation formula, and selecting a proper load for shedding according to the wire outlet interval data and the priority of the load so as to realize adaptive load shedding;
as shown in fig. 4, the adaptive load shedding policy formulation method includes:
s51, calculating the load reduction amount, wherein the load reduction amount is calculated by using a weighting coefficient in consideration of the influence of power loss and surplus:
；
is the load quantity to be cut off; And Is a weight coefficient for adjusting the impact of power loss and surplus; is the current power loss of the power grid; Is the current power surplus of the power grid;
s52, load selection:
S521, removing distribution network branches of the power supply network, removing the distribution network branches of the power supply network from all distribution network branches of the transformer substation, and taking the rest distribution network branches as candidate distribution network branches;
All distribution network branches of the transformer substation are collected as follows: Wherein, the method comprises the steps of, wherein, Represent the firstBranching a strip distribution network;
The distribution network branch set of the power supply network is as follows: ；
the candidate distribution network branch set is as follows: ；
S522, initializing a circulation variable and accumulating load power, and setting the circulation variable Initializing loop variablesIs provided with the firstThe load power corresponding to the distribution network branch isAccumulating branch load power of distribution network as；
S523, judging whether the accumulated distribution network branch load power is larger than the load shedding amount:
Whether or not it is true, if Then the next step is executed, the loop variableAdding 1 to form a new cyclic variable, i.e; Will be new firstLoad power corresponding to branch of strip distribution networkIs added up toIn (3) repeating the judgment untilEstablishment;
In the process, once If true, record 1 st to 1 stBranch set of strip distribution networkAnd sends trip commands to the branches of the distribution network to cut off the load.
S6, executing distributed coordination control, generating control instructions of the wind turbines according to the self-adaptive load shedding strategy formulated in the S5, and sending the instructions to controllers of the wind turbines to realize distributed coordination control so as to ensure that a wind farm can quickly respond to emergency control demands of a power grid;
as shown in fig. 5, in S6, the method for distributed coordination control includes:
S61, determining a control target, namely determining a new output target which each wind turbine should reach according to the emergency control requirement of the power grid and the current output of the wind turbines, and realizing load shedding or meeting other requirements of the power grid; the calculation formula of the new output target is as follows:
；
In the formula (i), For the purpose of a new output target,For the current output of the wind turbine generator,Is the load quantity to be cut;
S62, calculating the adjustment quantity, namely calculating the output quantity to be adjusted for each wind turbine according to the performance parameters and the load shedding requirement of the wind turbine so as to ensure that the wind turbine can accurately respond to the control target, wherein the output quantity to be adjusted of the wind turbine is calculated according to the calculation formula:
；
In the formula (i), The output force required to be adjusted for the wind turbine generator; is the load quantity to be cut; is a coefficient determined according to the performance parameters of the wind turbine, Factors such as the type, capacity, efficiency and the like of the wind turbine are comprehensively considered, so that the calculated adjustment quantity is ensured to be matched with the actual capacity of the wind turbine;
S63, generating a control instruction according to the adjustment quantity obtained by calculation in the S62, and generating a specific control instruction so as to enable the wind turbine generator to adjust the output force to meet the control requirement;
The control instruction comprises pitch angle adjustment, rotation speed adjustment and the like,
For a fixed pitch wind turbine, the adjustment amount of the pitch angle is as follows:
；
for a variable pitch wind turbine, the adjustment amount of the rotating speed is as follows:
；
Wherein, An adjustment amount for the pitch angle; The output force required to be adjusted for the wind turbine generator; Is the rotation speed adjustment quantity; And All are the proportion coefficients of the materials,Reflecting the impact of pitch angle changes on power output,Reflecting the effect of the rotational speed variation on the power output.
S7, evaluating the frequency supporting capability, establishing an evaluation model by utilizing the results of S1 to S6, and evaluating the supporting effect of the wind power plant output adjustment on the power grid frequency through the evaluation model;
As shown in fig. 6, the method for evaluating the effect of wind farm output adjustment on grid frequency support through an evaluation model includes:
s71, establishing a model, wherein the model is expressed as:
；
；
Wherein, Is a primary accumulation sequence of the original data; Is the original data including the new output target Load amount to be cutFrequency extracted by proportional-integral controllerAnd the voltage amplitude obtained after filtering；AndIs a parameter of the model;
using raw data Training a model in whichAndIs estimated by a least square method, and the specific method comprises the following steps:
The process is carried out by the steps of, ；
；
Parameters ofAndThe estimated values of (2) are:
；
Is a vector associated with the original data; Is a matrix associated with the accumulated data; Is that An inverse matrix of (a);
s72, predicting the power grid frequency, and predicting the power grid frequency at the future moment according to the original data, wherein a specific prediction formula is as follows:
；
Wherein, In order to predict the grid frequency at a future time,The method comprises the steps of obtaining a primary accumulation sequence according to model prediction;
S73, evaluating the model precision, evaluating the prediction precision by adopting a mean square error and an absolute average error,
The mean square error calculation formula is:
；
For the frequency extracted by the proportional-integral controller, Time for predicted grid frequencyIs used as a reference to the value of (a),Is the number of samples; the mean square error reflects the average square error between the predicted value and the actual value, and the smaller the value is, the higher the prediction accuracy is;
the absolute average error calculation formula is:
；
the absolute average error reflects the average absolute error between the predicted value and the actual value, and the smaller the value is, the smaller the deviation between the predicted value and the actual value is, and the higher the prediction precision is; For the frequency extracted by the proportional-integral controller, Time for predicted grid frequencyIs used as a reference to the value of (a),Is the number of samples;
s74, analyzing the supporting effect, and analyzing the supporting effect of the wind power plant on the power grid frequency through the deviation reduction degree and the recovery time;
The deviation reduction degree is to evaluate the effect of wind power plant output adjustment on reducing the frequency deviation by comparing the power grid frequency deviation before and after wind power plant output adjustment, and the larger the deviation reduction degree is, the better the supporting effect of the wind power plant on the power grid frequency is, so that the power grid frequency can be more effectively stabilized;
The recovery time is the time required by the frequency to recover to the normal range through observation, and the shorter the recovery time is, the more quickly the wind power plant can recover and stabilize the power grid frequency, and the better the supporting effect of the wind power plant on the power grid frequency is.
The foregoing description of the preferred embodiment of the invention is not intended to limit the invention, but is intended to cover all modifications, equivalents, and alternatives falling within the spirit and principles of the invention.
Claims (8)
1. The wind power plant self-adaptive distributed coordination control method for rapidly supporting the power grid frequency is characterized by comprising the following steps of:
S1, data acquisition, namely acquiring basic data of wind power plants and power grid operation;
s2, analyzing the electrical characteristic quantity, and acquiring the amplitude, frequency and phase characteristic quantity of the voltage based on the data acquired in the S1;
S3, judging the output characteristics of the wind power plant, calculating active power according to the electrical characteristic quantity obtained in the S2, and determining the output characteristics of the wind power plant by combining the calculation result of the active power and the power duration;
S4, deciding the emergency control action of the frequency voltage, and judging whether the power grid is in a state requiring emergency control or not based on the electrical characteristic quantity obtained in the S2 and the output characteristic of the wind power plant determined in the S3;
S5, formulating an adaptive control strategy, when the power grid needs to be subjected to load shedding according to the judging result of S4, applying a load shedding amount calculation formula, and selecting a proper load for cutting according to the wire outlet interval data and the priority of the load so as to realize adaptive load shedding;
S6, executing distributed coordination control, generating control instructions of the wind turbines according to the self-adaptive control strategy formulated in the step S5, and sending the instructions to controllers of the wind turbines to realize distributed coordination control;
s7, evaluating the frequency supporting capability, establishing an evaluation model by utilizing the results of S1 to S6, evaluating the wind power plant output and adjusting the power supply by the evaluation model The supporting effect of the network frequency;
In the step S5, the method for formulating the adaptive load shedding strategy includes:
s51, calculating the load reduction amount, wherein the load reduction amount is calculated by using a weighting coefficient in consideration of the influence of power loss and surplus:
；
Is the load quantity to be cut off; and Is a weight coefficient for adjusting the impact of power loss and surplus; is the current power loss of the power grid; is the current power surplus of the power grid;
s52, load selection:
S521, removing distribution network branches of the power supply network, removing the distribution network branches of the power supply network from all distribution network branches of a transformer substation, and taking the rest distribution network branches as candidate distribution network branches, wherein the specific method comprises the following steps:
All distribution network branches of the transformer substation are collected as follows: Wherein, the method comprises the steps of, wherein, Represent the firstBranching a strip distribution network;
The distribution network branch set of the power supply network is as follows: ；
the candidate distribution network branch set is as follows: ；
S522, initializing a circulation variable and accumulating load power, and setting the circulation variable Initializing loop variablesIs provided with the firstThe load power corresponding to the distribution network branch isAccumulating branch load power of distribution network as；
S523, judging whether the accumulated distribution network branch load power is larger than the load shedding amount:
Whether or not it is true, if Then the next step is executed, the loop variableAdding 1 to form a new cyclic variable, i.e; Will be new firstLoad power corresponding to branch of strip distribution networkIs added up toIn (3) repeating the judgment untilEstablishment;
In the process, once If true, record 1 st to 1 stBranch set of strip distribution networkAnd sends trip commands to the branches of the distribution network to cut off the load.
2. The wind farm adaptive distributed coordination control method for rapid grid frequency support according to claim 1, wherein in S2, the method for acquiring the voltage amplitude characteristic quantity comprises the following steps:
S21, coordinate transformation, namely converting the three-phase alternating current signals acquired in the S1 from a three-phase static coordinate system to a vector rotation space coordinate system, wherein the formula is as follows:
；
In the formula (i), AndRespectively shown inAndA current component on the shaft;、、 Respectively three-phase current 、、A component on the phase; Is the rotation angle, and is related to the phase of the power grid;
S22, using a low-pass filter pair to transform coordinates and then AndThe voltage component on the shaft is filtered to obtain a voltage amplitude, and the formula is:
；
；
；
；
；
；
the voltage amplitude is obtained after filtering; is the rotation angle; And Is transformed into coordinatesAndA voltage component on the shaft;、、 To convert the components of the voltage in the vector rotation space coordinate system back to components in the three-phase stationary coordinate system.
3. The wind farm adaptive distributed coordination control method for rapid grid frequency support according to claim 1, wherein in S2, the frequency characteristic quantity obtaining method comprises the following steps:
the voltage signal is processed through a proportional-integral controller, the frequency is extracted, and the formula is:
；
Wherein, Is the frequency extracted by the proportional-integral controller; the error signal is the difference between the actual voltage and the set voltage; is a proportionality coefficient; is an integral coefficient.
4. The wind farm adaptive distributed coordination control method for rapid grid frequency support according to claim 1, wherein in S2, the phase characteristic quantity obtaining method comprises the following steps:
integrating the frequency signal to obtain an integrated phase, wherein the formula is as follows:
；
For the frequency extracted by the proportional-integral controller, For the integrated phase obtained by integration, the integrated phase signal reflects the phase information of the voltage signal.
5. The wind farm adaptive distributed coordination control method for rapid grid frequency support according to claim 1, wherein in S3, determining the output characteristic of the wind farm comprises the following steps:
s31, calculating active power, wherein a calculation formula of the active power is as follows:
；
；
；
；
；
；
；
；
；
；
；
the voltage amplitude is obtained after filtering; Is the direct axis of current in the vector rotation space coordinate system Components of (2);、、 to convert the components of the voltage in the vector rotation space coordinate system back to components in the three-phase stationary coordinate system; And Is transformed into coordinatesAndA voltage component on the shaft;、、 to convert the components of the current in the vector rotation space coordinate system back to components in the three-phase stationary coordinate system; And Is the component of the current in the vector rotation space coordinate system; is the rotation angle; Is the voltage phase; is the current phase; Is the phase difference between voltage and current;
s32, determining the output characteristics of the wind power plant according to the calculation result of the active power and the duration of the power,
If it isAnd last stable for a period of timeDetermining the power supply characteristic; if it isAnd maintain this state for the same timeThen the load characteristic is determined, and the whole process。
6. The wind farm adaptive distributed coordination control method for rapid grid frequency support according to claim 1, wherein in S4, determining whether the grid is in a state requiring emergency control comprises:
By comparing whether the absolute value of the difference between the frequency extracted by the proportional-integral controller and the standard frequency exceeds a preset threshold value, when When the absolute value of the difference value between the frequency extracted by the proportional-integral controller and the standard frequency exceeds a preset threshold value, the frequency extracted by the proportional-integral controller is greatly deviated, and an emergency control action is needed to be adopted to adjust the frequency of the power grid; wherein, For the frequency extracted by the proportional-integral controller,In order to set the standard frequency of the frequency,Is a preset frequency deviation threshold;
Whether the absolute value of the difference between the voltage amplitude obtained after filtering and the set standard voltage amplitude is larger than the preset voltage amplitude deviation threshold value or not, when When the absolute value of the difference between the voltage amplitude obtained after filtering and the set standard voltage amplitude is larger than the preset voltage amplitude deviation threshold value, the voltage amplitude obtained after filtering is abnormal, and the emergency control action is required to ensure that the voltage is stable within a reasonable range; wherein, In order to obtain the voltage amplitude after filtering,The set standard voltage amplitude value is used for setting the voltage,A preset voltage amplitude deviation threshold value;
Comparing the frequency and the change rate of the voltage amplitude when And is also provided withThe change rates of the frequency and the voltage respectively exceed corresponding preset change rate thresholds, and the state change of the power grid is quick, so that emergency control actions are needed to stabilize the power grid; And The rate of change of frequency and voltage respectively,AndIs a corresponding preset change rate threshold value.
7. The wind farm adaptive distributed coordination control method for rapid grid frequency support according to claim 1, wherein in S6, the distributed coordination control method comprises:
S61, determining a control target, namely determining a new output target which each wind turbine should reach according to the emergency control requirement of the power grid and the current output of the wind turbines; the calculation formula of the new output target is as follows:
；
In the formula (i), For the purpose of a new output target,For the current output of the wind turbine generator,The amount of load to be removed;
s62, calculating the adjustment quantity, and calculating the output quantity to be adjusted for each wind turbine according to the performance parameters and the load shedding requirements of the wind turbine, wherein the output quantity to be adjusted of the wind turbine is calculated according to the formula:
；
In the formula (i), The output force required to be adjusted for the wind turbine generator,Is the amount of load to be removed,Is a coefficient determined according to the performance parameters of the wind turbine,Comprehensively considering the type, capacity and efficiency factors of the wind turbine generator;
S63, generating a control instruction according to the adjustment quantity obtained by calculation in the S62, and generating a specific control instruction so as to enable the wind turbine generator to adjust the output force to meet the control requirement;
The control command comprises pitch angle adjustment and rotation speed adjustment,
For a fixed pitch wind turbine, the adjustment amount of the pitch angle is as follows:
；
for a variable pitch wind turbine, the adjustment amount of the rotating speed is as follows:
；
Wherein, An adjustment amount for the pitch angle; The output force required to be adjusted for the wind turbine generator; Is the rotation speed adjustment quantity; And Are all proportionality coefficients.
8. The wind farm adaptive distributed coordination control method for rapid grid frequency support according to claim 1, wherein the method for evaluating the support effect of wind farm output adjustment on grid frequency through an evaluation model comprises the following steps:
s71, establishing a model, wherein the model is expressed as:
；
；
Wherein, Is a primary accumulation sequence of the original data; Is the original data including the new output target Load amount to be cutFrequency extracted by proportional-integral controllerAnd the voltage amplitude obtained after filtering；AndIs a parameter of the model;
using raw data Training a model in whichAndIs estimated by a least square method, and the specific method comprises the following steps:
The process is carried out by the steps of, ；
；
Parameters ofAndThe estimated values of (2) are:
；
Is a vector associated with the original data; Is a matrix associated with the accumulated data; Is that An inverse matrix of (a);
s72, predicting the power grid frequency, and predicting the power grid frequency at the future moment according to the original data, wherein a specific prediction formula is as follows:
；
Wherein, In order to predict the grid frequency at a future time,The method comprises the steps of obtaining a primary accumulation sequence according to model prediction;
S73, evaluating the model precision, evaluating the prediction precision by adopting a mean square error and an absolute average error,
The mean square error calculation formula is:
；
For the frequency extracted by the proportional-integral controller, For the predicted value of the grid frequency over time,Is the number of samples; the mean square error reflects the average square error between the predicted value and the actual value, and the smaller the value is, the higher the prediction accuracy is;
the absolute average error calculation formula is:
；
the absolute average error reflects the average absolute error between the predicted value and the actual value, and the smaller the value is, the smaller the deviation between the predicted value and the actual value is, and the higher the prediction precision is; For the frequency extracted by the proportional-integral controller, Time for predicted grid frequencyIs used as a reference to the value of (a),Is the number of samples;
s74, analyzing the supporting effect, and analyzing the supporting effect of the wind power plant on the power grid frequency through the deviation reduction degree and the recovery time;
The deviation reduction degree is to evaluate the effect of wind power plant output adjustment on reducing the frequency deviation by comparing the power grid frequency deviation before and after wind power plant output adjustment, and the larger the deviation reduction degree is, the better the supporting effect of the wind power plant on the power grid frequency is, so that the power grid frequency can be more effectively stabilized;
The recovery time is the time required by the frequency to be recovered to the normal range through observation, and the shorter the recovery time is, the more quickly the wind power plant can recover and stabilize the power grid frequency, and the better the supporting effect of the wind power plant on the power grid frequency is.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202411195104.2A CN118713122B (en) | 2024-08-29 | 2024-08-29 | Adaptive distributed coordinated control method for wind farms with fast grid frequency support |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202411195104.2A CN118713122B (en) | 2024-08-29 | 2024-08-29 | Adaptive distributed coordinated control method for wind farms with fast grid frequency support |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN118713122A CN118713122A (en) | 2024-09-27 |
| CN118713122B true CN118713122B (en) | 2024-11-12 |
Family
ID=92820347
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202411195104.2A Active CN118713122B (en) | 2024-08-29 | 2024-08-29 | Adaptive distributed coordinated control method for wind farms with fast grid frequency support |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN118713122B (en) |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103457297A (en) * | 2013-07-12 | 2013-12-18 | 武汉大学 | Closed-loop control method for achieving active power adjustment by introducing frequency deviation feedback to have control over voltage |
| CN109494769A (en) * | 2019-01-07 | 2019-03-19 | 华北电力大学 | A kind of wind field participates in frequency modulation method and system |
Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8204632B2 (en) * | 2008-06-03 | 2012-06-19 | Electric Power Research Institute, Inc. | Emergency frequency load shedding scheme |
| CN111245030A (en) * | 2020-03-16 | 2020-06-05 | 华北电力大学 | Distributed power generation virtual synchronous machine control method and system |
| CN116526540A (en) * | 2023-04-28 | 2023-08-01 | 三峡大学 | Coordination control method of offshore wind power flexible direct current system for coping with receiving end alternating current fault |
| CN117039924B (en) * | 2023-07-12 | 2024-05-28 | 三峡大学 | Two-stage under-frequency load reduction method for microgrid considering risk aversion |
| CN117878952A (en) * | 2024-01-12 | 2024-04-12 | 山东大学 | Coordination control method and system based on light-storage flexible resource and low-frequency load shedding |
| CN117878922A (en) * | 2024-01-19 | 2024-04-12 | 国网湖南省电力有限公司 | A method, system and medium for adaptive frequency and voltage emergency control of power system |
-
2024
- 2024-08-29 CN CN202411195104.2A patent/CN118713122B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103457297A (en) * | 2013-07-12 | 2013-12-18 | 武汉大学 | Closed-loop control method for achieving active power adjustment by introducing frequency deviation feedback to have control over voltage |
| CN109494769A (en) * | 2019-01-07 | 2019-03-19 | 华北电力大学 | A kind of wind field participates in frequency modulation method and system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN118713122A (en) | 2024-09-27 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Kusiak et al. | Dynamic control of wind turbines | |
| CN109038613A (en) | A kind of adaptive low frequency deloading method counted and wind-powered electricity generation virtual inertia/primary frequency modulation responds | |
| CN111917111B (en) | Method, system, device and storage medium for online assessment of distributed photovoltaic power supply capacity of distribution network | |
| CN119783997A (en) | A virtual power plant peak load optimization scheduling method, system, electronic equipment and medium | |
| CN110021942B (en) | DCS-based frequency modulation control method | |
| Bianchi et al. | Optimal gain-scheduled control of fixed-speed active stall wind turbines | |
| CN115345519A (en) | Offshore wind power risk assessment method, device, equipment and storage medium | |
| CN119362484A (en) | Static centralized and dynamic distributed coordinated control method for reactive power/voltage in distribution network | |
| CN118713122B (en) | Adaptive distributed coordinated control method for wind farms with fast grid frequency support | |
| CN114362231B (en) | DC frequency modulation parameter optimization method, system and storage medium | |
| CN113193572B (en) | Method for realizing fan control by modeling wind power frequency modulation parameter probability distribution | |
| CN118646148B (en) | An intelligent smoothing method for grid-connected controller | |
| CN119010093B (en) | Rapid voltage and frequency adjusting method for integrated virtual power plant and energy storage system | |
| CN119010090B (en) | Photovoltaic power station rapid frequency modulation response optimization control method, device, equipment and medium | |
| CN110233486A (en) | Energy storage based on active predicting SOC assists fuzzy PID control method | |
| CN119084217B (en) | Water turbine speed regulator control method and system | |
| CN116436160B (en) | AGC performance index on-line monitoring system and method | |
| CN119051178B (en) | Distributed reactive power optimization method for high-voltage distribution network based on high-proportion photovoltaic scenario | |
| CN120262557A (en) | An electrical automation control system and method | |
| CN119419821B (en) | A load balancing method and system based on low frequency and low voltage load shedding | |
| CN117311159B (en) | Self-adaptive adjusting method and device of control system, storage medium and electronic equipment | |
| Machmoed et al. | Performance analysis in PID controller of turbine governor load frequency control using PSO algorithm and fuzzy logic at nickel smelting plant | |
| CN120109889A (en) | Coordinated control system of wind generating set | |
| CN120090297A (en) | Distributed energy management method for optimizing energy distribution and fine regulation | |
| Liang et al. | Load Frequency Control Strategy for Two-Area Power System Considering Deep Reinforcement Learning Algorithm |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |