CN110401211B - Recognition method of working scene of energy storage power station based on feature extraction - Google Patents
Recognition method of working scene of energy storage power station based on feature extraction Download PDFInfo
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- 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
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
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- 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
- H02J3/48—Controlling the sharing of the in-phase component
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- 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
- H02J3/50—Controlling the sharing of the out-of-phase component
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Abstract
本发明公开了一种基于特征提取的储能电站工作场景识别方法，包括计算调峰所需的有功出力、调频所需的有功出力和调压所需的无功出力；计算储能电站的有效性指标并确定储能电站的容量和换流器容量对于储能电站参与各场景的有效性；计算储能电站的紧急性指标和重要性评定指标；确定储能电站参与各场景的优先级；确定储能电站当下的主要工作场景和辅助工作场景。本发明能够对储能电站的工作场景进行识别和判断，同时还能够基于工作场景的判断和识别作出相应的储能电站的出力控制，从而保证了电网的可靠稳定运行，而且本发明方法可靠性高，科学合理，而且效果较好。
The invention discloses a method for identifying a working scene of an energy storage power station based on feature extraction, which includes calculating the active power output required for peak regulation, the active power output required for frequency regulation and the reactive power output required for voltage regulation; determine the effectiveness of the energy storage power station capacity and converter capacity for the energy storage power station to participate in each scenario; calculate the energy storage power station's emergency index and importance evaluation index; determine the priority of the energy storage power station to participate in each scenario; Determine the current main work scenarios and auxiliary work scenarios of the energy storage power station. The invention can identify and judge the working scene of the energy storage power station, and can also control the output of the corresponding energy storage power station based on the judgment and identification of the working scene, so as to ensure the reliable and stable operation of the power grid, and the method of the invention is reliable High, scientific and reasonable, and the effect is better.
Description
Technical Field
The invention particularly relates to a method for identifying a working scene of an energy storage power station based on feature extraction.
Background
With the development of economic technology, electric energy becomes essential secondary energy in production and life of people, and endless convenience is brought to production and life of people.
Meanwhile, with the rapid rise of the global energy internet, the access proportion of the distributed power supply is increased, the access amount of loads such as electric vehicles is increased, and the complexity of the comprehensive load characteristics of the regional power distribution network is increased sharply, so that the series of problems of the increase of load peak-valley difference of the power distribution network, the deterioration of voltage quality, the reduction of power supply reliability, the difficulty in the absorption of the distributed power supply and the like are caused. The traditional solutions, such as capacity-increasing transformation and other methods, have the problems of difficult implementation or poor economy, and the battery energy storage system has the characteristics of flexible configuration and high schedulability, and can effectively alleviate the series of problems by utilizing the participation in peak regulation application of the power distribution network.
Due to the characteristic of energy space-time translation of the battery energy storage system, the battery energy storage system is most widely applied to peak regulation scenes, and except for peak regulation, the occasions where the energy storage system is most applied can be summarized as follows: frequency modulation, backup power, power tracking, and flicker suppression, among others, there are applications that incorporate voltage regulation into energy storage.
The peak clipping and valley filling is a plan type control strategy, and energy storage charging and discharging can be planned according to a predicted curve, so that the time period of the peak clipping and valley filling required in one day is relatively fixed, and the energy storage is in an idle state in a load interval except the peak clipping and valley filling. Due to the fluctuation and unpredictability of frequency, the acting time and place are uncertain, the frequency modulation frequency in one day is limited, the utilization rate of the energy storage power station is greatly reduced if the energy storage power station is used as a single frequency modulation device, the energy storage capacity required by a scene needing frequency modulation is large, and the economy of an energy storage system is influenced if the energy storage power station is configured with the capacity to be applied to frequency modulation. For the energy storage power station participating in the voltage regulation scene, the problem that the utilization rate of the frequency modulation energy storage power station is low is also solved, the voltage regulation is carried out in a reactive support mode, the energy storage power station gives out active power, if the voltage regulation is used as the purpose that the energy storage power station is connected into a power grid, the energy storage power station does not participate, and only the current converter at the energy storage node plays a role.
At present, the existing method can only perform single scene planning on application scenes of the energy storage power station participating in peak shaving, primary frequency modulation, secondary frequency modulation, voltage regulation and the like, and a scientific and reliable method for researching the application of the energy storage power station participating in multiple scenes is unavailable.
Disclosure of Invention
The invention aims to provide a method for identifying the working scene of an energy storage power station based on feature extraction, which has high reliability, is scientific and reasonable and has better effect.
The invention provides a method for identifying a working scene of an energy storage power station based on feature extraction, which comprises the following steps:
s1, calculating to obtain active output required by peak regulation, active output required by frequency modulation and reactive output required by voltage regulation according to real-time data of a power grid and established peak regulation, frequency modulation and voltage regulation strategies;
s2, calculating the effectiveness index of the energy storage power station, and accordingly determining the effectiveness of the capacity of the energy storage power station and the capacity of the current converter on each scene of the energy storage power station;
s3, calculating an urgency index of the energy storage power station;
s4, calculating an importance evaluation index of the energy storage power station;
s5, determining the priority of the energy storage power station participating in each scene according to the urgency index of the step S3 and the importance assessment index of the step S4;
and S6, determining the current main working scene and auxiliary working scene of the energy storage power station according to the priority result obtained in the step S5.
The method for identifying the working scene of the energy storage power station based on the feature extraction further comprises the following steps:
and S7, determining the active power output and the reactive power output of the energy storage power station according to the active power output required by peak shaving, the active power output required by frequency modulation, the reactive power output required by voltage regulation, the apparent power of a current converter of the energy storage power station obtained in the step S1 and the current main working scene and auxiliary working scene of the energy storage power station obtained in the step S6.
Step S2, calculating an effectiveness index of the energy storage power station, so as to determine the effectiveness of the capacity of the energy storage power station and the capacity of the converter in each scene of the energy storage power station, specifically, calculating the effectiveness index and determining the effectiveness by using the following steps:
A. calculating the peak regulation effectiveness index a by adopting the following formula1：
In the formula,. DELTA.PfActive power output, Δ P, required for peak shavingf0Initial value of active power output when peak shaving power is applied to energy storage power station, EBess0Is the energy storage capacity;
adjusting the total power consumption for peak clipping and valley filling;
B. calculating the frequency modulation effectiveness index a by adopting the following formula2：
In the formula,. DELTA.PpActive power required for frequency modulation, Δ Pp0For storing energyInitial value of active output, E, when the power station is performing frequency modulated outputBess0Is the energy storage capacity;
the total electric quantity consumed for frequency modulation;
C. the pressure regulation effectiveness index a is calculated by adopting the following formula3：
In the formula, delta Q is reactive output required by voltage regulation, and S is the converter capacity of the energy storage node;
D. the effectiveness of the capacity of the energy storage power station and the capacity of the current converter on the energy storage power station participating in each scene is judged by adopting the following rules:
if the peak regulation effectiveness index is 1, indicating that the energy storage power station can participate in a peak regulation working scene; if the peak regulation effectiveness index is 0, indicating that the energy storage power station cannot participate in a peak regulation working scene;
if the frequency modulation effectiveness index is 1, indicating that the energy storage power station can participate in a frequency modulation working scene; if the frequency modulation effectiveness index is 0, indicating that the energy storage power station cannot participate in a frequency modulation working scene;
if the pressure regulation effectiveness index is 1, indicating that the energy storage power station can participate in a pressure regulation working scene; and if the pressure regulating effectiveness index is 0, indicating that the energy storage power station cannot participate in the pressure regulating working scene.
Step S3, calculating the urgency index of the energy storage power station, specifically, calculating the urgency index by adopting the following steps:
a. calculating the peak regulation urgency index b by adopting the following formula1：
In the formula,. DELTA.PcIs the deviation of the actual power curve from its mean value, Δ Pc1Is the lower limit of the absolute value of the deviation, Δ Pc2Is the upper limit of the absolute value of the deviation value;
b. calculating the frequency modulation urgency index b by adopting the following formula2：
In the formula,. DELTA.fcIs a frequency deviation,. DELTA.fc1Is the lower limit of the absolute value of the frequency deviation, Δ fc2Is the upper limit of the absolute value of the frequency deviation;
c. calculating the index b of urgency of pressure regulation by adopting the following formula3：
In the formula,. DELTA.ucFor voltage deviation, Δ uc1Is the lower limit of the absolute value of the voltage deviation, Δ uc2Is the upper limit of the absolute value of the voltage deviation;
d. the peak-regulation urgency index b is calculated as follows1Frequency modulation urgency index b2And the urgency index b of regulating blood pressure3And (5) correcting:
in the formula b1·As a corrected peak regulation urgency index, b2·For the modified urgency index of frequency modulation, b3·The corrected index of the urgency of pressure regulation; dPc(dt) is the voltage to power conversion ratio; df is acThe/dt is the change rate of the power grid frequency; du muc/dtIs the voltage rate of change; k is a radical of1、k2And k3Is a set constant; pcThe power value is the power value of the power grid; f. ofcThe frequency value of the power grid is obtained; u. ofcIs the value of the voltage of the power grid.
And step S4, calculating the importance evaluation index of the energy storage power station, specifically, constructing and determining the importance evaluation index of the energy storage power station by adopting an analytic hierarchy process.
The method for calculating the importance evaluation index of the energy storage power station specifically comprises the following steps of:
(1) constructing a contrast matrix under three scenes of peak regulation, frequency regulation and pressure regulation;
(2) calculating the characteristic vector of the matrix and the relative weight under three scenes;
(3) and checking the consistency of the matrix.
The construction of the contrast matrix in the three scenes of peak regulation, frequency modulation and pressure regulation in the step (1) specifically comprises the following steps:
the importance levels of element i and element j are equally divided into five levels: grade one, grade two, grade three, grade four, grade five;
when the importance degree of the element i and the element j to the previous level factor is the same, aij＝1；
When element i is slightly more important than element j, aij3; the less important definition is: the importance degree is ranked one higher, such as: a grade two-ratio grade I, a grade three-ratio grade II, a grade four-ratio grade III and a grade five-ratio grade IV;
when element i is more important than element j, aij(ii) 5; the important definitions are: the importance degree is ranked two high levels, such as: a grade three-ratio grade I, a grade four-ratio grade II and a grade five-ratio grade III;
when element i is more important than element j, aij7; the much more important definition is: the importance degree is higher and higher, such as: grade four is to grade one, grade five is to grade two;
when element i is more important than element j, aij9; saidThe extremely important definitions are: the importance degree grades are four high, such as: grade five to grade one;
when the importance of the elements i and j is between aij2n-1 and aij2n +1, aij＝2n；n＝1,2,3。
Calculating the feature vector of the matrix and the relative weight under three scenes in the step (2), specifically, calculating the feature vector and the relative weight by adopting the following steps:
1) summing the columns of the matrix;
2) carrying out normalization processing on each column;
3) summing each row of the normalized matrix obtained in step 2) to obtain a feature vector;
4) and carrying out normalization processing on the feature vectors obtained in the step 3) again to obtain relative weight.
And (4) checking the consistency of the matrix in the step (3), specifically, checking the consistency by adopting the following steps:
calculating the maximum characteristic root of the matrix;
calculating the consistency index of the matrix according to the maximum characteristic root of the matrix;
calculating a random consistency ratio; and performing a consistency check of the matrix according to the calculated random consistency ratio.
Determining the current main working scene and the auxiliary working scene of the energy storage power station in the step S6, specifically determining the current main working scene and the auxiliary working scene of the energy storage power station by adopting the following rules:
calculating a scene determination value:
the peak regulation scene decision value is the corrected peak regulation urgency index and the corrected peak regulation urgency index weight;
the frequency modulation scene decision value x is corrected to obtain a frequency modulation urgency index weight;
the pressure regulating scene decision value is x, and the corrected pressure regulating urgency index is the pressure regulating urgency index weight;
x is a set adjustment coefficient between 0 and 1;
judging a working scene:
if the peak-shaving scene decision value is maximum, taking the peak shaving as a main scene and the frequency and pressure modulation as an auxiliary scene;
if the frequency modulation scene decision value is maximum, the frequency modulation is used as a main scene, and the peak-load regulation and the pressure regulation are used as auxiliary scenes;
and if the judgment value of the voltage regulating scene is the maximum, the voltage regulation is used as a main scene, and the peak regulation and frequency modulation are used as an auxiliary scene.
Determining the active power output and the reactive power output of the energy storage power station in the step S7, specifically calculating the active power output and the reactive power output of the energy storage power station by using the following equations:
when the peak regulation is a main scene and the frequency and voltage regulation is an auxiliary scene, the active output P of the energy storage power stationc＝ΔPfReactive power of energy storage power station
When the frequency modulation is used as a main scene and the peak and voltage regulation is used as an auxiliary scene, the active output P of the energy storage power stationc＝ΔPpReactive power of energy storage power station
When the voltage regulation is a main scene and the peak regulation and frequency modulation are auxiliary scenes, the active output of the energy storage power station
Reactive output Q of energy storage power stationc＝ΔQ；
In the formula,. DELTA.PfActive output required for peak shaving, S is converter capacity at the energy storage node, Δ PpThe delta Q is the active output required for frequency modulation and the reactive output required for voltage regulation.
According to the energy storage power station working scene recognition method based on the feature extraction, the working parameters of the power grid and the working parameters of the energy storage power station are obtained through the feature extraction mode, comprehensive study, judgment and analysis are carried out, so that the working scene of the energy storage power station can be recognized and judged, meanwhile, corresponding output control of the energy storage power station can be carried out based on the judgment and the identification of the working scene, and therefore the reliable and stable operation of the power grid is guaranteed.
Drawings
FIG. 1 is a schematic process flow diagram of the process of the present invention.
Detailed Description
FIG. 1 is a schematic flow chart of the method of the present invention: the invention provides a method for identifying a working scene of an energy storage power station based on feature extraction, which comprises the following steps:
s1, calculating to obtain active output required by peak regulation, active output required by frequency modulation and reactive output required by voltage regulation according to real-time data of a power grid and established peak regulation, frequency modulation and voltage regulation strategies;
the energy storage peak regulation strategy is based on the power grid side power data delta P detected by the system,
Obtaining the active output delta P of the energy storage peak regulationfThe energy storage voltage regulation strategy is based on the power grid side voltage data delta u detected by the system,
Obtaining the reactive output delta Q of the energy storage voltage regulation, wherein the energy storage frequency modulation strategy is carried out according to the power grid side frequency data delta f detected by the system,
Obtaining the active output delta P of the energy storage frequency modulationp；
S2, calculating the effectiveness index of the energy storage power station, and accordingly determining the effectiveness of the capacity of the energy storage power station and the capacity of the current converter on each scene of the energy storage power station; specifically, the effectiveness index is calculated and the effectiveness is judged by adopting the following steps:
A. calculating the peak regulation effectiveness index a by adopting the following formula1：
In the formula,. DELTA.PfActive power output, Δ P, required for peak shavingf0Initial value of active power output when peak shaving power is applied to energy storage power station, EBess0Is the energy storage capacity;
adjusting the total power consumption for peak clipping and valley filling;
B. calculating the frequency modulation effectiveness index a by adopting the following formula2：
In the formula,. DELTA.PpActive power required for frequency modulation, Δ Pp0Initial value of active output when frequency-modulated output is applied to an energy-storage power station, EBess0Is the energy storage capacity;
the total electric quantity consumed for frequency modulation;
C. the pressure regulation effectiveness index a is calculated by adopting the following formula3：
In the formula, delta Q is reactive output required by voltage regulation, and S is the converter capacity of the energy storage node;
D. the effectiveness of the capacity of the energy storage power station and the capacity of the current converter on the energy storage power station participating in each scene is judged by adopting the following rules:
if the peak regulation effectiveness index is 1, indicating that the energy storage power station can participate in a peak regulation working scene; if the peak regulation effectiveness index is 0, indicating that the energy storage power station cannot participate in a peak regulation working scene;
if the frequency modulation effectiveness index is 1, indicating that the energy storage power station can participate in a frequency modulation working scene; if the frequency modulation effectiveness index is 0, indicating that the energy storage power station cannot participate in a frequency modulation working scene;
if the pressure regulation effectiveness index is 1, indicating that the energy storage power station can participate in a pressure regulation working scene; if the pressure regulation effectiveness index is 0, indicating that the energy storage power station cannot participate in a pressure regulation working scene;
s3, calculating an urgency index of the energy storage power station; specifically, the method comprises the following steps of:
a. calculating the peak regulation urgency index b by adopting the following formula1：
In the formula,. DELTA.PcIs the deviation of the actual power curve from its mean value, Δ Pc1Is the lower limit of the absolute value of the deviation, Δ Pc2Is the upper limit of the absolute value of the deviation value;
b. calculating the frequency modulation urgency index b by adopting the following formula2：
In the formula,. DELTA.fcIs a frequency deviation,. DELTA.fc1Is the lower limit of the absolute value of the frequency deviation, Δ fc2Is the upper limit of the absolute value of the frequency deviation;
c. calculating the index b of urgency of pressure regulation by adopting the following formula3：
In the formula,. DELTA.ucFor voltage deviation, Δ uc1Is the lower limit of the absolute value of the voltage deviation, Δ uc2Is the upper limit of the absolute value of the voltage deviation;
d. the peak-regulation urgency index b is calculated as follows1Frequency modulation urgency index b2And the urgency index b of regulating blood pressure3And (5) correcting:
in the formula b1·As a corrected peak regulation urgency index, b2·For the modified urgency index of frequency modulation, b3·The corrected index of the urgency of pressure regulation; dPc(dt) is the voltage to power conversion ratio; df is acThe/dt is the change rate of the power grid frequency; du muc(ii) dt is the rate of change of voltage; k is a radical of1、k2And k3Is a set constant; pcThe power value is the power value of the power grid; f. ofcThe frequency value of the power grid is obtained; u. ofcThe value is the voltage value of the power grid;
s4, calculating an importance evaluation index of the energy storage power station; specifically, an importance evaluation index of the energy storage power station is constructed and determined by adopting an analytic hierarchy process; specifically, the importance evaluation index is calculated by the following steps:
(1) constructing a contrast matrix under three scenes of peak regulation, frequency regulation and pressure regulation; specifically, a contrast matrix is constructed by adopting the following rules:
the importance levels of element i and element j are equally divided into five levels: grade one, grade two, grade three, grade four, grade five;
when the importance degree of the element i and the element j to the previous level factor is the same, aij＝1；
When element i is slightly more important than element j, aij3; the less important definition is: the importance degree is ranked one higher, such as: a grade two-ratio grade I, a grade three-ratio grade II, a grade four-ratio grade III and a grade five-ratio grade IV;
when element i is more important than element j, aij(ii) 5; the important definitions are: degree of importanceThe degree is two-level higher, such as: a grade three-ratio grade I, a grade four-ratio grade II and a grade five-ratio grade III; when element i is more important than element j, aij7; the much more important definition is: the importance degree is higher and higher, such as: grade four is to grade one, grade five is to grade two;
when element i is more important than element j, aij9; the extremely important definitions are: the importance degree grades are four high, such as: grade five to grade one;
the method for grading the importance degree and judging the comparison of the importance degree only represents a specific mode, the grading and judging method can also be a definition mode of different numerical values, for example, the importance degree can be divided into more than five grades, and the evaluation method is correspondingly modified in adaptability;
when the importance of the elements i and j is between aij2n-1 and aij2n +1, aij＝2n；n＝1,2,3；
(2) Calculating the characteristic vector of the matrix and the relative weight under three scenes; the method comprises the following steps of:
1) summing the columns of the matrix;
2) normalizing each column
Thereby obtaining a matrix B;
3) summing each row of the normalized matrix B obtained in the step 2) to obtain a feature vector;
4) normalizing the characteristic vector obtained in the step 3) again
Thereby obtaining a relative weight c1＝W1，c2＝W2，c3＝W3；
(3) Checking the consistency of the matrix; the method specifically comprises the following steps of checking consistency:
calculating maximum special of matrixRoot of Chinese wampee
Calculating the consistency index of the matrix according to the maximum characteristic root of the matrix
Calculating a random consistency ratio; and according to the calculated random consistency ratio, carrying out the consistency check of the matrix; in particular to calculate the random consistency ratio
R.i. is an average random consistency index, which is a constant calculated from experience; if the C.R. > 0.1 indicates that the significant level is not maintained, the contrast matrix needs to be adjusted; if the C.R. is less than or equal to 0.1, the significance level is kept, and the contrast matrix is kept consistent;
s5, determining the priority of the energy storage power station participating in each scene according to the urgency index of the step S3 and the importance assessment index of the step S4;
s6, determining the current main working scene and auxiliary working scene of the energy storage power station according to the priority result obtained in the step S5; specifically, the following rules are adopted to determine the current main working scene and auxiliary working scene of the energy storage power station:
calculating a scene determination value:
the peak regulation scene decision value is the corrected peak regulation urgency index and the corrected peak regulation urgency index weight;
the frequency modulation scene decision value x is corrected to obtain a frequency modulation urgency index weight;
the pressure regulating scene decision value is x, and the corrected pressure regulating urgency index is the pressure regulating urgency index weight;
x is a set adjustment coefficient between 0 and 1;
judging a working scene:
if the peak-shaving scene decision value is maximum, taking the peak shaving as a main scene and the frequency and pressure modulation as an auxiliary scene;
if the frequency modulation scene decision value is maximum, the frequency modulation is used as a main scene, and the peak-load regulation and the pressure regulation are used as auxiliary scenes;
if the judgment value of the voltage regulating scene is maximum, the voltage regulation is used as a main scene, and the peak regulation and frequency modulation are used as an auxiliary scene;
s7, determining the active output and the reactive output of the energy storage power station according to the active output required by peak regulation, the active output required by frequency modulation, the reactive output required by voltage regulation, the apparent power of a current converter of the energy storage power station obtained in the step S1 and the current main working scene and auxiliary working scene of the energy storage power station obtained in the step S6: specifically, the active power output and the reactive power output of the energy storage power station are calculated by adopting the following formulas:
when the peak regulation is a main scene and the frequency and voltage regulation is an auxiliary scene, the active output P of the energy storage power stationc＝ΔPfReactive power of energy storage power station
When the frequency modulation is used as a main scene and the peak and voltage regulation is used as an auxiliary scene, the active output P of the energy storage power stationc＝ΔPpReactive power of energy storage power station
When the voltage regulation is a main scene and the peak regulation and frequency modulation are auxiliary scenes, the active output of the energy storage power station
Reactive output Q of energy storage power stationc＝ΔQ；
In the formula,. DELTA.PfActive output required for peak shaving, S is converter capacity at the energy storage node, Δ PpThe delta Q is the active output required for frequency modulation and the reactive output required for voltage regulation.
Claims (9)
1. A method for identifying working scenes of an energy storage power station based on feature extraction comprises the following steps:
s1, calculating to obtain active output required by peak regulation, active output required by frequency modulation and reactive output required by voltage regulation according to real-time data of a power grid and established peak regulation, frequency modulation and voltage regulation strategies;
s2, calculating the effectiveness index of the energy storage power station, and accordingly determining the effectiveness of the capacity of the energy storage power station and the capacity of the current converter on each scene of the energy storage power station;
s3, calculating an urgency index of the energy storage power station; specifically, the method comprises the following steps of:
a. calculating the peak regulation urgency index b by adopting the following formula1：
In the formula,. DELTA.PcIs the deviation of the actual power curve from its mean value, Δ Pc1Is the lower limit of the absolute value of the deviation, Δ Pc2Is the upper limit of the absolute value of the deviation value;
b. calculating the frequency modulation urgency index b by adopting the following formula2：
In the formula,. DELTA.fcIs a frequency deviation,. DELTA.fc1Is the lower limit of the absolute value of the frequency deviation, Δ fc2Is the upper limit of the absolute value of the frequency deviation;
c. calculating the index b of urgency of pressure regulation by adopting the following formula3：
In the formula,. DELTA.ucFor voltage deviation, Δ uc1Is the lower limit of the absolute value of the voltage deviation, Δ uc2Is the upper limit of the absolute value of the voltage deviation;
d. the peak-regulation urgency index b is calculated as follows1Frequency modulation urgency index b2And pressure regulating deviceAcute index b3And (5) correcting:
in the formula b1·As a corrected peak regulation urgency index, b2·For the modified urgency index of frequency modulation, b3.The corrected index of the urgency of pressure regulation; dPc(dt) is the voltage to power conversion ratio; df is acThe/dt is the change rate of the power grid frequency; du muc(ii) dt is the rate of change of voltage; k is a radical of1、k2And k3Is a set constant; pcThe power value is the power value of the power grid; f. ofcThe frequency value of the power grid is obtained; u. ofcThe value is the voltage value of the power grid;
s4, calculating an importance evaluation index of the energy storage power station;
s5, determining the priority of the energy storage power station participating in each scene according to the urgency index of the step S3 and the importance assessment index of the step S4;
and S6, determining the current main working scene and auxiliary working scene of the energy storage power station according to the priority result obtained in the step S5.
2. The energy storage power station working scene recognition method based on feature extraction as claimed in claim 1, characterized by further comprising the steps of:
and S7, determining the active power output and the reactive power output of the energy storage power station according to the active power output required by peak shaving, the active power output required by frequency modulation, the reactive power output required by voltage regulation, the apparent power of a current converter of the energy storage power station obtained in the step S1 and the current main working scene and auxiliary working scene of the energy storage power station obtained in the step S6.
3. The method for identifying the working scene of the energy storage power station based on the feature extraction as claimed in claim 1 or 2, wherein the step S2 is to calculate the validity index of the energy storage power station, so as to determine the validity of the capacity of the energy storage power station and the capacity of the converter for the energy storage power station to participate in each scene, specifically, the following steps are adopted to calculate the validity index and judge the validity:
A. calculating the peak regulation effectiveness index a by adopting the following formula1：
In the formula,. DELTA.PfActive power output, Δ P, required for peak shavingf0Initial value of active power output when peak shaving power is applied to energy storage power station, EBess0Is the energy storage capacity;
adjusting the total power consumption for peak clipping and valley filling;
B. calculating the frequency modulation effectiveness index a by adopting the following formula2：
In the formula,. DELTA.PpActive power required for frequency modulation, Δ Pp0Initial value of active output when frequency-modulated output is applied to an energy-storage power station, EBess0Is the energy storage capacity;
the total electric quantity consumed for frequency modulation;
C. the pressure regulation effectiveness index a is calculated by adopting the following formula3：
In the formula, delta Q is reactive output required by voltage regulation, and S is the converter capacity of the energy storage node;
D. the effectiveness of the capacity of the energy storage power station and the capacity of the current converter on the energy storage power station participating in each scene is judged by adopting the following rules:
if the peak regulation effectiveness index is 1, indicating that the energy storage power station can participate in a peak regulation working scene; if the peak regulation effectiveness index is 0, indicating that the energy storage power station cannot participate in a peak regulation working scene;
if the frequency modulation effectiveness index is 1, indicating that the energy storage power station can participate in a frequency modulation working scene; if the frequency modulation effectiveness index is 0, indicating that the energy storage power station cannot participate in a frequency modulation working scene;
if the pressure regulation effectiveness index is 1, indicating that the energy storage power station can participate in a pressure regulation working scene; and if the pressure regulating effectiveness index is 0, indicating that the energy storage power station cannot participate in the pressure regulating working scene.
4. The method for identifying the working scene of the energy storage power station based on the feature extraction as claimed in claim 3, wherein the step S4 of calculating the importance assessment index of the energy storage power station specifically comprises the following steps of constructing and determining the importance assessment index of the energy storage power station by an analytic hierarchy process:
(1) constructing a contrast matrix under three scenes of peak regulation, frequency regulation and pressure regulation;
(2) calculating the characteristic vector of the matrix and the relative weight under three scenes;
(3) and checking the consistency of the matrix.
5. The method for identifying the working scene of the energy storage power station based on the feature extraction as claimed in claim 4, wherein the step (1) is used for constructing the comparison matrix under the three scenes of peak regulation, frequency modulation and voltage regulation, and specifically, the following rules are adopted for constructing the comparison matrix:
the importance levels of element i and element j are equally divided into five levels: grade one, grade two, grade three, grade four, grade five;
when the importance degree of the element i and the element j to the previous level factor is the same, aij＝1；
When element i is slightly more important than element j, aij3; the less important definition is: the importance degree is ranked one higher, such as: a grade two-ratio grade I, a grade three-ratio grade II, a grade four-ratio grade III and a grade five-ratio grade IV;
when element i is more important than element j, aij(ii) 5; the important definitions are: the importance degree is ranked two high levels, such as: a grade three-ratio grade I, a grade four-ratio grade II and a grade five-ratio grade III;
when element i is more important than element j, aij7; the much more important definition is: the importance degree is higher and higher, such as: grade four is to grade one, grade five is to grade two;
when element i is more important than element j, aij9; the extremely important definitions are: the importance degree grades are four high, such as: grade five to grade one;
when the importance of the elements i and j is between aij2n-1 and aij2n +1, aij＝2n；n＝1,2,3。
6. The method for identifying the working scene of the energy storage power station based on the feature extraction as claimed in claim 5, wherein the feature vector of the matrix and the relative weight under three scenes are calculated in the step (2), and specifically, the feature vector and the relative weight are calculated by adopting the following steps:
1) summing the columns of the matrix;
2) carrying out normalization processing on each column;
3) summing each row of the normalized matrix obtained in step 2) to obtain a feature vector;
4) and carrying out normalization processing on the feature vectors obtained in the step 3) again to obtain relative weight.
7. The method for identifying the working scene of the energy storage power station based on the feature extraction as claimed in claim 6, wherein the consistency of the matrix in the step (3) is checked by adopting the following steps:
calculating the maximum characteristic root of the matrix;
calculating the consistency index of the matrix according to the maximum characteristic root of the matrix;
calculating a random consistency ratio; and performing a consistency check of the matrix according to the calculated random consistency ratio.
8. The method for identifying the working scene of the energy storage power station based on the feature extraction as claimed in claim 7, wherein the step S6 is to determine the current main working scene and the current auxiliary working scene of the energy storage power station, specifically to determine the current main working scene and the current auxiliary working scene of the energy storage power station by using the following rules:
calculating a scene determination value:
the peak regulation scene decision value is the corrected peak regulation urgency index and the corrected peak regulation urgency index weight;
the frequency modulation scene decision value x is corrected to obtain a frequency modulation urgency index weight;
the pressure regulating scene decision value is x, and the corrected pressure regulating urgency index is the pressure regulating urgency index weight;
x is a set adjustment coefficient between 0 and 1;
judging a working scene:
if the peak-shaving scene decision value is maximum, taking the peak shaving as a main scene and the frequency and pressure modulation as an auxiliary scene;
if the frequency modulation scene decision value is maximum, the frequency modulation is used as a main scene, and the peak-load regulation and the pressure regulation are used as auxiliary scenes;
and if the judgment value of the voltage regulating scene is the maximum, the voltage regulation is used as a main scene, and the peak regulation and frequency modulation are used as an auxiliary scene.
9. The method for identifying the working scene of the energy storage power station based on the feature extraction as claimed in claim 8, wherein the step S7 is implemented to determine that the active output and the reactive output of the energy storage power station are as follows:
when the peak regulation is a main scene and the frequency and voltage regulation is an auxiliary scene, the active output P of the energy storage power stationcc＝ΔPfReactive power of energy storage power station
When the frequency modulation is used as a main scene and the peak and voltage regulation is used as an auxiliary scene, the active output P of the energy storage power stationcc＝ΔPpReactive power of energy storage power station
When the voltage regulation is a main scene and the peak regulation and frequency modulation are auxiliary scenes, the active output of the energy storage power station
Reactive output Q of energy storage power stationc＝ΔQ；
In the formula,. DELTA.PfActive output required for peak shaving, S is converter capacity at the energy storage node, Δ PpThe delta Q is the active output required for frequency modulation and the reactive output required for voltage regulation.
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| CN111049161A (en) * | 2020-01-03 | 2020-04-21 | 浙江大学台州研究院 | Energy storage multi-scene application cooperative control method |
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