CN109494771A - New energy power slide control based on the prediction of supercapacitor state-of-charge - Google Patents
New energy power slide control based on the prediction of supercapacitor state-of-charge 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
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Abstract
The invention discloses a kind of new energy power slide controls based on the prediction of supercapacitor state-of-charge comprising the prediction of supercapacitor state-of-charge is adjusted with the instruction of energy storage device output power；New energy target output is obtained in system-level central management unit, supercapacitor is calculated in locally control and battery current time reference output power instructs in advance, subsequent time supercapacitor state-of-charge is predicted with this, whether in allowed limits subsequent time supercapacitor state-of-charge is judged again, if then instructing P in advance according to the reference output power of current time supercapacitor and batterySCref(t) and PBref(t) it exports, if subsequent time supercapacitor state-of-charge exceeds allowed band, supercapacitor charges to battery or battery charges to supercapacitor.So avoid more accurately mixed energy storage system overcharge and over-discharge, while realize new energy real output to new energy target output quickly following.
Description
Technical Field
The invention relates to the technical field of micro-grid control, in particular to a new energy power smoothing control method based on super capacitor charge state prediction.
Background
New energy sources such as wind power generation, photovoltaic power generation and the like are renewable and pollution-free energy sources. However, the output of intermittent energy sources such as wind power and photovoltaic power generation is influenced by natural factors such as climate and terrain, the output has the characteristics of intermittence, volatility and randomness, the output of wind and photovoltaic power generation received by a power grid is greatly influenced, and the stability of the power grid is not facilitated; the rise of the energy storage technology provides possibility for the energy storage system to stabilize the fluctuation of intermittent energy output. Energy storage devices can be broadly classified into two categories: energy-type energy storage and power-type energy storage; the energy type energy storage has high energy density and low cost, but has slow response speed and short cycle life, and can not be charged and discharged with high power, and lithium ion batteries and sodium-sulfur batteries are common; the power type energy storage has high power density, long cycle life, high response speed and high cost. The power fluctuation of the intermittent energy source can be decomposed into multiple frequency bands, and the single energy storage is difficult to effectively stabilize the power of each frequency band. The hybrid energy storage system can exert the advantages of different types of energy storage elements, and the performance and the service life of the hybrid energy storage system are improved.
Through research on the prior documents, a research method for stabilizing wind-solar power generation output of an energy storage system (Ningyang day, Lixiangjun, Dongdua, Jia Ching, Huidong. a research method for stabilizing wind-solar power generation output fluctuation of an energy storage system [ J ]. power supply and utilization, 2017, (04):2-11.) introduces the current power smoothing control method. Among them, the low-pass filtering algorithm is the most common and the implementation is the simplest. On the basis, to avoid overcharge and overdischarge of the energy storage device, most of the current research considers the current time charge state of the energy storage device, and the charge state of the energy storage device is adjusted by adopting a method of adjusting the time constant of the low-pass filter in real time. Although the conventional method can reduce the overcharge and the overdischarge of the energy storage device to a certain degree, the adjustment of the charge state of the energy storage device has certain hysteresis. In addition, although the method for adjusting the time constant of the low-pass filter can ensure that the output power is basically smooth, the consistency between the actual output power of the new energy after being stabilized by the hybrid energy storage system and the target output power of the new energy cannot be ensured.
Aiming at the defects, the invention provides a new energy power smoothing control method based on super capacitor charge state prediction. According to the method, the target output power of the new energy is obtained in a central management unit, and the reference output power pre-instructions of the super capacitor and the storage battery at the current moment are respectively calculated in local control through a low-pass filtering algorithm and a high-pass filtering algorithm, so that the charge state of the super capacitor at the next moment is predicted. And if the charge state of the super capacitor exceeds the allowed charge state range at the next moment, the super capacitor charges and discharges the storage battery so as to realize the adjustment of the charge state of the super capacitor. Compared with the common method for adjusting the charging and discharging power of the energy storage device according to the real-time charge state of the super capacitor, the method is simple to implement and has the self-adaptive characteristic, the overcharge and the overdischarge of the hybrid energy storage system are avoided more accurately, and the fast following of the actual output power of the new energy after the hybrid energy storage system is stabilized to the target output power of the new energy is realized.
Disclosure of Invention
The invention aims to provide a new energy power smooth control method based on super capacitor charge state prediction, and aims to realize the adjustment of the super capacitor charge state, more accurately avoid the overcharge and overdischarge of a hybrid energy storage system, and simultaneously realize the technical problem of fast following of the actual output power of new energy after the hybrid energy storage system is stabilized to the target output power of the new energy.
In order to achieve the purpose, the technical scheme of the invention is as follows: a new energy power smoothing control method based on super capacitor charge state prediction comprises the steps of super capacitor charge state prediction and energy storage device output power instruction adjustment; the method comprises the following specific steps:
the method comprises the following steps: the system level central management unit gives a new energy target output power instruction P at the current moment0(t)；
Step two: the system level central management unit calculates the output power instruction P of the current hybrid energy storage system1(t), calculating a reference output power prearranged command P of the super capacitor and the storage battery at the current moment according to a preset low-pass filtering algorithm and a preset high-pass filtering algorithmSCref(t) and PBref(t), the expression of which is as follows:
P1(t)＝P0(t)-P2(t)
PSCref(t)＝P1(t)-P1(t-1)+PSC(t-1)-(Δt·PSC(t-1))/T
wherein, PBref(t) a reference output power pre-command of the storage battery at the current moment is provided, and the power of the storage battery is specified to be positive during discharging and negative during charging; pSCref(t) as a reference output power pre-command for the supercapacitor at the present moment, likewise specifying the supercapacitor to dischargeThe time power is positive, and the time power is negative during charging; pB(T-1) is the reference output power of the storage battery at the previous moment, delta T is the sampling period of the actual system, and T is the time constant of the low-pass filter and the high-pass filter;
step three: predicting the charge state of the super capacitor at the next moment according to the charge state of the super capacitor at the current moment and a reference output power pre-command of the super capacitor at the current moment; the calculation formula is as follows:
wherein S issoc(t +1) is the predicted value of the state of charge of the super capacitor at the next moment; ssoc(t) is the state of charge of the supercapacitor at the current moment; eSCThe rated capacity of the super capacitor;
step four, adjusting the output power instruction of the energy storage device, namely judging whether the predicted value of the state of charge of the super capacitor at the next moment exceeds the allowed state of charge range by the system level central management unit, and if not, pre-instructing P according to the reference output power of the super capacitor and the storage battery at the current momentSCref(t) and PBrefAnd (t) outputting, and if the output exceeds the preset value, controlling the super capacitor to charge or discharge.
The new energy power smoothing control method based on the super capacitor state of charge prediction comprises the following steps that in the step one, a new energy target output power instruction P at the current moment0(t) the system level central management unit collects the new energy generator set output P at the current moment2(t) and making an operation decision of the intermittent power source by combining the relevant operation standard and the operation condition of the system.
The new energy power smoothing control method based on the super capacitor state of charge prediction comprises the following steps of:
step A: the system level central management unit judges whether the predicted charge state of the super capacitor at the next moment exceeds the allowed charge state range, if not, the actual output power instruction of the super capacitor and the storage battery is equal to the reference output power pre-instruction PSCref(t) and PBref(t), skipping to step C; otherwise, entering the step B;
and B: the system level central management unit judges the relationship between the predicted state of charge of the super capacitor at the next moment and the allowed upper and lower limits of the state of charge, and adjusts the output power of the super capacitor and the storage battery at the current moment, specifically as follows:
1) if it isAnd adjusting the state of charge of the super capacitor by utilizing the discharge of the storage battery, and calculating to obtain the actual output power instruction of the super capacitor and the storage battery at the current moment, wherein the expression is as follows:
wherein,respectively an upper limit value and an upper limit adjusting value of the charge state of the super capacitor;
2) if it isThe state of charge of the super capacitor is adjusted by utilizing the discharge of the storage battery, the actual output power instruction of the super capacitor and the storage battery at the current moment is obtained by recalculation,the expression is as follows:
wherein,respectively a super capacitor charge state lower limit value and a lower limit adjusting value;
and C: and the central management unit issues the actual output power instruction of the energy storage device to the local controller so as to complete smooth control of the new energy power.
The new energy power smoothing control method based on the supercapacitor charge state prediction is characterized in that the allowable charge state range in the step A isWherein,is the lower limit value of the charge state of the super capacitor,the upper limit value of the charge state of the super capacitor.
Has the advantages that: according to the method, the new energy target output power is obtained in a system-level central management unit, and then a reference output power pre-command of a super capacitor and a storage battery at the current moment is respectively calculated in local control through a low-pass filtering algorithm and a high-pass filtering algorithm, so that the charge state of the super capacitor at the next moment is predicted; and then judging whether the charge state of the super capacitor at the next moment is in the allowed charge state range, if so, judging whether the charge state of the super capacitor is in the allowed charge state rangeThe reference output power pre-command P of the super capacitor and the storage battery at the current momentSCref(t) and PBrefAnd (t) outputting, wherein if the charge state of the super capacitor exceeds the allowed charge state range at the next moment, the super capacitor charges the storage battery or the storage battery charges the super capacitor, so that the charge state of the super capacitor is adjusted. Compared with the common method for adjusting the charging and discharging power of the energy storage device according to the real-time charge state of the super capacitor, the method has the advantages that the overcharge and the overdischarge of the hybrid energy storage system are avoided more accurately, and the fast following of the actual output power of the new energy after the hybrid energy storage system is stabilized to the target output power of the new energy is realized.
Drawings
FIG. 1 is a flow chart of the steps of the present invention.
FIG. 2 is a flowchart of a new energy power smoothing control method of the present invention
Fig. 3 is a block diagram of the new energy power smoothing control of the present invention.
FIG. 4 is some typical wind power data.
Fig. 5 is a graph comparing the target output power of the new energy with the actual output power of the new energy after the stabilization.
Fig. 6 is supercapacitor state of charge.
Fig. 7 is the actual output power of the supercapacitor.
Fig. 8 shows the actual output power of the battery.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer and clearer, the present invention is further described in detail below with reference to the accompanying drawings and examples.
As shown in fig. 1, a method for controlling power smoothing of new energy based on state of charge prediction of a super capacitor is disclosed, which includes predicting state of charge of the super capacitor and adjusting an output power instruction of an energy storage device; the method comprises the following specific steps:
the method comprises the following steps: the system level central management unit gives a new energy target output power instruction P at the current moment0(t)；
Step two: the system level central management unit calculates the output power instruction P of the current hybrid energy storage system1(t), calculating a reference output power prearranged command P of the super capacitor and the storage battery at the current moment according to a preset low-pass filtering algorithm and a preset high-pass filtering algorithmSCref(t) and PBref(t), the expression of which is as follows:
P1(t)＝P0(t)-P2(t)
PSCref(t)＝P1(t)-P1(t-1)+PSC(t-1)-(Δt·PSC(t-1))/T
wherein, PBref(t) a reference output power pre-command of the storage battery at the current moment is provided, and the power of the storage battery is specified to be positive during discharging and negative during charging; pSCref(t) a reference output power pre-command of the super capacitor at the current moment, and similarly, the power of the super capacitor during discharging is positive, and the power of the super capacitor during charging is negative; pB(T-1) is the reference output power of the storage battery at the previous moment, delta T is the sampling period of the actual system, and T is the time constant of the low-pass filter and the high-pass filter;
step three: predicting the charge state of the super capacitor at the next moment according to the charge state of the super capacitor at the current moment and a reference output power pre-command of the super capacitor at the current moment, wherein the calculation formula is as follows:
wherein S issoc(t +1) is the predicted value of the state of charge of the super capacitor at the next moment; ssoc(t) is the state of charge of the supercapacitor at the current moment; eSCThe rated capacity of the super capacitor;
step four, adjusting the output power instruction of the energy storage device, namely judging whether the predicted value of the state of charge of the super capacitor at the next moment exceeds the allowed state of charge range by the system level central management unit, and if not, pre-instructing P according to the reference output power of the super capacitor and the storage battery at the current momentSCref(t) and PBrefAnd (t) outputting, and if the output exceeds the preset value, controlling the super capacitor to charge or discharge.
The new energy power smoothing control method based on the super capacitor state of charge prediction comprises the following steps that in the step one, a new energy target output power instruction P at the current moment0(t) the system level central management unit collects the new energy generator set output P at the current moment2(t) and making an operation decision of the intermittent power source by combining the relevant operation standard and the operation condition of the system.
The new energy power smoothing control method based on the super capacitor state of charge prediction comprises the following steps of:
step A: the system level central management unit judges whether the predicted charge state of the super capacitor at the next moment exceeds the allowed charge state range, if not, the actual output power instruction of the super capacitor and the storage battery is equal to the reference output power pre-instruction PSCref(t) and PBref(t), skipping to step C; otherwise, entering the step B;
and B: the system level central management unit judges the relationship between the predicted state of charge of the super capacitor at the next moment and the allowed upper and lower limits of the state of charge, and adjusts the output power of the super capacitor and the storage battery at the current moment, specifically as follows:
1) if it isThe state of charge of the super capacitor is adjusted by utilizing the discharge of the storage battery, at the moment, the actual output power instruction of the super capacitor and the storage battery at the current moment is obtained through calculation, and the expression is as follows:
wherein,respectively an upper limit value and an upper limit adjusting value of the charge state of the super capacitor;
2) if it isAnd then, the state of charge of the super capacitor is adjusted by utilizing the discharge of the storage battery, and at the moment, the actual output power instructions of the super capacitor and the storage battery at the current moment are obtained by recalculation, wherein the expression is as follows:
wherein,respectively a super capacitor charge state lower limit value and a lower limit adjusting value;
and C: and the central management unit issues the actual output power instruction of the energy storage device to the local controller so as to complete smooth control of the new energy power.
The new energy power smoothing control method based on the supercapacitor charge state prediction is characterized in that the allowable charge state range in the step A isWherein,is the lower limit value of the charge state of the super capacitor,the upper limit value of the charge state of the super capacitor.
According to the method, the new energy target output power is obtained in a system-level central management unit, and then a reference output power pre-command of a super capacitor and a storage battery at the current moment is respectively calculated in local control through a low-pass filtering algorithm and a high-pass filtering algorithm, so that the charge state of the super capacitor at the next moment is predicted; judging whether the charge state of the super capacitor at the next moment is in the allowed charge state range, and if so, determining the reference output power pre-command P of the super capacitor and the storage battery at the current momentSCref(t) and PBrefAnd (t) outputting, wherein if the charge state of the super capacitor exceeds the allowed charge state range at the next moment, the super capacitor charges the storage battery or the storage battery charges the super capacitor, so that the charge state of the super capacitor is adjusted. Therefore, the method is simple to implement, has self-adaptive characteristic, and is compared with the conventional method that the storage is adjusted according to the real-time charge state of the super capacitorThe method for charging and discharging power can be used for more accurately avoiding the overcharge and the overdischarge of the hybrid energy storage system and simultaneously realizing the quick following of the actual output power of the new energy source stabilized by the hybrid energy storage system to the target output power of the new energy source.
The method is designed by the following calculation examples for simulation:
fig. 4 shows some typical wind power data, duration 20min, sampling interval 10 s. The power P is taken as new energy output power before stabilization2. Combining engineering practice, the parameters of the selected storage battery are as follows: rated power/rated capacity: 400kW/4000kWh, the selected parameters of the super capacitor are as follows: rated power/rated capacity: 1000kW/1.2 kWh.
The simulation method comprises the following specific steps:
(1) calculating the output power instruction P of the current hybrid energy storage system1(t)＝P0(t)-P2(t), calculating a reference output power prearranged command P of the super capacitor and the storage battery at the current moment according to a preset low-pass filtering algorithm and a preset high-pass filtering algorithmSCref(t) and PBref(t) of (d). The time constant T of the low-pass filter and the high-pass filter is 100 s.
(2) And predicting the charge state of the super capacitor at the next moment according to the charge state of the super capacitor at the current moment and the reference output power pre-command of the super capacitor at the current moment, and adjusting the power command of the energy storage device according to the charge state of the super capacitor at the next moment. Wherein is selected
Through simulation, a comparison graph of the obtained target output power of the new energy and the actual output power of the new energy after stabilization is shown in fig. 5, and the state of charge of the super capacitor is shown in fig. 6. The actual output power of the supercapacitor and the accumulator is shown in fig. 7 and 8.
Simulation results prove that the control method can more accurately avoid overcharge and overdischarge of the super capacitor, and meanwhile, the new energy target output power can be quickly followed by the actual output power of the new energy after the hybrid energy storage system is stabilized.
The above is a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, modifications or equivalent substitutions of the technical solution of the present invention without inventive work may be made without departing from the scope of the present invention.
Claims (4)
1. A new energy power smoothing control method based on super capacitor charge state prediction is characterized by comprising super capacitor charge state prediction and energy storage device output power instruction adjustment; the method comprises the following specific steps:
the method comprises the following steps: the system level central management unit gives a new energy target output power instruction P at the current moment0(t)；
Step two: the system level central management unit calculates the output power instruction P of the current hybrid energy storage system1(t) then filtering according to a predetermined low-pass filtering algorithm and high-pass filteringCalculating reference output power pre-instruction P of super capacitor and storage battery at current moment by wave algorithmSCref(t) and PBref(t), the expression of which is as follows:
P1(t)＝P0(t)-P2(t)
PSCref(t)＝P1(t)-P1(t-1)+PSC(t-1)-(Δt·PSC(t-1))/T
wherein, PBref(t) a reference output power pre-command of the storage battery at the current moment is provided, and the power of the storage battery is specified to be positive during discharging and negative during charging; pSCref(t) a reference output power pre-command of the super capacitor at the current moment, and similarly, the power of the super capacitor during discharging is positive, and the power of the super capacitor during charging is negative; pB(T-1) is the reference output power of the storage battery at the previous moment, delta T is the sampling period of the actual system, and T is the time constant of the low-pass filter and the high-pass filter;
step three: predicting the charge state of the super capacitor at the next moment according to the charge state of the super capacitor at the current moment and a reference output power pre-command of the super capacitor at the current moment; the calculation formula is as follows:
wherein S issoc(t +1) is the predicted value of the state of charge of the super capacitor at the next moment; ssoc(t) is the state of charge of the supercapacitor at the current moment; eSCThe rated capacity of the super capacitor;
step four, adjusting the output power instruction of the energy storage device, namely judging whether the predicted value of the state of charge of the super capacitor at the next moment exceeds the allowed state of charge range by the system level central management unit, and if not, pre-instructing P according to the reference output power of the super capacitor and the storage battery at the current momentSCref(t) and PBref(t) transfusionAnd if the voltage exceeds the preset value, controlling the super capacitor to charge or discharge.
2. The method for controlling power smoothing of the new energy source based on the state of charge prediction of the supercapacitor according to claim 1, wherein in the step one, the target output power command P of the new energy source at the current moment is0(t) the system level central management unit collects the new energy generator set output P at the current moment2(t) and making an operation decision of the intermittent power source by combining the relevant operation standard and the operation condition of the system.
3. The supercapacitor charge state prediction-based new energy power smoothing control method according to claim 1, wherein the step four energy storage device output power command adjustment comprises the following steps:
step A: the system level central management unit judges whether the predicted charge state of the super capacitor at the next moment exceeds the allowed charge state range, if not, the actual output power instruction of the super capacitor and the storage battery is equal to the reference output power pre-instruction PSCref(t) and PBref(t), skipping to step C; otherwise, entering the step B;
and B: the system level central management unit judges the relationship between the predicted state of charge of the super capacitor at the next moment and the allowed upper and lower limits of the state of charge, and adjusts the output power of the super capacitor and the storage battery at the current moment, specifically as follows:
1) if it isAnd adjusting the state of charge of the super capacitor by utilizing the discharge of the storage battery, and calculating to obtain the actual output power instruction of the super capacitor and the storage battery at the current moment, wherein the expression is as follows:
wherein,respectively an upper limit value and an upper limit adjusting value of the charge state of the super capacitor;
2) if it isAnd then, the state of charge of the super capacitor is adjusted by utilizing the discharge of the storage battery, and at the moment, the actual output power instructions of the super capacitor and the storage battery at the current moment are obtained by recalculation, wherein the expression is as follows:
wherein,respectively a super capacitor charge state lower limit value and a lower limit adjusting value;
and C: and the central management unit issues the actual output power instruction of the energy storage device to the local controller so as to complete smooth control of the new energy power.
4. The supercapacitor charge state prediction-based new energy power smoothing control method according to claim 3, wherein the allowed charge state range in the step A isWherein,is the lower limit value of the charge state of the super capacitor,respectively, the upper limit value of the state of charge of the super capacitor.
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| CN111525596A (en) * | 2020-05-07 | 2020-08-11 | 南京工程学院 | Double-battery fluctuation out-of-limit optimization method in wind storage combined system |
| US12230966B2 (en) | 2021-03-29 | 2025-02-18 | Huawei Digital Power Technologies Co., Ltd. | Power control method and apparatus, and energy system |
| CN114069666A (en) * | 2021-11-10 | 2022-02-18 | 中节能风力发电股份有限公司 | Control method and system for energy storage power instruction in wind storage system |
| CN118353148A (en) * | 2024-06-18 | 2024-07-16 | 西安热工研究院有限公司 | Storage battery and super capacitor hybrid energy storage quick charging method and system |
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