CN111509745A - Energy storage system EMS discharge control method for solving problem of transformer over-capacity - Google Patents
Energy storage system EMS discharge control method for solving problem of transformer over-capacity Download PDFInfo
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Abstract
The invention discloses an energy storage system EMS discharge control method for solving the problem of transformer over capacity, which reduces the probability of emptying electric quantity in advance or having electric quantity surplus under the premise of meeting the capacity reduction requirement of a transformer within a specified time by estimating the residual electric quantity and combining with the priority execution levels in different time periods, and reduces the times of manually modifying the numerical value setting.
Description
Technical Field
The invention relates to EMS discharge control of an energy storage power station system, and belongs to the technical field of energy storage power station control.
Background
The existing EMS strategy design for solving the problem of excess capacity of each working period of the power transformer is to independently set the working condition of each period according to the transformer load condition of each period in the past, and if the transformer load data after setting is completely consistent with the data before statistics, the requirement reduction of the transformer can be realized according to the existing fixed steps in the specified period, the problem of excess capacity of the transformer is solved, the residual electric quantity in an energy storage power station can be emptied, and the economic benefit maximization is realized. However, in practice, because the values of the plant load curves may be similar every day and may also have a certain difference, if the energy storage system is based on a control strategy independently set at each stage, on the premise of meeting the capacity reduction requirement of the transformer, the residual capacity of the energy storage power station may be emptied in advance within the specified working time, so that the requirement of realizing the capacity reduction within all working times cannot be met, or the residual capacity of the energy storage power station cannot be emptied on the premise of meeting the capacity reduction requirement within the working time, so that the economic benefit maximization of the power station cannot be realized. If the working condition occurs, the matching numerical values of all stages are required to be reset manually according to the existing load, and the operation is complicated.
Disclosure of Invention
The purpose of the invention is as follows: in order to overcome the defects in the prior art, the invention provides an energy storage system EMS discharge control method for solving the problem of transformer over capacity, which reduces the probability of emptying electric quantity in advance or having electric quantity balance on the premise of meeting the capacity reduction requirement of a transformer within a specified time by estimating the residual electric quantity and combining the priority execution levels in different time periods, and reduces the times of manually modifying the numerical value setting.
The technical scheme is as follows: in order to achieve the purpose, the invention adopts the technical scheme that:
an energy storage system EMS discharge control method for solving the problem of transformer over-capacity comprises the following steps:
step 1, dividing time intervals according to local power grid peak valley information and by combining actual working time periods of a factory, defining one of the time intervals of the attributive peak valley according to each time interval, and calculating the actual continuous capacity reduction duration required, namely the sum t of all the time intervalst＝(t1e+t2e+t3e+……tie)-(t1s+t2s+t3s+……tis) Wherein, ttDenotes the sum of the periods, tisIndicating the start of a peak period or a plateau period or a valley periodStarting time, tieIndicating the corresponding termination time.
Step 2, transformer capacity reduction information is that the allowable demand of the transformer is P, the maximum short-time overload under the actual working condition is × P, and the maximum capacity reduction power PMCurrent actual measured super capacity power P is 0.2P ═ 120% -1) × PcActual measurement of total load P of transformerzThe discharging quantity Q is Q at the current state of energy storagenew×SOH×DOD×SOC×ηf，QnewRepresents the maximum amount of electricity when the battery is not in use, SOHIndicating the state of health of the battery, DODIndicating battery depth of discharge, SOC indicating state of charge, ηfIndicating the overall efficiency of the discharge. Capacity reduction power P provided averagely under current residual energy storagep，Pp＝Q/tpThe current actual requirement of the stored energy is set to discharge power PsAnd checking the interval t of the residual electric quantity again in a circulating manner△The discharging time t is still needed at the current timep。
And 3, dividing the divided time period obtained in the step 1 into a peak period time period, a flat period time period and a working period time period according to the peak-to-valley information of the local power grid, wherein the working period time period is the last period of the whole divided time period.
Step 3.1, in the peak period: the main logic is peak discharge, the electricity price is peak electricity price, and on the premise of evaluating the energy margin at the later stage, the section is fully discharged: setting the next interval time t△Internal and discharge power PsThe value: when P is more than or equal to 0c≤PMAnd P isM≤Pp，Ps＝PpAt this time PsIs PpAt t△An internal fixed value. When P is more than or equal to 0c≤PMAnd P isM＞Pp，Ps＝PcAt this time PsIs PcAt t△And sampling the value in real time.
Step 3.2, in the flat period: the main logic is flat-period discharge, the electricity price of the period is lower than that of the peak period, and the next interval time t is set△Internal and discharge power PsThe value: ps＝PcAt this time PsIs PcAt t△And sampling the value in real time.
Step 3.3, in the working period: the main logic is peak discharge, the electricity price is peak electricity price, and the section is fully discharged: when P is more than or equal to 0c≤PMAnd P isM≤Pp≤Pz，Ps＝PpAt this time PsIs PpAt t△ thereinA fixed value. When P is more than or equal to 0c≤PM,Pz≤Pp，Ps＝PzAt this time PsIs PzAt t△And sampling the value in real time. When P is more than or equal to 0c≤PMAnd P isM＞Pp，Ps＝PcAt this time PsIs PcAt t△And sampling the value in real time.
And 4, acquiring a load value Pt from the outlet of the low-voltage side of the transformer and the SOC value of the battery pack under each energy storage converter PCS in the energy storage power station, calculating the current dischargeable quantity, reading each parameter in the step 2, and adjusting the discharge power of the PCS by the method in the step 3 according to the current time period of the system.
Preferably: in all time periods, parameter values are set according to different time period requirements, a peak clipping and valley filling strategy is implemented on the premise of meeting capacity reduction, and PCS discharge power is judged.
Preferably: within the range of the adjusting capacity, the capacity reducing demand control strategy is responded preferentially, and the control strategy is within the range of t1s,t1e]，[t2s,t2e],[t3s,t3e]……[tis,tie]A time period operation load tracking strategy, a capacity reduction demand control strategy, a residual electric quantity calculation strategy and a peak clipping and valley filling strategy.
Preferably: the load tracking means: and monitoring and uploading real-time load data of the transformer according to the peak-valley balance of the local power grid and the operation time period of the factory.
Preferably: the capacity reduction demand control strategy is as follows: and different control strategies are implemented in the peak-valley period to reduce the power consumption capacity of the transformer and prevent the power consumption from exceeding the capacity of the transformer.
Preferably: the residual electric quantity calculation strategy is as follows: and counting the current time period information and the subsequent required working time period, collecting the current SOC residual value of the battery, and calculating the dischargeable residual capacity for reference evaluation of the current discharge power.
Preferably: the peak clipping and valley filling strategies comprise: and adjusting the discharge power in different time periods according to the residual available electric quantity on the premise of meeting the capacity reduction strategy discharge power according to the peak-time electricity price information of the local power grid and the current time period.
Compared with the prior art, the invention has the following beneficial effects:
the invention introduces the concept of residual electric quantity judgment, the set value is a dynamic value, and the cyclic rechecking is carried out at intervals of a period of time (the interval frequency can be set according to the requirement), so that the PCS discharge power is regulated under the condition of meeting the requirement of capacity reduction, the problem of the over capacity of the transformer is solved, and the benefit maximization is realized.
Detailed Description
The invention is further illustrated by the following examples in connection with specific embodiments thereof, it is to be understood that these examples are intended in an illustrative rather than in a limiting sense and that various equivalent modifications of the invention as described herein will occur to those skilled in the art upon reading the present disclosure and are intended to be covered by the appended claims.
An energy storage system EMS discharge control method for solving the problem of transformer over capacity is characterized in that a peak clipping and valley filling strategy, a load tracking strategy, a capacity reduction demand control strategy and a residual electric quantity calculation strategy are configured in an energy management system of an energy storage power station, the capacity reduction demand control strategy is responded preferentially within the adjusting capacity range, and the capacity reduction demand control strategy is responded preferentially at t1s,t1e]，[t2s,t2e],[t3s,t3e]……[tis,tie]A time period operation load tracking strategy, a capacity reduction demand control strategy, a residual electric quantity calculation strategy and a peak clipping and valley filling strategy. The load tracking means: and monitoring and uploading real-time load data of the transformer according to the peak-valley balance of the local power grid and the operation time period of the factory. The capacity reduction demand control strategy is as follows: and different control strategies are implemented in the peak-valley period to reduce the power consumption capacity of the transformer and prevent the power consumption from exceeding the capacity of the transformer. The residual electric quantity calculation strategy is as follows:and counting the current time period information and the subsequent required working time period, collecting the current SOC residual value of the battery, and calculating the dischargeable residual capacity for reference evaluation of the current discharge power. The peak clipping and valley filling strategies comprise: according to the peak-time electricity price information of a local power grid, combining the current time period (peak or flat), on the premise of meeting the discharge power of a capacity reduction strategy, adjusting the discharge power at different time periods according to the residual available electric quantity, collecting a load value Pt and the SOC value of the battery pack under each energy storage converter PCS in the energy storage power station from the low-voltage side outlet of the transformer, and calculating the current dischargeable quantity; the strategy operation needs to follow the priority and coordination principle, and the capacity reducing demand control strategy is preferentially responded in the regulating capacity range at t1s,t1e]，[t2s,t2e],[t3s,t3e]……[tis,tie]A time period operation load tracking strategy, a capacity reduction demand control strategy, a residual electric quantity calculation strategy and a peak clipping and valley filling strategy. In all time periods, parameter values are set according to different time period requirements, a peak clipping and valley filling strategy is implemented on the premise of meeting capacity reduction, PCS discharge power is judged, and operation strategy parameters configured by an energy management system of the energy storage power station are read, wherein the operation strategy parameters comprise operation strategy input time periods [ t [ [ t ] of all operation strategy input time periods1s,t1e]，[t2s,t2e],[t3s,t3e]……[tis,tie]And a discharge power limit value P in each period1，P2，P3……PiInterval time t of execution command within input period△The method comprises the following steps of regulating PCS discharge power according to the time period of the current system and the configured operation strategy:
step 1, dividing time intervals according to local power grid peak valley information and by combining actual working time periods of a factory, defining one of the time intervals of the attributive peak valley according to each time interval, and calculating the actual continuous capacity reduction duration required, namely the sum t of all the time intervalst＝(t1e+t2e+t3e+……tie)-(t1s+t2s+t3s+……tis) Wherein, ttDenotes the sum of the periods, tisRepresenting a peak period or a plateau period orStarting time of the trough period, tieIndicating the corresponding termination time. A certain power saving peak time is: 8: 00-12: 00. 17: 00-21: 00; leveling period: 12: 00-17: 00. 21: 00-24: 00; and (3) a valley period: 0: 00-8:00. Actual working time of the plant: 8: 00-20: 30 (including meal rest time 11: 30-12: 30, 16: 30-17:30) divides the plant working time into the following three sections according to the peak-to-valley time: [8: 00,11: 30]Peak, [ 12: 30,16: 30]Flat, [ 17:30,20: 30]Peak, tt10.5 hours, middle peak13.5 hours, flat segment1Peak interval 4 hours23 hours.
Step 2, transformer capacity reduction information is that the allowable demand of the transformer is P, the maximum short-time overload under the actual working condition is × P, and the maximum capacity reduction power PMCurrent actual measured super capacity power P is 0.2P ═ 120% -1) × PcActual measurement of total load P of transformerzThe discharging quantity Q is Q at the current state of energy storagenew×SOH×DOD×SOC×ηf，QnewRepresents the maximum amount of electricity when the battery is not in use, SOHIndicating the state of health of the battery, DODIndicating battery depth of discharge, SOC indicating state of charge, ηfIndicating the overall efficiency of the discharge. Capacity reduction power P provided averagely under current residual energy storagep，Pp＝Q/tpThe current actual requirement of the stored energy is set to discharge power PsAnd checking the interval t of the residual electric quantity again in a circulating manner△The discharging time t is still needed at the current timep. The maximum allowable demand of the existing transformer is 500kW, and the actual capacity reduction maximum power PM＝(120％-1)×P＝0.2P＝100kW，Qnew1500kWh, S when the energy storage plant is fully charged and not in useOHSet to 100% (decay with cycle number), DODSet to 90%, SOCSet to 100%, ηfIf the energy storage power station is set to 85%, the dischargeable quantity Q is 1500 × 100%, × 90%, × 100, × 85%, 1147.5 kWh.P.p＝Q/ts＝Q/tt＝1147.5/10.5＝109.3kW。
Step 3, according to the peak-to-valley information of the local power grid, the steps are carried outThe division period obtained in step 1 is divided into a peak period, a flat period and a working period, wherein the working period is the last period of the whole division period, and [ t ] is defined in this embodiment1s,t1e]Set as the peak period, [ t ]2s,t2e]Set to a plateau period, [ t ]3s,t3e]Set to the on-period. Set at [ t ] according to the above case1s,t1e]＝[8：00,11：30]For the peak period, [ t ]2s,t2e]＝[12：30,16：30]For a plateau period, [ t3s,t3e]＝[17：30,20：30]Is a period of working hours.
Step 3.1, in the peak period: the main logic is peak discharge, the electricity price is peak electricity price, and on the premise of evaluating the energy margin at the later stage, the section is fully discharged: setting the next interval time t△Internal and discharge power PsThe value: when P is more than or equal to 0c≤PMAnd P isM≤Pp，Ps＝PpAt this time PsIs PpAt t△An internal fixed value. When P is more than or equal to 0c≤PMAnd P isM＞Pp，Ps＝PcAt this time PsIs PcAt t△And sampling the value in real time. In the above case, in the peak period [ 8:00,11: 30]And resetting the starting time as 8:00, t△15 minutes at this point if the battery is fully charged: q1147.5 kWh, Pp109.3kW, then at 8: 00-8: 15 when PcExecuting command P less than or equal to 100kWsAnd (5) after the 15 th minute is finished, judging according to the logic cycle again, wherein the kW is 109.3 kW. Suppose that the energy storage in the valley period is attenuated by some reason or cell, so that Q is changed into 945kWh, Pp90kW, then at 8: 00-8: priority guarantee for Capacity reduction, P, within 15s＝Pc(within this 15 minutes PsAccording to PcMeasured value changes), the discharge time is prolonged, and capacity reduction is ensured.
Step 3.2, in the flat period: the main logic is flat-period discharge, the electricity price of the period is lower than that of the peak period, and the next interval time t is set△Internal and discharge power PsThe value: ps＝PcAt this time PsIs PcAt t△And sampling the value in real time.
Step 3.3, in the working period: the main logic is peak discharge, the electricity price is peak electricity price, and the section is fully discharged: when P is more than or equal to 0c≤PMAnd P isM≤Pp≤Pz，Ps＝PpAt this time PsIs PpAt t△ thereinA fixed value. When P is more than or equal to 0c≤PM,Pz≤Pp，Ps＝PzAt this time PsIs PzAt t△And sampling the value in real time. When P is more than or equal to 0c≤PMAnd P isM＞Pp，Ps＝PcAt this time PsIs PcAt t△And sampling the value in real time. In the above case, during the on-period [ 17:30, 20: 30]In the interior, the rest of the factory starts working from afternoon shift, and is stored until night shift 19: 00, where Q is 825kW, tp1.5 hours, Pp550kW, real Pc＝0，PzIn the real-time change of (0, 500kW), P is required in consideration of no power transmissions＝Pz(at this time PsIs PzAt t△Real time sampled values).
And 4, acquiring a load value Pt from the outlet of the low-voltage side of the transformer and the SOC value of the battery pack under each energy storage converter PCS in the energy storage power station, calculating the current dischargeable quantity, reading each parameter in the step 2, and adjusting the discharge power of the PCS by the method in the step 3 according to the current time period of the system.
The conventional strategy is to set limit values in the previous three segments respectively, for example, a fixed value is set in a first peak segment, and the fixed value is larger than the actual over capacity power, but the randomness of the plant load may cause that the discharge in the first segment is less (the limit value is set to be low), so that the fixed value set for a second peak in the later period is redundant, or the discharge power in the second peak cannot meet the basic capacity reduction function due to the fact that the discharge power is emptied in advance (the set value is larger). Specifically, the control strategy is used for controlling the discharge power of the energy storage power station, and on the premise that the excess capacity does not occur in each working period of the power transformer, the electric quantity of the energy storage power station is discharged according to the preset discharge depth of the energy storage power station in the working time, so that the benefit maximization of the energy storage power station is realized.
The above description is only of the preferred embodiments of the present invention, and it should be noted that: it will be apparent to those skilled in the art that various modifications and adaptations can be made without departing from the principles of the invention and these are intended to be within the scope of the invention.
Claims (7)
1. An energy storage system EMS discharge control method for solving the problem of transformer over-capacity is characterized by comprising the following steps:
step 1, dividing time intervals according to local power grid peak valley information and by combining actual working time periods of a factory, defining one of the time intervals of the attributive peak valley according to each time interval, and calculating the actual continuous capacity reduction duration required, namely the sum t of all the time intervalst＝(t1e+t2e+t3e+……tie)-(t1s+t2s+t3s+……tis) Wherein, ttDenotes the sum of the periods, tisRepresenting the start time, t, of a peak period, or a plateau period, or a valley periodieIndicating the corresponding termination time;
step 2, transformer capacity reduction information is that the allowable demand of the transformer is P, the maximum short-time overload under the actual working condition is × P, and the maximum capacity reduction power PMCurrent actual measured super capacity power P is 0.2P ═ 120% -1) × PcActual measurement of total load P of transformerzThe discharging quantity Q is Q at the current state of energy storagenew×SOH×DOD×SOC×ηf，QnewRepresents the maximum amount of electricity when the battery is not in use, SOHIndicating the state of health of the battery, DODIndicating battery depth of discharge, SOC indicating state of charge, ηfRepresents the comprehensive efficiency of discharge; capacity reduction power P provided averagely under current residual energy storagep，Pp＝Q/tpThe current actual requirement of the stored energy is set to discharge power PsAnd checking the interval t of the residual electric quantity again in a circulating manner△The discharging time t is still needed at the current timep；
Step 3, dividing the divided time interval obtained in the step 1 into a peak period time interval, a flat period time interval and a working period time interval according to peak-to-valley information of a local power grid, wherein the working period time interval is the last period of the whole divided time interval;
step 3.1, in the peak period: the main logic is peak discharge, the electricity price is peak electricity price, and on the premise of evaluating the energy margin at the later stage, the section is fully discharged: setting the next interval time t△Internal and discharge power PsThe value: when P is more than or equal to 0c≤PMAnd P isM≤Pp，Ps＝PpAt this time PsIs PpAt t△An internal fixed value; when P is more than or equal to 0c≤PMAnd P isM＞Pp，Ps＝PcAt this time PsIs PcAt t△Sampling values in real time;
step 3.2, in the flat period: the main logic is flat-period discharge, the electricity price of the period is lower than that of the peak period, and the next interval time t is set△Internal and discharge power PsThe value: ps＝PcAt this time PsIs PcAt t△Sampling values in real time;
step 3.3, in the working period: the main logic is peak discharge, the electricity price is peak electricity price, and the section is fully discharged: when P is more than or equal to 0c≤PMAnd P isM≤Pp≤Pz，Ps＝PpAt this time PsIs PpAt t△An internal fixed value; when P is more than or equal to 0c≤PM,Pz≤Pp，Ps＝PzAt this time PsIs PzAt t△Sampling values in real time; when P is more than or equal to 0c≤PMAnd P isM＞Pp，Ps＝PcAt this time PsIs PcAt t△Sampling values in real time;
and 4, acquiring a load value Pt from the outlet of the low-voltage side of the transformer and the SOC value of the battery pack under each energy storage converter PCS in the energy storage power station, calculating the current dischargeable quantity, reading each parameter in the step 2, and adjusting the discharge power of the PCS by the method in the step 3 according to the current time period of the system.
2. The EMS discharge control method for solving the problem of transformer over-capacity as claimed in claim 1, wherein: in all time periods, parameter values are set according to different time period requirements, a peak clipping and valley filling strategy is implemented on the premise of meeting capacity reduction, and PCS discharge power is judged.
3. The EMS discharge control method for solving the problem of transformer over-capacity as claimed in claim 2, wherein: within the range of the adjusting capacity, the capacity reducing demand control strategy is responded preferentially, and the control strategy is within the range of t1s,t1e]，[t2s,t2e],[t3s,t3e]……[tis,tie]A time period operation load tracking strategy, a capacity reduction demand control strategy, a residual electric quantity calculation strategy and a peak clipping and valley filling strategy.
4. The EMS discharge control method for solving the problem of transformer over-capacity as claimed in claim 3, wherein: the load tracking means: and monitoring and uploading real-time load data of the transformer according to the peak-valley balance of the local power grid and the operation time period of the factory.
5. The EMS discharge control method for solving the problem of transformer over-capacity as claimed in claim 4, wherein: the capacity reduction demand control strategy is as follows: and different control strategies are implemented in the peak-valley period to reduce the power consumption capacity of the transformer and prevent the power consumption from exceeding the capacity of the transformer.
6. The EMS discharge control method for solving the problem of transformer over-capacity as claimed in claim 5, wherein: the residual electric quantity calculation strategy is as follows: and counting the current time period information and the subsequent required working time period, collecting the current SOC residual value of the battery, and calculating the dischargeable residual capacity for reference evaluation of the current discharge power.
7. The EMS discharge control method for solving the problem of transformer over-capacity as claimed in claim 6, wherein: the peak clipping and valley filling strategies comprise: and adjusting the discharge power in different time periods according to the residual available electric quantity on the premise of meeting the capacity reduction strategy discharge power according to the peak-time electricity price information of the local power grid and the current time period.
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| WO2021212732A1 (en) * | 2020-04-24 | 2021-10-28 | 江苏慧智能源工程技术创新研究院有限公司 | Energy management system ems discharge control method for solving problem of transformer overcapacity |
| CN115664037B (en) * | 2022-12-12 | 2023-03-10 | 又一新能源科技(苏州)有限公司 | Energy storage power station multi-end transformer protection system that converges |
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| CN111509745B (en) | 2021-04-06 |
| WO2021212732A1 (en) | 2021-10-28 |
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