WO2021212732A1 - 一种解决变压器超容问题的储能系统ems放电控制方法 - Google Patents

一种解决变压器超容问题的储能系统ems放电控制方法 Download PDF

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WO2021212732A1
WO2021212732A1 PCT/CN2020/115908 CN2020115908W WO2021212732A1 WO 2021212732 A1 WO2021212732 A1 WO 2021212732A1 CN 2020115908 W CN2020115908 W CN 2020115908W WO 2021212732 A1 WO2021212732 A1 WO 2021212732A1
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time
period
peak
discharge
power
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PCT/CN2020/115908
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English (en)
French (fr)
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施海涛
杨帆
司静
瞿懿斐
曹杰
孙洋楼
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江苏慧智能源工程技术创新研究院有限公司
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Publication of WO2021212732A1 publication Critical patent/WO2021212732A1/zh

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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28Arrangements for balancing of the load in a network by storage of energy

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  • the invention relates to an EMS discharge control of an energy storage power station system, and belongs to the technical field of energy storage power station control.
  • the existing EMS strategy design for solving the problem of overcapacity in each working period of power transformers is based on the transformer load conditions of each period in the past, and the working conditions of each period are individually set independently. If the transformer load data after setting is completely consistent with the data before statistics , It can achieve transformer demand reduction according to the existing fixed steps within the specified time period, solve the problem of transformer overcapacity, and empty the remaining power in the energy storage power station to maximize economic benefits.
  • the value of the factory load curve may be similar every day, there may also be certain differences.
  • the energy storage system may appear to be early in the specified working time under the premise of satisfying the requirement of derating the transformer according to the control strategy independently set at each stage.
  • Venting the remaining power of the energy storage power station results in the inability to meet the demand for capacity reduction during all working hours, or the energy storage power station cannot discharge the remaining power under the premise of meeting the capacity reduction during the working time period, and cannot maximize the economic benefits of the power station. If this working condition occurs, it is necessary to manually reset the matching values of each stage according to the existing load, which is cumbersome to operate.
  • the present invention provides an energy storage system EMS discharge control method that solves the problem of transformer overcapacity. Through the estimation of the remaining power, combined with the priority execution level under different time periods, the specified time Under the premise of meeting the requirements of transformer derating, reduce the probability of premature discharge of electricity or electricity balance, and reduce the number of manual modification of numerical settings.
  • An energy storage system EMS discharge control method for solving the problem of transformer overcapacity includes the following steps:
  • Step 1 Divide the time periods according to the information of the local power grid peak, flat and valley combined with the actual working time of the factory.
  • the average derating power P p provided under the current remaining power of the energy storage, P p Q/t p , the current actual need to set the discharge power P s for the current energy storage, the interval time t ⁇ to re-check the remaining power, the current time The discharge time t p is still required.
  • Step 3 According to the peak, flat and valley information of the local power grid, the divided period obtained in step 1 is divided into peak period, normal period, and working period, where the working period is the last segment of the entire divided period.
  • Step 3.1 in the peak period: the main logic is peak discharge, and the electricity price is the peak price.
  • P s P c
  • P s P c
  • P s P z
  • P s P z
  • P s P z
  • P s is the real-time sampling value of P z in t ⁇ at this time.
  • P s P c , at this time P s is the real-time sampling value of P c within t ⁇ .
  • Step 4 Collect the load value Pt from the outlet on the low-voltage side of the transformer and the SOC value of the battery pack state of charge under each energy storage converter PCS in the energy storage power station and calculate the current dischargeable capacity. Read each of the steps in step 2. Parameter, adjust the PCS discharge power through step 3 according to the current system time period.
  • parameter values are set according to different time period requirements, and the peak-shaving and valley-filling strategy is implemented under the premise of satisfying the capacity reduction, and the PCS discharge power is determined.
  • Load tracking refers to monitoring and uploading real-time load data of transformers according to the peak, flat and valley of the local power grid and the operating period of the factory.
  • the described capacity reduction demand control strategy refers to: implementing different control strategies during peak, flat and valley periods to reduce the power consumption of the transformer and prevent the power consumption from exceeding the capacity of the transformer.
  • the remaining power calculation strategy refers to: statistics of the current time period information and subsequent required working time periods, and collecting the current battery SOC remaining value to calculate the dischargeable remaining power, which is used for reference evaluation of the current discharge power.
  • the peak-shaving and valley-filling strategy according to the peak electricity price information of the local power grid, combined with the current time period, under the premise of satisfying the discharge power of the derating strategy, the discharge power in different time periods is adjusted according to the remaining available power.
  • the present invention has the following beneficial effects:
  • the present invention introduces the concept of residual power determination, the set value is a dynamic value, and it is cyclically checked every time interval (interval frequency can be set according to demand), adjusts the PCS discharge power under the premise of satisfying the derating, and solves the problem of transformer overcapacity. At the same time, maximize benefits.
  • An energy storage system EMS discharge control method to solve the problem of transformer overcapacity An energy storage system EMS discharge control method to solve the problem of transformer overcapacity.
  • the peak shaving and valley filling strategy, load tracking strategy, derating demand control strategy, and remaining power calculation strategy are configured in the energy management system of the energy storage power station.
  • Priority response to derating demand control strategy within the range, in [t 1s , t 1e ], [t 2s , t 2e ], [t 3s , t 3e ] >[t is , t ie ] time period
  • Operation load tracking strategy, derating demand control strategy, remaining power calculation strategy, peak shaving and valley filling strategy Load tracking refers to monitoring and uploading real-time load data of transformers according to the peak, flat and valley of the local power grid and the operating period of the factory.
  • the described capacity reduction demand control strategy refers to: implementing different control strategies during peak, flat and valley periods to reduce the power consumption of the transformer and prevent the power consumption from exceeding the capacity of the transformer.
  • the remaining power calculation strategy refers to: collecting the current time period information and the subsequent required working time period, collecting the current battery SOC remaining value to calculate the dischargeable remaining power, which is used for the reference evaluation of the current discharge power.
  • the described peak-cutting and valley-filling strategy According to the peak electricity price information of the local power grid, combined with the current period (peak or flat), under the premise of satisfying the discharge power of the derating strategy, adjust the discharge power in different periods according to the remaining available power.
  • Step 1 Divide the time periods according to the information of the local power grid peak, flat and valley combined with the actual working time of the factory.
  • the peak period of a provincial power grid is: 8:00-12:00, 17:00-21:00; normal period: 12:00-17:00, 21:00-24:00; valley period: 0:00-8 :00.
  • the actual working hours of the factory 8:00-20:30 (including meal break 11:30-12:30, 16:30-17:30)
  • the average derating power P p provided under the current remaining power of the energy storage, P p Q/t p , the current actual need to set the discharge power P s for the current energy storage, the interval time t ⁇ to re-check the remaining power, the current time The discharge time t p is still required.
  • the current maximum allowable transformer demand is 500kW
  • Q new 1500kWh
  • S OH is set to 100% (decays with the number of cycles)
  • D OD is set to 90%
  • S OC is set to 100%
  • ⁇ f is set to 85%
  • Step 3 According to the peak, flat and valley information of the local power grid, the divided period obtained in step 1 is divided into peak period, normal period, and working period. Among them, the working period is the last segment of the entire divided period.
  • [t 1s , T 1e ] is set as peak period
  • [t 2s , t 2e ] is set as normal period
  • [t 3s , t 3e ] is set as working period period.
  • Step 3.1 in the peak period: the main logic is peak discharge, and the electricity price is the peak price.
  • P s P c
  • P s is the real-time sampling value of P c within t ⁇ .
  • P s is the real-time sampling value of P z in t ⁇ at this time.
  • P s P c
  • P s P c
  • P s P c
  • P s P c
  • Q 825kW
  • t p 1.5 hours
  • P p 550kW
  • actual P c 0
  • P z changes in real time at (0,500kW)
  • power transmission is not considered at this time
  • P s P z is required (at this time, P s is the real-time sampling value of P z in t ⁇ ) .
  • Step 4 Collect the load value Pt from the outlet on the low-voltage side of the transformer and the SOC value of the battery pack state of charge under each energy storage converter PCS in the energy storage power station and calculate the current dischargeable capacity. Read each of the steps in step 2. Parameter, adjust the PCS discharge power through step 3 according to the current system time period.
  • the existing strategy is to set the limit value in the previous three segments. For example, set a fixed value in the first peak segment. The fixed value will be greater than the actual overcapacity power. However, due to the randomness of the factory load, the discharge in this stage may be less (restricted (Setting a low value) results in excess when setting a fixed value for the second peak in the later period, or emptying the power in advance (the setting value is larger) causes the second peak to fail to meet the basic derating function. Time period characteristics, which determine the discharge power within a certain interval of the time period. Specifically, this control strategy is used to control the discharge power of the energy storage station. Under the premise that the power transformer will not exceed the capacity during each working period, the energy storage station is discharged according to the preset discharge depth of the energy storage station during the working time to realize energy storage. Maximize the benefits of the power station.

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

一种解决变压器超容问题的储能系统EMS放电控制方法,通过剩余电量的估算,再结合不同时段下优先执行等级,在规定时间内满足变压器降容需求前提下,降低出现提前放空电量或者有电量结余的概率,减少人工修改数值设置的次数,所述放电控制方法引入剩余电量判定概念,设定值为动态值,且每间隔一段时间(间隔频率可以根据需求设定)循环复核,在满足降容前提下调节PCS放电功率,解决了变压器超容问题,同时实现效益最大化。

Description

一种解决变压器超容问题的储能系统EMS放电控制方法 技术领域
本发明涉及一种储能电站系统EMS放电控制,属于储能电站控制技术领域。
背景技术
现有解决电力变压器各工作时段超容问题EMS策略设计,是根据以往每个时段变压器负荷状况,单独对每个时段的工况进行独立设置,如果设置后的变压器负载数据与统计前数据完全一致,则能在规定的时段内按照既有固定步骤实现变压器降需,解决变压器超容问题,又能将储能电站内剩余电量放空,实现经济效益最大化。但实际由于工厂负荷曲线数值每天有可能相似也有可能出现一定差别,如储能系统按照各阶段独立设置的控制策略,在满足给变压器降容的前提下,在规定的工作时间内可能会出现提前放空储能电站残存电量,导致不能满足在所有工作时间内均实现降容的需求,或者储能电站在工作时间段内满足降容的前提下不能放空剩余电量,无法实现电站经济效益最大化。如出现此工况还需人工根据现有负荷,重新设置各阶段匹配数值,操作较繁琐。
发明内容
发明目的:为了克服现有技术中存在的不足,本发明提供一种解决变压器超容问题的储能系统EMS放电控制方法,通过剩余电量的估算,再结合不同时段下优先执行等级,在规定时间内满足变压器降容需求前提下,降低出现提前放空电量或者有电量结余的概率,减少人工修改数值设置的次数。
技术方案:为实现上述目的,本发明采用的技术方案为:
一种解决变压器超容问题的储能系统EMS放电控制方法,包括以下步骤:
步骤1,根据当地电网峰平谷信息并结合工厂实际工作时间段划分时段,每个时段分别定义归属峰平谷其中一种时段,并计算实际需要连续降容时长,即各时段总和t t=(t 1e+t 2e+t 3e+......t ie)-(t 1s+t 2s+t 3s+......t is),其中,t t表示各时段总和,t is表示峰期时段或平期时段或谷期时段的起始时刻,t ie表示相应的终止时刻。
步骤2,变压器降容信息:变压器允许需量为P,实际工况下最大短时间超负荷为120%×P,降容最大功率P M=(120%-1)×P=0.2P,当前实际测量超容功率P c,变压器实测总负载P z,储能当前状态下放电量Q=Q new×S OH×D OD×S OC×η f,Q new表示电池未使用时最大电量,S OH表示电池健康状态,D OD表示电池放电深度,SOC表示荷电状态,η f 表示放电综合效率。储能当前剩余电量下平均提供的降容功率P p,P p=Q/t p,储能当前实际需要设置放电功率P s,再次循环复核剩余电量的间隔时间t Δ,当前所处时刻下仍需放电时长t p
步骤3,根据当地电网峰平谷信息将步骤1得到划分时段分为峰期时段、平期时段以及工作期时段,其中,工作期时段为整个划分时段的最后一段。
步骤3.1,在峰期时段内:主逻辑为峰期放电,电价为峰电价格,在评估后期能有裕度前提下,该段充分放电:设定下一个间隔时间t Δ内,放电功率P s值:当0≤P c≤P M,且P M≤P p,P s=P p,此时P s为P p在t Δ内固定值。当0≤P c≤P M,且P M>P p,P s=P c此时P s为P c在t Δ内实时采样值。
步骤3.2,在平期时段内:主逻辑为平期放电,该段电价低于峰期时段电价,设定下一个间隔时间t Δ内,放电功率P s值:P s=P c,此时P s为P c在t Δ内实时采样值。
步骤3.3,在工作期时段内:主逻辑为峰期放电,电价为峰电价格,该段充分放电:当0≤P c≤P M,且P M≤P p≤P z,P s=P p,此时P s为P p在t Δ内固定值。当0≤P c≤P M,P z≤P p,P s=P z,此时P s为P z在t Δ内实时采样值。当0≤P c≤P M,且P M>P p,P s=P c,此时P s为P c在t Δ内实时采样值。
步骤4,从变压器低压侧出线处采集到负载值Pt以及储能电站中各储能变流器PCS下,电池组荷电状态SOC值并计算出当前可放电量,读取步骤2中的各个参数,根据当前系统所处时间段通过步骤3的方法调节PCS放电功率。
优选的:在所有时段内,根据不同时段要求设置参数值,在满足降容前提下实施削峰填谷策略,判定PCS放电功率。
优选的:在调节能力范围内优先响应降容需量控制策略,在[t 1s,t 1e],[t 2s,t 2e],[t 3s,t 3e]......[t is,t ie]时间段运行负荷跟踪策略、降容需量控制策略、剩余电量计算策略、削峰填谷策略。
优选的:负荷跟踪指:根据当地电网峰平谷和工厂运行时段监控变压器实时负载数据并上传。
优选的:所述的降容需量控制策略指:在峰平谷时段内实施不同的控制策略降低变压器 用电容量,防止用电超过变压器容量。
优选的:所述的剩余电量计算策略指:统计当前所处时段信息与后续需要工作时段,收集当前电池SOC剩余值计算出可放电剩余电量,用于当前放电功率的参考评估。
优选的:所述的削峰填谷策略:根据当地电网峰期电价信息,结合当前所处时段,在满足降容策略放电功率前提下,根据剩余可用电量调整不同时段下的放电功率。
本发明相比现有技术,具有以下有益效果:
本发明引入剩余电量判定概念,设定值为动态值,且每间隔一段时间(间隔频率可以根据需求设定)循环复核,在满足降容前提下调节PCS放电功率,解决了变压器超容问题,同时实现效益最大化。
具体实施方式
下面结合具体实施例,进一步阐明本发明,应理解这些实例仅用于说明本发明而不用于限制本发明的范围,在阅读了本发明之后,本领域技术人员对本发明的各种等价形式的修改均落于本申请所附权利要求所限定的范围。
一种解决变压器超容问题的储能系统EMS放电控制方法,在储能电站能量管理系统中配置削峰填谷策略、负荷跟踪策略、降容需量控制策略、剩余电量计算策略,在调节能力范围内优先响应降容需量控制策略,在[t 1s,t 1e],[t 2s,t 2e],[t 3s,t 3e]......[t is,t ie]时间段运行负荷跟踪策略、降容需量控制策略、剩余电量计算策略、削峰填谷策略。负荷跟踪指:根据当地电网峰平谷和工厂运行时段监控变压器实时负载数据并上传。所述的降容需量控制策略指:在峰平谷时段内实施不同的控制策略降低变压器用电容量,防止用电超过变压器容量。所述的剩余电量计算策略指:统计当前所处时段信息与后续需要工作时段,收集当前电池SOC剩余值计算出可放电剩余电量,用于当前放电功率的参考评估。所述的削峰填谷策略:根据当地电网峰期电价信息,结合当前所处时段(峰或平),在满足降容策略放电功率前提下,根据剩余可用电量调整不同时段下的放电功率,从变压器低压侧出线处采集到负载值Pt以及储能电站中各储能变流器PCS下电池组荷电状态SOC值并计算出当前可放电量;策略运行需要遵循优先级和协调配合原则,在调节能力范围内优先响应降容需量控制策略,在[t 1s,t 1e],[t 2s,t 2e],[t 3s,t 3e]......[t is,t ie]时间段运行负荷跟踪策略、降容需量控制策略、剩余电量计算策略、削峰填谷策略。在所有时段内,根据不同时段要求设置参数值,在满足降容前提下实施削峰填谷策略,判定PCS放电功率,读取储能电站能量管理系统配置的运行策略参数,包括各运行策略投入时段[t 1s,t 1e],[t 2s,t 2e],[t 3s,t 3e]......[t is,t ie]以及各时段内放电功率限制值P 1,P 2,P 3......P i,投入时段内执行命令间隔时间t Δ,根据当前系统所处时间段以及配置的运 行策略调节PCS放电功率,具体包括以下步骤:
步骤1,根据当地电网峰平谷信息并结合工厂实际工作时间段划分时段,每个时段分别定义归属峰平谷其中一种时段,并计算实际需要连续降容时长,即各时段总和t t=(t 1e+t 2e+t 3e+......t ie)-(t 1s+t 2s+t 3s+......t is),其中,t t表示各时段总和,t is表示峰期时段或平期时段或谷期时段的起始时刻,t ie表示相应的终止时刻。某省电网峰期为:8:00-12:00、17:00-21:00;平期:12:00-17:00、21:00-24:00;谷期:0:00-8:00。工厂实际工作时间:8:00-20:30(含就餐休息时间11:30-12:30,16:30-17:30)将工厂工作时间参照峰平谷时刻分成以下三段:[8:00,11:30]峰,[12:30,16:30]平,[17:30,20:30]峰,t t10.5小时,其中峰段 1=3.5小时,平段 1=4小时峰段 2=3小时。
步骤2,变压器降容信息:变压器允许需量为P,实际工况下最大短时间超负荷为120%×P,降容最大功率P M=(120%-1)×P=0.2P,当前实际测量超容功率P c,变压器实测总负载P z,储能当前状态下放电量Q=Q new×S OH×D OD×S OC×η f,Q new表示电池未使用时最大电量,S OH表示电池健康状态,D OD表示电池放电深度,SOC表示荷电状态,η f表示放电综合效率。储能当前剩余电量下平均提供的降容功率P p,P p=Q/t p,储能当前实际需要设置放电功率P s,再次循环复核剩余电量的间隔时间t Δ,当前所处时刻下仍需放电时长t p。现变压器允许需量最大值为500kW,实际降容最大功率P M=(120%-1)×P=0.2P=100kW,Q new=1500kWh,在储能电站充满电量还未使用情形下,S OH设为100%(随循环次数衰减),D OD设为90%,S OC设为100%,η f设为85%,则储能电站充满电量还未使用情形下可放电量Q=1500×100%×90%×100%×85%=1147.5kWh。P p=Q/t s=Q/t t=1147.5/10.5=109.3kW。
步骤3,根据当地电网峰平谷信息将步骤1得到划分时段分为峰期时段、平期时段以及工作期时段,其中,工作期时段为整个划分时段的最后一段,本实施例中将[t 1s,t 1e]设为峰期时段,[t 2s,t 2e]设为平期时段,[t 3s,t 3e]设为工作期时段。按照上述案例设定在[t 1s,t 1e]=[8:00,11:30]为峰期时段,[t 2s,t 2e]=[12:30,16:30]为平期时段,[t 3s,t 3e]=[17:30,20:30]为工作期时段。
步骤3.1,在峰期时段内:主逻辑为峰期放电,电价为峰电价格,在评估后期能有裕度前提下,该段充分放电:设定下一个间隔时间t Δ内,放电功率P s值:当0≤P c≤P M,且 P M≤P p,P s=P p,此时P s为P p在t Δ内固定值。当0≤P c≤P M,且P M>P p,P s=P c此时P s为P c在t Δ内实时采样值。上述案例中,在峰期时段[8:00,11:30]内,重新设定当起始时刻为8:00,t Δ=15分钟此时如果电池满电状态下:Q=1147.5kWh,P p=109.3kW,那么在8:00-8:15内当P c≤100kW执行命令P s=109.3kW,第15分钟结束后重新按上述逻辑循环判定。假设谷期储能因某种原因或者电芯有衰减,导致Q变为945kWh,P p=90kW,那么在8:00-8:15内优先保证降容,P s=P c(在此15分钟内P s根据P c实测值变化),延长放电时间,确保降容。
步骤3.2,在平期时段内:主逻辑为平期放电,该段电价低于峰期时段电价,设定下一个间隔时间t Δ内,放电功率P s值:P s=P c,此时P s为P c在t Δ内实时采样值。
步骤3.3,在工作期时段内:主逻辑为峰期放电,电价为峰电价格,该段充分放电:当0≤P c≤P M,且P M≤P p≤P z,P s=P p,此时P s为P p在t Δ内固定值。当0≤P c≤P M,P z≤P p,P s=P z,此时P s为P z在t Δ内实时采样值。当0≤P c≤P M,且P M>P p,P s=P c,此时P s为P c在t Δ内实时采样值。上述案例中,在工作期时段[17:30,20:30]内,工厂休息从下午班开始上班,储截至晚班时19:00,此时Q=825kW,t p=1.5小时,P p=550kW,实际P c=0,P z在(0,500kW)实时变化,此时考虑不到送电,需要P s=P z(此时P s为P z在t Δ内实时采样值)。
步骤4,从变压器低压侧出线处采集到负载值Pt以及储能电站中各储能变流器PCS下,电池组荷电状态SOC值并计算出当前可放电量,读取步骤2中的各个参数,根据当前系统所处时间段通过步骤3的方法调节PCS放电功率。
现有策略是在之前三段内各自设置限制值,例如在第一峰段设置一个固定值,固定值会大于实际超容功率,但是由于工厂负荷的随机性可能导致该阶段放电较少(限制值设低)导致后期第二峰设置固定值时有多余,或者提前放空电量(设置值较大)导致第二峰无法满足基础降容功能,本发明利用采集实时运行数据信息,根据当前所处时段特性,决策该时段中一定间隔时间内的放电功率。具体地说该控制策略用于控制储能电站放电功率,在满足电力变压器各工作时段不会出现超容前提下,工作时间内按照储能电站预设放电深度放空储能电站电量,实现储能电站效益最大化。
以上所述仅是本发明的优选实施方式,应当指出:对于本技术领域的普通技术人员来说,在不脱离本发明原理的前提下,还可以做出若干改进和润饰,这些改进和润饰也应视为本发明的保护范围。

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  1. 一种解决变压器超容问题的储能系统EMS放电控制方法,其特征在于,包括以下步骤:
    步骤1,根据当地电网峰平谷信息并结合工厂实际工作时间段划分时段,每个时段分别定义归属峰平谷其中一种时段,并计算实际需要连续降容时长,即各时段总和t t=(t 1e+t 2e+t 3e+......t ie)-(t 1s+t 2s+t 3s+......t is),其中,t t表示各时段总和,t is表示峰期时段或平期时段或谷期时段的起始时刻,t ie表示相应的终止时刻;
    步骤2,变压器降容信息:变压器允许需量为P,实际工况下最大短时间超负荷为120%×P,降容最大功率P M=(120%-1)×P=0.2P,当前实际测量超容功率P c,变压器实测总负载Pz,储能当前状态下放电量Q=Q new×S OH×D OD×S OC×η f,Q new表示电池未使用时最大电量,S OH表示电池健康状态,D OD表示电池放电深度,SOC表示荷电状态,η f表示放电综合效率;储能当前剩余电量下平均提供的降容功率P p,P p=Q/t p,储能当前实际需要设置放电功率P s,再次循环复核剩余电量的间隔时间t Δ,当前所处时刻下仍需放电时长t p
    步骤3,根据当地电网峰平谷信息将步骤1得到划分时段分为峰期时段、平期时段以及工作期时段,其中,工作期时段为整个划分时段的最后一段;
    步骤3.1,在峰期时段内:主逻辑为峰期放电,电价为峰电价格,在评估后期能有裕度前提下,该段充分放电:设定下一个间隔时间t Δ内,放电功率P s值:当0≤P c≤P M,且P M≤P p,P s=P p,此时P s为P p在tΔ内固定值;当0≤P c≤P M,且P M>P p,P s=P c此时P s为P c在t Δ内实时采样值;
    步骤3.2,在平期时段内:主逻辑为平期放电,该段电价低于峰期时段电价,设定下一个间隔时间t Δ内,放电功率P s值:P s=P c,此时P s为P c在t Δ内实时采样值;
    步骤3.3,在工作期时段内:主逻辑为峰期放电,电价为峰电价格,该段充分放电:当0≤P c≤P M,且P M≤P p≤P z,P s=P p,此时P s为P p在t Δ内固定值;当0≤P c≤P M,P z≤P p,P s=P z,此时P s为P z在t Δ内实时采样值;当0≤P c≤P M,且P M>P p,P s=P c,此时P s为P c在t Δ内实时采样值;
    步骤4,从变压器低压侧出线处采集到负载值Pt以及储能电站中各储能变流器PCS 下,电池组荷电状态SOC值并计算出当前可放电量,读取步骤2中的各个参数,根据当前系统所处时间段通过步骤3的方法调节PCS放电功率。
  2. 根据权利要求1所述解决变压器超容问题的储能系统EMS放电控制方法,其特征在于:在所有时段内,根据不同时段要求设置参数值,在满足降容前提下实施削峰填谷策略,判定PCS放电功率。
  3. 根据权利要求2所述解决变压器超容问题的储能系统EMS放电控制方法,其特征在于:在调节能力范围内优先响应降容需量控制策略,在[t 1s,t 1e],[t 2s,t 2e],[t 3s,t 3e]......[t is,t ie]时间段运行负荷跟踪策略、降容需量控制策略、剩余电量计算策略、削峰填谷策略。
  4. 根据权利要求3所述解决变压器超容问题的储能系统EMS放电控制方法,其特征在于:负荷跟踪指:根据当地电网峰平谷和工厂运行时段监控变压器实时负载数据并上传。
  5. 根据权利要求4所述解决变压器超容问题的储能系统EMS放电控制方法,其特征在于:所述的降容需量控制策略指:在峰平谷时段内实施不同的控制策略降低变压器用电容量,防止用电超过变压器容量。
  6. 根据权利要求5所述解决变压器超容问题的储能系统EMS放电控制方法,其特征在于:所述的剩余电量计算策略指:统计当前所处时段信息与后续需要工作时段,收集当前电池SOC剩余值计算出可放电剩余电量,用于当前放电功率的参考评估。
  7. 根据权利要求6所述解决变压器超容问题的储能系统EMS放电控制方法,其特征在于:所述的削峰填谷策略:根据当地电网峰期电价信息,结合当前所处时段,在满足降容策略放电功率前提下,根据剩余可用电量调整不同时段下的放电功率。
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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117698487A (zh) * 2024-02-05 2024-03-15 四川智能建造科技股份有限公司 一种移动充储车电能动态调度方法
CN117977663A (zh) * 2024-04-01 2024-05-03 富能宝能源科技集团有限公司 一种工商储能系统自动充放电的控制方法

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111509745B (zh) * 2020-04-24 2021-04-06 江苏慧智能源工程技术创新研究院有限公司 一种解决变压器超容问题的储能系统ems放电控制方法
CN111740481B (zh) * 2020-08-19 2020-11-24 江苏慧智能源工程技术创新研究院有限公司 一种储能系统ems充电控制方法
CN115664037B (zh) * 2022-12-12 2023-03-10 又一新能源科技(苏州)有限公司 一种储能电站多端汇流变压器保护系统

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109038628A (zh) * 2018-07-20 2018-12-18 桑德智慧能源有限公司 用户侧储能系统的控制方法和用户侧储能系统
CN109301849A (zh) * 2018-09-11 2019-02-01 国网浙江省电力有限公司电力科学研究院 一种用户侧电池储能电站的能量管理组合控制策略
JP2019187103A (ja) * 2018-04-11 2019-10-24 清水建設株式会社 蓄電池制御システム及び蓄電池制御方法
CN110518606A (zh) * 2019-09-18 2019-11-29 合肥阳光新能源科技有限公司 一种储能设备参数配置方法和装置
CN110535154A (zh) * 2019-10-21 2019-12-03 合肥阳光新能源科技有限公司 一种基于soc管理的储能系统及其控制方法
CN110571838A (zh) * 2019-09-05 2019-12-13 南方电网科学研究院有限责任公司 一种储能电池早高峰负荷削减控制方法和装置
CN111509745A (zh) * 2020-04-24 2020-08-07 江苏慧智能源工程技术创新研究院有限公司 一种解决变压器超容问题的储能系统ems放电控制方法

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110601243B (zh) * 2019-10-21 2023-02-10 阳光新能源开发股份有限公司 储能系统及其削峰填谷和需量管理的协同控制方法

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2019187103A (ja) * 2018-04-11 2019-10-24 清水建設株式会社 蓄電池制御システム及び蓄電池制御方法
CN109038628A (zh) * 2018-07-20 2018-12-18 桑德智慧能源有限公司 用户侧储能系统的控制方法和用户侧储能系统
CN109301849A (zh) * 2018-09-11 2019-02-01 国网浙江省电力有限公司电力科学研究院 一种用户侧电池储能电站的能量管理组合控制策略
CN110571838A (zh) * 2019-09-05 2019-12-13 南方电网科学研究院有限责任公司 一种储能电池早高峰负荷削减控制方法和装置
CN110518606A (zh) * 2019-09-18 2019-11-29 合肥阳光新能源科技有限公司 一种储能设备参数配置方法和装置
CN110535154A (zh) * 2019-10-21 2019-12-03 合肥阳光新能源科技有限公司 一种基于soc管理的储能系统及其控制方法
CN111509745A (zh) * 2020-04-24 2020-08-07 江苏慧智能源工程技术创新研究院有限公司 一种解决变压器超容问题的储能系统ems放电控制方法

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117698487A (zh) * 2024-02-05 2024-03-15 四川智能建造科技股份有限公司 一种移动充储车电能动态调度方法
CN117698487B (zh) * 2024-02-05 2024-04-09 四川智能建造科技股份有限公司 一种移动充储车电能动态调度方法
CN117977663A (zh) * 2024-04-01 2024-05-03 富能宝能源科技集团有限公司 一种工商储能系统自动充放电的控制方法

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