考虑优化充放电策略的分布式储能容量配置方法
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摘要
近年来,光伏发电发展迅速,特别是分布式光伏在配电网中的渗透率不断提高,对配电网的经济运行产生了重要影响。在配电网中配置储能系统并进行优化控制,能够有效地改善配电网的运行效率。针对含高渗透率分布式光伏的配电网,考虑不同类型负荷的特性,计及储能系统运行的经济性,对其充放电策略进行优化。在此基础上,以含分布式光伏和储能系统配电网的网损最小为目标,对储能系统的容量进行最优配置。在IEEE 33节点系统中进行仿真验证,结果表明采用提出的考虑优化充放电策略的储能系统容量配置方法,不仅能够提高储能系统的经济收益,还可以降低配电网网损,提高了配电网运行的经济性。
In recent years,the rapid development of photovoltaic power generation,especially the increasing penetration of distributed photovoltaic generator in distribution network,has an important impact on the economic operation of distribution network.The allocation of energy storage and optimal control in distribution network can effectively improve the operation efficiency of distribution network.In this paper,the charging and discharging strategies of distributed photovoltaic power grid with high permeability are optimized according to the characteristics of different types of loads,considering the economy of energy storage operation.On this basis,the capacity of energy storage system is optimized with the objective of minimizing the loss of distribution network with distributed photovoltaic and energy storage.The simulation results in the IEEE 33-bus system show that the energy storage capacity allocation method considering optimized charging and discharging strategy proposed in this paper can not only improve the economic benefits of the energy storage system,but also reduce the loss of the distribution network and improve the economy of the distribution network.
In recent years,the rapid development of photovoltaic power generation,especially the increasing penetration of distributed photovoltaic generator in distribution network,has an important impact on the economic operation of distribution network.The allocation of energy storage and optimal control in distribution network can effectively improve the operation efficiency of distribution network.In this paper,the charging and discharging strategies of distributed photovoltaic power grid with high permeability are optimized according to the characteristics of different types of loads,considering the economy of energy storage operation.On this basis,the capacity of energy storage system is optimized with the objective of minimizing the loss of distribution network with distributed photovoltaic and energy storage.The simulation results in the IEEE 33-bus system show that the energy storage capacity allocation method considering optimized charging and discharging strategy proposed in this paper can not only improve the economic benefits of the energy storage system,but also reduce the loss of the distribution network and improve the economy of the distribution network.
引文
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[20]吕晨旭.基于储能成本收益评估的小型光储系统实时经济运行方法[J].电力系统保护与控制,2017,45(17):144-151.LüChenxu.Real time economic scheduling method for photovoltaic/battery system based on the evaluation of energy storage charging cost and discharge yield[J].Power System Protection and Control,2017,45(17):144-151.
[21]唐程辉,张凡,梁才,等.考虑电池损耗和分布式可再生能源的储能调度[J].智慧电力,2018,46(12):1-6.TANG Chenghui,ZHANG Fan,LIANG Cai,et al.Stochastic battery energy storage scheduling considering cell degradation and distributed renewable energy[J].Smart Power,2018,46(12):1-6.
[22]王小平,曹立明.遗传算法:理论、应用与软件实现[M].西安:西安交通大学出版社,2002:16-26.
[2]任泳橙.分布式光伏并网对配电网潮流和网损的影响及对策[J].供用电,2017,34(2):64-68.REN Yongcheng.The impact and countermeasure of gridconnection of distributed PV on power flow and network loss of distribution networks[J].Distribution&Utilization,2017,34(2):64-68.
[3]金楚,黎嘉明,徐沈智,等.大规模光伏发电并网概率潮流计算及对电网的影响[J].电力工程技术,2017,36(1):1-8.JIN Chu,LI Jiaming,XU Shenzhi,et al.Probabilistic load flow calculation and influence analysis for power grid connected with large scale photovoltaic generation system[J].Electric Power Engineering Technology,2017,36(1):1-8.
[4]黄巍,吴俊勇,鲁思棋,等.电压偏差和谐波约束下配网光伏最大渗透率评估[J].电力系统保护与控制,2016,44(6):49-55.HUANG Wei,WU Junyong,LU Siqi,et al.Maximum photovoltaic penetration considering voltage deviation and harmonic constraints[J].Power System Protection and Control,2016,44(6):49-55.
[5]赵波,肖传亮,徐琛,等.基于渗透率的区域配电网分布式光伏并网消纳能力分析[J].电力系统自动化,2017,41(21):105-111.ZHAO Bo,XIAO Chuanliang,XU Chen,et al.Penetration based accommodation capacity analysis on distributed photovoltaic connection in regional distribution network[J].Automation of Electric Power Systems,2017,41(21):105-111.
[6]尤毅,刘东,钟清,等.主动配电网储能系统的多目标优化配置[J].电力系统自动化,2014,38(18):46-52.YOU Yi,LIU Dong,ZHONG Qing,et al.Multi-objective optimal placement of energy storage systems in an active distribution network[J].Automation of Electric Power Systems,2014,38(18):46-52.
[7]BABACAN O,TORRE W,KLEISSL J.Optimal allocation of battery energy storage systems in distribution networks considering high PV penetration[C]//IEEE Power and Energy Society General Meeting(PESGM),July 17-21,2016,Boston,MA,USA.
[8]赵波,韦立坤,徐志成,等.计及储能系统的馈线光伏消纳能力随机场景分析[J].电力系统自动化,2015,39(9):34-40.ZHAO Bo,WEI Likun,XU Zhicheng,et al.Photovoltaic accommodation capacity determination of actual feeder based on stochastic scenarios analysis with storage system considered[J].Automation of Electric Power Systems,2015,39(9):34-40.
[9]梁琛,王鹏,韩肖清,等.计及系统动态可靠性评估的光伏电站储能经济配置[J].电网技术,2017,41(8):2639-2646.LIANG Chen,WANG Peng,HAN Xiaoqing,et al.Economic selection of energy storage system for PV station considering dynamic reliability evaluation[J].Power System Technology,2017,41(8):2639-2646.
[10]赵琦,管霖,吕耀棠,等.储能电站在含光伏电源配电网中的优化配置[J].广东电力,2018,31(7):1-7.ZHAO Qi,GUAN Lin,LüYaotang,et al.Optimized configuration of energy storage power station in distribution network with photovoltaic power[J].Guangdong Electric Power,2018,31(7):1-7.
[11]彭政,崔雪,王恒,等.考虑储能和需求侧响应的微网光伏消纳能力研究[J].电力系统保护与控制,2017,45(22):63-69.PENG Zheng,CUI Xue,WANG Heng,et al.Research on the accommodation of photovoltaic power considering storage system and demand response in microgrid[J].Power System Protection and Control,2017,45(22):63-69.
[12]周楠,樊玮,刘念,等.基于需求响应的光伏微网储能系统多目标容量优化配置[J].电网技术,2016,40(6):1709-1716.ZHOU Nan,FAN Wei,LIU Nian,et al.Battery storage multi-objective optimization for capacity configuration of PV-based microgrid considering demand response[J].Power System Technology,2016,40(6):1709-1716.
[13]李文启,李朝晖,杨海晶,等.需求响应下分布式储能协调运行策略研究[J].电力需求侧管理,2018,20(3):11-14.LI Wenqi,LI Zhaohui,YANG Haijing,et al.Research on coordinated strategy of distributed battery energy storage in demand response[J].Power Demand Side Management,2018,20(3):11-14.
[14]刘洪,范博宇,唐翀,等.基于博弈论的主动配电网扩展规划与光储选址定容交替优化[J].电力系统自动化,2017,41(23):38-45,116.LIU Hong,FAN Boyu,TANG Chong,et al.Game theory based alternate optimization between expansion planning of active distribution system and siting and sizing of photovoltaic and energy storage[J].Automation of Electric Power Systems,2017,41(23):38-45,116.
[15]程庭莉,陈民铀,罗欢.含可再生能源发电的配网储能多目标优化配置方法[J].电网技术,2017,41(9):2808-2815.CHENG Tingli,CHEN Minyou,LUO Huan.Multiobjective allocation of energy storage in distribution network penetrated with renewable energy generation[J].Power System Technology,2017,41(9):2808-2815.
[16]杨玉青,牛利勇,田立亭,等.考虑负荷优化控制的区域配电网储能配置[J].电网技术,2015,39(4):1019-1025.YANG Yuqing,NIU Liyong,TIAN Liting,et al.Configuration of energy storage devices in regional distribution network considering optimal load control[J].Power System Technology,2015,39(4):1019-1025.
[17]ZERAATI M,HAMEDANI G M E,GUERRERO J M.Distributed control of battery energy storage systems for voltage regulation in distribution networks with high PVpenetration[J].IEEE Transactions on Smart Grid,2018,9(4):3582-3593.
[18]崔杨,刘文,唐耀华,等.改善光伏高渗透率配电网电压水平的储能电池最优容量配置方法[J].太阳能学报,2017,38(5):1157-1165.CUI Yang,LIU Wen,TANG Yaohua,et al.Anoptimal allocated method for energy storage batteries improving voltage level of distributed network with high penetration of distributed PV[J].Acta Energiae Solaris Sinica,2017,38(5):1157-1165.
[19]翟世涛,刘泽槐,杨家豪,等.考虑多时段并网点电压控制的光储容量匹配及优化运行[J].电网技术,2017,41(6):1855-1865.ZHAI Shitao,LIU Zehuai,YANG Jiahao,et al.Capacity matching and optimal operation of photovoltaic-storage systems based on multi-period PCC voltage control[J].Power System Technology,2017,41(6):1855-1865.
[20]吕晨旭.基于储能成本收益评估的小型光储系统实时经济运行方法[J].电力系统保护与控制,2017,45(17):144-151.LüChenxu.Real time economic scheduling method for photovoltaic/battery system based on the evaluation of energy storage charging cost and discharge yield[J].Power System Protection and Control,2017,45(17):144-151.
[21]唐程辉,张凡,梁才,等.考虑电池损耗和分布式可再生能源的储能调度[J].智慧电力,2018,46(12):1-6.TANG Chenghui,ZHANG Fan,LIANG Cai,et al.Stochastic battery energy storage scheduling considering cell degradation and distributed renewable energy[J].Smart Power,2018,46(12):1-6.
[22]王小平,曹立明.遗传算法:理论、应用与软件实现[M].西安:西安交通大学出版社,2002:16-26.