含光储系统的增量配电网时段解耦动态拓展无功优化
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摘要
从增量配电网安全运行及经济效益出发,针对高渗透率分布式光伏接入配网引起的相关问题,构建以系统有功损耗、电容器及变压器调节代价、储能调节代价综合最小为目标的时段解耦动态拓展无功优化模型。在传统无功优化的基础上增加储能有功调节能力和光伏无功调控能力,将动态无功优化解耦为多时段静态无功优化,采用灾变遗传算法求得含高渗透率光伏及储能的增量配网无功优化方案。仿真结果表明,提出的时段解耦动态拓展无功优化模型能够提高增量配电网的无功优化效果,在减少电网损耗、降低设备调节成本的同时,兼顾电网电压运行的安全性。
Starting from the safe operation and economic benefit of the incremental distribution network and facing problems caused by high-permeability distributed photovoltaic access distribution networks, this paper puts forward a time decoupled dynamic extended reactive power optimization model, which aims to minimize the cost of power grid loss, capacitor and transformer regulation cost, and energy storage adjustment cost. Based on the traditional reactive power optimization model, the new model increases the power adjustment ability of energy storage and the reactive power adjustment ability of photovoltaic, decoupling dynamic reactive power optimization into multi-period static reactive power optimization. It uses the disaster genetic algorithm to obtain the reactive power optimization in incremental distribution network with photovoltaic-energy storage hybrid system and compare with other optimization method. Results show that proposed time decoupled dynamic extended reactive power optimization method can improve the effect of reactive optimization of incremental distribution network, reduce power grid loss and lower equipment adjusting cost, and consider the safety of power grid voltage operation.
Starting from the safe operation and economic benefit of the incremental distribution network and facing problems caused by high-permeability distributed photovoltaic access distribution networks, this paper puts forward a time decoupled dynamic extended reactive power optimization model, which aims to minimize the cost of power grid loss, capacitor and transformer regulation cost, and energy storage adjustment cost. Based on the traditional reactive power optimization model, the new model increases the power adjustment ability of energy storage and the reactive power adjustment ability of photovoltaic, decoupling dynamic reactive power optimization into multi-period static reactive power optimization. It uses the disaster genetic algorithm to obtain the reactive power optimization in incremental distribution network with photovoltaic-energy storage hybrid system and compare with other optimization method. Results show that proposed time decoupled dynamic extended reactive power optimization method can improve the effect of reactive optimization of incremental distribution network, reduce power grid loss and lower equipment adjusting cost, and consider the safety of power grid voltage operation.
引文
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[15]王骏,丁晓群,孙士云,等.考虑光照概率性的含光伏发电系统的配电网无功优化[J].广东电力,2017,30(1):103-107,137.WANG Jun,DING Xiaoqun,SUN Shiyun,et al.Reactive power optimization for power distribution network with photovoltaic generation system considering illumination probability[J].Guangdong Electric Power,2017,30(1):103-107,137.
[16]代琴,李军,邱森,等.基于极限理论的配电网概率场景无功优化[J].电力电容器与无功补偿,2018,39(5):137-141.DAI Qin,LI Jun,QIU Sen,et al.Probability scene reactive power optimization on distribution network based on limit theory[J].Power Capacitor&Reactive Power Compensation,2018,39(5):137-141.
[17]蔡博,黄少锋.基于多目标粒子群算法的高维多目标无功优化[J].电力系统保护与控制,2017,45(15):77-84.CAI Bo,HUANG Shaofeng.Multi-objective reactive power optimization based on the multi-objective particle swarm optimization algorithm[J].Power System Protection and Control,2017,45(15):77-84.
[18]韩笑,周明,李庚银.计及储能和空调负荷的主动配电网多目标优化调度[J].电力系统保护与控制,2018,46(7):14-23.HAN Xiao,ZHOU Ming,LI Gengyin.Multi-objective optimal dispatching of active distribution networks considering energy storage systems and air-conditioning loads[J].Power System Protection and Control,2018,46(7):14-23.
[19]SINGH M.Protection coordination in distribution systems with and without distributed energy resources-a review[J].Protection and Control of Modern Power Systems,2017,2(2):294-310.DOI:10.1186/s41601-017-0061-1.
[20]陈嘉威,吴杰康,郭清元,等.考虑DG、DS和EV协同运行的配电网无功优化方法[J].电气工程学报,2017,12(8):42-49.CHEN Jiawei,WU Jiekang,GUO Qingyuan,et al.Reactive power optimization method for distribution network considering DG,DS and EV cooperative operation[J].Journal of Electrical Engineering,2017,12(8):42-49.
[21]杨雨瑶,张勇军,林国营,等.含光储联合发电系统的配电网双目标拓展无功优化[J].电力系统保护与控制,2018,46(22):39-46.YANG Yuyao,ZHANG Yongjun,LIN Guoying,et al.Double-objective extended reactive power optimization in distribution network with photovoltaic-energy storage hybrid systems[J].Power System Protection and Control,2018,46(22):39-46.
[22]赵波,薛美东,陈荣柱,等.高可再生能源渗透率下考虑预测误差的微电网经济调度模型[J].电力系统自动化,2014,38(7):1-8.ZHAO Bo,XUE Meidong,CHEN Rongzhu,et al.An economic dispatch model for microgrid with high renewable energy resource penetration considering forecast errors[J].Automation of Electric Power Systems,2014,38(7):1-8.
[23]中国电力企业联合会.光伏发电站接入电力系统技术规定:GB/T 19964-2012[S].北京:中国标准出版社,2012.China Electricity Council.Technical requirements for connecting photovoltaic power station to power system:GB/T 19964-2012[S].Beijing:Standards Press of China,2012.
[2]ALIREZA S,MORTEZA A,MEHDI E.A probabilistic modeling of photo voltaic modules and wind power generation impact on distribution networks[J].IEEESystems Journal,2012,6(2):254-259.
[3]王满商,李正明,汪洋.考虑电动汽车不确定性因素的配电网分布式电源优化布置[J].电力系统保护与控制,2019,47(1):67-72.WANG Manshang,LI Zhengming,WANG Yang.Distribution network distributed power supply configuration considering the uncertainties of electric vehicle[J].Power System Protection and Control,2019,47(1):67-72.
[4]裴哲义,丁杰,李晨,等.分布式光伏并网问题分析与建议[J].中国电力,2018,51(10):80-87.PEI Zheyi,DING Jie,LI Chen,et al.Analysis and suggestion for distributed photovoltaic generation[J].Electric Power,2018,51(10):80-87.
[5]金炜,李宗,葛斐,等.可再生能源高渗透率区域“网-源-储-荷”协调规划案例分析[J].中国电力,2017,50(10):153-158.JIN Wei,LI Zong,GE Fei,et al.Research on“gridgeneration-storage-load”coordinative planning in high renewable energy penetration region-case analysis of Anhui Jinzhai[J].Electric Power,2017,50(10):153-158.
[6]李建林,田立亭,来小康.能源互联网背景下的电力储能技术展望[J].电力系统自动化,2015,39(23):15-25.LI Jianlin,TIAN Liting,LAI Xiaokang.Outlook of electrical energy technologies under energy internet background[J].Automation of Electric Power Systems,2015,39(23):15-25.
[7]ZHOU L,ZHANG Y,LIN X,et al.Optimal sizing of PVand BESS for a smart household considering different price mechanisms[J].IEEE Access,2018,6(1):41050-41059.
[8]周檬,贾亚雷.基于改进粒子群优化算法的先进绝热压缩空气储能系统参数优化[J].热力发电,2018,47(1):94-99.ZHOU Meng,JIA Yalei.Parameter optimization for compressed air energy storage system based on particle swarm optimization[J].Thermal Power Generation,2018,47(1):94-99.
[9]黄碧斌,李琼慧.储能支撑大规模分布式光伏接入的价值评估[J].电力自动化设备,2016,36(6):88-93.HUANG Bibin,LI Qionghui.Value assessment for energy storage in supporting large-scale integration of distributed PVs[J].Electric Power Automation Equipment,2016,36(6):88-93.
[10]蔡昌春,丁晓群,王宽,等.动态无功优化的简化方法及实现[J].电力系统自动化,2008,32(5):43-46.CAI Changchun,DING Xiaoqun,WANG Kuan,et al.Simplified method of dynamic reactive power optimization and its implementation[J].Automation of Electric Power Systems,2008,32(5):43-46.
[11]ZHANG Y,REN Z.Optimal reactive power dispatch considering costs of adjusting the control devices[J].IEEE Transactions on Power Systems,2005,20(3):1349-1356.
[12]ZHANG L,TARLOCHAN S.New dynamic voltage and reactive power control method for distribution networks with dg integration[C]//2014 IEEE Electrical Power and Energy Conference,November 12-14,2014,Calgary,Canada:190-195.
[13]刘公博,颜文涛,张文斌,等.含分布式电源的配电网动态无功优化调度方法[J].电力系统自动化,2015,39(15):49-54.LIU Gongbo,YAN Wentao,ZHANG Wenbin,et al.Optimization and dispatching method of dynamic reactive power in distribution network with distributed generators[J].Automation of Electric Power Systems,2015,39(15):49-54.
[14]ZHANG L,TANG W,LIANG J,et al.Coordinated day-ahead reactive power dispatch in distribution network based on real power forecast errors[J].IEEE Transactions on Power Systems,2016,31(3):2472-2480.
[15]王骏,丁晓群,孙士云,等.考虑光照概率性的含光伏发电系统的配电网无功优化[J].广东电力,2017,30(1):103-107,137.WANG Jun,DING Xiaoqun,SUN Shiyun,et al.Reactive power optimization for power distribution network with photovoltaic generation system considering illumination probability[J].Guangdong Electric Power,2017,30(1):103-107,137.
[16]代琴,李军,邱森,等.基于极限理论的配电网概率场景无功优化[J].电力电容器与无功补偿,2018,39(5):137-141.DAI Qin,LI Jun,QIU Sen,et al.Probability scene reactive power optimization on distribution network based on limit theory[J].Power Capacitor&Reactive Power Compensation,2018,39(5):137-141.
[17]蔡博,黄少锋.基于多目标粒子群算法的高维多目标无功优化[J].电力系统保护与控制,2017,45(15):77-84.CAI Bo,HUANG Shaofeng.Multi-objective reactive power optimization based on the multi-objective particle swarm optimization algorithm[J].Power System Protection and Control,2017,45(15):77-84.
[18]韩笑,周明,李庚银.计及储能和空调负荷的主动配电网多目标优化调度[J].电力系统保护与控制,2018,46(7):14-23.HAN Xiao,ZHOU Ming,LI Gengyin.Multi-objective optimal dispatching of active distribution networks considering energy storage systems and air-conditioning loads[J].Power System Protection and Control,2018,46(7):14-23.
[19]SINGH M.Protection coordination in distribution systems with and without distributed energy resources-a review[J].Protection and Control of Modern Power Systems,2017,2(2):294-310.DOI:10.1186/s41601-017-0061-1.
[20]陈嘉威,吴杰康,郭清元,等.考虑DG、DS和EV协同运行的配电网无功优化方法[J].电气工程学报,2017,12(8):42-49.CHEN Jiawei,WU Jiekang,GUO Qingyuan,et al.Reactive power optimization method for distribution network considering DG,DS and EV cooperative operation[J].Journal of Electrical Engineering,2017,12(8):42-49.
[21]杨雨瑶,张勇军,林国营,等.含光储联合发电系统的配电网双目标拓展无功优化[J].电力系统保护与控制,2018,46(22):39-46.YANG Yuyao,ZHANG Yongjun,LIN Guoying,et al.Double-objective extended reactive power optimization in distribution network with photovoltaic-energy storage hybrid systems[J].Power System Protection and Control,2018,46(22):39-46.
[22]赵波,薛美东,陈荣柱,等.高可再生能源渗透率下考虑预测误差的微电网经济调度模型[J].电力系统自动化,2014,38(7):1-8.ZHAO Bo,XUE Meidong,CHEN Rongzhu,et al.An economic dispatch model for microgrid with high renewable energy resource penetration considering forecast errors[J].Automation of Electric Power Systems,2014,38(7):1-8.
[23]中国电力企业联合会.光伏发电站接入电力系统技术规定:GB/T 19964-2012[S].北京:中国标准出版社,2012.China Electricity Council.Technical requirements for connecting photovoltaic power station to power system:GB/T 19964-2012[S].Beijing:Standards Press of China,2012.