含微网的配电网多目标优化规划研究
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摘要
随着配电网中微网容量的逐年增加,为了增加配电网可靠性并减少线路损耗及重复建设,亟需在规划阶段对配电网的网架结构及电源设置做出一定优化。选取了适用于规划研究的微网模型,提出了配电网规划中最重要的2个目标函数——可靠性及经济性目标函数,并根据配电网规划优化的要求,选取量子粒子群算法来求解该优化问题。将所提出含微网的配电网优化规划方法应用于某地区实例,结果表明,该优化方法可以显著提高含微网配电网的可靠性及经济性指标。
With ever-increasing of the capacity of microgrids in the distribution network year by year,in order to increase reliability and reduce the line loss and redundant construction in the distribution network,the space truss structure of and power settings of the distribution network and are badly in need of optimization in the planning stage.At first,this paper selects a micro network model which is applicable to the planning study,and then puts forward two of the most important objective functions in the distribution network planning,namely the reliability and economy objective functions.According to the requirement of the distribution network planning optimization,the paper has selected the quantum particle swarm optimization(QPSO)to solve the optimization problem.Finally,the proposed method is applied in an actual engineering example in a certain area.The simulation results show that this optimization method can significantly improve the reliability and economic indicators of the distribution network containing microgrids.
With ever-increasing of the capacity of microgrids in the distribution network year by year,in order to increase reliability and reduce the line loss and redundant construction in the distribution network,the space truss structure of and power settings of the distribution network and are badly in need of optimization in the planning stage.At first,this paper selects a micro network model which is applicable to the planning study,and then puts forward two of the most important objective functions in the distribution network planning,namely the reliability and economy objective functions.According to the requirement of the distribution network planning optimization,the paper has selected the quantum particle swarm optimization(QPSO)to solve the optimization problem.Finally,the proposed method is applied in an actual engineering example in a certain area.The simulation results show that this optimization method can significantly improve the reliability and economic indicators of the distribution network containing microgrids.
引文
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[11]潘超,焦薇羽,孟涛,等.基于混合智能粒子群算法的广义电源主动配电网优化配置[J].电力系统保护与控制,2016,44(7):69-75.PAN Chao,JIAO Weiyu,MENG Tao,et al.Optimal allocation of generalized power sources in active distribution network based on hybrid intelligent particle swarm optimization algorithm[J].Power System Protection and Control,2016,44(7):69-75.
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[16]代希雷,杨洪朝,张鹏兴,等.基于路径优化的电池配送站选址定容规划[J].陕西电力,2016,44(12):18-22.DAI Xilei,YANG Hongchao,ZHANG Pengxing,et al.Locating and sizing planning of battery distribution station based on path optimization[J].Shaanxi Electric Power,2016,44(12):18-22.
[17]苏适,周立栋,陆海,等.基于改进混沌粒子群算法的多源独立微网多目标优化方法[J].电力系统保护与控制,2017,45(23):34-41.SU Shi,ZHOU Lidong,LU Hai,et al.Multi-objective optimization method of multi-source independent microgrid based on modified CPSO[J].Power System Protection and Control,2017,45(23):34-41.
[18]王锡凡.电力系统优化规划[M].北京:水利电力出版社,1990.
[19]程浩忠,张焰.电力网络规划的方法和应用[M].上海:上海科学技术出版社,2002.
[20]郑金华.多目标进化算法及其应用[M].北京:科学出版社,2007:26-45.
[21]吴昊,王艳松.基于智能单粒子算法的微电网经济调度[J].电力系统保护与控制,2016,44(20):43-49.WU Hao,WANG Yansong.Economic dispatch of microgrid using intelligent single particle optimizer algorithm[J].Power System Protection and Control,2016,44(20):43-49.
[22]张野,郭力.基于下垂控制的微网无缝切换控制策略研究[J].广东电力,2016,29(4):22-28.ZHANG Ye,GUO Li.Research on seamless transfer control strategy for micro-grid based on droop control[J].Guangdong Electric Power,2016,29(4):22-28.
[23]王辉.计及孤岛约束的微网经济优化[J].江苏电机工程,2016,35(05):57-62.WANG Hui.Economic optimization for micro-grid considering islanding constraints[J].Jiangsu Electrical Engineering,2016,35(05):57-62.
[24]刘柱,欧清海.面向智能配电网的电力线与无线融合通信研究[J].电力信息与通信技术,2016,14(2):1-6.LIU Zhu,OU Qinghai.Research on power line carrier and wireless integrated communication for smart distribution network[J].Electric Power Information and Communication Technology,2016,14(2):1-6.
[25]方伟明,程汉湘,李勇,等.一种不受波速影响的多端配电网故障定位方法[J].广东电力,2016,29(4):79-83,127.FANG Weiming,CHENG Hanxiang,LI Yong,et al.A kind of fault location method for multi-terminal power distribution network not affected by wave speed[J].Guangdong Electric Power,2016,29(4):79-83,127.
[26]田梁玉,唐忠,焦婷,等.基于多目标评判法的微电网经济性指标研究[J].电力系统保护与控制,2016,44(19):122-127.TIAN Liangyu,TANG Zhong,JIAO Ting,et al.Economic indicators research of microgrid based on multiobjective evaluation method[J].Power System Protection and Control,2016,44(19):122-127.
[27]马钊,尚宇炜,张伟,等.全球能源互联网背景下IPv6技术在智能配电网中的应用研究[J].电力信息与通信技术,2016,14(3):42-48.MA Zhao,SHANG Yuwei,ZHANG Wei,et al.Research on the application of IPv6 technology in the smart distribution grid in the context of global energy interconnection[J].Electric Power Information and Communication Technology,2016,14(3):42-48.
[28]马洲俊,王勇,朱红,等.源网荷不对称的配电网全三相仿真方法[J].江苏电机工程,2016,35(6):50-55.MA Zhoujun,WANG Yong,ZHU Hong,et al.Threephase operation simulation method of intelligent distribution network with source-grid-load asymmetry[J].Jiangsu Electrical Engineering,2016,35(6):50-55.
[29]谢成,金涌涛,胡叶舟,等.基于相关系数分析的配电网单相接地故障研判方法与试验研究[J].浙江电力,2017,36(3):17-23.XIE Cheng,JIN Yongtao,HU Yezhou,et al.Diagnosis and experimental research on single-phase-to-earth fault of distribution networks based on correlation[J].Zhejiang Electric Power,2017,36(3):17-23.
[30]鲍有理,张敏,徐培栋.基于保护配置现状的智能配电网大功率缺额孤岛自愈方案[J].江苏电机工程,2016,35(6):61-64,69.BAO Youli,ZHANG Min,XU Peidong.Island selfhealing method of smart distribution network with large power shortage based on allocation status of protection[J].Jiangsu Electrical Engineering,2016,35(6):61-64,69.
[31]傅晓飞,刘自超,廖天明,等.基于负荷监测系统的配电网区间潮流计算[J].浙江电力,2017,36(4):5-8.FU Xiaofei,LIU Zichao,LIAO Tianming,et al.Interval power flow calculation of distribution network based on load monitoring system[J].Zhejiang Electric Power,2017,36(4):5-8.
[32]楚成彪,郝思鹏,吴善.基于IEC61970/61968的配电网通信系统信息建模[J].电力工程技术,2017,36(1):60-64.CHU Chengbiao,HAO Sipeng,WU Shan.Information modeling of distribution network communication system based on IEC 61970/968[J].Electric Power Engineering Teachnology,2017,36(1):60-64.
[33]张明,周冬旭,嵇文路,等.含源网荷的智能配电网运行仿真平台研究及应用[J].电力工程技术,2017,36(2):66-71.ZHANG Ming,ZHOU Dongxu,JI Wenlu,et al.Research and application of intelligent distribution network operation simulation platform contains the source and network[J].Electric Power Engineering Teachnology,2017,36(2):66-71.
[2]GEORGILAKIS P S,HATZIARGYRIOU N D.Optimal distributed generation placement in power distribution networks:models,methods,and future research[J].IEEE Transactions on Power Systems,2013,28(3):3420-3428.
[3]El-Fergany A.Optimal allocation of multi-type distributed generators using backtracking search optimization algorithm[J].International Journal of Electrical Power&Energy Systems,2015,64(1):1197-1205.
[4]刘博洋,潘宇,许伯阳,等.基于改进灰色神经网络组合模型的光伏电站短期出力预测[J].广东电力,2017,30(4):55-60.LIU Boyang,PAN Yu,XU Boyang,et al.Short-term output forecasting for photovoltaic power station based on improved grey neural network combined model[J].Guangdong Electric Power,2017,30(4):55-60.
[5]KALKHAMBKAR V,KUMAR R,BHAKAR R.Joint optimal allocation methodology for renewable distributed generation and energy storage for economic benefits[J].IETRenewable Power Generation,2016,10(9):1422-1429.
[6]WU H,ZHUANG H,ZHANG W,et al.Optimal allocation of microgrid considering economic dispatch based on hybrid weighted bilevel planning method and algorithm improvement[J].International Journal of Electrical Power&Energy Systems,2016,75(1):28-37.
[7]VATANI M,ALKARAN D S,SANJARI M J,et al.Multiple distributed generation units allocation in distribution network for loss reduction based on a combination of analytical and genetic algorithm methods[J].IET Generation,Transmission&Distribution,2016,10(1):66-72.
[8]侯磊,赵鸣.基于相似度粒子群算法的微电网孤网优化运行分析[J].陕西电力,2017,45(6):24-29.HOU Lei,ZHAO Ming.Optimal operation analysis of isolated microgrid based on similarity particle swarm optimization algorithm[J].Shanxi Electric Power,2017,45(6):24-29.
[9]张涛,史苏怡,徐雪琴.基于二进制量子粒子群算法的含分布式电源配电网重构[J].电力系统保护与控制,2016,44(4):22-28.ZHANG Tao,SHI Suyi,XU Xueqin.Distribution network reconfiguration with distributed generation based on improved quantum binary particle swarm optimization[J].Power System Protection and Control,2016,44(4):22-28.
[10]赵娜,朱永强.多目标全面学习粒子群算法在分布式电源选址定容中的应用与改进[J].陕西电力,2017,45(6):1-6.ZHAO Na,ZHU Yongqiang.Application and improvement of multi-objective particle swarm optimization in locating and sizing of distributed generation[J].Shaanxi Electric Power,2017,45(6):1-6.
[11]潘超,焦薇羽,孟涛,等.基于混合智能粒子群算法的广义电源主动配电网优化配置[J].电力系统保护与控制,2016,44(7):69-75.PAN Chao,JIAO Weiyu,MENG Tao,et al.Optimal allocation of generalized power sources in active distribution network based on hybrid intelligent particle swarm optimization algorithm[J].Power System Protection and Control,2016,44(7):69-75.
[12]马溪原.含风电电力系统的场景分析方法及其在随机优化中的应用[D].武汉:武汉大学,2014.
[13]刘柏良,黄学良.含分布式电源及电动汽车充电站的配电网多目标规划研究[J].电网技术,2015(2):450-456.LIU Boliang,HUANG Xueliang.Multi-objective planning of distribution network containing distributed generation and electric vehicle charging stations[J].Power System Technology,2015(2):450-456.
[14]欧阳武.含分布式发电的配电网规划研究[D].上海:上海交通大学,2009.
[15]王兆宇,艾芊.智能配电网中微电网的多目标优化配置[J].电网技术,2012(8):199-203.WANG Zhaoyu,AI Qian.Multi-objective allocation of microgrid in smart distribution network[J].Power System Technology,2012(8):199-203.
[16]代希雷,杨洪朝,张鹏兴,等.基于路径优化的电池配送站选址定容规划[J].陕西电力,2016,44(12):18-22.DAI Xilei,YANG Hongchao,ZHANG Pengxing,et al.Locating and sizing planning of battery distribution station based on path optimization[J].Shaanxi Electric Power,2016,44(12):18-22.
[17]苏适,周立栋,陆海,等.基于改进混沌粒子群算法的多源独立微网多目标优化方法[J].电力系统保护与控制,2017,45(23):34-41.SU Shi,ZHOU Lidong,LU Hai,et al.Multi-objective optimization method of multi-source independent microgrid based on modified CPSO[J].Power System Protection and Control,2017,45(23):34-41.
[18]王锡凡.电力系统优化规划[M].北京:水利电力出版社,1990.
[19]程浩忠,张焰.电力网络规划的方法和应用[M].上海:上海科学技术出版社,2002.
[20]郑金华.多目标进化算法及其应用[M].北京:科学出版社,2007:26-45.
[21]吴昊,王艳松.基于智能单粒子算法的微电网经济调度[J].电力系统保护与控制,2016,44(20):43-49.WU Hao,WANG Yansong.Economic dispatch of microgrid using intelligent single particle optimizer algorithm[J].Power System Protection and Control,2016,44(20):43-49.
[22]张野,郭力.基于下垂控制的微网无缝切换控制策略研究[J].广东电力,2016,29(4):22-28.ZHANG Ye,GUO Li.Research on seamless transfer control strategy for micro-grid based on droop control[J].Guangdong Electric Power,2016,29(4):22-28.
[23]王辉.计及孤岛约束的微网经济优化[J].江苏电机工程,2016,35(05):57-62.WANG Hui.Economic optimization for micro-grid considering islanding constraints[J].Jiangsu Electrical Engineering,2016,35(05):57-62.
[24]刘柱,欧清海.面向智能配电网的电力线与无线融合通信研究[J].电力信息与通信技术,2016,14(2):1-6.LIU Zhu,OU Qinghai.Research on power line carrier and wireless integrated communication for smart distribution network[J].Electric Power Information and Communication Technology,2016,14(2):1-6.
[25]方伟明,程汉湘,李勇,等.一种不受波速影响的多端配电网故障定位方法[J].广东电力,2016,29(4):79-83,127.FANG Weiming,CHENG Hanxiang,LI Yong,et al.A kind of fault location method for multi-terminal power distribution network not affected by wave speed[J].Guangdong Electric Power,2016,29(4):79-83,127.
[26]田梁玉,唐忠,焦婷,等.基于多目标评判法的微电网经济性指标研究[J].电力系统保护与控制,2016,44(19):122-127.TIAN Liangyu,TANG Zhong,JIAO Ting,et al.Economic indicators research of microgrid based on multiobjective evaluation method[J].Power System Protection and Control,2016,44(19):122-127.
[27]马钊,尚宇炜,张伟,等.全球能源互联网背景下IPv6技术在智能配电网中的应用研究[J].电力信息与通信技术,2016,14(3):42-48.MA Zhao,SHANG Yuwei,ZHANG Wei,et al.Research on the application of IPv6 technology in the smart distribution grid in the context of global energy interconnection[J].Electric Power Information and Communication Technology,2016,14(3):42-48.
[28]马洲俊,王勇,朱红,等.源网荷不对称的配电网全三相仿真方法[J].江苏电机工程,2016,35(6):50-55.MA Zhoujun,WANG Yong,ZHU Hong,et al.Threephase operation simulation method of intelligent distribution network with source-grid-load asymmetry[J].Jiangsu Electrical Engineering,2016,35(6):50-55.
[29]谢成,金涌涛,胡叶舟,等.基于相关系数分析的配电网单相接地故障研判方法与试验研究[J].浙江电力,2017,36(3):17-23.XIE Cheng,JIN Yongtao,HU Yezhou,et al.Diagnosis and experimental research on single-phase-to-earth fault of distribution networks based on correlation[J].Zhejiang Electric Power,2017,36(3):17-23.
[30]鲍有理,张敏,徐培栋.基于保护配置现状的智能配电网大功率缺额孤岛自愈方案[J].江苏电机工程,2016,35(6):61-64,69.BAO Youli,ZHANG Min,XU Peidong.Island selfhealing method of smart distribution network with large power shortage based on allocation status of protection[J].Jiangsu Electrical Engineering,2016,35(6):61-64,69.
[31]傅晓飞,刘自超,廖天明,等.基于负荷监测系统的配电网区间潮流计算[J].浙江电力,2017,36(4):5-8.FU Xiaofei,LIU Zichao,LIAO Tianming,et al.Interval power flow calculation of distribution network based on load monitoring system[J].Zhejiang Electric Power,2017,36(4):5-8.
[32]楚成彪,郝思鹏,吴善.基于IEC61970/61968的配电网通信系统信息建模[J].电力工程技术,2017,36(1):60-64.CHU Chengbiao,HAO Sipeng,WU Shan.Information modeling of distribution network communication system based on IEC 61970/968[J].Electric Power Engineering Teachnology,2017,36(1):60-64.
[33]张明,周冬旭,嵇文路,等.含源网荷的智能配电网运行仿真平台研究及应用[J].电力工程技术,2017,36(2):66-71.ZHANG Ming,ZHOU Dongxu,JI Wenlu,et al.Research and application of intelligent distribution network operation simulation platform contains the source and network[J].Electric Power Engineering Teachnology,2017,36(2):66-71.