基于随机约束粒子群算法的配电网重构
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摘要
针对同一地区的风速、光照强度和负荷均受各种气象因素的随机性影响,其影响因素具有一定的相关性,因此,为得到准确的配电网重构方案,不能忽略不确定性和相关性导致的误差。论文基于等概率转换和Cholesky分解,提出了同时计及风速、光照强度和负荷相关性的随机潮流方法,并在此基础上,引入机会约束理论,以满足一定置信水平的有功网损悲观值为目标,建立了配电网的机会约束重构模型。以IEEE-33节点配电系统为例进行验证,计算结果表明,配电网的随机潮流和重构结果均受到风速、光照强度和负荷间相关程度强弱的影响。
According to the wind speed,the same area of the light intensity and load are subject to random effects of various meteorological factors and its influencing factors has certain correlation. Therefore,in order to get the solution of distribution net-work reconfiguration accurate,error cannot be neglected leads to uncertainty and correlation. This paper is based on the probabilityconversion and cholesky decomposition,it proposes considering wind speed,light intensity and power flow method,random loadcorrelation,and on this basis,the theory of chance constrained power loss and pessimism is introduced to meet a certain confidencelevel value as the goal,and distribution network reconfiguration model of chance constrained is established. The IEEE-33 node pow-er distribution system is taken as an example to verify the results. The results show that the random power flow and reconfiguration results are influenced by wind speed,light intensity and the degree of correlation between loads.
According to the wind speed,the same area of the light intensity and load are subject to random effects of various meteorological factors and its influencing factors has certain correlation. Therefore,in order to get the solution of distribution net-work reconfiguration accurate,error cannot be neglected leads to uncertainty and correlation. This paper is based on the probabilityconversion and cholesky decomposition,it proposes considering wind speed,light intensity and power flow method,random loadcorrelation,and on this basis,the theory of chance constrained power loss and pessimism is introduced to meet a certain confidencelevel value as the goal,and distribution network reconfiguration model of chance constrained is established. The IEEE-33 node pow-er distribution system is taken as an example to verify the results. The results show that the random power flow and reconfiguration results are influenced by wind speed,light intensity and the degree of correlation between loads.
引文
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[13]任洲洋,颜伟,项波,等.考虑光伏和负荷相关性的概率潮流计算[J].电工技术学报,2015(24):181-187.REN Zhouyang,YAN Wei,XIANG Bo,et al. Probabi-listic power flow considering PV and load correlation[J].Transactions of China Electrotechnical Society,2015(24):181-187.
[14]叱干鹏飞,宁纪锋,石武祯.基于全局搜索的实时分布场目标跟踪方法[J].计算机应用研究,2014(10):3169-3172,3176.CHIGAN Pengfei,NING Jifeng,SHI Wuzhen. Real timedistributed field target tracking method based on globalsearch[J]. Research of Computer application,2014(10):3169-3172,3176.
[15]邹丹,窦勇,郭松.基于GPU的稀疏矩阵Cholesky分解[J].计算机学报,2014(7):1445-1454.ZHOU Dan,DOU Yong,GUO Song. Sparse matrix Cho-lesky decomposition based on GPU[J]. Journal of Com-puter Science,2014(7):1445-1454.
[16]王奇伟,姜飞,马瑞,等.基于状态转移的风电并网下线路潮流分析[J].电网技术,2013(7):1880-1886.WANG Qiwei,JIANG Fei,MA Rui,et al. Power flowanalysis of wind power generation based on state transi-tion[J]. Power grid technology,2013(7):1880-1886.
[17]颜湘武,段聪,吕正,等.基于动态拓扑分析的遗传算法在配电网重构中的应用[J].电网技术,2014(6):1639-1643.YAN Xiangwu,DUAN Cong,LV Zheng,et al. Applica-tion of genetic algorithm based on dynamic topology anal-ysis in distribution network reconfiguration[J]. Technolo-gy of Power Grid,2014(6):1639-1643.
[18]束洪春,董俊,段锐敏,等.基于自然频率的辐射状配电网分层分布式ANN故障定位方法[J].电力系统自动化,2014(5):83-89.SHU Hongchun,DONG Jun,DUAN Ruimin,et al. Hi-erarchical distributed ANN fault location method for radi-al distribution network based on natural frequency[J].Automation of Power system,2014(5):83-89.
[19]曾畅,方强,吴军,等.蒙特卡洛模拟法在复杂系统可靠性仿真中的应用研究[J].四川兵工学报,2015(9):65-68.ZENG Chang,FANG Qiang,WU Jun,et al. Applica-tion of Monte Carlo simulation method in complex systemreliability simulation[J]. Journal of Sichuan ordnance,2015(9):65-68.
[20]朱丽莉,杨志鹏,袁华.粒子群优化算法分析及研究进展[J].计算机工程与应用,2007(5):24-27.ZHU Lili,YANG Zhipeng,YUAN Hua. Analysis and re-search progress of particle swarm optimization[J]. Com-puter engineering and Applications,2007(5):24-27.
[21]廖美英,郭荷清,张勇军.一种整数编码的改进遗传算法[J].计算机工程与应用,2003(1):103-105,120.LIAO Meiying,GUO Heqing,ZHANG Yongjun. An im-proved genetic algorithm for integer coding[J]. Computerengineering and Applications,2003(1):103-105,120.
[22]姚嘉鑫,蒋超.微分进化算法整数编码策略实现研究[J].计算机与数字工程,2014(8):1379-1382.YAN Jiaxin,JIANG Chao. Implementation of integer en-coding strategy for differential evolution algorithm[J].Computer and digital engineering, 2014(8):1379-1382.
[23]谢敏,吉祥,柯少佳,等.基于目标级联分析法的多微网主动配电系统自治优化经济调度[J].中国电机工程学报,2016(12):1-10.XIE Min,JI Xiang,KE Shaojia,et al. Autonomous opti-mization economic dispatch of active power distributionsystem based on target cascade analysis[J]. ChineseJournal of Electrical Engineering,2016(12):1-10.
[24]薛继元,冯文林,赵芬,等.太阳能电池板的输出特性与实际应用研究[J].红外与激光工程,2015(1):176-181.XUE Jiyuan,FENG Wenlin,ZHAO Fen,et al. Researchon output characteristics and practical application of so-lar panel[J]. Infrared and laser engineering,2015(1):176-181.
[2]叶笑莉,赵洁,刘涤尘,等.考虑风电接入的配电网双阶段优化重构策略[J].水电能源科学,2017(5):195-199.YE Xiaoli,ZHAO Jie,LIU Dichen,et al. Two stage opti-mal reconfiguration strategy for distribution network con-sidering wind power[J]. Hydroelectric Energy Science,2017(5):195-199.
[3]王永杰,吴文传,张伯明.考虑负荷量测和光伏不确定性的主动配电网鲁棒电压控制[J].电力系统自动化,2015(9):138-144.WANG Yongjie,WU Wenchuan,ZHANG Boming. Ro-bust voltage control of active distribution network consider-ing load measurement and photovoltaic uncertainty[J].Power system automation,2015(9):138-144.
[4]易于.基于层次分析法/逼近理想解法的配电网规划方案的综合决策[J].电力与能源,2014(6):707-711.YI Yu. Comprehensive decision of distribution networkplanning scheme based on analytic hierarchy process/TOPSIS[J]. Power and Energy,2014(6):707-711.
[5]唐念,夏明超,肖伟栋,等.考虑多种分布式电源及其随机特性的配电网多目标扩展规划[J].电力系统自动化,2015(8):45-52.TANG Nian,XIA Mingchao,XIAO Weidong,et al. Multiobjective extended planning of distribution network consid-ering multiple distributed power sources and their stochas-tic characteristics[J]. Power system automation,2015(8):45-52.
[6]王淳,高元海.基于概率统计的含间歇性分布式发电的配电网无功优化[J].电网技术,2014(4):1032-1037.WANG Chun,GAO Yuanhai. Reactive power optimizationof distribution network with intermittent distributed genera-tion based on probability statistics[J]. Power grid technol-ogy,2014(4):1032-1037.
[7]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(4):22-28.ZHANG Tao,SHI Suyi,XU Xueqin. Distribution networkreconfiguration with distributed generation based on im-proved quantum binary particle swarm optimization[J].Power System Protection and Control,2016(4):22-28.
[8]胡雯,孙云莲,张巍.基于改进的自适应遗传算法的智能配电网重构研究[J].电力系统保护与控制,2013,(23):85-90.HU Wen,SUN Yunlian,ZHANG Wei. Research on intel-ligent distribution network reconfiguration based on im-proved adaptive genetic algorithm[J]. Power system pro-tection and control,2013(23):85-90.
[9]马瑞,张强,吴瑕,等.日风速随机模糊不确定模型[J].中国电机工程学报,2015(24):6351-6358.MA Rui,ZHANG Qiang,WU Xia,et al. Stochastic fuzzyuncertain model for daily wind speed[J]. Chinese Journalof Electrical Engineering,2015(24):6351-6358.
[10]罗继东,黄汉英,王宪磊,等.光伏电源多接入点对配电网电压分布的影响[J].电力电子技术,2017(5):35-38.LUO Jidong,HUANG Hanying,WANG Xianlei,et al.Influence of multi access point of photovoltaic power sup-ply on voltage distribution in distribution network[J].Technology of power electronic,2017(5):35-38.
[11]龚娇龙,余志强.计及光照波动性及元件故障的光伏出力概率模型[J].江西电力,2015(4):78-81.GONG Jiaolong,YU Zhiqiang. Probabilistic model ofphotovoltaic power output considering fluctuation of lightand component fault[J]. Jiangxi Electric Power,2015(4):78-81.
[12]朴在林,张萌,丁文龙.户用型光伏电池板积灰密度对转换效率影响研究[J].中国农机化学报,2015(4):238-241.PIAO Zailin,ZHANG Meng,DING Wenlong. Effect of ash deposition density on conversion efficiency of house-hold photovoltaic panels[J]. Journal of China Agricultur-al Chemical,2015(4):238-241.
[13]任洲洋,颜伟,项波,等.考虑光伏和负荷相关性的概率潮流计算[J].电工技术学报,2015(24):181-187.REN Zhouyang,YAN Wei,XIANG Bo,et al. Probabi-listic power flow considering PV and load correlation[J].Transactions of China Electrotechnical Society,2015(24):181-187.
[14]叱干鹏飞,宁纪锋,石武祯.基于全局搜索的实时分布场目标跟踪方法[J].计算机应用研究,2014(10):3169-3172,3176.CHIGAN Pengfei,NING Jifeng,SHI Wuzhen. Real timedistributed field target tracking method based on globalsearch[J]. Research of Computer application,2014(10):3169-3172,3176.
[15]邹丹,窦勇,郭松.基于GPU的稀疏矩阵Cholesky分解[J].计算机学报,2014(7):1445-1454.ZHOU Dan,DOU Yong,GUO Song. Sparse matrix Cho-lesky decomposition based on GPU[J]. Journal of Com-puter Science,2014(7):1445-1454.
[16]王奇伟,姜飞,马瑞,等.基于状态转移的风电并网下线路潮流分析[J].电网技术,2013(7):1880-1886.WANG Qiwei,JIANG Fei,MA Rui,et al. Power flowanalysis of wind power generation based on state transi-tion[J]. Power grid technology,2013(7):1880-1886.
[17]颜湘武,段聪,吕正,等.基于动态拓扑分析的遗传算法在配电网重构中的应用[J].电网技术,2014(6):1639-1643.YAN Xiangwu,DUAN Cong,LV Zheng,et al. Applica-tion of genetic algorithm based on dynamic topology anal-ysis in distribution network reconfiguration[J]. Technolo-gy of Power Grid,2014(6):1639-1643.
[18]束洪春,董俊,段锐敏,等.基于自然频率的辐射状配电网分层分布式ANN故障定位方法[J].电力系统自动化,2014(5):83-89.SHU Hongchun,DONG Jun,DUAN Ruimin,et al. Hi-erarchical distributed ANN fault location method for radi-al distribution network based on natural frequency[J].Automation of Power system,2014(5):83-89.
[19]曾畅,方强,吴军,等.蒙特卡洛模拟法在复杂系统可靠性仿真中的应用研究[J].四川兵工学报,2015(9):65-68.ZENG Chang,FANG Qiang,WU Jun,et al. Applica-tion of Monte Carlo simulation method in complex systemreliability simulation[J]. Journal of Sichuan ordnance,2015(9):65-68.
[20]朱丽莉,杨志鹏,袁华.粒子群优化算法分析及研究进展[J].计算机工程与应用,2007(5):24-27.ZHU Lili,YANG Zhipeng,YUAN Hua. Analysis and re-search progress of particle swarm optimization[J]. Com-puter engineering and Applications,2007(5):24-27.
[21]廖美英,郭荷清,张勇军.一种整数编码的改进遗传算法[J].计算机工程与应用,2003(1):103-105,120.LIAO Meiying,GUO Heqing,ZHANG Yongjun. An im-proved genetic algorithm for integer coding[J]. Computerengineering and Applications,2003(1):103-105,120.
[22]姚嘉鑫,蒋超.微分进化算法整数编码策略实现研究[J].计算机与数字工程,2014(8):1379-1382.YAN Jiaxin,JIANG Chao. Implementation of integer en-coding strategy for differential evolution algorithm[J].Computer and digital engineering, 2014(8):1379-1382.
[23]谢敏,吉祥,柯少佳,等.基于目标级联分析法的多微网主动配电系统自治优化经济调度[J].中国电机工程学报,2016(12):1-10.XIE Min,JI Xiang,KE Shaojia,et al. Autonomous opti-mization economic dispatch of active power distributionsystem based on target cascade analysis[J]. ChineseJournal of Electrical Engineering,2016(12):1-10.
[24]薛继元,冯文林,赵芬,等.太阳能电池板的输出特性与实际应用研究[J].红外与激光工程,2015(1):176-181.XUE Jiyuan,FENG Wenlin,ZHAO Fen,et al. Researchon output characteristics and practical application of so-lar panel[J]. Infrared and laser engineering,2015(1):176-181.