汪文达;崔雪;马兴;汪颖翔;刘会金;

• 1:武汉大学电气工程学院

摘要(Abstract)：

针对多个风电机组接入配电网带来的不确定性问题,采用基于拉丁超立方采样的Monte Carlo概率潮流计算方法(correlation Latin hypercube sampling Monte Carlo simulation,CLMCS)以及场景缩减技术得到风机组输出功率的典型场景,将不确定性问题转化为单场景确定性潮流问题。并建立以有功网损最小、电压偏差最小作为目标函数的配电网无功优化数学模型。采用e正交多目标差分进化算法(e-orthogonal differential evolution multi-objective algorithm,e-ODEMO)进行计算得到非劣解集,该算法基于一般差分演化算法,结合正交实验方法使初始个体均匀分布在决策变量空间,利用e占优技术对Archive群体进行更新,能得到均匀分布的非劣解集。应用IEEE 33节点以及PG&E 69节点配电网系统进行了测试,结果验证了所提方法和模型的可行性与有效性。

关键词(KeyWords)： 风电机组;场景缩减;e占优技术;无功优化;e正交多目标差分进化算法

Abstract:

Keywords:

基金项目(Foundation):

作者(Author): 汪文达;崔雪;马兴;汪颖翔;刘会金;

Email:

DOI:

参考文献(References)：

• [1]Su C L.Stochastic evaluation of voltages in distribution networks with distributed generation using detailed distribution operation models[J].IEEE Trans on Power Systems,2010,25(2):786-795.
• [2]曾学强,刘志刚,符伟杰,等.改进差分进化算法在电力系统无功优化中的应用[J].电网技术,2012,33(18):32-37.Zeng Xueqiang,Liu Zhigang,Fu Weijie,et al.Application of improved differential evolution algorithm in reactive power optimization[J].Power System Technology,2012,33(18):32-37(in Chinese).
• [3]陈海焱,陈金富,段献忠.含风电机组的配网无功优化[J].中国电机工程学报,2008,28(7):40-45.Chen Haiyan,Chen Jinfu,Duan Xianzhong.Reactive power optimization in distribution system with wind power generators[J].Proceeding of the CSEE,2008,28(7):40-45(in Chinese).
• [4]何禹清,彭建春,毛丽林,等.含多个风电机组的配电网无功优化[J].电力系统自动化,2010,34(19):37-41.He Yuqing,Peng Jianchun,Mao Lilin,et al.Reactive power optimization in distribution system with multiple wind power generators[J].Automation of Electric Power Systems,2010,34(19):37-41(in Chinese)..
• [5]张丽,徐玉琴,王增平,等.包含分布式电源的配电网无功优化[J].电工技术学报,2011,26(3):168-174.Zhang Li,Xu Yuqin,Wang Zengping,et al.Reactive power optimization for distribution system with distributed generators[J].Transactions of China Electro Technical Society,2011,26(3):168-174(in Chinese).
• [6]赵晶晶,符杨,李东东.考虑双馈电机风电场无功调节能力的配电网无功优化[J].电力系统自动化,2011,35(11):33-38.Zhao Jingjing,Fu Yang,Li Dongdong.Reactive power optimization in distribution network considering reactive power regulation capability of DFIG wind farm[J].Automation of Electric Power Systems,2011,35(11):33-38(in Chinese).
• [7]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,2014,38(4):1032-1037.Wang Chun,Gao Yuanhai.Probability statistics based reactive power optimization of distribution network containing intermittent distributed generations[J].Power System Technology,2014,38(4):1032-1037(in Chinese).
• [8]陈雁,文劲宇,程时杰.考虑输入变量相关性的概率潮流计算方法[J].中国电机工程学报,2011,31(22):80-87.Chen Yan,Wen Jinyu,Cheng Shijie.Probabilistic load flow analysis considering dependencies among input random variables[J].Proceedings of the CSEE,2011,31(22):80-87(in Chinese).
• [9]龚文引,蔡之华.基于e占优的正交多目标差分演化算法研究[J].计算机研究与发展,2009,46(4):655-666.Gong Wenyin,Cai Zhihua.Research on an e-domination based orthogonal differential evolution algorithm for multi-objective optimization[J].Journal of Computer Research and Development,2009,46(4):655-666(in Chinese).
• [10]Razali N M M,Hashim A H.Backward reduction application for minimizing wind power scenarios in stochastic programming[C]//Power Engineering and Optimization Conference.Shal Alam,Malaysia:PEOCO,2010:430-434.
• [11]赵树本,张伏生,钟继友,等.自适应差分进化算法在电力系统无功优化中的应用[J].电网技术,2010,34(6):169-174.Zhao Shuben,Zhang Fusheng,Zhong Jiyou,et al.An adaptive differential evolution algorithm and its application in reactive power optimization of power system[J].Power System Technology,2010,34(6):169-174(in Chinese)
• [12]颜宏文,李欣然.基于差分进化的含分布式电源母线净负荷预测[J].电网技术,2013,37(6):1602-1606.Yan Hongwen,Li Xinran.Uncertainty analysis on net load forecasting for busbar containing distributed energy sources based on differential evolution and rough sets reduction[J].Power System Technology,2013,37(6):1602-1606(in Chinese).
• [13]邱威,张建华,刘念.自适应多目标差分进化算法在计及电压稳定性的无功优化中的应用[J].电网技术,2011,35(8):81-87.Qiu Wei,Zhang Jianhua,Liu Nian.A self-adaptive multi-objective differential evolution algorithm for reactive power optimization considering voltage stability[J].Power System Technology,2011,35(8):81-87(in Chinese).
• [14]罗毅,李昱龙.基于熵权法和灰色关联分析法的输电网规划方案综合决策[J].电网技术,2013,37(1):77-81.Luo Yi,Li Yulong.Comprehensive decision-making of transmission network planning based on entropy weight and grey relational analysis[J].Power System Technology,2013,37(1):77-81(in Chinese).
• [15]江知瀚,陈金富.计及不确定性和多投资主体需求指标的分布式电源优化配置方法研究[J].中国电机工程学报,2013,33(31):34-42.Jiang Zhihan,Chen Jinfu.Optimal distributed generator allocation method considering uncertainties and requirements of different investment entities[J].Proceedings of the CSEE,2013,33(31):34-42(in Chinese).
• [16]Aman M M,Jasmon G B,Bakar A H A,et al.A new approach for optimum simultaneous multi-DG distributed generation Units placement and sizing based on maximization of system load ability using HPSO(hybrid particle swarm optimization)algorithm[J].Energy,2014(66):202-215.