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基于全概率公式的含风电配电系统概率潮流计算

DOI: 10.13334/j.0258-8013.pcsee.2015.02.009, PP. 327-334

Keywords: 分布式风电,配电系统,概率潮流计算,全概率,Gauss函数

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Abstract:

针对风电出力不满足正态分布的特点,对风电出力分段离散化,并将多个风电场的离散化结果进行组合得到系统风电出力状态的所有组合,将问题转换为求解风电注入功率确定的多个条件概率分布问题。利用全概率公式整合多个条件事件的原点矩以计算系统状态变量的期望和方差。基于所有条件概率分布满足正态分布的特点,将所得的多个Gauss函数按全概率公式累加的方法得到同时考虑风电随机性和负荷随机性的概率密度函数,摒弃了传统的Gram-Charlier级数拟合概率密度函数的方法。以IEEE33节点配电网络接入多个风电场为例对所提方法进行验证,并与多个抽样规模的蒙特卡罗模拟法进行对比,结果证明所提方法具有与千万次抽样的蒙特卡罗模拟法等同的精度。

References

[1]  董雷,程卫东,杨以涵.含风电场的电力系统概率潮流计算[J].电网技术,2009,33(16):87-91.Dong Lei,Cheng Weidong,Yang Yihan.Probabilistic load flow calculation for power grid containing wind farms [J].Power System Technology,2009,33(16):87-91(in Chinese).
[2]  胡泽春,王锡凡.基于半不变量法的随机潮流误差分析[J].电网技术,2009,33(18):32-37.Hu Zechun,Wang Xifan.Error analysis of the probabilistic load flow based on cumulant method [J].Power System Technology,2009,33(18):32-37(in Chinese).
[3]  余昆,曹一家,陈星莺,等.含分布式电源的地区电网动态概率潮流计算[J].中国电机工程学报,2011,31(1):20-25.Yu Kun,Cao Yijia,Chen Xingying,et al.Dynamic probability power flow of district grid containing distributed generation[J].Proceedings of the CSEE,2011,31(1):20-25(in Chinese).
[4]  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).
[5]  朱星阳,刘文霞,张建华.考虑大规模风电并网的电力系统随机潮流[J].中国电机工程学报,2013,33(7):77-85.Zhu Xingyang,Liu Wenxia,Zhang Jianhua.Probabilistic load flow method considering large-scale wind power integration[J].Proceedings of the CSEE,2013,33(7):77-85(in Chinese).
[6]  Mohammadi M,Shayegani A,Adaminejad H.A new approach of point estimate method for probabilistic load flow[J].International Journal of Electrical Power & Energy Systems,2013,51:54-60.
[7]  艾小猛,文劲宇,吴桐,等.基于点估计和Gram-Charlier展开的含风电电力系统概率潮流实用算法[J].中国电机工程学报,2013,33(16):16-22.Ai Xiaomeng,Wen Jinyu,Wu Tong.A Practical algorithm based on point estimate method and Gram-Charilier expansion for probabilistic load flow calculation of power systems incorporation wind power[J].Proceedings of the CSEE,2013,33(16):16-22(in Chinese).
[8]  Williams T,Crawford C.Probabilistic load flow modeling comparing maximum entropy and Gram-Charlier probability density function reconstructions[J].IEEE Transactions on Power Systems,2013,28(1):272-280.
[9]  Villanueva D,Pazos J L,Feijoo A.Probabilistic load flow including wind power generation[J].IEEE Transactions on Power Systems,2011,26(3):1659-1667.
[10]  Fan M,Vittal V,Heydt G T,et al.Probabilistic power flow analysis with generation dispatch including photovoltaic resources[J].IEEE Transactions on Power Systems,2013,28(2):1797 - 1805.
[11]  Ahmed M H,Bhattacharya K,Salama M M A.Probabilistic distribution load flow with different wind turbine models[J].IEEE Transactions on Power Systems,2013,28(2):1540-1549.
[12]  Cramer H.Mathematical methods of statistics[S].New Jersey:Princeton University Press,1999:222-232.
[13]  Blinnikov S,Moessner R.Expansions for nearly Gaussian distributions[J].Astronomy and Astrophysics Supplement Series,1998,130:193-205.
[14]  王锡凡.电力系统优化规划[M].北京:水利电力出版社,1990:138-150,317-325.Wang Xifan.Optimal power system planning [M].Beijing:Water Power Press,1990:138-150,317-325(in Chinese).
[15]  Goswami S K,Basu S K.A new algorithm for the reconfiguration of distribution feeders for loss minimization[J].IEEE Transactions on Power Delivery 1992,7(3):1484-1491.
[16]  Borkowska B,Probabilistic load flow[J].IEEE Transactions on Power Apparatus and Systems,1974,93(3):752-759.
[17]  Conti S,Raiti S.Probabilistic load flow using Monte Carlo techniques for distribution networks with photovoltaic generators[J].Solar Energy,2007,81(12):1473-1481.
[18]  李俊芳,张步涵.基于进化算法改进拉丁超立方采样的概率潮流计算[J].中国电机工程学报,2011,31(25):90-96.Li Junfang,Zhang Buhan.Probabilistic load flow based on improved Latin hypercube sampling with evolutionary algorithm[J].Proceedings of the CSEE,2011,31(25):90-96(in Chinese).
[19]  丁明,王京景,李生虎.基于扩展拉丁超立方采样的电力系统概率潮流计算[J].中国电机工程学报,2013,33(4):163-170.Ding Ming,Wang Jingjing,Li Shenghu.Probabilistic load flow evaluation with extended Latin hypercube sampling [J].Proceedings of the CSEE,2013,33(4):163-170(in Chinese).
[20]  蔡德福,石东源,陈金富.基于多项式正态变换和拉丁超立方采样的概率潮流计算方法[J].中国电机工程学报,2013,33(13):92-100.Caid Defu,Shi Dongyuan,Chen Jinfu.Probabilistic load flow calculation method based on polynomial normal transformation and Latin hypercube sampling [J].Proceedings of the CSEE,2013,33(13):92-100(in Chinese).
[21]  Chen Y,Wen J,Cheng S.Probabilistic load flow method based on Nataf transformation and Latin hypercube sampling[J].IEEE Transactions on Sustainable Energy,2013,4(2):294-301.
[22]  王锡凡,王秀丽.电力系统的随机潮流分析[J].西安交通大学学报,1988,22(2):2539-2546.Wang Xifan,Wang Xiuli.Probabilistic load flow analysis in power systems[J].Journal of Xi’an Jiaotong University,1988,22(2):2539-2546(in Chinese).
[23]  Zhang P,Lee S T.Probabilistic load flow computation using the method of combined cumulants and Gram- Charlier expansion[J].IEEE Transactions on Power Systems,2004,19(1):676-682.

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