刘科研;盛万兴;李运华;

• 1:北京航空航天大学自动化科学与电气工程学院
• 2:中国电力科学研究院
• 3:北京航空航天大学自动化科学与电气工程学院 北京市海淀区100083
• 4:北京市海淀区100085

摘要(Abstract)：

针对目前电力系统无功优化算法所存在的问题,提出了一种将遗传算法与模拟退火算法及牛顿下山法相结合的混合求解算法。首先根据个体适应度值进行自适应交叉和变异操作并采用模拟退火进行个体更新,以便增加群的多样性,避免陷入局部最优;然后采用牛顿下山法加快模拟退火部分的求解过程,并采用十进制整数编码和保存最优个体法来提高计算速度和精度。以IEEE30-bus系统和一某实际电力系统为例对所提出算法的性能和求解精度进行了测试,结果表明改进的混合遗传算法比传统的遗传算法在计算速度和全局收敛方面有了很大提高。

关键词(KeyWords)： 无功优化;自适应遗传算法;遗传模拟退火算法;十进制整数编码;牛顿下山法

Abstract:

Keywords:

基金项目(Foundation): 国家重点基础研究发展计划项目(973项目)(G1998-030405)。~~

作者(Author): 刘科研;盛万兴;李运华;

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DOI:

参考文献(References)：

• [1]熊信艮,吴耀武.遗传算法及其在电力系统中的应用[M].武汉:华中科技大学出版社,2002.
• [2]Iba K.Reactive power optimization by genetic algorithm[J].IEEE Transactions on Power Systems,1994,9(2):685-692.
• [3]李亚男,张粒子,杨以涵.考虑电压约束裕度的无功优化及其内点解法[J].中国电机工程学报,2001,21(9):1-4.Li Yanan,Zhang Lizi,Yang Yihan.Reactive power optimization under voltage constraints margin[J].Proceedings of the CSEE,2001,21(9):1-4(in Chinese).
• [4]Lee K Y,Bai X,Park Y M.Optimization method for reactive power planning by using a modified simple genetic algorithm[J].IEEE Transactions on Power Systems,1995,10(4):1843-1850.
• [5]张元明,王晓东,李乃湖.基于原对偶内点法的电压无功功率优化[J].电网技术,1998,22(6):42-45.Zhang Yuanming,Wang Xiaodong,Li Naihu.Voltage/reactive power optimization based on primal-dual interior point method[J].Power System Technology,1998,22(6):42-45(in Chinese).
• [6]袁辉,徐贵光,周京阳.基于模糊线性规划的无功电压优化[J].电网技术,2003,27(12):42-45.Yuan Hui,Xu Guiguang,Zhou Jingyang.A reactive power/voltage optimization based on fuzzy linear programming[J].Power System Technology,2003,27(12):42-45(in Chinese).
• [7]张勇军,任震,李邦峰.电力系统无功优化调度研究综述[J].电网技术,2005,29(2):50-56.Zhang Yongjun,Ren Zhen,Li Bangfeng.Survey on optimal reactive power dispatch of power systems[J].Power System Technology,2005,29(2):50-56(in Chinese).
• [8]刘方,颜伟,Yu D C.基于遗传算法和内点法的无功优化混合策略[J].中国电机工程学报,2005,25(15):67-72.Liu Fang,Yan Wei,Yu D C.A hybrid strategy based on GA and IPM for optimal reactive power flow[J].Proceedings of the CSEE,2005,25(15):67-72(in Chinese).
• [9]向铁元,周青山,李富鹏,等.小生境遗传算法在无功优化中的应用研究[J].中国电机工程学报,2005,25(17):48-51.Xiang Tieyuan,Zhou Qingshan,Li Fupeng,et al.Research on niche genetic algorithm for reactive power optimization[J].Proceedings of the CSEE,2005,25(17):48-51.
• [10]陈浩勇,王锡凡.电力系统无功优化的退火选择遗传算法[J].中国电力,1998,31(2):2-6.Chen Haoyong,Wang Xifan.A genetic algorithm with annealing selection for reactive power optimization[J].Electric Power,1998,31(2):2-6(in Chinese).
• [11]戴雯霞,吴捷.无功功率优化的改进退火选择遗传算法[J].电网技术,2001,25(11):33-37.Dai Wenxia,Wu Jie.A modified genetic algorithm with annealing selection for reactive power optimization[J].2001,25(11):33-37(in Chinese).
• [12]Deb K,Pratap A,Agrawal S,et al.A fast and elitist multiobjective genetic algorithm:NSGA-Ⅱ[J].IEEE Transactions on Evolutionary Computation,2002,6(2):182-197.
• [13]McCall J.Genetic algorithm for modelling and optimisation[J].Journal of Computational and Applied Mathematics,2005,184(1):205-222.
• [14]张粒子,舒隽,林宪枢,等.基于遗传算法的无功规划优化[J].中国电机工程学报,2000,20(6):5-8.Zhang Lizi,Shu Jun,Lin Xianshu,et al.Reactive power planning based on genetic algorithm[J].2000,20(6):5-8(in Chinese).
• [15]周明,孙树栋.遗传算法原理及应用[M].北京:国防工业出版社,1999.
• [16]吴际舜.电力系统潮流计算的计算机方法[M].上海:上海交通大学出版社,2000.
• [17]Bakirtzis A G,Biskas P N,Zoumas C E,et al.Optimal power flow by enhanced genetic algorithm[J].IEEE Transactions on Power Systems,2002,17(2):229-236.
• [18]Wu Q H,Cao Y J,Wen J Y.Optimal reactive power dispatch using an adative genetic algorithm[J].Int.J.Electr Power&Energy Syst.,1998,20(8):563-569.
• [19]Lai L L,Ma Jintao.Application of evolutionary programming to reactive power planning comparison with nonliear programming approach[J].IEEE Transactions on Power Systems,1997,12(1):198-204.