基于改进小生境遗传算法的配电网全网无功优化General Reactive Power Optimization of Whole Distribution Network Based on Improved Niche Genetic Algorithm
李惠玲;盛万兴;孟晓丽;
摘要(Abstract):
提出一种配电网全网无功优化方法,该方法将整个配电网划分为高、中、低压3个等级,各级电网再根据自身特点分解为优化单元,遵循从下至上优化的原则,上级主网优化时计及下级子网无功优化的影响,计算结果更准确可靠。各优化单元的无功优化通过改进的小生境遗传算法来实现,该算法将个体距离判别标准设置为动态函数,能够更灵活、更准确地跟踪个体距离,收敛速度快且能在全局范围内找到最优解。针对某配电网的计算实例验证了配电网全网无功优化方法的优越性。
关键词(KeyWords): 配电网;全网无功优化;小生境遗传算法;优化单元
基金项目(Foundation): “十一五”国家科技支撑计划重点项目(2006BAJ04B06);; 国家电网公司资助项目(SGKJ[2007]82)~~
作者(Author): 李惠玲;盛万兴;孟晓丽;
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参考文献(References):
- [1]李源,曾嵘,盛新富.基于全局优化的10kV配网分布式无功补偿系统的研制[J].高压电器,2003,39(4):23-25.Li Yuan,Zeng Rong,Sheng Xinfu.Research on distributed reactive power compensation system based on total optimum in10kV distribution network[J].High Voltage Apparatus,2003,39(4):23-25(in Chinese).
- [2]余建明,杜刚,姚李孝.结合灵敏度分析的遗传算法应用于配电网无功补偿优化规划[J].电网技术,2002,26(7):46-49.Yu Jianming,Du Gang,Yao Lixiao.Application of genetic algorithm combining sensitivity analysis to optimized planning of reactive power compensation for distribution network[J].Power System Technology,2002,26(7):46-49(in Chinese).
- [3]文劲宇,江振华,姜霞.基于遗传算法的无功优化在鄂州电网中的实现[J].电力系统自动化,2004,28(6):45-47.Wen Junyu,Jiang Zhenhua,Jiang Xia.Genetic algorithm based reactive power optimization and its application in Ezhou City power system[J].Automation of Electric Power Systems,2004,28(6):45-47(in Chinese).
- [4]丁晓群,邓勇,黄伟.基于遗传算法的无功优化在福建电网的实用化改进[J].电网技术,2004,28(16):44-47.Ding Xiaoqun,Deng Yong,Huang Wei.Practical improvement of reactive power optimization based on genetic algorithm in Fujian power system[J].Power System Technology,2004,28(16):44-47(in Chinese).
- [5]孙宏斌,张伯明,郭庆来.基于软分区的全局电压优化控制系统设计[J].电力系统自动化,2003,27(8):16-20.Sun Hongbin,Zhang Boming,Guo Qinglai.Design for global optimal voltage control system based on soft identification of secondary control zones[J].Automation of Electric Power Systems,2003,27(8):16-20(in Chinese).
- [6]张武军,叶剑锋,梁伟杰.基于改进遗传算法的多目标无功优化[J].电网技术,2004,28(11):67-71.Zhang Wujun,Ye Jianfeng,Liang Weijie.Mutiple-objective reactive power optimization based on improved genetic algorithm[J].Power System Technology,2004,28(11):67-71(in Chinese).
- [7]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):37-73.Liu Fang,Yan Wei,Yu D C.A hybrid strategy based on GA and IPM for optimal reactive power flow[J].Power System Technology,2005,25(15):37-73(in Chinese).
- [8]耿光飞,杨仁刚.基于定向变异遗传算法的地区电网无功功率优化[J].电网技术,2004,28(10):42-45.Geng Guangfei,Yang Rengang.Reactive power optimization of regional power network by directed mutation based genetic algorithm[J].Power System Technology,2004,28(10):42-45(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(in Chinese).
- [10]李惠玲,盛万兴,张学仁,等.改进小生境遗传算法在无功优化的应用[J].电网技术,2008,32(17):27-34.Li Huiling,Sheng Wanxing,Zhang Xueren,et al.Application of improved niche genetic algorithm in reactive power optimization[J].Power System Technology,2008,32(17):27-34(in Chinese).
- [11]熊信良,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,2002:89-130.
- [12]王锡凡.现代电力系统分析[M].北京:科学出版社,2003:55-85.