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电网技术  2010 

多负荷水平下配电网电容器优化配置算法

, PP. 85-89

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Abstract:

提出了多负荷水平下的配电网电容器优化配置算法。首先,在大负荷水平下,根据节点补偿容量上限确定无功补偿初始解;然后,基于各初始解采用解析法求得中小负荷水平下使系统损耗最小的电容器投切容量,实现了各补偿点电容器在不同负荷水平下的有效配置;最后应用遗传算法对无功补偿可行解进行逐代优化,求得最优无功补偿方案。IEEE33节点系统算例验证了该算法的有效性。

References

[1]  程浩忠,张焰.电力网络规划的方法与应用[M].上海:上海科学技术出版社,2002:1-3.
[2]  胡海燕,刘健,武晓朦.配电网低压侧自动无功补偿装置安装位置的优化规划[J].继电器,2004,32(19):24-28.
[3]  Hu Haiyan,Liu Jian,Wu Xiaomeng.Optimal placement of automatic reactive compensation equipment on the low voltage side of distribution transformers[J].Relay,2004,32(19):24-28(in Chinese).
[4]  Huang Y C,Yang H T,Huang C L.Solving the capacitor placement problem using tabu search approach[J].IEEE Trans on Power Systems,1996,11(4):1868-1873.
[5]  李亚男,张粒子,舒隽,等.结合专家知识的遗传算法在无功规划优化中的应用[J].电网技术,2001,25(7):14-17.
[6]  Li Yanan,Zhang Lizi,Shu Jun,et al.Application of expert knowledge adopted genetic algorithm to optimization of reactive power planning [J].Power System Technology,2001,25(7):14-17(in Chinese).
[7]  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.
[8]  Wang Chengshan,Zhang Yi.Optimal reactive power planning using bender’s decomposition technique and interior point method[J].Proceeding of the EPSA,2003,15(4):46-50(in Chinese).
[9]  Zhang Lizi,Shu Jun,Lin Xianshu,et al.Reactive power planning based on genetic algorithm[J].Proceedings of the CSEE,2000,20(6):5-8 (in Chinese).
[10]  江洁,王主丁,张宗益,等.基于有效生成初始种群的配电网无功规划优化遗传算法[J].电网技术,2009,33(8):60-65.
[11]  Jiang Jie,Wang Zhuding,Zhang Zongyi,et al.Effective initial population generation based genetic algorithm for optimal capacitor placement in radial distribution networks[J].Power System Technology,2009,33(8):60-65(in Chinese).
[12]  余健明,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.
[13]  Yu Jianming,Du Gang,Yao Lixiao.Application of genetic algorithm combining sensitivity analysis to optimized planning of reactive power compensation for distribution networks[J].Power System Technology,2002,26(7):46-49(in Chinese).
[14]  王成山,张义.基于Bender’s分解和内点法的无功优化规划[J].电力系统及其自动化学报,2003,15(4):46-50.
[15]  杨丽徙,徐中友,朱向前.基于改进遗传算法的配电网无功优化规划[J].华北电力大学学报,2007,34(1):26-30.
[16]  Yang Lixi,Xu Zhongyou,Zhu Xiangqian.Optimization of reactive power planning of distribution systems based on improved genetic algorithm[J].Journal of North China Electric Power University,2007,34(1):26-30(in Chinese).
[17]  霍佳丽,王主丁,聂崇峡.常用电能损耗近似计算方法的误差分析[J].电网技术,2009,33(18):50-56.
[18]  Huo Jiali,Wang Zhuding,Nie Chongxia.Error analysis of widely used electric energy loss calculation methods[J].Power System Technology,2009,33(18):50-56(in Chinese).
[19]  王佳贤,程浩忠,胡泽春.多负荷水平下的配电网无功优化规划方法[J].电网技术,2008,32(19):56-61.
[20]  Wang Jiaxian,Cheng Haozhong,Hu Zechun.Optimal reactive power planning for distribution systems considering multi-load levels[J].Power System Technology,2008,32 (19):56-61(in Chinese).
[21]  钟红梅,任震,张勇军,等.免疫算法及其在电力系统无功优化中的应用[J].电网技术,2004,28(3):16-19.
[22]  Zhong Hongmei,Ren Zhen,Zhang Yongjun,et al.Immune algorithm and its application in power system reactive power optimization[J].Power System Technology,2004,28(3):16-19(in Chinese).
[23]  贺峰,熊信艮,吴耀武.改进免疫算法在电力系统电源规划中的应用[J].电网技术,2004,28(11):38-44.
[24]  He Feng,Xiong Xinyin,Wu Yaowu.Application of modified immune algorithm in power system generation expansion planning[J].Power System Technology,2004,28(11):38-44(in Chinese).
[25]  Endoh S,Toma N,Yamada K.Immune algorithm for n-TSP[C]//1998 IEEE International Conference on Systems,Man and Cybernetics.San Diego,USA:IEEE,1998:3844-3849.
[26]  Zhuding Wang, Farrokh Shokooh,Jun Qiu.An efficient algorithm for assessing reliability indexes of general distribution systems[J].IEEE Trans on Power Systems,2002,17(3):608-614.

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