A hybrid genetic algorithm-interior point method for optimal reactive power flow
A hybrid genetic algorithm-interior point method for optimal reactive power flow
复制标题
最优无功潮流混合遗传算法-内点法
DOI：
10.1109/tpwrs.2006.879262
复制
发表时间：
2006-07
影响因子：
6.6
通讯作者：
Wong, K. P.
中科院分区：
文献类型：
--
作者：
Yan, Wei;Liu, Fang;Chung, C. Y.;Wong, K. P.
通过将遗传算法（GA）与非线性内部方法（IPM）整合在一起，在本文中提出了一种新型的用于最佳反应性功率流（ORPF）问题的混合方法。提出的方法可以主要分为两部分。第一个p
By integrating a genetic algorithm (GA) with a nonlinear interior point method (IPM), a novel hybrid method for the optimal reactive power flow (ORPF) problem is proposed in this paper. The proposed method can be mainly divided into two parts. The first part is to solve the ORPF with the IPM by relaxing the discrete variables. The second part is to decompose the original ORPF into two sub-problems: continuous optimization and discrete optimization. The GA is used to solve the discrete optimization with the continuous variables being fixed, whereas the IPM solves the continuous optimization with the discrete variables being constant. The optimal solution can be obtained by solving the two sub-problems alternately. A dynamic adjustment strategy is also proposed to make the GA and the IPM to complement each other and to enhance the efficiency of the hybrid proposed method. Numerical simulations on the IEEE 30-bus, IEEE 118-bus and Chongqing 161-bus test systems illustrate that the proposed hybrid method is efficient for the ORPF problem
登录
查看更多内容
影响因子：
6.6
作者：
GRANVILLE, S
通讯作者：
GRANVILLE, S
影响因子：
6.6
作者：
Wei Yan;Shuai Lu;David C. Yu
通讯作者：
Wei Yan;Shuai Lu;David C. Yu
DOI：
10.1049/ip-gtd:20010214
发表时间：
2001-05
期刊：
--
影响因子：
--
作者：
J. Mantovani;S.A.G. Modesto;Ariovaldo V. Garcia
通讯作者：
J. Mantovani;S.A.G. Modesto;Ariovaldo V. Garcia
DOI：
10.1109/ptc.2001.964907
发表时间：
2001-09
期刊：
2001 IEEE Porto Power Tech Proceedings (Cat. No.01EX502)
影响因子：
--
作者：
J. Soto;C.R.R. Domellas;D. Falcão
通讯作者：
J. Soto;C.R.R. Domellas;D. Falcão
DOI：
10.1049/ip-gtd:19990683
发表时间：
1999-11
期刊：
--
影响因子：
--
作者：
J. R. Gomes;O. Saavedra
通讯作者：
J. R. Gomes;O. Saavedra