Optimal power flow using GA with a new multi-parent crossover considering: prohibited zones, valve-point effect, multi-fuels and emission

被引：32

作者：

Bouchekara, H. R. E. H. ^{[1
]}

Chaib, A. E. ^{[1
]}

Abido, M. A. ^{[2
]}

机构：

[1] Univ Freres Mentouri Constantine, Dept Elect Engn, Lab Elect Engn Constantine, LGEC, Constantine 25000, Algeria

[2] King Fahd Univ Petr & Minerals, Dept Elect Engn, Dhahran 31261, Saudi Arabia

来源：

ELECTRICAL ENGINEERING | 2018年 / 100卷 / 01期

关键词：

Optimal power flow; Power system optimization; Genetic algorithm with multi-parent crossover; DIFFERENTIAL EVOLUTION ALGORITHM; NONSMOOTH COST-FUNCTIONS; OPTIMIZATION ALGORITHM; ECONOMIC-DISPATCH; GENETIC ALGORITHM; SEARCH ALGORITHM;

D O I：

10.1007/s00202-016-0488-9

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, a genetic algorithm with new multi-parent crossover (GA-MPC) is used for solving the optimal power flow problem. This method is tested on the IEEE 30-bus test system for 10 different cases where, in addition to the total fuel cost, different complexities and constraints like: emission, multi-fuels, valve-point effect and prohibited zones are considered. The effectiveness and robustness of the GA-MPC method are assessed using a statistical study and a comparative study with some well-known optimization methods. The obtained results along with the comparison study indicate that the GA-MPC method provides effective and high-quality solution when solving the optimal power flow problem even for complicated and highly constrained working conditions.

引用

页码：151 / 165

页数：15

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