Optimal Power Flow Calculation With Moth-Flame Optimization Algorithm

被引：0
|
作者：
Wang Z. [1 ]
Chen J. [1 ]
Zhang G. [2 ]
Yang Q. [2 ]
Dai Y. [3 ]
机构：
[1] State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan, 430074, Hubei Province
[2] State Grid Sichuan Electric Power Company, Chengdu, 610041, Sichuan Province
[3] Sichuan Electric Power Research Institute, Chengdu, 610072, Sichuan Province
来源：
Dianwang Jishu/Power System Technology | 2017年 / 41卷 / 11期
关键词：
Algorithm performance assessment; Intelligence optimization algorithm; Moth-flame optimization algorithm; Optimal power flow;
D O I：
10.13335/j.1000-3673.pst.2017.0657
中图分类号：
学科分类号：
摘要：
Moth-flame optimization (MFO) algorithmcan be used to solve practical complex engineering problemsas a novel nature-inspired intelligence optimization algorithm with excellent searching and robustness performance. To solve optimal power flow problem in power system, this paper proposes an MFO-based optimal solution scheme. In thescheme, generation cost and its weighted sum with active power loss or node voltage deviation are takenas objective functions of the optimization problem, respectively. Complex constraints in optimal power flow are taken into account. Optimization results of the proposed MFO algorithm are compared with those of other intelligence algorithms. Simulation results of IEEE 30-bus test system indicate that MFO algorithm has advantages of more efficient convergence speed, higher search accuracy and stronger robustness in solving optimal power flow problem. © 2017, Power System Technology Press. All right reserved.
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页码：3641 / 3647
页数：6
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