Modified Firefly Algorithm for Handling Optimal Power Flow Control with Operational Constraints

被引：0

作者：

Chen, Gonggui ^{[1
]}

Yi, Xingting ^{[2
]}

Zhang, Zhizhong ^{[3
]}

机构：

[1] Chongqing Univ Posts & Telecommun, Coll Automat, Chongqing, Peoples R China

[2] Chongqing Univ Posts & Telecommun, Chongqing Key Lab Comples Syst & Bion Control, Chongqing, Peoples R China

[3] Chongqing Univ Posts & Telecommun, Key Lab Commun Network & Testing Technol, Chongqing, Peoples R China

来源：

2018 CHINESE AUTOMATION CONGRESS (CAC) | 2018年

关键词：

optimal power flow; firefly algorithm; levy flight; IEEE30; DISPATCH; SYSTEM;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This study describes firefly algorithm (FA) to solve optimal power flow (OPF) control with satisfying various operational constraints. Due to firefly algorithm is easy to convergence prematurely and has the inferior soiling skills, thus, modified firefly algorithm (MFA) is formed by combining the dimensional-based approach with levy flight, which is incorporated in original FA. The proposed MFA approach is implemented on IEEE 30-bus system for solving optimal power flow control. Besides, the results obtained by the MFA algorithm are comparable with those of FA and PSO. The numerical results demonstrate the capabilities of the MFA algorithm to generate true and well-distributed solutions of the OPF control. The simulation results also show that the MFA produces better quality of the solutions than other algorithms. This learning can be more beneficial to the further research of optimal power flow control.

引用

页码：1375 / 1380

页数：6

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