Optimal power flow using an Improved Colliding Bodies Optimization algorithm

被引:190
作者
Bouchekara, H. R. E. H. [1 ,2 ]
Chaib, A. E. [1 ]
Abido, M. A. [3 ]
El-Sehiemy, R. A. [4 ]
机构
[1] Univ Freres Mentouri Constantine, Constantine Elect Engn Lab, LEC, Dept Elect Engn, Constantine 25000, Algeria
[2] Univ Freres Mentouri Constantine, Lab Elect Engn Constantine, LGEC, Dept Elect Engn, Constantine 25000, Algeria
[3] King Fahd Univ Petr & Minerals, Dept Elect Engn, Dhahran 31261, Saudi Arabia
[4] Kafrelsehiekh Univ, Dept Elect Engn, Fac Engn, Kafr Al Sheikh, Egypt
关键词
Colliding Bodies Optimization; Optimal power flow; Security-constrained optimal power flow; Power system optimization; Metaheuristics; BIOGEOGRAPHY-BASED OPTIMIZATION; IMPERIALIST COMPETITIVE ALGORITHM; HYBRID ALGORITHM; NONSMOOTH; EVOLUTIONARY; STABILITY; STRATEGY;
D O I
10.1016/j.asoc.2016.01.041
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper proposes Improved Colliding Bodies Optimization (ICBO) algorithm to solve efficiently the optimal power flow (OPF) problem. Several objectives, constraints and formulations at normal and preventive operating conditions are used to model the OPF problem. Applications are carried out on three IEEE standard test systems through 16 case studies to assess the efficiency and the robustness of the developed ICBO algorithm. A proposed performance evaluation procedure is proposed to measure the strength and robustness of the proposed ICBO against numerous optimization algorithms. Moreover, a new comparison approach is developed to compare the ICBO with the standard CBO and other well-known algorithms. The obtained results demonstrate the potential of the developed algorithm to solve efficiently different OPF problems compared to the reported optimization algorithms in the literature. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:119 / 131
页数:13
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