Optimal power flow using the league championship algorithm: A case study of the Algerian power system

被引：69
作者：
Bouchekara, H. R. E. H. [1 ]
Abido, M. A. [2 ]
Chaib, A. E. [1 ]
Mehasni, R. [1 ]
机构：
[1] Univ Constantine 1, Dept Elect Engn, Constantine Elect Engn Lab, LEC, Constantine 25000, Algeria
[2] King Fahd Univ Petr & Minerals, Dept Elect Engn, Dhahran 31261, Saudi Arabia
来源：
ENERGY CONVERSION AND MANAGEMENT | 2014年 / 87卷
关键词：
League championship algorithm; Optimal power flow; Power system optimization; Environmental pollution; Voltage profile; Voltage stability; DIFFERENTIAL EVOLUTION; VOLTAGE STABILITY; OPTIMIZATION; DISPATCH; OPF;
D O I：
10.1016/j.enconman.2014.06.088
中图分类号：
O414.1 [热力学];
学科分类号：
摘要：
A new efficient optimization method, called the League Championship Algorithm (LCA) is proposed in this paper for solving the optimal power flow problem. This method is inspired by the competition of sport teams in an artificial sport league for several weeks and over a number of seasons. The proposed method has been applied to the Algerian power system network for different objectives. Furthermore, in order to assess the effectiveness of the proposed LCA method the obtained results using this method have been compared to those obtained using other methods reported in the literature. The obtained results and the comparison with other techniques indicate that the league championship algorithm provides effective and high-quality solution when solving the optimal power flow problem. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码：58 / 70
页数：13
相关论文
共 39 条
[1]   Environmental/economic power dispatch using multiobjective evolutionary algorithms [J].
Abido, MA .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2003, 18 (04) :1529-1537
[2]   Optimal power flow using particle swarm optimization [J].
Abido, MA .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2002, 24 (07) :563-571
[3]   Optimal power flow using tabu search algorithm [J].
Abido, MA .
ELECTRIC POWER COMPONENTS AND SYSTEMS, 2002, 30 (05) :469-483
[4]   Optimal power flow using differential evolution algorithm [J].
Abou El Ela, A. A. ;
Abido, M. A. ;
Spea, S. R. .
ELECTRIC POWER SYSTEMS RESEARCH, 2010, 80 (07) :878-885
[5]  
Al-Turki Yusuf A, 2012, ELECT POWER COMPON S, V40
[6]   Applications of computational intelligence techniques for solving the revived optimal power flow problem [J].
AlRashidi, M. R. ;
El-Hawary, M. E. .
ELECTRIC POWER SYSTEMS RESEARCH, 2009, 79 (04) :694-702
[7]   OPTIMAL LOAD FLOW WITH STEADY-STATE SECURITY [J].
ALSAC, O ;
STOTT, B .
IEEE TRANSACTIONS ON POWER APPARATUS AND SYSTEMS, 1974, PA93 (03) :745-751
[8]  
[Anonymous], 2006, LEONARDO J SCI
[9]   Optimal power flow by enhanced genetic algorithm [J].
Bakirtzis, AG ;
Biskas, PN ;
Zoumas, CE ;
Petridis, V .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2002, 17 (02) :229-236
[10]   Application of biogeography-based optimisation to solve different optimal power flow problems [J].
Bhattacharya, A. ;
Chattopadhyay, P. K. .
IET GENERATION TRANSMISSION & DISTRIBUTION, 2011, 5 (01) :70-80
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