Optimal power flow with emission and non-smooth cost functions using backtracking search optimization algorithm

被引：184
|
作者：
Chaib, A. E. [1 ]
Bouchekara, H. R. E. H. [1 ,2 ]
Mehasni, R. [1 ]
Abido, M. A. [3 ]
机构：
[1] Univ Freres Mentouri Constantine, Dept Elect Engn, Constantine Elect Engn Lab, LEC, Constantine 25000, Algeria
[2] Univ Freres Mentouri Constantine, Dept Elect Engn, Lab Elect Engn Constantine, LGEC, Constantine 25000, Algeria
[3] King Fahd Univ Petr & Minerals, Dept Elect Engn, Dhahran 31261, Saudi Arabia
来源：
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS | 2016年 / 81卷
关键词：
Backtracking search optimization; Energy efficiency; Optimal power flow; Power system optimization; Environmental pollution; Valve-point effect; STABILITY;
D O I：
10.1016/j.ijepes.2016.02.004
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：
Economic operation of electric energy generating systems is one of the prevailing problems in energy systems. In this paper, a new method called the Backtracking Search Optimization Algorithm (BSA) is proposed for solving the optimal power flow problem. This method is tested for 16 different cases on the IEEE 30-bus, IEEE 57-bus, and IEEE 118-bus test systems. In addition to the traditional generating fuel cost, multi-fuels options, valve-point effect and other complexities have been considered. Furthermore, different objectives such as voltage profile improvement, voltage stability enhancement and emission reduction are considered. The obtained results are compared with those obtained using some well-known optimization algorithms. This comparison highlights the effectiveness of the BSA method for solving different OPF problems with complicated and non-smooth objective functions. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码：64 / 77
页数：14
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