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

被引：196

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：

080906 [电磁信息功能材料与结构]; 082806 [农业信息与电气工程];

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

页码：64 / 77

页数：14

共 31 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 differential evolution algorithm [J].

Abou El Ela, A. A. ;

Abido, M. A. ;

Spea, S. R. .

ELECTRIC POWER SYSTEMS RESEARCH, 2010, 80 (07) :878-885

[3]

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

[4]

A hybrid GA-PS-SQP method to solve power system valve-point economic dispatch problems [J].

Alsumait, J. S. ;

Sykulski, J. K. ;

Al-Othman, A. K. .

APPLIED ENERGY, 2010, 87 (05) :1773-1781

[5]

[Anonymous], 2013, PROG ELECTROMAGN RES

[6]

[Anonymous], [No title captured]

[7]

Chaotic artificial bee colony algorithm based solution of security and transient stability constrained optimal power flow [J].

Ayan, Kursat ;

Kilic, Ulas ;

Barakli, Burhan .

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2015, 64 :136-147

[8]

Solution of optimal power flow using non dominated sorting multi objective opposition based gravitational search algorithm [J].

Bhowmik, Arup Ratan ;

Chakraborty, Ajoy Kumar .

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2015, 64 :1237-1250

[9]

Optimal power flow using the league championship algorithm: A case study of the Algerian power system [J].

Bouchekara, H. R. E. H. ;

Abido, M. A. ;

Chaib, A. E. ;

Mehasni, R. .

ENERGY CONVERSION AND MANAGEMENT, 2014, 87 :58-70

[10]

Optimal power flow using black-hole-based optimization approach [J].

Bouchekara, H. R. E. H. .

APPLIED SOFT COMPUTING, 2014, 24 :879-888

← 1 2 3 4 →