Combined heat and power economic dispatch problem solution using particle swarm optimization with time varying acceleration coefficients

被引:253
作者
Mohammadi-Ivatloo, Behnam [1 ]
Moradi-Dalvand, Mohammad [1 ]
Rabiee, Abbas [1 ]
机构
[1] Islamic Azad Univ, Ashtian Branch, Dept Elect Engn, Ashtian, Iran
关键词
Combined heat and power (CHP); Economic dispatch; Time varying acceleration coefficients particle swarm optimization; Non-convex optimization; ALGORITHM;
D O I
10.1016/j.epsr.2012.08.005
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
In this paper a novel time varying acceleration coefficients particle swarm optimization (TVAC-PSO) algorithm is implemented to solve combined heat and power economic dispatch (CHPED) problem. The CHPED problem is a challenging non-convex and non-linear optimization problem. The acceleration coefficients in PSO algorithm are varied adaptively during iterations to improve solution quality of original PSO and avoid premature convergence. The effect of valve-point in cost function considered with adding an absolute sinusoidal term to conventional polynomial cost function. The proposed method is applied to five test cases with different characteristics. Also, a new large scale test case considering valve-points effects is proposed in this paper. The obtained results demonstrate the superiority of the proposed method in solving non-convex and constrained CHPED problem. (c) 2012 Elsevier B.V. All rights reserved.
引用
收藏
页码:9 / 18
页数:10
相关论文
共 28 条
[1]   A hybrid HNN-QP approach for dynamic economic dispatch problem [J].
Abdelaziz, A. Y. ;
Kamh, M. Z. ;
Mekhamer, S. F. ;
Badr, M. A. L. .
ELECTRIC POWER SYSTEMS RESEARCH, 2008, 78 (10) :1784-1788
[2]  
[Anonymous], 2001, SWARM INTELL-US
[3]  
[Anonymous], 2007, Cogener. Distrib. Gener. J, DOI DOI 10.1080/15453660709509121
[4]   Bee colony optimization for combined heat and power economic dispatch [J].
Basu, M. .
EXPERT SYSTEMS WITH APPLICATIONS, 2011, 38 (11) :13527-13531
[5]   Combined Heat and Power Economic Dispatch by Using Differential Evolution [J].
Basu, M. .
ELECTRIC POWER COMPONENTS AND SYSTEMS, 2010, 38 (08) :996-1004
[6]   Particle swarm optimization with time varying acceleration coefficients for non-convex economic power dispatch [J].
Chaturvedi, Krishna Teerth ;
Pandit, Manjaree ;
Srivastava, Laxmi .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2009, 31 (06) :249-257
[7]   The particle swarm - Explosion, stability, and convergence in a multidimensional complex space [J].
Clerc, M ;
Kennedy, J .
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2002, 6 (01) :58-73
[8]   An algorithm for combined heat and power economic dispatch [J].
Guo, T ;
Henwood, MI ;
vanOoijen, M .
IEEE TRANSACTIONS ON POWER SYSTEMS, 1996, 11 (04) :1778-1784
[9]   Combined heat and power economic dispatch by mesh adaptive direct search algorithm [J].
Hosseini, Seyyed Soheil Sadat ;
Jafarnejad, Ali ;
Behrooz, Amir Hossein ;
Gandomi, Amir Hossein .
EXPERT SYSTEMS WITH APPLICATIONS, 2011, 38 (06) :6556-6564
[10]  
Kennedy J., 1995, 1995 IEEE International Conference on Neural Networks Proceedings (Cat. No.95CH35828), P1942, DOI 10.1109/ICNN.1995.488968