Particle swarm optimization algorithm for the solution of nonconvex economic dispatch problem with valve point effect

In this study, particle swarm optimization (PSO) algorithm has been used for the solution of the economic dispatch problem with valve point effect. In these kind of problems, fuel cost curve increases as sinusoidal oscillations. In the solution of the problem B loss matrix has been used for the calculation of the transmission line losses. Total fuel cost rate has been minimized under electrical constraints. PSO algorithm has been applied to three different test systems one with 6 buses 3 generators, the other with 14 buses 5 generators (IEEE) and the last one with 30 buses 6 generators (IEEE). The obtained optimum solution values have been compared with optimum solution values obtained by the application of different methods in literature and the results of them have been discussed.

[1]  B. F. Wollenberg,et al.  Power Operation, Generation and Control , 1996 .

[2]  Vishnu Prasad,et al.  Economic dispatch using particle swarm optimization: A review , 2009 .

[3]  Derviş Karaboğa,et al.  Yapay Zeka Optimizasyon Algoritmaları , 2004 .

[4]  Lingfeng Wang,et al.  Environmental/economic power dispatch using a fuzzified multi-objective particle swarm optimization algorithm , 2007 .

[5]  N. S. Babu,et al.  Analytical solution for combined economic and emissions dispatch , 2008 .

[6]  Lixiang Li,et al.  A multi-objective chaotic particle swarm optimization for environmental/economic dispatch , 2009 .

[7]  A. Immanuel Selvakumar,et al.  Anti-predatory particle swarm optimization : Solution to nonconvex economic dispatch problems , 2008 .

[8]  Timur Keskintürk,et al.  Diferansiyel gelişim algoritması , 2006 .

[9]  Yanbin Yuan,et al.  A hybrid differential evolution method for dynamic economic dispatch with valve-point effects , 2009, Expert Syst. Appl..

[10]  Shakil Akhtar,et al.  A new hybrid approach for the solution of nonconvex economic dispatch problem with valve-point effects , 2010 .

[11]  Allen J. Wood,et al.  Power Generation, Operation, and Control , 1984 .

[12]  M. A. Abido,et al.  Multiobjective particle swarm optimization for environmental/economic dispatch problem , 2009 .

[13]  Lingfeng Wang,et al.  Reserve-constrained multiarea environmental/economic dispatch based on particle swarm optimization with local search , 2009, Eng. Appl. Artif. Intell..

[14]  Yacine Labbi,et al.  BIG BANG-BIG CRUNCH OPTIMIZATION ALGORITHM FOR ECONOMIC DISPATCH WITH VALVE-POINT EFFECT , 2010 .

[15]  Ming-Tong Tsay,et al.  A partition approach algorithm for nonconvex economic dispatch , 2007 .