Solution to economic dispatch problem with valve-point loading effect by using catfish PSO algorithm

This paper proposes application of a catfish particle swarm optimization (PSO) algorithm to economic dispatch (ED) problems. The ED problems considered in this paper include valve-point loading effect, power balance constraints, and generator limits. The conventional PSO and catfish PSO algorithms are applied to three different test systems and the solutions obtained are compared with each other and with those reported in literature. The comparison of solutions shows that catfish PSO outperforms the conventional PSO and other methods in terms of solution quality though there is a slight increase in computational time.

[1]  Z. Dong,et al.  Quantum-Inspired Particle Swarm Optimization for Valve-Point Economic Load Dispatch , 2010, IEEE Transactions on Power Systems.

[2]  Amir Hossein Gandomi,et al.  Firefly Algorithm for solving non-convex economic dispatch problems with valve loading effect , 2012, Appl. Soft Comput..

[3]  Z.-X. Liang,et al.  A zoom feature for a dynamic programming solution to economic dispatch including transmission losses , 1992 .

[4]  Ching-Tzong Su,et al.  New approach with a Hopfield modeling framework to economic dispatch , 2000 .

[5]  Li-Yeh Chuang,et al.  Catfish particle swarm optimization , 2008, 2008 IEEE Swarm Intelligence Symposium.

[6]  P. Martin,et al.  An optimal formulation and solution of short-range operating problems for a power system with flow constraints , 1972 .

[7]  L. L. Lai,et al.  A fuzzy dissolved gas analysis method for the diagnosis of multiple incipient faults in a transformer , 2000 .

[8]  T. Jayabarathi,et al.  A hybrid BFA-PSO algorithm for economic dispatch with valve-point effects , 2012 .

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

[10]  D. Chattopadhyay,et al.  A multi-area linear programming approach for analysis of economic operation of the Indian power system , 1996 .

[11]  A. Ebenezer Jeyakumar,et al.  Hybrid PSO–SQP for economic dispatch with valve-point effect , 2004 .

[12]  Sushil Kumar,et al.  Nonconvex economic load dispatch using an efficient real-coded genetic algorithm , 2009, Appl. Soft Comput..

[13]  Chern-Lin Chen,et al.  Branch-and-bound scheduling for thermal generating units , 1993 .

[14]  A. Selvakumar,et al.  A New Particle Swarm Optimization Solution to Nonconvex Economic Dispatch Problems , 2007, IEEE Transactions on Power Systems.

[15]  I. Ngamroo,et al.  Multiple tabu search algorithm for economic dispatch problem considering valve-point effects , 2011 .

[16]  Ling Wang,et al.  An effective differential harmony search algorithm for the solving non-convex economic load dispatch problems , 2013 .

[17]  James Kennedy,et al.  Particle swarm optimization , 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.

[18]  Waree Kongprawechnon,et al.  Ant colony optimisation for economic dispatch problem with non-smooth cost functions , 2010 .

[19]  L. Freris,et al.  Optimisation of economic dispatch through quadratic and linear programming , 1973 .

[20]  Ettore Francesco Bompard,et al.  A self-adaptive chaotic particle swarm algorithm for short term hydroelectric system scheduling in deregulated environment , 2005 .

[21]  P. K. Chattopadhyay,et al.  Evolutionary programming techniques for economic load dispatch , 2003, IEEE Trans. Evol. Comput..

[22]  Kazem Zare,et al.  Solving non-convex economic dispatch problem with valve point effects using modified group search optimizer method , 2012 .