A New Particle Swarm Optimization Solution to Nonconvex Economic Dispatch Problems
Top Cited Papers
- 29 January 2007
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Power Systems
- Vol. 22 (1), 42-51
- https://doi.org/10.1109/tpwrs.2006.889132
Abstract
This paper proposes a new version of the classical particle swarm optimization (PSO), namely, new PSO (NPSO), to solve nonconvex economic dispatch problems. In the classical PSO, the movement of a particle is governed by three behaviors, namely, inertial, cognitive, and social. The cognitive behavior helps the particle to remember its previously visited best position. This paper proposes a split-up in the cognitive behavior. That is, the particle is made to remember its worst position also. This modification helps to explore the search space very effectively. In order to well exploit the promising solution region, a simple local random search (LRS) procedure is integrated with NPSO. The resultant NPSO-LRS algorithm is very effective in solving the nonconvex economic dispatch problems. To validate the proposed NPSO-LRS method, it is applied to three test systems having nonconvex solution spaces, and better results are obtained when compared with previous approachesKeywords
This publication has 32 references indexed in Scilit:
- A Particle Swarm Optimization for Economic Dispatch With Nonsmooth Cost FunctionsIEEE Transactions on Power Systems, 2005
- The Fully Informed Particle Swarm: Simpler, Maybe BetterIEEE Transactions on Evolutionary Computation, 2004
- Self-Organizing Hierarchical Particle Swarm Optimizer With Time-Varying Acceleration CoefficientsIEEE Transactions on Evolutionary Computation, 2004
- A Cooperative Approach to Particle Swarm OptimizationIEEE Transactions on Evolutionary Computation, 2004
- Evolutionary programming techniques for economic load dispatchIEEE Transactions on Evolutionary Computation, 2003
- An improved tabu search for economic dispatch with multiple minimaIEEE Transactions on Power Systems, 2002
- Evolutionary programming based economic dispatch for units with non-smooth fuel cost functionsIEEE Transactions on Power Systems, 1996
- Genetic and genetic/simulated-annealing approaches to economic dispatchIEE Proceedings - Generation, Transmission and Distribution, 1994
- Genetic algorithm solution of economic dispatch with valve point loadingIEEE Transactions on Power Systems, 1993
- Optimization by direct search and systematic reduction of the size of search regionAIChE Journal, 1973