Open AccessHybrid Particle Swarm Optimization for Solving Multi-Area Economic Dispatch Problem
Author(s) -
Huỳnh Thị Thanh Bình
Publication year - 2013
Publication title -
international journal of soft computing/international journal on soft computing
Language(s) - English
Resource type - Journals
eISSN - 2229-7103
pISSN - 2229-6735
DOI - 10.5121/ijsc.2013.4202
Subject(s) - computer science , particle swarm optimization , mathematical optimization , economic dispatch , metaheuristic , multi swarm optimization , algorithm , mathematics , physics , electric power system , power (physics) , quantum mechanics
We consider the Multi-Area Economic Dispatch problem (MAEDP) in deregulated power systemenvironment for practical multi-area cases with tie line constraints. Our objective is to generate allocationto the power generators in such a manner that the total fuel cost is minimized while all operatingconstraints are satisfied. This problem is NP-hard. In this paper, we propose Hybrid Particle SwarmOptimization (HGAPSO) to solve MAEDP. The experimental results are reported to show the efficiency ofproposed algorithms compared to Particle Swarm Optimization with Time-Varying AccelerationCoefficients (PSO-TVAC) and RCGA