Hybrid Particle Swarm Optimization for Solving Multi-Area Economic Dispatch Problem | Zendy

Huỳnh Thị Thanh Bình | Zendy

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Hybrid Particle Swarm Optimization for Solving Multi-Area Economic Dispatch Problem

Author(s) -

Huỳnh Thị Thanh Bình

Publication year - 2013

Publication title -

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

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