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The Security Constrained Economic Dispatch with Line Flow Constraints using the Hybrid PSO Algorithm  

Jang, Se-Hwan (건국대학 전기공학과)
Kim, Jin-Ho (경원대학 전기정보공학)
Park, Jong-Bae (건국대학 전기공학과)
Park, June-Ho (부산대학 전기공학과)
Publication Information
The Transactions of The Korean Institute of Electrical Engineers / v.57, no.8, 2008 , pp. 1334-1341 More about this Journal
Abstract
This paper introduces an approach of Hybrid Particle Swarm Optimization(HPSO) for a security-constrained economic dispatch(SCED) with line flow constraints. To reduce a early convergence effect of PSO algorithm, we proposed HPSO algorithm considering a mutation characteristic of Genetic Algorithm(GA). In power system, for considering N-1 line contingency, we have chosen critical line contingency through a process of Screening and Selection based on PI(performance Index). To prove the ability of the proposed HPSO in solving nonlinear optimization problems, SCED problems with nonconvex solution spaces are considered and solved with three different approach(Conventional GA, PSO, HPSO). We have applied to IEEE 118 bus system for verifying a usefulness of the proposed algorithm.
Keywords
PSO(Particle Swarm Optimization); SCED(Security-constrained economic dispatch);
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