HYBRID PARTICLE SWARM OPTIMIZATION FOR
SOLVING MULTI-AREA ECONOMIC DISPATCH
PROBLEM
Huynh Thi Thanh Binh
School of Information and Communication Technology,
HaNoi University of Science and Technology, Ha Noi, Viet Nam
ABSTRACT
We consider the Multi-Area Economic Dispatch problem (MAEDP) in deregulated power system
environment for practical multi-area cases with tie line constraints. Our objective is to generate allocation
to the power generators in such a manner that the total fuel cost is minimized while all operating
constraints are satisfied. This problem is NP-hard. In this paper, we propose Hybrid Particle Swarm
Optimization (HGAPSO) to solve MAEDP. The experimental results are reported to show the efficiency of
proposed algorithms compared to Particle Swarm Optimization with Time-Varying Acceleration
Coefficients (PSO-TVAC) and RCGA.
KEYWORDS
Multi-Area Economic Dispatch, Particle Swarm Optimization.
Original Source URL : http://airccse.org/journal/ijsc/papers/4213ijsc02.pdf
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