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

Huynh Thi Thanh Binh,University of Science and Technology,Vietnam

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: https://airccse.org/journal/ijsc/papers/4213ijsc02.pdf

https://airccse.org/journal/ijsc/current2013.html