TITLE:
A Multi-Agent Particle Swarm Optimization for Power System Economic Load Dispatch
AUTHORS:
Chenbin Wu, Haiming Li, Lei Wu, Zhengyang Wu
KEYWORDS:
Economic Load Dispatch, Multi-Agent System, Particle Swarm Optimization, Power System, Valve Point Effect
JOURNAL NAME:
Journal of Computer and Communications,
Vol.3 No.9,
September
25,
2015
ABSTRACT: A new versatile optimization, the particle
swarm optimization based on multi-agent system (MAPSO) is presented. The
economic load dispatch (ELD) problem of power system can be solved by the
algorithm. By competing and cooperating with the randomly selected neighbors,
and adjusting its global searching ability and local exploring ability, this
algorithm achieves the goal of high convergence precision and speed. To verify
the effectiveness of the proposed algorithm, this algorithm is tested by three
different ELD cases, including 3, 13 and 40 units IEEE cases, and the
experiment results are compared with those tested by other intelligent
algorithms in the same cases. The compared results show that feasible solutions
can be reached effectively, local optima can be avoided and faster solution can
be applied with the proposed algorithm, the algorithm for ELD problem is
versatile and efficient.