Abstract
This paper presents a new multi-agent based hybrid particle swarm optimization technique (HMAPSO) applied to the economic power dispatch. The earlier PSO suffers from tuning of variables, randomness and uniqueness of solution. The algorithm integrates the deterministic search, the Multi-agent system (MAS), the particle swarm optimization (PSO) algorithm and the bee decision-making process. Thus making use of deterministic search, multi-agent and bee PSO, the HMAPSO realizes the purpose of optimization. The economic power dispatch problem is a non-linear constrained optimization problem. Classical optimization techniques like direct search and gradient methods fails to give the global optimum solution. Other Evolutionary algorithms provide only a good enough solution. To show the capability, the proposed algorithm is applied to two cases 13 and 40 generators, respectively. The results show that this algorithm is more accurate and robust in finding the global optimum than its counterparts.
Original language | English |
---|---|
Pages (from-to) | 115-123 |
Number of pages | 9 |
Journal | International Journal of Electrical Power and Energy Systems |
Volume | 33 |
Issue number | 1 |
DOIs | |
Publication status | Published - Jan 2011 |
Externally published | Yes |
Keywords
- Economic power dispatch
- Multi-agent system
- PSO
- Valve-point effect
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Electrical and Electronic Engineering