Solving Economic Dispatch Problem Using a New Hybrid PSO-ALO Algorithm

This study presents the application of a new hybrid particle swarm optimization and ant lion algorithm (Hybrid PSO-ALO) to resolve the economic dispatch problem (ED) considering the limits on generator real power output and power loss in transmission. In hybrid ALO-PSO, individuals in a new generation are created by different strategies of PSO and ALO that allows the creation of a new, richer population and superiority. The effectiveness of this hybrid approach is examined and confirmed by applying it on various test networks of 6 and 10 generators. The results demonstrate that the proposed hybrid PSO-ALO has better performance and gives a better solution compared with other heuristic algorithms in the recent literature.

• economic dispatch
• hybrid particle swarm optimization
• ant lion optimizer
• power transmission losses
• metaheuristic optimization

• 7 — Énergie propre et d’un coût abordable
• 9 — Industrie, innovation et infrastructure

• Electric Power System Optimization
• Metaheuristic Optimization Algorithms Research
• Optimal Power Flow Distribution
• economic dispatch
• hybrid particle swarm optimization
• ant lion optimizer
• power transmission losses
• metaheuristic optimization
• Electrical and Electronic Engineering
• Artificial Intelligence
• Engineering
• Computer Science