Squirrel Search Optimization for Non-convex Multi-area Economic Dispatch

Multi-area economic load dispatch (MAELD) decides the measure of power that can be fiscally generated in one area and transfered to another area. The goal of MAELD is to determine the most prudent production arrangement that could deliver the nearby power requirement without violating tie-line limits. This study presents a new swarm algorithm called as squirrel search optimization (SSO) to solve the MAELD problems. The impacts of transmission losses, prohibited operating zones, valve point loading and multi-fuel alternatives are additionally contemplated. SSO impersonates the searching conduct of flying squirrels which depends on the dynamic bouncing and skimming procedures. To demonstrate the potency of the suggested approach, it is examined on three different test systems for solving the MAELD problems. Comparative examinations are performed to analyze the adequacy of the suggested SSO approach with exchange market algorithm and different strategies revealed in the literature. The experimental results show that the proposed SSO approach is equipped for acquiring preferred quality solutions over the other existing strategies.

Keywords:

Metaheuristic Approach Multi , area Economic Load Dispatch Multi Fuel Alternatives Swarm Intellegence Valve Point Impacts