Comparative Analysis on Economic Load Dispatch Problem Optimization using Moth Flame Optimization and Sine Cosine Algorithms

Electrical Engineering

This paper proposes a heuristic approach for Economic Load Dispatch Problem Optimization (ELDPO) in Power Management System (PMS) using Sine Cosine Algorithm (SCA) and Moth Flame Optimizer Algorithm (MFO), erstwhile performing a combinatorial analysis among them. ELDPO is a remedy to real time onsite problem incurred in PMS of Electrical Power Generation Systems (EPGS) (Both Conventional & Non-Conventional) which paves way to transmission and operation constraints. SCA is used for constrained optimization problems and based on the concept of a correlation mathematical model of sine and cosine functions. Also, MFO is a heuristic algorithm which utilizes the concept that the moth eventually converges towards the light. Both SCA algorithm and MFO algorithm are utilized for ELDPO of Three IEEE benchmarks of small scale power systems and are verified by a comparative study with Lambda Iteration. Combinatorial results show that the performance of MFO is better than SCA algorithm in view of various parameters viz. Exploration, local optima avoidance, exploitation and convergence.

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