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Received: 11 June 2019 Accepted: 13 August 2019 Economic load dispatch (ELD) problems are traditionally solved by convex optimization techniques. However, these techniques are no longer effective if the ELD problem has a nonconvex cost function. This paper aims to find a suitable meta-heuristic method to solve the ELD problem with non-convex cost function. The ELD of generators in a power system with valve point loading effect was taken as the research problem. Then, several meta-heuristic optimization techniques were compared in their abilities to find the global optimal solution, namely, the lambda iteration method, the teaching and learning based optimization (TLBO) and the oppositional teaching and learning based optimization (OTLBO). The optimization techniques were thoroughly compared through demonstrations on 6, 10, and 14 units test systems. The results show that the OTLBO outperformed the other algorithms in terms of the global optimal solution. Thus, our research confirms the feasibility and effectiveness of the OTLBO for ELD problems with valve point loading effect.

Oppositional Teaching and Learning Based Optimization of Economical Load Dispatch Problem with Valve Point Loading Effect