Solving Economic Load Dispatch problem with Multiple Fuels using Teaching Learning based Optimization and Salp Swarm Algorithm

Abstract

This paper bestows the implementation of bio-inspired algorithms like Teaching-learning Based Optimization (TLBO) and Salp Swarm Algorithm (SSA) for the solution of Economic Load Dispatch (ELD) problem with multiple set of fuels. To obtain the optimal solution, the proposed algorithms are validated on test system consists of ten thermal units with four different load demands.  Results have been obtained using SSA and TLBO and they are compared with the results of recently published methods. The study has been done without valve-point effect as well as with valve-point effect for four different load demands. Both the mentioned algorithms are described and presented in this paper. The optimization which has been done taking total fuel cost as the fitness function. The results are simulated for both the cases and analyzed and then presented in this paper. The results reveal the effectiveness and applicability of the proposed algorithms to ELD problem.

Keywords

• Salp Swarm Algorithm,Teaching-learning Based Optimization,Valve-point effect,Economic load dispatch,multiple fuels,and Valve-point effect

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