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

Authors : Y Venkata Krishna REDDY, M Damodar REDDY

Pages : 5-15

View : 18 | Download : 11

Publication Date : 2018-09-01

Article Type : Research Paper

Abstract :This paper bestows the implementation of bio-inspired algorithms like Teaching-learning Based Optimization insert ignore into journalissuearticles values(TLBO); and Salp Swarm Algorithm insert ignore into journalissuearticles values(SSA); for the solution of Economic Load Dispatch insert ignore into journalissuearticles values(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