Economic Dispatch Steam Power Plant Jeranjang and Sambelia Using Hybrid Algorithm Particle Swarm Optimization and Simulated Annealing

Abstract

This paper discusses optimization in steam power plants for power selection which is generated on each generator with the aim of obtaining a fee that is economical, especially in the Lombok Electricity System, by paying attention to load power on individual generators. This paper proposes a hybrid particle swarm optimization and simulated annealing (PSO-SA) to solve economic Dispatch. Economic Dispatch is a method of dividing the load on power system generating units optimally at system prices and loads. Economic Dispatch is used to plan the outputs of all available generation units in the power system so that fuel costs are kept to a minimum and system restrictions are met. This study uses real data from PLN company and simulation from the algorithm Particle Swarm optimization (PSO) to compare the simulation with the PSO-SA algorithm. From this study can be concluded at Jeranjang and Sambelia steam power plants using the PSO-SA method provides better solution performance compared to the PSO method, with a total cost is ${\$}$ 173.860,69 for 24 hours, whereas if you use the PSO method, it is ${\$}$ 174.006,39 for 24 hours. The simulation results show that the method PSO-SA and PSO methods obtained better results when compared to the real data system in the field of PT. PLN.