Economic Dispatch Thermal Generator Using Modified Improved Particle Swarm Optimization

Abstract

AbstrakBiaya bahan bakar generator termal merupakan fungsi bebannya sendiri. Dalam Kata kunci: MIPSO, CFA, Opereasi Ekonomis (ED) Abstract Fuel cost of a thermal generator is its own load functions. In this research, Modified Improved Particle Swarm Optimization (MIPSO) is applied to calculate economic dispatch. Constriction Factor Approach (CFA) is used to modify IPSO algorithm because of the advantage to improve the ability of global searching and to avoid local minimum, so that the time needed to converge become faster.Simulation results achieved by using MIPSO method at the time of peak load of of 9602 MW, obtained generation cost is Rp 7,366,912,798,34 per hour, while generation cost of real system is Rp. 7,724,012,070.30

Optimal Power Flow Using Particle Swarm Optimization Hybrid Inertia Weight and Constriction Factor Algorithm (PSOHIC) Case Study: Thermal Generator System of 150 kV Sulbagsel

“…Modified improved particle swarm optimization method [14], [15] [16], [2], [15], [17], [18], [19], can be seen as the following formula.…”