Dynamic Economic Dispatch Assessment Using Particle Swarm Optimization Technique

Muhammad Murtadha Othman (Universiti Teknologi MARA)
Mohd Affendi Ismail Salim (Universiti Teknologi MARA)
Ismail Musirin (Universiti Teknologi MARA)
Nur Ashida Salim (1Universiti Teknologi MARA)
Mohammad Lutfi Othman (Universiti Putra Malaysia)

Bulletin of Electrical Engineering and Informatics
Vol 7, No 3: September 2018

This paper presents the application of particle swarm optimization (PSO) technique for solving the dynamic economic dispatch (DED) problem. The DED is one of the main functions in power system planning in order to obtain optimum power system operation and control. It determines the optimal operation of generating units at every predicted load demands over a certain period of time. The optimum operation of generating units is obtained by referring to the minimum total generation cost while the system is operating within its limits. The DED based PSO technique is tested on a 9-bus system containing of three generator bus, six load bus and twelve transmission lines.