The application of the improved Particle Swarm Optimization on dynamic economic dispatch of power system with wind farms

2015 ◽  
Author(s):  
Weidong Liu ◽  
Zhaowen Luan ◽  
Yang Yang ◽  
Ruiyan Gan ◽  
Hui Zhao
Keyword(s):  
Particle Swarm Optimization ◽  
Power System ◽  
Economic Dispatch ◽  
Particle Swarm ◽  
Wind Farms ◽  
Swarm Optimization ◽  
Improved Particle Swarm Optimization ◽  
Dynamic Economic Dispatch

scholarly journals Dynamic Economic Dispatch Assessment Using Particle Swarm Optimization Technique

2018 ◽  
Vol 7 (3) ◽  
pp. 458-464
Author(s):  
Muhammad Murtadha Othman ◽  
Mohd Affendi Ismail Salim ◽  
Ismail Musirin ◽  
Nur Ashida Salim ◽  
Mohammad Lutfi Othman
Keyword(s):  
Particle Swarm Optimization ◽  
Power System ◽  
Transmission Lines ◽  
Optimization Technique ◽  
Economic Dispatch ◽  
Particle Swarm ◽  
Optimal Operation ◽  
Swarm Optimization ◽  
Particle Swarm Optimization Technique ◽  
Dynamic Economic Dispatch

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.

Sign in / Sign up

Export Citation Format

Share Document