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
Abstract: This paper introduces an improved particle swarm optimization to solve economic dispatch p...
ELD or economic load dispatch is a crucial aspect in any practical power network. Economic load disp...
In this paper an efficient and Particle Swarm Optimization (PSO) has been presented for solving the ...
This paper presents the application of Particle Swarm Optimization (PSO) technique for solving the D...
The research work in this dissertation deals with dynamic economic dispatch problem for large power ...
Economic Dispatch (ED) problem, in practice, is a nonlinear, non-convex type,which has developed gra...
Economic dispatch is one of the important issues in power system operation and planning. Economic di...
Due to limited availability of coal and gases, optimization plays an important factor in thermal gen...
This project presents a new approach to solve Economic Dispatch (ED) using Particle Swarm Optimizati...
This project presents an efficient and reliable Particle Swarm Optimization (PSO) method for the Eco...
This paper examines how two techniques of the Particle Swarm Optimization method (PSO) can be used t...
Economic Dispatch is one of fundamental in power system studies and becomes an important part of the...
The power system in modern world has grown in complexity of interconnection and power demands. The f...
Economic dispatch (ED) is an essential part of any power system network. ED is how to schedule the r...
Multi-area Economic Dispatch (MAED) is an important issue in power system operation and generation w...
Abstract: This paper introduces an improved particle swarm optimization to solve economic dispatch p...
ELD or economic load dispatch is a crucial aspect in any practical power network. Economic load disp...
In this paper an efficient and Particle Swarm Optimization (PSO) has been presented for solving the ...
This paper presents the application of Particle Swarm Optimization (PSO) technique for solving the D...
The research work in this dissertation deals with dynamic economic dispatch problem for large power ...
Economic Dispatch (ED) problem, in practice, is a nonlinear, non-convex type,which has developed gra...
Economic dispatch is one of the important issues in power system operation and planning. Economic di...
Due to limited availability of coal and gases, optimization plays an important factor in thermal gen...
This project presents a new approach to solve Economic Dispatch (ED) using Particle Swarm Optimizati...
This project presents an efficient and reliable Particle Swarm Optimization (PSO) method for the Eco...
This paper examines how two techniques of the Particle Swarm Optimization method (PSO) can be used t...
Economic Dispatch is one of fundamental in power system studies and becomes an important part of the...
The power system in modern world has grown in complexity of interconnection and power demands. The f...
Economic dispatch (ED) is an essential part of any power system network. ED is how to schedule the r...
Multi-area Economic Dispatch (MAED) is an important issue in power system operation and generation w...
Abstract: This paper introduces an improved particle swarm optimization to solve economic dispatch p...
ELD or economic load dispatch is a crucial aspect in any practical power network. Economic load disp...
In this paper an efficient and Particle Swarm Optimization (PSO) has been presented for solving the ...