Author:
Sravan Kumar B,Vali ShaikHussain,Rafi Vempalle,Nageswara Reddy G
Abstract
Abstract
In this paper space reduction particle swarm optimization(SRPSO) is proposed for solving single-objective optimization problems. Minimization of cost is considered as an objective in the economic dispatch problem. The valve point loading effect is incorporated with the cost function which transfigures to the nonlinear problem. To improve the convergence speed, space reduction is essential and parameter variation keeps away the struck of local optima. Particle swarm optimization (PSO) emphasizes global search and is encountered as a stochastic population-based method. The proposed method is validated on a 26 bus system with 6 generators and the performance results are compared with the other existing techniques.
Subject
General Physics and Astronomy
Reference22 articles.
1. An Improved Particle Swarm Optimization for Nonconvex Economic Dispatch Problems;Park;IEEE Transactions on Power Systems,2010
2. Economic Dispatch Using Quadratic Programming;Reid,1973
3. Optimisation of economic dispatch through quadratic and linear programming;Nabona;Proceedings of the Institution of Electrical Engineers,1973
4. Economic dispatch using an efficient real-coded genetic algorithm;Amjady;IET Generation, Transmission & Distribution,2009