Sadegh Khaleghi - Department of Electrical Engineering, Mashhad branch, Islamic Azad University, Mashhad, Iran
Reihane Kardehi Moghaddam - Department of Electrical Engineering, Mashhad branch, Islamic Azad University, Mashhad, Iran
Amir Ebrahimi Mousavi - Department of Electrical Engineering, Mashhad branch, Islamic Azad University, Mashhad, Iran
Elnaz Ghahremani - Department of Computer Engineering and Information, Amirkabir University of Technology

This paper involves a novel application of the improved particle swarm optimization (IPSO) in an economic dispatch problem (EDP) that consists influence of valve-point loading, power balance, and generators constraints. This method is able to improve the best value of the cost function with a slight increase in the average time trials. This procedure is suitable for solving large-scale and complex economic dispatch problems. In this report, IPSO algorithm is tested on three systems and experimental results are compared with other efficient methods. Simulation results demonstrate the efficiency of proposed algorithms for solving economic dispatching problems.

IPSO, Economic dispatch, Optimization, Valve point loading