WSEAS Transactions on Systems and Control
Print ISSN: 1991-8763, E-ISSN: 2224-2856
Volume 13, 2018
Application of Cauchy Mutated Memetic Particle Swarm Optimization Algorithm to Economic Dispatch Problem with Practical Constraints
Authors: ,
Abstract: This paper presents a new solution approach to economic dispatch (ED) problems with practical operating constraints using a Cauchy mutated memetic particle swarm optimization (CMMPSO) algorithm. The practical operating constraints such as valve point effect, multiple fuel options, prohibited operating zones, ramp rates of generators and environmental constraints are considered in this paper. ED problems have non-smooth cost functions with equality and inequality constraints that make the problem of finding the global optimum difficult using any traditional optimization approaches. The main objective of this paper is to develop a simple, reliable and efficient algorithm for solving the Economic Dispatch problem with multiple practical operating constraints. The proposed CMMPSO algorithm is used to test ED problems with different practical operating constraints. The results of the CMMPSO are compared with the results of Particle Swarm Optimization (PSO) and differential evolutionary algorithm.
Search Articles
Keywords: Economic Dispatch, Cauchy Mutated Memetic Particle Swarm Optimization, Multi Fuel, Prohibited Zones, Ramp Rate, Valve Point Effect
Pages: 80-87
WSEAS Transactions on Systems and Control, ISSN / E-ISSN: 1991-8763 / 2224-2856, Volume 13, 2018, Art. #10