Hybrid Artificial Bee Colony algorithm and simulated annealing algorithm for combined economic and emission dispatch including valve point effect

Arunachalam, Sundaram; Saranya, R.; Sangeetha, N.

Abstract

For economic and efficient operation of power system optimal scheduling of generators in order to minimize fuel cost of generating units and its emission is a major consideration. This paper presents hybrid approach of using Artificial Bee Colony (ABC) and Simulated Annealing (SA) algorithm to solve highly constrained non-linear multi–objective Combined Economic and Emission Dispatch (CEED) having conflicting economic and emission objective. The mathematical formulation of multi objective CEED problem with valve point is formulated and then converted into single objective problem using price penalty factor approach. Performance of proposed hybrid algorithm is validated with IEEE 30 bus six generator systems and a 10 generating unit system. Programming is developed using MATLAB. The results obtained and computational time of proposed method is compared with ABC and SA algorithm. Numerical results indicates proposed algorithm is able to provide better solution with reasonable computational time.

• Presentation Conference Type: Conference Paper (published)
• Conference Name: Swarm, Evolutionary, and Memetic Computing. SEMCCO 2013
• Start Date: Dec 19, 2013
• Publication Date: 2013
• Deposit Date: Jul 27, 2024
• Publisher: Springer
• Volume: 8297
• Series Title: Lecture Notes in Computer Science
• Book Title: Lecture Notes in Computer Science
• ISBN: 978-3-319-03752-3
• DOI: https://doi.org/10.1007/978-3-319-03753-0_32