Authors: V. Ravikumar Pandi, B.K. Panigrahi, Ankita Mohapatra, Manas Kumar Mallick
Addresses: Department of Electrical Engineering, IIT, Delhi – 110016, India. ' Department of Electrical Engineering, IIT, Delhi – 110016, India. ' Department of Electrical Engineering, College of Engineering and Technology, BPUT, Orissa – 751003, India. ' Department of Electrical Engineering, ITER, Siksha 'O' Anusandhan University, Bhubaneswar, Orissa, India
Abstract: This paper presents a new evolutionary optimisation algorithm to solve economic load dispatch (ELD) problem with operational constraints using the improved harmony search algorithm. Harmony search algorithm is a recently developed derivative-free, meta-heuristic optimisation algorithm, which draws inspiration from the musical process of searching for a perfect state of harmony. In this paper we replace the random selection process in the classical harmony search method by wavelet theory based mutation process to improve the performance of the algorithm. The proposed methodology easily takes care of solving non-convex ELD problems along with different constraints like power balance, ramp rate limits of the generators and prohibited operating zones. Simulations were performed over various standard test systems with different number of generating units and a comparative study is carried out with other existing relevant approaches. The results obtained reveal the robustness and ability of the proposed methodology over other existing techniques.
Keywords: harmony search; wavelet mutation; economic load dispatch; ELD: prohibited operating zones; power balance; ramp rate limits; transmission loss; valve point loading; evolutionary algorithms; optimisation; metaheuristics.
International Journal of Computational Science and Engineering, 2011 Vol.6 No.1/2, pp.122 - 131
Published online: 13 Jul 2011 *Full-text access for editors Access for subscribers Purchase this article Comment on this article