Title: A comparative study on particle swarm optimisation algorithms for economic dispatch with multiple fuels
Authors: Pichet Sriyanyong
Addresses: Department of Teacher Training in Electrical Engineering, Faculty of Technical Education, Thai-French Innovation Institute, King Mongkut's University of Technology North Bangkok, 1518 Pibulsongkram Rd., Bangsue, Bangkok, 10800, Thailand
Abstract: Economic dispatch (ED) is one of the essential functions in the operational planning of power systems that is to determine the optimum scheduling of generation at a particular time that minimises the total production cost while satisfying the operating constraints. A number of computation techniques have progressively been proposed to solve this important issue. One of them is a particle swarm optimisation (PSO), which belongs to the evolutionary computation techniques, and shows superiority to other evolutionary computation techniques in terms of less computation time, easy implementation with high quality solution, stable convergence characteristic and independent from initialisation. Accordingly, this paper presents the three traditional PSO algorithms to solve the ED problem with smooth cost function and multiple fuels. Furthermore, the comparative study on the three PSO algorithms have been implemented so as to investigate the ability among the PSO algorithms in terms of solution quality, frequency of convergence, convergence characteristic, as well as diversity characteristic. The simulation results are also compared with those obtained by the state-of-the-art algorithms.
Keywords: economic dispatch; particle swarm optimisation; PSO; multiple fuels; operational planning; power systems; scheduling; power generation.
International Journal of Computer Aided Engineering and Technology, 2012 Vol.4 No.6, pp.535 - 556
Published online: 16 Aug 2014 *Full-text access for editors Access for subscribers Purchase this article Comment on this article