Title: Particle swarm optimisation-based fuzzy satisfying method for economic environmental dispatch of hydrothermal power systems

Authors: K.K. Mandal, M. Basu, Niladri Chakraborty

Addresses: Department of Power Engineering, Jadavpur University, Salt Lake Campus, Salt Lake, Sector III, Kolkata 700098, India. ' Department of Power Engineering, Jadavpur University, Salt Lake Campus, Salt Lake, Sector III, Kolkata 700098, India. ' Department of Power Engineering, Jadavpur University, Salt Lake Campus, Salt Lake, Sector III, Kolkata 700098, India

Abstract: A Particle Swarm Optimisation (PSO) based fuzzy satisfying method has been proposed to determine the optimal non-inferior hourly generation schedule of economic environmental dispatch of hydrothermal power system, consisting of multi-reservoir cascaded hydro plant with time delay and thermal plants with non smooth fuel cost and emission-level functions. This paper treats economy and emission as competing objectives for optimal dispatch, which requires some form of conflict resolution to arrive at a solution. The multiobjective problem is configured as a minimax problem under the assumption that the Decision-Maker (DM) has fuzzy goals for each of the objective functions. The present algorithm shows the suitability of employing the PSO method, a recently proposed combinatorial optimisation technique, in solving this problem. This random search based technique has been recently effectively employed in several application domains. The solution methodology can offer a global or near-global non-inferior solution for the DM. Numerical results for a sample test system have been presented to demonstrate the performance and applicability of the proposed method.

Keywords: cascaded reservoirs; hydrothermal scheduling; interactive FSM; interactive fuzzy satisfying; PSO; particle swarm optimisation; hydrothermal power systems; hydrothermal energy; air pollution; emissions; economic dispatch; environmental pollution.

DOI: 10.1504/IJAAC.2009.025243

International Journal of Automation and Control, 2009 Vol.3 No.2/3, pp.216 - 229

Available online: 17 May 2009 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article