Efficient evolutionary particle swarm optimization approach for nonconvex economic load dispatch problem

Abdullah, M.N. and Rahim, N.A. and Bakar, A.H.A. and Mokhlis, H. and Illias, H.A. and Jamian, J.J. (2013) Efficient evolutionary particle swarm optimization approach for nonconvex economic load dispatch problem. Przeglad Elektrotechniczny, 89 (2 A). pp. 139-143. ISSN 00332097

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Abstract

The main objective of economic load dispatch (ELD) is to allocate the output power generator at minimum cost while satisfying all the operation constraints. This paper presents a new hybrid method by integrating particle swarm optimization with time varying acceleration coefficients and evolutionary programming (TVAC-EPSO) for solving nonconvex ELD problem. The competition, sorting and selection in EP method are used to determine the best particle in PSO for finding the optimum solution efficiently. The proposed TVAC-EPSO has been tested on three different power system benchmarks. The simulation results have demonstrated the effectiveness of the proposed method in solving nonconvex ELD problem.

Item Type: Article
Additional Information: Export Date: 17 April 2013 Source: Scopus Language of Original Document: English; Polish Correspondence Address: Abdullah, M. N.; Faculty of Electrical and Electronic Engineering, Universiti Tunn Hussien Onn Malaysia, 86400 Batu Pahat, Johor, Malaysia; email: mnoor@uthm.edu.my References: Chowdhury, B.H., Rahman, S., A review of recent advances in economic dispatcht (1990) IEEE Transactions on Power Systems, 5, pp. 1248-1259; Mahor, A., Prasad, V., Rangnekar, S., Economic dispatch using particle swarm optimization: A review (2009) Renewable and Sustainable Energy Reviews, 13, pp. 2134-2141; Safari, A., Shayeghi, H., Iteration particle swarm optimization procedure for economic load dispatch with generator constraints (2011) Expert Systems with Applications, 38, pp. 6043-6048; Chaturvedi, K.T., Pandit, M., Srivastava, L., Self-Organizing Hierarchical Particle Swarm Optimization for Nonconvex Economic Dispatch (2008) IEEE Transactions on Power Systems, 23, pp. 1079-1087; Subbaraj, P., Rengaraj, R., Salivahanan, S., Senthilkumar, T.R., Parallel particle swarm optimization with modified stochastic acceleration factors for solving large scale economic dispatch problem (2010) International Journal of Electrical Power and Energy Systems, 32, pp. 1014-1023; Younes, M., Benhamida, F., Genetic Algorithm-Particle Srawrm Optimization (GA-PSO) for Economic Load Dispatch (2011) Przeglad Elektrotechniczny, p. 4; Cai, J., Li, Q., Li, L., Peng, H., Yang, Y., A hybrid CPSO-SQP method for economic dispatch considering the valve-point effects (2012) Energy Conversion and Management, 53, pp. 175-181; Kennedy, J., Eberhart, R., Particle swarm optimization (1995) IEEE International Conference on in Neural Networks, 4, pp. 1942-1948; Jong-Bae, P., Ki-Song, L., Joong-Rin, S., Lee, K.Y., A particle swarm optimization for economic dispatch with nonsmooth cost functions (2005) IEEE Transactions on Power Systems, 20, pp. 34-42; Angeline, P.J., Using selection to improve particle swarm optimization (1998) IEEE International Conference on Evolutionary Computation, pp. 84-89; Jamian, J.J., Mustafa, M.W., Mokhlis, H., Abdullah, M.N., Comparative Study on Distributed Generator Sizing Using Three Types of Particle Swarm Optimization (2012) 2012 Third International Conference on Intelligent Systems, Modelling and Simulation (ISMS), pp. 131-136; Ratnaweera, A., Halgamuge, S.K., Watson, H.C., Selforganizing hierarchical particle swarm optimizer with timevarying acceleration coefficients (2004) IEEE Transactions on Evolutionary Computation, 8, pp. 240-255; Sinha, N., Chakrabarti, R., Chattopadhyay, P.K., Evolutionary programming techniques for economic load dispatch (2003) IEEE Transactions on Evolutionary Computation, 7, pp. 83-94; Victoire, T.A.A., Jeyakumar, A.E., Hybrid PSO-SQP for economic dispatch with valve-point effect (2004) Electric Power Systems Research, 71, pp. 51-59; Zwe-Lee, G., Particle swarm optimization to solving the economic dispatch considering the generator constraints (2003) IEEE Transactions on Power Systems, 18, pp. 1187-1195; Selvakumar, A.I., Thanushkodi, K., A New Particle Swarm Optimization Solution to Nonconvex Economic Dispatch Problems (2007) IEEE Transactions on Power Systems, 22, pp. 42-51; Ciornei, I., Kyriakides, E., A GA-API Solution for the Economic Dispatch of Generation in Power System Operation (2012) IEEE Transactions on Power Systems, 27, pp. 233-242
Uncontrolled Keywords: Economic load dispatch; Evolutionary programming; Particle Swarm Optimization, Time varying acceleration coefficients
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering
Depositing User: Mr Jenal S
Date Deposited: 11 Jul 2013 05:28
Last Modified: 13 Nov 2017 08:14
URI: http://eprints.um.edu.my/id/eprint/7803

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