A Novel TVA-REPSO technique in solving generators sizing problems for south Sulawesi network

Jamian, J.J. and Mohd Zin, A.A. and Saini, M. and Mustafa, M.W. and Mokhlis, Hazlie (2013) A Novel TVA-REPSO technique in solving generators sizing problems for south Sulawesi network. Przegląd Elektrotechniczny, 89 (2 A). pp. 170-174. ISSN 00332097,

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Abstract

This paper present a novel optimization method, Time Varying Acceleration - Rank Evolutionary Particle Swarm Optimization (TVAREPSO) in solving optimum generator sizing for minimising power losses in the transmission system of South Sulawesi, Indonesia. A comparison between the proposed method and three other methods was done in order to find the best method to optimize the generators' output size. The results show that the TVA-REPSO algorithm can obtain the same performance as PSO but it only required shorter computing time and can converges faster than the original PSO.

Item Type:	Article
Funders:	UNSPECIFIED
Additional Information:	Export Date: 17 April 2013 Source: Scopus Language of Original Document: English; Polish Correspondence Address: Jamian, J. J.; Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 Johor Bharu, Johor, Malaysia; email: jasrul@fke.utm.my References: Martinez Ramos, J.L., Quintana, V.H., Transmission power loss reduction by interior-point methods implementation issues and practical experience (2005) IEE Proc.-Gener. Transm. Distrib., 152 (1), pp. 90-98; Narasimham, S.V.L., Ramalingaraju, M., Optimal capacitor placement in a radial distribution system using Plant Growth Simulation Algorithm (2011) Electrical Power and Energy Systems, 33, pp. 1133-1139; Abdullah, N.R.H., Musirin, I., Othman, M.M.B., Transmission loss minimization using evolutionary programming considering UPFC installation cost (2010) International Review of Electrical Engineering (IREE), 5 (3), pp. 1189-1203; Mohammad, K., Hossein, S., Tohid, B., Payam, F., Noradin, G., Solving Optimal Capacitor Allocation Problem using DE Algorithm in Practical Distribution Networks (2012) Przeglaogonekd Elektrotechniczny, 88 (7), pp. 90-93; Mishara, S., Reddy, G.D., Rao, P.E., Santosh, K., Implementation of New Evolutionary Technique for Transmission Loss Reduction (2007) IEEE Congress on Evolutionary Computation, pp. 2331-2336; Jangjit, S., Kumkratug, P., Laohachai, P., Reduction of Transmission line Loss by Using Interline Power Flow Controllers (2010) IEEE Electrical Engineering/Electronics Computer Telecommunications and Information Technology; Lee, S.J., Location of Superconducting Device in a Power Grid for System Loss Minimization using Loss Sensitivity (2007) IEEE Trans. On Applied Superconductivity, 17 (2), pp. 2351-2354. , Sensitivity; Zhu, J., Cheung, K., Hwang, D., Sadjadpour, A., Operation Strategy for Improving Voltage Profile and Reducing System Loss (2010) IEEE Transactions on Power Delivery, 25 (1), pp. 390-397; Rahli, M., Pirotte, P., Optimal load flow using sequential unconstrained minimization technique (SUMT) method under power transmission losses minimization (1999) Electric Power Systems Research, (52), pp. 61-64; Esmin, A.A., Torres, G.L., Souza, A.C.Z., A Hybrid Particle Swarm Optimization Applied to Loss Power Minimization (2005) IEEE Transactions On Power Systems, 20 (2), pp. 859-862; Ramana, N.V., Chandrasekar, K., Multi-Objective Genetic Algorithm to mitigate the Composite Problem of Total Transfe Capacity, Voltage Stability and Transmission Loss Minimization (2007) North American Power Symposium, pp. 644-649; Montoya, F.G., Ban, R., Gil, C., Esp, A., Alcayde, A., Gómez, J., Minimization of voltage deviation and power losses in power networks using Pareto optimization methods (2010) Engineering Applications of Artificial Intelligence, (23), pp. 695-703; Bagriyanik, F.G., Aygen, Z.E., Bagriyanik, M., Minimization of power transmission losses in series compensated systems using genetic algorithm (2011) International Review of Electrical Engineering (IREE), 6 (2), pp. 810-817; Kumar, M.S., Renuga, P., Application of bacterial foraging algorithm for enhancement of voltage stability using L-Index approach (2010) International Review of Electrical Engineering, 6 (2), pp. 922-928; de Souza, B.A., de Albuquerque, J.M.C., Optimal Placement of Distributed Generators Networks Using Evolutionary Programming (2006) IEEE CAPES (Brazilian Program for Graduate Personnel Improvement), pp. 1-6; Kamari, N.A.M., Musirin, I., Othman, M.M., Application of Evolutionary Programming in the Assessment of Dynamic Stability (2010) The 4th International Power Engineering and Optimization Conference, pp. 43-48; Hunt, J.E., Cooke, D.E., Learning Using an Artificial Immune System (1996) Journal of Network and Computer Application, 19, pp. 189-212; Medzhitov, R., Janeway, J., Innate Immunity The Virtues of a Non-clone System of Recognition (1997) Cell, (91), pp. 295-298; Hunt, J., Timmis, J., Cooke, D., Neal, M., King, C., The Development of an Artificial Immune System for Real World Applications (1998) In Artificial Immune System and Their Applications, pp. 157-186. , Springer-Verlag; Milanovi, J.V., Lu, J., Application Of Artificial Immune System For Detecting Overloaded Lines And Voltage Collapse Prone Buses In Distribution Network (2009) IEEE Bucharest Power Tech Conference, pp. 1-7; Kennedy, J., Eberhart, R.C., Particle Swarm Optimization (1995) IEEE International Conference on Neural Networks IV, 4, pp. 1942-1948. , Piscataway, NJ; Sumathi, S., Surekha, P., (2010) Computational Intelligence Paradigms Theory and Application Using Matlab, pp. 162-167. , CRC Press Taylor And Perancis Group
Uncontrolled Keywords:	Generators' optimal Output, Optimization Method, Power Loss Reduction, Voltage Stability Index.
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:	15 Jul 2013 00:54
Last Modified:	09 Oct 2019 09:28
URI:	http://eprints.um.edu.my/id/eprint/7794

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