Particle Swarm Optimization techniques for optimal location and sizing of thyristor controlled series capacitor

Jumaat, S.A. and Musirin, I. and Othman, M.M. and Mokhlis, Hazlie (2012) Particle Swarm Optimization techniques for optimal location and sizing of thyristor controlled series capacitor. In: 2012 International Conference on Innovation, Management and Technology Research, ICIMTR 2012, 2012, Malacca.

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Abstract

One of the disturbances experienced by the power system is increase in loading condition, which often led the system to no longer remains in secure operating region. When the power system is exposed to any kind of time delay and inaccessibility of control scheme, system may become inconsistent leading to uncontrolled condition. Under this condition, the main purpose of the operator is to execute control actions to get the system back into the secure operating regions. Flexible AC transmission system (FACTS) device is one of the devices, which can be inserting to control power system stability improvement. This paper describes the optimal placement and sizing of TCSC using on Particle Swarm Optimization (PSO) method. The objective function for this study is to minimize the transmission loss, increase the voltage profile, while considering the cost of installation. Effect of weight coefficient and effect of population size during the optimization process towards obtaining the solution is also explored. To validate the proposed techniques, simulations are performed on an IEEE 30-bus system.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Conference code: 91735 Export Date: 17 April 2013 Source: Scopus Art. No.: 6236474 :doi 10.1109/ICIMTR.2012.6236474 Language of Original Document: English Correspondence Address: Jumaat, S.A.; Faculty of Electrical and Electronics Engineering, Universiti Tun Hussein Onn Malaysia, 86400 Parit Raja, Batu Pahat, Johor, Malaysia; email: sitiamely1979@gmail.com References: Rashed, G.I., Shaheen, H.I., Duan, X.Z., Cheng, S.J., Evolutionary Optimization Technique for Optimal Location and Parameter Setting of TCSC under Single Line Contingency (2008) Applied Mathematics and Computation, 205, pp. 133-147; Hingori, N.G., Gyugy, L., (2000) Understanding FACTS Concepts and Technology of Flexible AC Transmission Systems, , IEEE Press; Lee, K.Y., Yang, F.F., Optimal Reactive Power Planning using Evolutionary Algorithms: A Comparative Study for Evolutionary Programming, Evolutionary Strategy, Genetic Algorithm, and Linear Programming (1998) IEEE Transactions on Power System, 13 (1), pp. 101-108; Song, Y.H., John, A.T., Flexible Transmission System (FACTS) (1999) IEE Power and Energy Series, 30; Saravanan, M., Slochanal, S.M.R., Venkatesh, P., Abraham, P.S., Applications of PSO Technique for Optimal Location of FACTS Devices Considering System Loadability and Cost of Installation (2005) Proc 2005 7th International Power Engineering Conference (IPEC), 2, pp. 716-721; Towari, P.K., Sood, T.R., Optimal Location of FACTS Devices in Power System Using Genetic Algorithm Proc. IEEE World Congress on Nature and Biologically Inspired Computing (NaBIC 2009), 2009; Pezzini, P., Bellmunt, O.G., Andrue, A.S., Optimization Techniques to improve energy efficiency in power system International Journal Renewable and Sustainable Energy 2011, pp. 2028-2041; Auchariyamet, S., Sirismrannukul, S., Optimal Reactive Power Planning with FACTS Devices by Particle Swarm Optimization (2009) Proc. 8 th International Conference on Advances in Power System Control, Operation and Management (APSCOM 2009), 2009, pp. 1-6; Saravanan, M., Slochanal, S.M.R., Venkatesh, P., Abraham, P.S., Applications of PSO Technique for Optimal Location of FACTS Devices Considering System Load ability and Cost of Installation (2005) Proc 2005 7th International Power Engineering Conference (IPEC), 2, pp. 716-721; Rashed, G.I., Shaheen, H.I., Cheng, S.J., Optimal Locations and Parameters Settings of Multiple TSCSs for Increasing Power System Loadability Based on GA and PSO techniques Proc 2007 Third IEEE International Conference on Natural Computation (ICNC 2007), 2007; AlRashid, M.R., El-Hawary, M.E., Applications of computational intelligence techniques for solving the revived optimal power flow problem (2009) Electric Power Systems Research, 79, pp. 694-702; Sundareswaran, K., Hariharan, B., Parasseri, F.P., Antony, D.S., Subair, B., Optimal Placement of Static Var Compensators (SVC's) Using Particle Swarm Optimization (2010) Proc 2010, International Conference on Power, Control and Embedded Systems (ICPCES), 2010, pp. 1-4; Auchariyamet, S., Sirismrannukul, S., Optimal Reactive Power Planning with FACTS Devices by Particle Swarm Optimization (2009) Proc. 8 th International Conference on Advances in Power System Control, Operation and Management (APSCOM 2009), 2009, pp. 1-6; Abdullah, N.R.H., Musirin, I., Othman, M.M., Static VAR Compensator for Minimizing Transmission Loss and Installation Cost Calculation (2010) Australian Journal of Basic and Applied Sciences, 4 (4), pp. 646-657
Uncontrolled Keywords: Cost of installation; FACTS device; Particle Swarm Optimization; Thyristor controlled series compensator; Transmission loss; Control actions; Control schemes; Facts devices; Flexible AC transmission system; Loading condition; Objective functions; Operating regions; Optimal locations; Optimal placements; Optimization process; Particle swarm optimization technique; Population sizes; Power system stability; Thyristor controlled series capacitor; Voltage profile; Weight coefficients; Delay control systems; Electric switchgear; Population statistics; Power electronics; System stability; Wave transmission; Particle swarm optimization (PSO)
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: 10 Jul 2013 08:36
Last Modified: 09 Oct 2019 09:00
URI: http://eprints.um.edu.my/id/eprint/7830

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