Optimal Placement of SVC for Losses Reduction and Voltage Profile Improvement in Electrical Power System Using Improved Gravitational Search Algorithm


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Abstract


The development of the more increasing power electronics allows the use of FACTS devices to manage and improve either the flow of power or the stability of the power system. One type of FACTS device studied is the SVC. In this study, optimization of SVC is used to determine the most appropriate location and rating in order to obtain the optimum power transfer. Optimization methods used in this study is Improved Gravitational Search Algorithm (IGSA). Improved GSA uses Interval Type-2 Fuzzy Logic System (IT2FLS). IGSA implementation uses Java-Bali power system 500 kV. Simulation results show that the simulation results better with the use of SVC placement than with the GSA and without SVC placement. Placement of SVC with the right location and rating using the IGSA and GSA can reduce power loss in the transmission line and also can improve the voltage profile according to the standards set, in the range of 0.95 ± 1.05pu when compared without SVC
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Keywords


FACTS Device; Static Var Compensator; Gravitational Search Algorithm; Improved Gravitational Search Algorithm

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References


Hadi Saadat, Power System Analysis, Mc.Graw Hill Companies, Singapore, 2004.

Imam Robandi, Modern Power System Design, Andi, Yogyakarta, 2006 (Indonesian language).

Umar, Adi Soeprijanto, Mauridhi Hery Purnomo, Placement Optimization of Multi Facts Devices In South Sulawesi Electrical System Using Genetic Algorithm, National Seminar on Information Technology Applications, Yogyakarta, 2008, ISSN: 1907-5022 (Indonesian language).

L.J. Cai, I. Erlich, Optimal Choice and Allocation of FACTS devices using Genetic Algorithms, Proc. on Twelfth Intelligent Systems Application to Power Systems Conference, 2003, pp. 1- 6.

Pisica, C. Bulac, L. Toma, M. Eremia, Optimal SVC Placement in Electric Power Systems Using a Genetic Algorithms Based Method, Paper accepted for presentation at 2009 IEEE Bucharest Power Tech Conference, June 28th - July 2nd, Bucharest, Romania.

B. Bhattacharyya, B.S.K. Goswami, Optimal Placement of Facts Devices Genetic Algorithm for the Increased Load ability of a Power System, Warld Academy of Science, Engineering and Technology, 2011.

Rony Seto Wibowo, Naoto Yorino, Mehdi Eghbal, Yosshifumi Zoka, Yutaka Sasaki, Facts Devices allocation With Control Coordination Considering Congestion Relief and Voltage Stability, IEEE Transactions on power systems, 2011.

Siti Amely Jumaat, Ismail Musirin, Muhammad Mutadha Othman,dan Hazlie Mokhlis, Optimal Location and Sizing of SVC Using Particle Swarm Optimization Technique, First International Conference on Informatics and Computational Intelligence (ICI), December 12th-14th, 2011, Indexed by IEEE Xplore, Organized by Parahyangan Catholic University, Bandung, Indonesia.

Reza Sirjani dan Azah Mohamed, Improved Harmony Search Algorithm for Optimal Placement and Sizing of Static Var Compensators in Power Systems, First International Conference on Informatics and Computational Intelligence (ICI), December 12th-14th, 2011, Indexed by IEEE Xplore, Organized by Parahyangan Catholic University, Bandung, Indonesia.

Kazemi, A. Parizad, H.R. Baghaee, On the Use of Harmony Search Algorithm in Optimal Placement of FACTS Devices to Improve Power System Security, IEEE, 2009, 978-1-4244-3861-7/09/$25.00.

Sridevi, J., Amarnath, J., Govinda Rao, G., Comparison of voltage stability by optimal location of TCSC and SVC using loss sensitivity method under line outages, (2011) International Review on Modelling and Simulations (IREMOS), 4 (5), pp. 2485-2493.

Hemeida, A.M., Mobarak, Y.A., Mousa, M.R., Power systems stabilization using svc and statcom, (2010) International Review on Modelling and Simulations (IREMOS), 3 (5), pp. 900-910.

E. Rashedi, H. Nezamabadi-pour, S. Saryazdi, GSA: A gravitational search algorithm, Information Sciences, vol. 179, 2009, pp. 2232-2248.

Budi Santosa dan Paul Willy, Metaheuristics Method Concepts and Implementation, Guna Widya Publishers, 2011, ISBN: 979545049-2 (Indonesian language).

Adi Soeprijanto and Muhammad Abdillah, Type 2 Fuzzy Adaptive Binary Particle Swarm Optimization for Optimal Placement and Sizing of Distributed Generation, Instrumentation, Communications, Information Technology, and Biomedical Engineering (ICICI-BME), 2nd International Conference on, 2011, Indexed by IEEE Xplore , Bandung, Indonesia.

Esmat Rashedi , Hossien Nezamabadi-pour, Saeid Saryazdi, Malihe M. Farsangi, Allocation of Static Var Compensator Usin Gravitational Search Algorithm, First Joint Congress on Fuzzy and Intelligent Systems, 2007, pp. 29-31, Ferdowsi University of Mashhad, Iran.

Duman, S., Güvenç, U., Yörükeren, N., Gravitational search algorithm for economic dispatch with valve-point effects, (2010) International Review of Electrical Engineering, 5 (6), pp. 2890-2895.

Maskani, H., Ashouri, M., Bakhshideh Zad, B., Falaghi, H., Ramezani, M., Gravitational search algorithm optimization for dynamic economic load dispatch with valve-point effects, (2012) International Review on Modelling and Simulations, 5 (1), pp. 40-51.

Serhat Duman, Yusuf Sonmez, Ugur Guvenc, dan Nuran Yorukeren, Application of Gravitational Search Algorithm for Optimal Reactive Power Dispatch Problem, IEEE, 2011.

Purwoharjono, Ontoseno Penangsang, Muhammad Abdillah, Adi Soeprijanto, Voltage Control on Java-Bali 500kV Electrical Power System for Reducing Power Losses Using Gravitational Search Algorithm, Proceeding of the 1st International Conference on Informatics and Compu¬tational Intelligence (ICI), December 12th-14th, 2011, pp.11-17, Indexed by IEEE Xplore, Organized by Parahyangan Catholic University, Bandung, Indonesia.

Purwoharjono, Muhammad Abdillah, Ontoseno Penangsang, Adi Soeprijanto, Optimal Placement and Sizing of TCSC Using Gravitational Search Algorithm, Indonesian Journal of Electrical Engineering, TELKOMNIKA (Telecommunication, Computing, Electronics and Control), Vol. 10 No. 4, December 2012, pp. 683-694, ISSN: 1693-6930, Published by Ahmad Dahlan University, Indonesia.

Purwoharjono, Muhammad Abdillah, Ontoseno Penangsang, Adi Soeprijanto, Optimal Placement of TCSC Using Linear Decreasing Inertia Weight Gravitational Search Algorithm, Journal of Theoretical and Applied Information Technology, Vol. 47 No. 2, 20th January 2013, Pakistan.

Ch. Rambabu, Y. P. Obulesh, Ch. SaiBabu, Enhancement of Transient Stability Limit Using Fuzzy Controlled TCSC, International Review of Electrical Engineering (IREE), Vol. 5 N. 4, August 2012 (Part B), pp. 1701-1709.

Rambabu, C., Obulesh, Y.P., Saibabu, C., Enhancement of transient stability limit using fuzzy controlled TCSC, (2012) International Review on Modelling and Simulations (IREMOS), 5 (4), pp. 1652-1663.

Purwoharjono, Muhammad Abdillah, Ontoseno Penangsang, Adi Soeprijanto, Optimal Design of TCPST Using Gravitational Search Algorithm, International Conference on Intelligence System and Informatics (ISI), November 19th - 21nd, 2012, Indexed by IEEE Xplore, Organized by Parahyangan Catholic University, Bandung, Indonesia.


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