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dc.contributor.authorUlinuha, Agus
dc.contributor.authorAsy’ari, Hasyim
dc.contributor.authorSupardi, Agus
dc.date.accessioned2014-12-02T08:04:08Z
dc.date.available2014-12-02T08:04:08Z
dc.date.issued2014-12-04
dc.identifier.citation[1] M. A. Abido and J. M. Bakhashwain, "Optimal VAR dispatch using a multiobjective evolutionary algorithm," International Journal of Electrical Power & Energy Systems, vol. 27, pp. 13-20, 2005/1 2005. [2] J. Y. Park, S. R. Nam, and J. K. Park, "Control of a ULTC Considering the Dispatch Schedule of Capacitors in a Distribution System," IEEE Transactions on Power Systems, vol. 22, pp. 755-761, 2007. [3] A. Ulinuha, M. A. S. Masoum, and S. M. Islam, "Optimal Scheduling of LTC and Shunt Capacitors in Large Distorted Distribution Systems using Evolutionary-Based Algorithms," IEEE Transactions on Power Delivery, vol. 23, pp. 434 - 441, 2008. [4] S. Auchariyamet and S. Sirisumrannukul, "Optimal dispatch of ULTC and capacitors for volt/VAr control in distribution system with harmonic consideration by particle swarm approach," in International Conference on Sustainable Power Generation and Supply, SUPERGEN '09 2009, pp. 1-7. [5] Z. Hu, X. Wang, H. Chen, and G. A. Taylor, "Volt/VAr control in distribution systems using a time-interval based approach," IEE Proceedings-Generation, Transmission and Distribution, vol. 150, pp. 548-554, 2003. [6] A.Ulinuha, M. A. S. Masoum, and S. M. Islam, "Unbalance Power Flow Calculation for Radial Distribution System Using Forward- Backward Propagation Algorithm," in Australasian Universities Power Engineering Conference (AUPEC), Perth, Australia, 2007. [7] W.-M. Lin and J.-H. Teng, "Three-phase distribution network fastdecoupled power flow solutions," International Journal of Electrical Power & Energy Systems, vol. 22, pp. 375-380, 2000. [8] W. H. Kersting and W. H. Phillips, "Distribution feeder line models," IEEE Transactions on Industry Applications, vol. 31, pp. 715-720, 1995. [9] J. C. M. Vieira, Jr., W. Freitas, and A. Morelato, "Phase-decoupled method for three-phase power-flow analysis of unbalanced distribution systems," IEE Proceedings-Generation, Transmission and Distribution, vol. 151, pp. 568-574, 2004. [10] Y. Deng, X. Ren, C. Zhao, and D. Zhao, "A heuristic and algorithmic combined approach for reactive power optimization with time-varying load demand in distribution systems," IEEE Transactions on Power Systems, vol. 17, pp. 1068-1072, 2002. [11] A. Ulinuha, M. A. S. Masoum, and S. M. Islam, "Optimal Dispatch of LTC and Shunt Capacitors in the Presence of Harmonics using Genetic Algorithms," in Power Systems Conference and Exposition (PSCE) - IEEE, Atlanta, Georgia, USA, 2006, pp. 733-740. [12] A. L. Shenkman, "Energy loss computation by using statistical techniques," IEEE Transactions on Power Delivery, vol. 5, pp. 254- 258, 1990. [13] N. Amjady, "Short-Term Bus Load Forecasting of Power Systems by a New Hybrid Method," IEEE Transactions on Power Systems, vol. 22, pp. 333-341, 2007. [14] N. Kandil, R. Wamkeue, M. Saad, and S. Georges, "An efficient approach for short term load forecasting using artificial neural networks," International Journal of Electrical Power & Energy Systems, vol. 28, pp. 525-530, 2006. [15] S. Chenthur Pandian, K. Duraiswamy, C. Christober Asir Rajan, and N. Kanagaraj, "Fuzzy approach for short term load forecasting," Electric Power Systems Research, vol. 76, pp. 541-548, 2006. [16] A. Trebi-Ollennu and B. A. White, "Multiobjective fuzzy genetic algorithm optimisation approach to nonlinear control system design," in Control Theory and Applications Conference, 1997, pp. 137 - 142. [17] A.Ulinuha, M. A. S. Masoum, and S. M. Islam, "A Hybrid GA-Fuzzy Algorithm for Optimal Dispatch of LTC and Shunt Capacitors in Distribution System," in Australasian Universities Power Engineering Conference (AUPEC), Melbourne, Australia, 2006. [18] F.-C. Lu and Y.-Y. Hsu, "Fuzzy dynamic programming approach to reactive power/voltage control in a distribution substation," IEEE Transactions on Power Systems, vol. 12, pp. 681-688, 1997. [19] Z. Michalewics, Genetic Algorithms + Data Structures = Evolution Program 3ed. New York: Springer-Verlag Berlin Heidelberg, 1996.en_US
dc.identifier.issn2407-4330
dc.identifier.urihttp://hdl.handle.net/11617/4963
dc.description.abstractThe unbalanced conditions are taken into account in the Volt/VAr control of distribution system. The aim of the control is to simultaneously minimize energy loss and improve voltage profile. The optimization may be achieved by optimal dispatch of Load Tap Changer (LTC) and shunt capacitors considering system unbalanced. A Genetic Algorithm (GA) is developed to determine the load curve division useful for effective LTC scheduling and switching constraint satisfaction. GA is also appointed for the dispatch due to the ability of simultaneously scheduling the devices and checking the fulfillment of switching constraints prior to performing calculations. The algorithm is further enhanced by including fuzzy approach into the existing GA procedure. For power flow analyses under unbalanced conditions, Forward/Backward Propagation Algorithm is developed. The optimization is implemented on the IEEE 34-bus unbalanced distribution system. The advantages of fuzzy inclusion are highlighted. The main contribution is inclusion of unbalanced system conditions into the optimal dispatch problem.en_US
dc.publisherUniversitas Muhammadiyah Surakartaen_US
dc.subjectForward/Backward Algorithmen_US
dc.subjectFuzzy procedureen_US
dc.subjectGenetic Agorithmen_US
dc.subjectLTCen_US
dc.subjectoptimal dispatchen_US
dc.subjectshunt capacitorsen_US
dc.subjectunbalanced conditionsen_US
dc.subjectvolt/VAr controlen_US
dc.titleApplication of Genetic Algorithms and Hybrid Fuzzy-Genetic Algorithm for Optimal Control of LTC and Shunt Capacitor on Unbalanced Distribution Systemen_US
dc.typeArticleen_US


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