A Genetic Based Algorithm for Intentional Islanding of Distribution Network to Maximize Social Welfare
An electricity distribution system is a vital part of a total electric power supply system, since it is a link between a bulk transmission system and customers. It has been estimated that 80% of supply interruptions faced by customers are due to failures that occur in the distribution network. To secure more costumers with increasing competition, the energy supply companies are now increasingly under pressure to maintain a high degree of uninterrupted power supply quality and reliability. Therefore a practice of disconnecting all distributed generation units once a fault occurs is not a practical solution in a deregulated electricity market environment since it relies on power outage. Operation of safe intentional islanding would be viable solution. The aim of this paper is to present a genetic-based coordinated methodology for islanding operation and management of active and reactive powers in a distribution network after occurrence of a fault with regard to cost related to active and reactive powers generation of distributed generations, price of energy purchasing from a retail market, and loads interruption cost. Since optimal operation and islands configuration of a distribution network is a complicated and discrete problem, the genetic algorithm has been used for implementation and solving of the proposed algorithm. Simulations have been applied on 33-bus IEEE test system in three scenarios according to faulty branches and DGs penetration rate.
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T. Ackermann, G. Andersson, L. Söder, Electricity market regulations and their impact on distributed generation, in Proc. Conf, Electric Utility Deregulation and Restructuring and Power Technologies 2000, Apr. 4–7 2000, pp. 608–613, London, U.K.
J-H. Choi, J-C Kim, S-I. Moon, Integration Operation of Dispersed Generations to Automated Distribution Network for Network Reconfiguration, in Proc. Conf, Power Technologies Conference 2003, June. 23-26, 2003, Bologna, Italy.
D. S. Kirschen, Demand-side view of electricity markets, IEEE Trans Power System, vol. 18, 2003, pp. 520–527.
S. Brasali, M. Pelacchi, D. Poli, Control techniques of dispersed generators to improve the continuity of electricity supply, Proc. of IEEE Power Engineering Society Winter Meeting, Vol. 2, Jan. 2002, pp. 789-794.
N. Hadjsaid, J. F. Canard, F. Dumas, Dispersed generation impact on distribution network, IEEE Comput. Appl. Power., Vol. 12, 1999, pp. 22-28.
R. C. Dugan, T. F. McDermott, G. J. Ball, Planning for distributed generation, IEEE Ind. Mag., Vol. 7, 2001, pp. 80-88.
S. Shahnawaz, N. C. Sarker, A. B. Khairuddin, M. Ruddin, H. Ahmad, A scheme for controlled islanding to prevent subsequent blackout, IEEE Trans. on Power Sys., Vol. 18, 2003, pp 136-143.
M. Bollen, Y. Sun, G. Ault, Reliability of distribution networks with DER including intentional islanding, International Con. on Feuture Power System, Nov. 2005, pp. 6-12, Amsterdam.
E. Carpaneto, G. Chicco, A. Prunotto, Reliability of Reconfigurable Systems Including Distributed Generation, 9th International Conf. on Probabilistic Method Applied to Power Systems, June 2006, pp. 1-6, Stockholm.
P. Fuangfoo, T. Meenual, W. J. Lee, C. C. Inwai, PEA Guidelines for Impact Study and Operation of DG for Islanding Operation, IEEE Trans. On Industry Applications, Vol. 44, Issue 5, 2008, pp. 1348-1353.
W. Limpananwadi, B. Thongwan, Intentional Islanding of Distribution Network, 19th International Conf. on Electricity Distribution, Paper No. 780, May 2007, Vienna.
H. H. Zeineldin, K. Bhattacharya, E. F. El-Saadany, M. M. A. Salama, Impact of intentional islanding of distributed generation on electricity market price, IEE Proc. of Generation Transmission and Distribution, Vol. 153, No. 2, March 2006, pp. 147-154.
A. Melin, H. Back, Search for Minimum Loss operating Spanning Tree Configuration for on Urban Power Distribution System, Proc. of PSCC, 1975, Cambridge.
S. Civanlar, J. J. Grainger, H. Yin, S. S. H. Lee, Distribution Feeder reconfiguration for Loss Reduction, IEEE Trans. On Power Delivery, Vol. 3, July 1988.
T. P. Wagner, A. Y. Chikhani, R. Hackman, Feeder Reconfiguration for Loss Reconfiguration: An Application of Distribution Automation, IEEE Trans. on Power Delivery, Vol. 6, No. 4, Oct. 1991.
D. Shirmohammadi, H. Waye, Reconfiguration of Electric Distribution Network for Resistive Line Losses Reduction, IEEE Trans. on Power Delivery, Vol.4, No.2, Apr. 1989.
V. Glamocanin, Optimal Loss Reduction of Distribution Networks, IEEE Trans. on Power System, Vol. 5, No. 5, Aug. 1990.
T. E. Mcdermott, I. Drezgo, R. P. Broadwater, A Heuristic Nonlinear Constructive Method for Distribution System Reconfiguration, IEEE Trans. on Power Delivery, Vol. 14, No. 2, May 1999.
M. H. Haque, Improvement of Power Delivery Efficiency of Distribution System Through Loss Reduction, IEEE Proc. Gener. Trans. Distrib., Vol. 146, No. 5, 1999.
Whei Min Lin, Hong Chan Chin, A New Approach for Distribution Feeder Reconfiguration for Loss Reduction and Service Restoration, IEEE Trans. on Power Delivery, Vol. 13, No. 3, July 1998.
Whei Min Lin, Hong Chan Chin, Gyne Jong Yu, An Effective for Distribution Feeder Loss Reduction by Switching Operation, IEEE Trans. on Power Delivery, Vol. 8, No. 3, 1999.
Hong Chan Chin, K. H. Huang, A Simple Distribution Reconfiguration Algorithm for Loss Minimization, IEEE Trans. on PWRD, Vol. 4, No. 2, 2000.
R. Irving, W. P. Luan, J. S. Daniel, Supply restoration in distribution networks using a genetic algorithm, Electrical Power and Energy Systems., vol. 24, 2002, pp. 447-457.
S. N. Sivanandam, S. N. Deepa, Introduction to Genetic Algorithms (Springer-Verlag Berlin Heidelberg, 2008).
J. Z. Zhu, Optimal reconfiguration of electrical distribution network using the refined genetic algorithm, Electric Power System Research, vol. 62, 2002, pp. 37-42.
Roy Bilinton, Roland Nallan, Reliability Evaluation of Power Systems (Plenum Press, New York and London, 1996).
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