Genetic Based Distribution Service Restoration with Minimum Average Energy Not Supplied
This paper presents optimal planning of tie-switch operation in an electric power distribution system under an emergency feed condition, i.e. operation during a post-fault condition. A heuristic fault isolation algorithm and a genetic-based service restoration algorithm are proposed and compared. With the proposed restoration algorithm, high reliable service of electric distribution systems is expected. To ensure a small number of customer interruption, average energy not supplied (AENS) is used as the objective function to be minimized. 25-node and 118-node distribution test feeders were employed for test. Satisfactory results show that the genetic approach is appropriate to a kind of tie-switch operation planning in order to minimize effects of a permanent fault on customer service interruption.
KeywordsFaulty Node Protective Relay Restoration Algorithm Test Feeder Genetic Algorithm Process
Unable to display preview. Download preview PDF.
- 1.Blackburn, J.L.: Protective Relaying. Marcel Dekker, New York (1987)Google Scholar
- 2.Horowitz, S.H., Phadke, A.G.: Power System Relaying. Research Study Press (1995)Google Scholar
- 4.Mun, K.J., Park, J.H., Kim, H., Seo, J.: Development of real-time-service restoration system for distribution automation system. In: IEEE International Symposium on Industrial Electronics (ISIE 2001), June 2001, pp. 1514–1519 (2001)Google Scholar
- 5.Lehtonen, M., Matsinen, A., Antila, E., Kuru, J.: An advanced model for automatic fault management in distribution networks. In: IEEE Power Engineering Society Winter Meeting, January 2000, pp. 1900–1904 (2000)Google Scholar
- 7.Sudhakar, T.D., Vadivoo, N.S., Slochanal, S.M.R.: Heuristic based strategy for the restoration problem in electric power distribution system. In: International Conference on Power System Technology (POWERCON 2004), November 2004, pp. 635–639 (2004)Google Scholar
- 8.So, C.W., Li, K.K., Lai, K.T., Fung, K.Y.: Application of Genetic Algorithm for Overcurrent Relay Coordination. In: IEE Int. Conf. On Development in Power System Protection, March 1997, pp. 66–69 (1997)Google Scholar
- 9.Choi, D., Kim, C., Hasegawa, J.: An application of genetic algorithms to the network reconfiguration in distribution for loss minimization and load balancing problem. In: International Conference on Energy Management and Power Delivery (EMPD 1995), November 1995, pp. 376–381 (1995)Google Scholar
- 12.He, Y., Anderson, G., Allan, R.N.: Modeling the impact of automation and control on the reliability of distribution systems. In: IEEE Power Engineering Society Summer Meeting, July 2000, pp. 79–84 (2000)Google Scholar
- 13.Billington, R., Allan, R.N.: Reliability Evaluation of Power Systems. Pitman Advanced Publishing, London (1984)Google Scholar
- 14.Goswami, S.K., Basu, S.K.: Direct solution of distribution systems. Proc. Inst. Electr. Eng. 138 (1991)Google Scholar
- 15.Distribution system analysis subcommittee: IEEE 118-node test feeder. IEEE Power Engineering SocietyGoogle Scholar