Efficient and Automatic Reconfiguration and Service Restoration in Radial Distribution System Using Differential Evolution
This paper addresses two complex optimization problems in the form of radial distribution system reconfiguration and service restoration using a novel optimization technique called differential evolution. For distribution feeder reconfiguration (DFR) problem, the close and open statuses of sectionalizing and tie switches are changed to find minimum loss configuration. During any sudden outage of any section of the distribution system, the quickness of the restoration is checked with the help of basic optimization technique while feeding all the load points. A standard IEEE 3 feeder, 16 bus distribution system is chosen to simulate the dual problem of optimization. The feasibility and novelty of the optimization is also checked in a comparatively more complex IEEE 33 bus distribution system. Differential Evolution is chosen to find alternative topologies for feeder system and simplified forward Dist-Flow Equation is implemented to do power flow study and it is seen that differential evolution is quite capable of solving this type of complex, non-linear optimization problem with less time which is a basic requirement for the service restoration (SR) of the network system.
KeywordsRadial distribution system Network reconfiguration Service restoration Power loss reduction Differential Evolution Dist flow equation
Unable to display preview. Download preview PDF.
- 1.Civanlar, S., Grainger, J.J., Yin, H., Lee, S.S.H.: Distribution feeder reconfiguration for loss reduction. IEEE Transactions on Power Delivery 3(3) (July 1988)Google Scholar
- 2.Chiou, J.-P., Chang, C.-F., Su, C.-T.: Variable scaling hybrid differential evolution for solving network reconfiguration of distribution system. IEEE Transaction on Power Systems 20(2) (2005)Google Scholar
- 3.Hossam-Eldin, A.A., Abdelaziz, A.R., Abu Fard, A.-E.I.: A Simualted Annealing–Based Automation of Distribution Systmes. In: UPEC 2010, vol. 31 (2010)Google Scholar
- 4.Guimaraes, M.A.N., Lorenzeti, J.E.C., Castro, C.A.: Reconfiguration of distribution systems for voltage stability margin-enhancement using tabu search. In: 2004 Intematlonal Conference on Power Syslem Technology - POWERCON 2004, Singapore (2004)Google Scholar
- 5.Baran, M.E., Wu, F.F.: Network Reconfiguration in Distribution Systems for loss Reduction and Load Balancing. IEEE Transactions on Power Delivery 4(2) (April 1989)Google Scholar
- 6.Subburaj, P., et al.: Distribution System Reconfiguration for Loss Reduction using Genetic Algorithm. J. Electrical Systems 2-4, 198–207 (2006)Google Scholar
- 8.Farahani, H.F.: Presentation of an algorithm to find paths between buses and feeder in radial distribution networks. JBASR; ISSN 2090-4304Google Scholar
- 9.Chakravorty, M., Das, D.: Voltage stability analysis of radial distribution networks. Electrical Power and Energy Systems 4(2) (2000)Google Scholar
- 10.Lin, W.-M., Cheng, F.-S., Tsay, M.-T.: Distribution feeder reconf iguration with refined genetic algorithm. IEE Proc. Gener. Transm. Distrib. 147(6) (November 2000)Google Scholar
- 11.Hsiao, Y.-T.: Multiobjective evolution programming method for feeder reconfiguration. IEEE Transactions on Power Systens 19(1) (February 2004)Google Scholar
- 12.Akduman, B.: Service restoration in distribution systems using an evolutionary algorithm. In: 7th Mediterranean Conference and Exhibition on Power Generation, Transmission, Distribution and Energy Conversion, Agia Napa, Cyprus, November 7-10 (2010) (Paper No. MED10/177)Google Scholar