ACO Based Method for Service Restoration in Distribution System using Fuzzy M.O.M.C Approach
Rajneesh Karn1, Yogendra Kumar2, Gayatri Agnihotri3

1Rajneesh Kumar Karn, Electrical Engineering, Radharaman Engineering College, Bhopal, India.
2Yogendra Kumar, Electrical Engineering, Maulana Azad National Institute of Technology, Bhopal, India.
3Gayatri Agnihotri, Electrical Engineering, Maulana Azad National Institute of Technology, Bhopal, India.
Manuscript received on August 13, 2011. | Revised Manuscript received on August 19, 2011. | Manuscript published on September 05, 2011. | PP: 52-59 | Volume-1 Issue-4, September 2011. | Retrieval Number: D081071411/2011©BEIESP
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Abstract: Service restoration in power distribution system is to restore power in healthy portion of out of service area as much as possible followed by a fault and isolating the faulted zone by operating the line switches connected in the network. In service restoration, not only the final network configuration but also the number of switching operations held for service restoration is important with a number of constraints like node voltage deviation, load balancing and priority customers. Thus the Service restoration problem is a multi objective multi constraint (M.O.M.C) combinatorial optimization problem. This paper proposes an Ant Colony optimization based methodology for minimizing the area where energy is not supplied and no of manually controlled and remotely controlled switching operations during the restoration process. A fuzzy membership function is defined for each term in objective according to relevant conditions and the final solutions are ranked according to the importance of objective under consideration.
Keywords: Ant colony optimization, Fuzzy logic, Service restoration..