Please use this identifier to cite or link to this item: http://hdl.handle.net/10266/2972
Title: Optimal Sectionalizer Placement in Radial Distribution System using Mutation Assisted Particle Swarm Optimization
Authors: Bansal, Yashasvi
Supervisor: Jain, Sanjay Kumar
Keywords: Distribution System;Optimal Sectionalizer Placement;ECOST;SAIDI;Fuzzy Decision Making;Mutation Assisted Particle Swarm Optimization;PSO
Issue Date: 19-Aug-2014
Abstract: The placement of switches in distribution system is important and an inevitable pre-requisite in the electric power industry. As the distribution system are more prone to disturbances, the availability of supply to the customer is affected and so the cost of electricity and reliability. Therefore, achieving reliability levels by concurrently minimizing the total societal cost that includes utility investment cost and customer interruption cost are important issues. In this dissertation, a value-based reliability planning approach is utilized to determine the number and location of sectionalizers. A solution methodology based on the heuristic Mutation Assisted Particle Swarm Optimization (MAPSO) is proposed to avoid premature convergence of PSO. The mutation operator is directed to come out from local minima to such discrete value problem. The location of circuit-breaker is predetermined in the feeder by default. The optimization is directed to utilize total cost which is the sum of system expected outage cost (ECOST) and switches cost, in association with system average interruption duration index (SAIDI) as two single objectivefunctions. The proposed method is also implemented to solve total cost and SAIDI simultaneously using fuzzy decision making (FDM) approach. The performance of the proposed optimization method has been tested on 12-bus, 33-bus and 47-bus distribution system. The effect of section length on optimal placement of sectionalizer is also studied.
Description: M.E. (Power Systems)
URI: http://hdl.handle.net/10266/2972
Appears in Collections:Masters Theses@EIED

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