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Abstract
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This research develops a comprehensive method to solve a combinatorial problem consisting of distribution system
reconfiguration, capacitor allocation, and renewable energy resources sizing and siting simultaneously and to improve power
system’s accountability and system performance parameters. Due to find solution which is closer to realistic characteristics, load
forecasting, market price errors and the uncertainties related to the variable output power of wind based DG units are put in
consideration. This work employs NSGA-II accompanied by the Fuzzy set theory to solve the aforementioned multi-objective
problem. The proposed scheme finally leads to a solution with minimum voltage deviation, maximum voltage stability, lower amount
of pollutant and lower cost. The cost includes the terms of, installation costs of new equipment, reconfiguration costs, power loss cost,
reliability cost, cost of energy purchased from power market, upgrade costs of lines and operation and maintenance costs of DGs.
Therefore, the proposed methodology improves power quality, reliability and security in lower costs besides it preserve, the
operational indices of power distribution networks in acceptable level. To validate the proposed methodology’s usefulness, it was
applied on the IEEE 33-bus distribution system then the outcomes were compared with initial configuration.
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