Optimal feeder reconfiguration with distributed generators in distribution system by fuzzy multiobjective and Tabu search

Abstract

This paper proposes a methodology based on fuzzy multiobjective and tabu search to determine the optimal on/off patterns of tie and sectionalizing switches for feeder reconfiguration in a distribution system with distributed generators. Three main objectives considered in the feeder reconfiguration problem consist of power loss, feeder load balancing, and number of switching operations of the switches. The optimization problem is subject to power flow equations, voltage limits, feeder capability limits, radial configuration format, and no load-point interruption. All the objectives are fuzzified using a trapezoidal membership function. A max-min principle is applied to make a fuzzy decision for identifying a proper set of switching operation that offers a compromise among the three objectives. An illustrative case of a 69-bus distribution system demonstrates the performance of the proposed technique.