Enhancement of restoration service in distribution systems using a combination fuzzy-GA method

This work presents a combination fuzzy-GA method to resolve the service res toration problem, The problem formulation proposed herein considers five di fferent objective functions related to maximizing the amount of total load to he restored as well as minimizing the number of the switching operations , deviation of the bus voltage, the feeder's current and transformer's load ing. Meanwhile, the operational constraints, radial structure of the networ k configuration and sequence of the switching operations are included in th e problem formulation. These objective functions are modeled with fuzzy set s to evaluate their imprecise nature. In the interactive method, the dispat cher provides his or her anticipated value (the degree of preference) of ea ch objective, then the optimization problem is solved by the genetic algori thm. Analyzing the results from the former interactive and updating the exp ected value of each objective function via the interactive procedure allow us to derive the compromised or satisfied solution efficiently, Simulation results obtained from the Tai-power system demonstrate the effectiveness of the solution algorithm.