Service restoration problem in distribution power system using improved GA

Abstract

SUMMARYThe service restoration problem in distribution power systems has already been addressed with regard to this issue, for purposes such as the minimization of unrecovered load and power supply loss, considerations of priority sections, and preparation of switching procedures. However, since this involves the application of a number of methods, the related algorithms are complex. In this paper, in order to resolve this issue we first apply GA as an optimization method for investigation purposes, to simplify the algorithms used. Next, to confirm this proposed method's effects in reducing computing time, we consider the efficacy of the proposed method by using smaller numbers of generations and individual sizes than have been used in the past. The effectiveness of the proposed method is shown by the system when failure occurs. It is clear that the proposed method, consisting of GA only, is superior in terms of average fitness values and the ability to reduce computation times.

Application of improved genetic algorithm to service restoration problem for distribution systems

“…We demonstrated that the previous GA allows more efficient minimization of unrestored loads than previous methods [10]. However, detailed analysis shows that blackout sections remain around the branch points in most solutions.…”

“…Thus, we analyzed the GA proposed in Ref. 10 and found that many faulty sections remain at branch points. In order to eliminate this deficiency, we tried to improve the GA in terms of mutation.…”

“…On the other hand, the problem of unrestored load minimization in the latter case is a huge optimization problem with 2 N candidate solution combinations, where N is the number of sectionalizing switches in the system in question. Even metaheuristic methods [5,6,10], which are now attracting much attention, leave many loads unrestored.…”

“…We too applied a genetic algorithm (GA) [10] to this problem. We showed that our method allowed more efficient minimization of unrestored loads and faster search than existing methods for the fault cases considered in Refs.…”

A Decentralized Multi-Agent-Based Approach for Low Voltage Microgrid Restoration

“…Some of the studies investigate the restoration of the distribution system. In [15], by using the genetic algorithm (GA), the switching operation is minimized during the restoration process. It also reduces the required calculations time.…”