On the Improvement of the Reliability of the Electrical Distribution Networks by Using Smart Electric-supply Restoration Algorithm | ||||
| International Journal of Engineering and Applied Sciences-October 6 University | ||||
| Article 1, Volume 1, Issue 1, July 2024 PDF (425.92 K) | ||||
| Document Type: Research Article | ||||
| DOI: 10.21608/ijeasou.2024.373450 | ||||
 View on SCiNiTO | ||||
| Abstract | ||||
| One of the greatest goals of smart networks is to make consumers happy by ensuring the continuity of electricity delivery under normal and abnormal conditions. On occurrence of a permanent fault, the electric supply to all download feeder sections is interrupted with power outage of all loads until the maintenance crew move to fix the faulty section. This reflects itself on a negative impact on the network reliability indices including network average interruption duration and frequency indices. With the increasing demand for electricity, power distribution utilities must provide an efficient and appropriate Service Restoration strategy to restore customers as soon as possible after power outages. A self-healing is defined as recovering the all out-of-service loads in the shortest time possible without violating the network operating-constraints. This paper is aimed at proposing a smart technique based on a genetic algorithm and load-curve as well as the feedercurve to recover the out-of-service loads following a permanent fault in the power distribution network. The proposed algorithm is tested on IEEE 16-bus system in various scenarios. It was found that using this proposed method would lead to optimal, accurate, and applicable solutions for service restoration in distribution networks. The proposed technique showed better improvements when compared with that achieved by other methods reported in the literature. | ||||
| Keywords | ||||
| self-healing; smart distribution networks; electric-supply restoration; smart technique | ||||
|
Statistics Article View: 228 PDF Download: 92 |
||||
