Maintenance scheduling optimization for electrical grid using binary gray wolf optimization technique

Author

Butrus, Muayyad Yusuf

Source

ZANCO Journal of Pure and Applied Sciences

Publisher

Salahaddin University-Erbil Department of Scientific Publications

Publication Date

2016-06-30

Country of Publication

Iraq

No. of Pages

8

Main Subjects

Information Technology and Computer Science

English Abstract

Power grid maintenance scheduling is one of the most important task for engineer and technician at the time of distributing electrical power.

The time consumed to maintain specific parts will make the difference in efficient power delivery to the customer.

In addition, the cost spent in maintaining and repairing these parts can be very expensive when the part fails.

This research uses Gray Wolf Optimization to obtain the best maintenance schedule, such that, it finds the best time slots to maintenance different parts of electrical grid before reaching failure.

The paper uses Weibull model to simulate part wear out against time.

The main target is to minimize the cost spent in maintenance to keep the part in operation prior to its failure.

In order to test this approach, the research takes a simplified Erbil City grid as a case study for demonstration the proposed technique.

Data Type

Conference Papers

Record ID

BIM-787290

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