Distribution Power System Service Restoration Using AI

Lieferzeit: Lieferbar innerhalb 14 Tagen

61,90 

How to keep power loss, voltage deviation and switching operation minimum while restoring power in distribution system

ISBN: 6139895014
ISBN 13: 9786139895014
Autor: Tassew, Yared
Verlag: LAP LAMBERT Academic Publishing
Umfang: 136 S.
Erscheinungsdatum: 10.09.2018
Auflage: 1/2018
Format: 0.9 x 22 x 15
Gewicht: 221 g
Produktform: Kartoniert
Einband: KT
Artikelnummer: 5592272 Kategorie:

Beschreibung

Distribution power system service restoration is an emergency procedure in distribution to restore power to out-of-service area as soon as possible when a fault occurs in the distribution system. The restoration process is made by reconfiguration of the distribution network which is achieved by switching operation on switches of distribution network branches. Service restoration is a complex combinatorial optimization problem. This is because it is multi objective multi constraint optimization problem. That is there are multiple constraints that must not be violated while finding optimal or near optimal solution of the service restoration optimization problem. As a result, a more efficient approach is required to handle this combinatorial problem. In this book, a powerful intelligent evolution method, called Multi Objective Genetic Algorithm (MOGA) is adopted for service restoration optimization problem. The performance of the method is tested on standard 69 bus system under four different fault conditions. The obtained results reveal that the proposed method is promising in the application of distribution power system service restoration.

Autorenporträt

Mr Yared Tassew was born Addis Ababa, Ethiopia. He studied at Mekelle University where he successfully completed Bsc degree in Electrical and Computer Engineering. He continued his Msc in Power System in Bahir Dar University and completed with great distinction. Mr Yared is currently lecturer in power system at Arba Minch University, Ethiopia.

Das könnte Ihnen auch gefallen …