Reactive power imbalance method for islanding detection in micro-grid operation

Shamshiri, Meysam and Sapar, Ahmad Farid and Chin, Kim Gan and Tengga Daram, Revinnath and Ab Ghani, Mohd Ruddin (2014) Reactive power imbalance method for islanding detection in micro-grid operation. International Journal of Recent Technology and Engineering (IJRTE), 2 (6). pp. 94-98. ISSN 2277-3878

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Abstract

Micro-grids usage among consumers has become a new attraction due their several of advantage. Its major function is to ensure the stable operation during the fault and a variety of utility grid disruption. Since the utilization of micro-grid became common, the correct application and operation of micro-grid is importance and significant. One of the main challenges in micro-grids operation is islanding detection methods. There are several methods that are handles the islanding detection that each one have advantage and some disadvantage. This paper presents and investigates the Reactive Power imbalance Method for islanding detection. The passive algorithm implements in this paper due to the low cost operation, however it got the higher non-detection zone (NDZ) and slower response time compare some active methods. The micro-grid simulation is modeled in Matlab/Simulink program and the results of the monitoring are discussed as well. As the result, the performance of the Reactive Power Imbalance method for the islanding detection state is compared with the simulation model without control algorithm. Finally, the micro-grid model capability with control algorithm is shown in order to meet the load demand.

Item Type:	Article
Uncontrolled Keywords:	Micro-grid, Islanding detection, Passive method, Distributed generation
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	Faculty of Electrical Engineering > Department of Industrial Power
Depositing User:	Prof. Datuk Dr. Mohd Ruddin Ab. Ghani
Date Deposited:	13 Mar 2014 01:10
Last Modified:	29 May 2023 15:54
URI:	http://eprints.utem.edu.my/id/eprint/11795
Statistic Details:	View Download Statistic

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