A Multilayer Preventive Control to Regulate Voltage and Frequency in Autonomous Microgrids

M.A. Shoeb; F. Shahnia; GM. Shafiullah

doi:10.1109/AUPEC.2018.8758055

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Conference paper

A Multilayer Preventive Control to Regulate Voltage and Frequency in Autonomous Microgrids

M.A. Shoeb, F. Shahnia and GM. Shafiullah

2018 Australasian Universities Power Engineering Conference (AUPEC)

Australasian Universities Power Engineering Conference (AUPEC) 2018 (Auckland, New Zealand, 27/11/2018–30/11/2018)

2018

DOI: https://doi.org/10.1109/AUPEC.2018.8758055

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Abstract

This paper proposes a method to prevent the frequency and voltage excursion in autonomous microgrids beyond their predefined desired ranges, following any change in load and/or renewable energy output. The proposed technique utilizes the short-term prediction data of load and renewable generations to determine any prospective occurrence of events that violate the microgrid's predefined range of frequency or voltage. It then determines the optimal generation for dispatchable sources and the MG's most appropriate topology as first options to prevent the violation. If it is not enough, the proposed technique goes on to engage in supporting actions, such as exchanging power with neighboring microgrid, utilizing energy storages, demand response and renewable energy curtailment. It considers the technical, reliability and environmental aspects of the MG along with the operational cost, as well as the cost of supporting actions. The optimized control variables are sent to the local controller before the occurrence of the event to maintain the frequency and voltage within the desired limits.

Details

Title: A Multilayer Preventive Control to Regulate Voltage and Frequency in Autonomous Microgrids
Authors/Creators: M.A. Shoeb (Author/Creator)
F. Shahnia (Author/Creator) - Murdoch University
GM. Shafiullah (Author/Creator) - Murdoch University
Publication Details: 2018 Australasian Universities Power Engineering Conference (AUPEC)
Conference: Australasian Universities Power Engineering Conference (AUPEC) 2018 (Auckland, New Zealand, 27/11/2018–30/11/2018)
Identifiers: 991005540428007891
Murdoch Affiliation: School of Engineering and Information Technology
Language: English
Resource Type: Conference paper

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