Toward a Resilient Network by Optimal Sizing of Large Scale PV Power Plant in Microgrid-Case Study of Mongolia

Show simple item record Saranchimeg, Sainbold en Sanjari, M en Nair, Nirmal-Kumar en
dc.coverage.spatial Auckland, New Zealand en 2020-04-15T23:12:44Z en 2019-03-01 en
dc.identifier.isbn 978-1-5386-8474-0 en
dc.identifier.issn 2474-1507 en
dc.identifier.uri en
dc.description.abstract Competitive price and eco-friendly operation features make solar photovoltaic (PV) plant a strong candidate for a modern power system's generation mix. Therefore, it has been economically feasible to build PV based microgrids, which can convert current centralized national grids into decentralized segments so that resiliency of grid will improve and line loss will decrease. In this study, we examined integration scenarios of different size of PV plants into Altai Uliastai Energy System (AUES) of Mongolia in order to evaluate the possibility of developing microgrid using current hydropower plant (HPP) and proposed PV plant. Results showed that a PV plant with 10 MW capacity would perform well with HPP and load from energy management point of view. DIGSilent Power Factory has been used for quasi-dynamic simulation. en
dc.publisher IEEE en
dc.relation.ispartof Australasian Universities Power Engineering Conference: Transition to a Low-Carbon Energy Future, AUPEC 2018 en
dc.relation.ispartofseries Australasian Universities Power Engineering Conference, AUPEC 2018 en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. en
dc.rights.uri en
dc.title Toward a Resilient Network by Optimal Sizing of Large Scale PV Power Plant in Microgrid-Case Study of Mongolia en
dc.type Conference Item en
dc.identifier.doi 10.1109/AUPEC.2018.8757877 en
dc.rights.holder Copyright: The author en en
pubs.finish-date 2018-11-30 en
pubs.start-date 2018-11-27 en
dc.rights.accessrights en
pubs.subtype Proceedings en
pubs.elements-id 766332 en Engineering en Department of Electrical, Computer and Software Engineering en
pubs.record-created-at-source-date 2019-03-17 en

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