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DC Field | Value | Language |
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dc.contributor.author | Joshua A.M. | |
dc.contributor.author | Vittal K.P. | |
dc.date.accessioned | 2021-05-05T10:16:26Z | - |
dc.date.available | 2021-05-05T10:16:26Z | - |
dc.date.issued | 2020 | |
dc.identifier.citation | 2020 IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy, PESGRE 2020 , Vol. , , p. - | en_US |
dc.identifier.uri | https://doi.org/10.1109/PESGRE45664.2020.9070389 | |
dc.identifier.uri | http://idr.nitk.ac.in/jspui/handle/123456789/15100 | - |
dc.description.abstract | Energy storage is a vital component for a resilient microgrid. The high investment cost associated with storage is the major deterrent for its integration in a microgrid. But with the advent of Electric Vehicles and Smart Grids, battery technology and its mass production have got a huge thrust. Cost of the battery is anticipated to come down in future and battery storage customary in microgrids. Though storage will solve all problems related to power mismatches between generation and loads, it brings some additional challenges. Due to the bidirectional power flows, control and protection become complicated. For an effective microgrid protection design, there is a need to study the transient behaviour of its components. In this paper, a microgrid model with a centralised Battery Energy Storage System (BESS) is built. The control strategies automatically switch between grid connected and standalone modes of operation. The model is verified using PSCAD simulations for various operating scenarios. This paper emphasises the role of BESS in a microgrid and investigates the transient behaviour of Distributed Generators (DGs) under various faults in grid connected and islanded operation modes. © 2020 IEEE. | en_US |
dc.title | Transient behavioural modelling of Battery Energy Storage System supporting Microgrid | en_US |
dc.type | Conference Paper | en_US |
Appears in Collections: | 2. Conference Papers |
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