Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICSET.2016.7811755
Title: GIS Integrated Automation of a Near Real-Time Power-Flow Service for Electrical Grids
Authors: Moirangthem, Joymala 
Krishnanand, KR 
Panda, SK 
Amaratunga, Gehan
Keywords: Science & Technology
Technology
Energy & Fuels
Engineering, Electrical & Electronic
Engineering
AC power flow analysis
holomorphic embedding
fast power flow service
smart grids
geographic information system
LOAD FLOW
SERIES
Issue Date: 2016
Publisher: IEEE
Citation: Moirangthem, Joymala, Krishnanand, KR, Panda, SK, Amaratunga, Gehan (2016). GIS Integrated Automation of a Near Real-Time Power-Flow Service for Electrical Grids. 4th IEEE International Conference on Sustainable Energy Technologies (ICSET) 0 : 48-53. ScholarBank@NUS Repository. https://doi.org/10.1109/ICSET.2016.7811755
Abstract: © 2016 IEEE. The future of high renewable energy penetration and the consequent power variability produces the need for fast power-flow computations for the useful management of power. Such management must have least requirement for human intervention, achievable through fast and reliable automations. This paper presents Geographic Information System (GIS) integrated automation of a non-iterative power-flow method known as Holomorphic Embedded Power Flow (HEPF) so as to produce a power-flow service over a communication network. Since HEPF reliably guarantees the solution and reaches it very fast through constructing the solution, it is a suitable candidate for near real-Time updates of the electrical states of a power system. A four-bus system is first used to explain the holomorphic formulations. Then the results of a 12-bus test system are compared with that of commercial PowerWorld Simulator for corroboration. The results of different loading conditions demonstrate the usefulness of the power-flow service which is continuously provided to a grid which has rapid changes in power.
Source Title: 4th IEEE International Conference on Sustainable Energy Technologies (ICSET)
URI: https://scholarbank.nus.edu.sg/handle/10635/171093
ISBN: 9781509052004
ISSN: 21654387
21654395
DOI: 10.1109/ICSET.2016.7811755
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