Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/23246
Title: A power system network splitting strategy based on contingency analysis
Authors: Saharuddin, N.Z.
Abidin, I.Z.
Mokhlis, H.
Abdullah, A.R.
Naidu, K.
Keywords: cascading failures
DEP optimization technique
N-1 contingency
network splitting strategy
Issue Date: Feb-2018
Publisher: MDPI AG
Citation: Saharuddin, N. Z., Abidin, I. Z., Mokhlis, H., Abdullah, A. R., & Naidu, K. (2018). A power system network splitting strategy based on contingency analysis. Energies, 11(2). https://doi.org/10.3390/en11020434
Abstract: This paper proposes a network splitting strategy following critical line outages based on N-1 contingency analysis. Network splitting is the best option for certain critical outages when the tendency of severe cascading failures is very high. Network splitting is executed by splitting the power system network into feasible set of islands. Thus, it is essential to identify the optimal splitting solution (in terms of minimal power flow disruption) that satisfies certain constraints. This paper determines the optimal splitting solution for each of the critical line outage using discrete evolutionary programming (DEP) optimization technique assisted by heuristic initialization approach. Heuristic initialization provides the best initial cutsets which will guide the optimization technique to find the optimal splitting solution. Generation-load balance and transmission line overloading analysis are carried out in each island to ensure the steady state stability is achieved. Load shedding scheme is initiated if the power balance criterion is violated in any island to sustain the generation-load balance. The proposed technique is validated on the IEEE 118 bus system. Results show that the proposed approach produces an optimal splitting solution with lower power flow disruption during network splitting execution. © 2018 by the authors.
Description: This is an open access article distributed under the terms of the Creative Commons CC-BY license. This article index by Scopus
URI: https://doi.org/10.3390/en11020434
https://www.mdpi.com/1996-1073/11/2/434
https://www.scopus.com/record/display.uri?eid=2-s2.0-85051258009&doi=10.3390%2fen11020434&origin=inward&txGid=0d2137462568afac9148cde7f4719da1
http://ir.unikl.edu.my/jspui/handle/123456789/23246
ISSN: 19961073
Appears in Collections:Journal Articles

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