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Energies 2017, 10(9), 1294; https://doi.org/10.3390/en10091294

Identification of Critical Transmission Lines in Complex Power Networks

1
Power System Protection and Control Research Laboratory, Beijing Jiaotong University, Shangyuancun No. 3, Haidian District, Beijing 100044, China
2
School of Electrical and Electronic Engineering, The University of Manchester, Manchester M13 9PL, UK
*
Author to whom correspondence should be addressed.
Received: 3 August 2017 / Revised: 25 August 2017 / Accepted: 25 August 2017 / Published: 30 August 2017
(This article belongs to the Section Electrical Power and Energy System)
View Full-Text   |   Download PDF [1555 KB, uploaded 30 August 2017]   |  

Abstract

Growing load demands, complex operating conditions, and the increased use of intermittent renewable energy pose great challenges to power systems. Serious consequences can occur when the system suffers various disturbances or attacks, especially those that might initiate cascading failures. Accurate and rapid identification of critical transmission lines is helpful in assessing the system vulnerability. This can realize rational planning and ensure reliable security pre-warning to avoid large-scale accidents. In this study, an integrated “betweenness” based identification method is introduced, considering the line’s role in power transmission and the impact when it is removed from a power system. At the same time, the sensitive regions of each line are located by a cyclic addition algorithm (CAA), which can reduce the calculation time and improve the engineering value of the betweenness, especially in large-scale power systems. The simulation result verifies the effectiveness and the feasibility of the identification method. View Full-Text
Keywords: critical line; vulnerability; power flow redistribution; integrated betweenness; cyclic addition algorithm critical line; vulnerability; power flow redistribution; integrated betweenness; cyclic addition algorithm
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Wang, Z.; He, J.; Nechifor, A.; Zhang, D.; Crossley, P. Identification of Critical Transmission Lines in Complex Power Networks. Energies 2017, 10, 1294.

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