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Risk assessment‐based long‐term transmission system hardening under prior probabilistic information.

Authors :
Ding, Tao
Li, Cheng
Chen, Chen
Chen, Bo
Yang, Yongheng
Source :
IET Generation, Transmission & Distribution (Wiley-Blackwell). Jan2019, Vol. 13 Issue 2, p108-115. 8p.
Publication Year :
2019

Abstract

In the long‐term transmission system hardening, critical components in transmission infrastructure should be identified and hardened to reduce the load loss risk in the presence of scheduled and unscheduled outages. Generally, the probabilistic information of assets in power systems can be evaluated via historical statistics. On the basis of the prior probabilistic information, this study proposed a tri‐level optimisation model to deal with the problem of long‐term transmission system hardening, in which the risk assessment is taken into account in the objective function. Furthermore, the problem is formulated as a two‐stage robust optimisation model. To address the non‐linear problem in the inner model, logarithmic transformation and piecewise linearisation are utilised to exactly linearise the non‐linear terms in the model. Finally, the standard column‐and‐constraints generation algorithm is employed to solve the proposed model with a master–sub‐problem framework. The test results on a standard IEEE RTS‐96 system show the effectiveness of the proposed model. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
17518687
Volume :
13
Issue :
2
Database :
Academic Search Index
Journal :
IET Generation, Transmission & Distribution (Wiley-Blackwell)
Publication Type :
Academic Journal
Accession number :
148082920
Full Text :
https://doi.org/10.1049/iet-gtd.2018.6278