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

  • Tsinghua University
  • Xi'an Jiaotong University
  • Argonne National Laboratory
  • Aalborg University

科研成果: 期刊稿件文章同行评审

11 引用 (Scopus)

摘要

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.

源语言英语
页(从-至)108-115
页数8
期刊IET Generation, Transmission and Distribution
13
1
DOI
出版状态已出版 - 8 1月 2019

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