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Author:

Ding, Tao (Ding, Tao.) (Scholars:丁涛) | Li, Cheng (Li, Cheng.) | Chen, Chen (Chen, Chen.) | Chen, Bo (Chen, Bo.) | Yang, Yongheng (Yang, Yongheng.)

Indexed by:

SCIE EI Scopus

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.

Keyword:

integer programming load loss risk nonlinear terms optimisation power generation reliability power system reliability power systems power system security power transmission planning prior probabilistic information probability risk analysis risk assessment-based long-term transmission system hardening risk management standard IEEE RTS-96 system transmission infrastructure tri-level optimisation model two-stage robust optimisation model

Author Community:

  • [ 1 ] [Ding, Tao; Li, Cheng] Xi An Jiao Tong Univ, Elect Engn, Xian 710049, Peoples R China
  • [ 2 ] [Ding, Tao] Tsinghua Univ, Elect Engn, Beijing 100084, Peoples R China
  • [ 3 ] [Chen, Chen; Chen, Bo] Argonne Natl Lab, Dept Elect Engn, 9700 S Cass Ave, Argonne, IL 60439 USA
  • [ 4 ] [Yang, Yongheng] Aalborg Univ, Energy Technol, DK-9229 Aalborg, Denmark
  • [ 5 ] [Ding, Tao]Xi An Jiao Tong Univ, Elect Engn, Xian 710049, Peoples R China
  • [ 6 ] [Li, Cheng]Xi An Jiao Tong Univ, Elect Engn, Xian 710049, Peoples R China
  • [ 7 ] [Ding, Tao]Tsinghua Univ, Elect Engn, Beijing 100084, Peoples R China
  • [ 8 ] [Chen, Chen]Argonne Natl Lab, Dept Elect Engn, 9700 S Cass Ave, Argonne, IL 60439 USA
  • [ 9 ] [Chen, Bo]Argonne Natl Lab, Dept Elect Engn, 9700 S Cass Ave, Argonne, IL 60439 USA
  • [ 10 ] [Yang, Yongheng]Aalborg Univ, Energy Technol, DK-9229 Aalborg, Denmark

Reprint Author's Address:

  • 丁涛

    Xi An Jiao Tong Univ, Elect Engn, Xian 710049, Peoples R China.; Ding, T (reprint author), Tsinghua Univ, Elect Engn, Beijing 100084, Peoples R China.

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Source :

IET GENERATION TRANSMISSION & DISTRIBUTION

ISSN: 1751-8687

Year: 2019

Issue: 1

Volume: 13

Page: 108-115

2 . 8 6 2

JCR@2019

2 . 9 9 5

JCR@2020

ESI Discipline: ENGINEERING;

ESI HC Threshold:83

JCR Journal Grade:3

CAS Journal Grade:3

Cited Count:

WoS CC Cited Count: 6

SCOPUS Cited Count: 10

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

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