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

被引:7
|
作者
Ding, Tao [1 ,2 ]
Li, Cheng [1 ]
Chen, Chen [3 ]
Chen, Bo [3 ]
Yang, Yongheng [4 ]
机构
[1] Xi An Jiao Tong Univ, Elect Engn, Xian 710049, Peoples R China
[2] Tsinghua Univ, Elect Engn, Beijing 100084, Peoples R China
[3] Argonne Natl Lab, Dept Elect Engn, 9700 S Cass Ave, Argonne, IL 60439 USA
[4] Aalborg Univ, Energy Technol, DK-9229 Aalborg, Denmark
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
power system security; risk analysis; optimisation; power transmission planning; probability; integer programming; risk management; power system reliability; power generation reliability; prior probabilistic information; tri-level optimisation model; two-stage robust optimisation model; nonlinear terms; standard IEEE RTS-96 system; risk assessment-based long-term transmission system hardening; transmission infrastructure; load loss risk; power systems; OPTIMIZATION MODEL; POWER; STRATEGY; ELECTRICITY; RESILIENCE;
D O I
10.1049/iet-gtd.2018.6278
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
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.
引用
收藏
页码:108 / 115
页数:8
相关论文
共 50 条
  • [21] Population-Based Assessment of the Long-Term Risk of Seizures in Survivors of Stroke
    Merkler, Alexander E.
    Gialdini, Gino
    Lerario, Michael P.
    Parikh, Neal S.
    Morris, Nicholas A.
    Kummer, Benjamin
    Dunn, Lauren
    Reznik, Michael E.
    Murthy, Santosh B.
    Navi, Babak B.
    Grinspan, Zachary M.
    Iadecola, Costantino
    Kamel, Hooman
    STROKE, 2018, 49 (06) : 1319 - 1324
  • [22] Sequence-based clustering applied to long-term credit risk assessment
    Le, Richard
    Ku, Hyejin
    Jun, Doobae
    EXPERT SYSTEMS WITH APPLICATIONS, 2021, 165
  • [23] RISK ASSESSMENT - ROLE OF LONG-TERM CARCINOGENICITY STUDIES
    BOLOGNESI, C
    PARODI, S
    JOURNAL OF EXPERIMENTAL & CLINICAL CANCER RESEARCH, 1992, 11 (03) : 161 - 168
  • [24] MANAGING RISK UNDER LONG-TERM FARMLAND LEASES
    PEDERSON, GD
    AMERICAN JOURNAL OF AGRICULTURAL ECONOMICS, 1985, 67 (05) : 1271 - 1271
  • [25] STRATEGIC ASSET ALLOCATION FOR LONG-TERM INVESTORS: PARAMETER UNCERTAINTY AND PRIOR INFORMATION
    Hoevenaars, Roy P. P. M.
    Molenaar, Roderick D. J.
    Schotman, Peter C.
    Steenkamp, Tom B. M.
    JOURNAL OF APPLIED ECONOMETRICS, 2014, 29 (03) : 353 - 376
  • [26] An outline of a risk assessment-based system of meat safety assurance and its future prospects
    Berends, BR
    van Knapen, F
    VETERINARY QUARTERLY, 1999, 21 (04) : 128 - 134
  • [27] Long-term flood risk assessment of watersheds under climate change based on the game cross-efficiency DEA
    Su, Qingmu
    NATURAL HAZARDS, 2020, 104 (03) : 2213 - 2237
  • [28] Long-term flood risk assessment of watersheds under climate change based on the game cross-efficiency DEA
    Qingmu Su
    Natural Hazards, 2020, 104 : 2213 - 2237
  • [29] LONG-TERM ENHANCEMENT OF HIPPOCAMPAL SYNAPTIC TRANSMISSION AND THE ACQUISITION OF SPATIAL INFORMATION
    MCNAUGHTON, BL
    BARNES, CA
    RAO, G
    BALDWIN, J
    RASMUSSEN, M
    JOURNAL OF NEUROSCIENCE, 1986, 6 (02): : 563 - 571
  • [30] A long-term sustainability assessment of an Argentinian agricultural system based on emergy synthesis
    Ferraro, D. O.
    Benzi, P.
    ECOLOGICAL MODELLING, 2015, 306 : 121 - 129