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
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