Failure Probability Constrained AC Optimal Power Flow

被引:0
|
作者
Subramanyam, Anirudh [1 ]
Roth, Jacob [1 ]
Lam, Albert [1 ]
Anitescu, Mihai [1 ]
机构
[1] Argonne Natl Lab, Div Math & Comp Sci, Lemont, IL 60439 USA
关键词
Power system protection; Power system faults; Mathematical models; Load modeling; Generators; Analytical models; Reactive power; AC optimal power flow; cascading failures; TRANSIENT STABILITY; SECURITY MEASURE; SYSTEM; MODEL; SIMULATION; VULNERABILITY; DISTURBANCES; PROPAGATION; CRITICALITY; MITIGATION;
D O I
10.1109/TPWRS.2022.3146377
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
Despite cascading failures being the central cause of blackouts in power transmission systems, existing operational and planning decisions are made largely by ignoring their underlying cascade potential. This paper posits a reliability-aware AC Optimal Power Flow formulation that seeks to design a dispatch point which has a low operator-specified likelihood of triggering a cascade starting from any single component outage. By exploiting a recently developed analytical model of the probability of component failure, our Failure Probability-constrained ACOPF (FP-ACOPF) utilizes the system's expected first failure time as a smoothly tunable and interpretable signature of cascade risk. We use techniques from bilevel optimization and numerical linear algebra to efficiently formulate and solve the FP-ACOPF using off-the-shelf solvers. Extensive simulations on the IEEE 118-bus case show that, when compared to the unconstrained and N-1 security-constrained ACOPF, our probability-constrained dispatch points can significantly lower the probabilities of long severe cascades and of large demand losses, while incurring only minor increases in total generation costs.
引用
收藏
页码:4683 / 4695
页数:13
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