Using the Thermal Inertia of Transmission Lines for Coping with Post-Contingency Overflows
Xiansi Lou,
Wei Chen and
Chuangxin Guo
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Xiansi Lou: College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
Wei Chen: College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
Chuangxin Guo: College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
Energies, 2019, vol. 13, issue 1, 1-23
Abstract:
For the corrective security-constrained optimal power flow (OPF) model, there exists a post-contingency stage due to the time delay of corrective measures. Line overflows in this stage may cause cascading failures. This paper proposes that the thermal inertia of transmission lines can be used to cope with post-contingency overflows. An enhanced security-constrained OPF model is established and line dynamic thermal behaviors are quantified. The post-contingency stage is divided into a response substage and a ramping substage and the highest temperatures are limited by thermal rating constraints. A solving strategy based on Benders decomposition is proposed to solve the established model. The original problem is decomposed into a master problem for preventive control and two subproblems for corrective control feasibility check and line thermal rating check. In each iteration, Benders cuts are generated for infeasible contingencies and returned into the master problem for adjusting the generation plan. Because the highest temperature function is implicit, an equivalent time method is presented to calculate its partial derivative in Benders cuts. The proposed model and approaches are validated on three test systems. Results show that the operation security is improved with a slight increase in total generation cost.
Keywords: security-constrained OPF; preventive control; corrective control; post-contingency overflow; transmission line; thermal inertia (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
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