Decision-Dependent Uncertainty Modeling in Power System Operational Reliability Evaluations

被引:52
作者
Hu, Bo [1 ]
Pan, Congcong [1 ]
Shao, Changzheng [1 ]
Xie, Kaigui [1 ]
Niu, Tao [1 ]
Li, Chunyan [1 ]
Peng, Lvbin [1 ]
机构
[1] Chongqing Univ, Power & Energy Reliabil Res Ctr, State Key Lab Power Transmiss Equipment & Syst Se, Chongqing 400044, Peoples R China
基金
中国国家自然科学基金;
关键词
Power system reliability; Reliability; Uncertainty; Power systems; Optimization; Stochastic processes; Force; Decision-dependent uncertainty (DDU); force outage rate (FOR); operational reliability evaluation; stochastic unit commitment (SUC); CONSTRAINED UNIT COMMITMENT; WIND POWER; GENERATION; SECURITY; PROGRAMS; DISPATCH;
D O I
10.1109/TPWRS.2021.3081765
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
The integration of the variable renewable energies makes the operation conditions of the power system ever-changeable. Consequently, the power system operational reliability evaluation is increasingly important. This paper introduces the concept of decision-dependent uncertainty (DDU) in the operational reliability evaluation. Unlike the exogenous uncertainties, DDU reveals that the decisions of the system operation could significantly affect the resolution of the uncertainties which influence the reliability metrics. In this paper, the proposed DDU modeling method links the device reliability indices, i.e., the forced outage rate, and the operational-decision variables. The impacts of DDU on operational reliability are analyzed based on a reliability-constrained stochastic unit commitment (UC) model. An adaptive reliability improvement UC (ARIUC) algorithm is proposed to efficiently solve the problem. Case studies underline the necessity of considering DDU in power system operational reliability evaluations.
引用
收藏
页码:5708 / 5721
页数:14
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