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Decision-Dependent Uncertainty Modeling in Power System Operational Reliability Evaluations

Authors :
Kaigui Xie
Chunyan Li
Lvbin Peng
Congcong Pan
Changzheng Shao
Tao Niu
Bo Hu
Source :
IEEE Transactions on Power Systems. 36:5708-5721
Publication Year :
2021
Publisher :
Institute of Electrical and Electronics Engineers (IEEE), 2021.

Abstract

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.

Details

ISSN :
15580679 and 08858950
Volume :
36
Database :
OpenAIRE
Journal :
IEEE Transactions on Power Systems
Accession number :
edsair.doi...........79475f9d0cbd00928e1a753fdaaeaecd
Full Text :
https://doi.org/10.1109/tpwrs.2021.3081765