Back to Search Start Over

Decision-Dependent Uncertainty Modeling in Power System Operational Reliability Evaluations.

Authors :
Hu, Bo
Pan, Congcong
Shao, Changzheng
Xie, Kaigui
Niu, Tao
Li, Chunyan
Peng, Lvbin
Source :
IEEE Transactions on Power Systems. Nov2021, Vol. 36 Issue 6, p5708-5721. 14p.
Publication Year :
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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
08858950
Volume :
36
Issue :
6
Database :
Academic Search Index
Journal :
IEEE Transactions on Power Systems
Publication Type :
Academic Journal
Accession number :
153711564
Full Text :
https://doi.org/10.1109/TPWRS.2021.3081765