TY - GEN
T1 - Transmission switching under wind uncertainty using linear decision rules
AU - Zhou, Yuqi
AU - Zhu, Hao
AU - Hanasusanto, Grani A.
N1 - This work has been supported by NSF CAREER Grant #1802319 and NSF CAREER Grant #1752125.
PY - 2020/8/2
Y1 - 2020/8/2
N2 - Increasing penetration of wind and renewable generation poses significant challenges to the power system operations and reliability. This paper considers the real-time optimal transmission switching (OTS) problem for determining the generation dispatch and network topology that can account for uncertain energy resources. To efficiently solve the resultant two-stage stochastic program, we propose a tractable linear decision rule (LDR) based approximation solution that can eliminate the uncertain variables and lead to fixed number of constraints. The proposed LDR approach can guarantee feasibility, and significantly reduces the computational complexity of existing approaches that grows with the number of randomly generated samples of uncertainty. Numerical studies on IEEE test cases demonstrate the high approximation accuracy of the proposed LDR solution and its computational efficiency for real-time OTS implementations.
AB - Increasing penetration of wind and renewable generation poses significant challenges to the power system operations and reliability. This paper considers the real-time optimal transmission switching (OTS) problem for determining the generation dispatch and network topology that can account for uncertain energy resources. To efficiently solve the resultant two-stage stochastic program, we propose a tractable linear decision rule (LDR) based approximation solution that can eliminate the uncertain variables and lead to fixed number of constraints. The proposed LDR approach can guarantee feasibility, and significantly reduces the computational complexity of existing approaches that grows with the number of randomly generated samples of uncertainty. Numerical studies on IEEE test cases demonstrate the high approximation accuracy of the proposed LDR solution and its computational efficiency for real-time OTS implementations.
KW - Linear decision rules
KW - Optimal transmission switching
KW - Sample average approximation
KW - Two-stage stochastic program
UR - https://www.scopus.com/pages/publications/85098412669
UR - https://www.scopus.com/inward/citedby.url?scp=85098412669&partnerID=8YFLogxK
U2 - 10.1109/PESGM41954.2020.9281999
DO - 10.1109/PESGM41954.2020.9281999
M3 - Conference contribution
AN - SCOPUS:85098412669
T3 - IEEE Power and Energy Society General Meeting
BT - 2020 IEEE Power and Energy Society General Meeting, PESGM 2020
PB - IEEE Computer Society
T2 - 2020 IEEE Power and Energy Society General Meeting, PESGM 2020
Y2 - 2 August 2020 through 6 August 2020
ER -