A convex three-stage SCOPF approach to power system flexibility with unified power flow controllers
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论文类型:期刊论文
论文编号:20984743
第一作者:Mingyu Yan
通讯作者:Mohammad Shahidehpour
合写作者:Aleksi Paaso,Liuxi Zhang,Ahmed Alabdulwahab,Abdullah Abusorrah
发表刊物:IEEE Transactions on Power Systems
收录刊物:SCI
刊物所在地:美国
学科门类:工学
一级学科:电气工程
文献类型:J
卷号:36
期号:3
页面范围:1947-1960
ISSN号:0885-8950
关键字:Three-stage security-constrained optimal power flow, UPFC, fast-response corrective action, convex approach, Benders decomposition, sequential cone programming.
DOI码:10.1109/TPWRS.2020.3036653
发表时间:2021-05-01
影响因子:7.326
摘要:This paper proposes a methodology for enhancing the power system flexibility, which can respond properly to contingencies in real-time operations. The proposed approach introduces a unified power flow controller (UPFC) in a three-stage security-constrained optimal power flow (SCOPF). The pre- and post-contingency system operation states are divided into three stages including the base case, post-contingency short-term, and post-contingency long-term periods. The UPFC applications re-route active power flow and provide reactive power to mitigate overloads and voltage violations when line outages occur in power systems. UPFC is adopted as a fast-response corrective control device during the post-contingency short-term period, which is coordinated with the conventional slow-response corrective control system during the post-contingency long-term period. A convex approach is applied to reformulate the original nonlinear nonconvex SCOPF problem into a second-order cone programming (SOCP) problem. A two-level algorithm using Benders decomposition and sequential cone programming (SCP) is applied to solve the large-scale SOCP problem. An improved covering cut bundle (CCB) strategy is proposed to accelerate the convergence of the Benders decomposition algorithm. Numerical results show the effectiveness of the proposed model and its solution technique for enhancing the power system flexibility.
发布期刊链接:https://ieeexplore.ieee.org/abstract/document/9252174