Enhancing the transmission grid resilience in ice storms by optimal coordination of power system schedule with pre-positioning and routing of mobile DC de-icing devices
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论文类型:期刊论文
论文编号:18757832
第一作者:Mingyu Yan
通讯作者:Mohammad Shahidehpour
合写作者:Xiaomeng Ai,Zhiyi Li,Jinyu Wen,Shay Bahramira,Aleksi Paaso
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:34
期号:4
页面范围:2663-2674
ISSN号:0885-8950
关键字:Transmission grid resilience, mobile DC de-icing device routing, power system scheduling, mixed-integer secondorder cone programming, nested column-and-constraint algorithm.
DOI码:10.1109/TPWRS.2019.2899496
发表时间:2019-07-01
影响因子:7.326
摘要:This paper proposes a resilience enhancement strategy for power transmission system against ice storms by the optimal coordination of power system schedule with the pre-positioning and routing of mobile dc de-icing devices (MDIDs). A two-stage robust optimization model is established to accommodate the variable ice thickness on transmission lines. The first stage coordinates the pre-positioned MDIDs and unit commitment in day-ahead. These decisions, which are based on a robust approach, can accommodate the variable ice thickness in which the coordinated real-time schedule would always be feasible with respect to day-ahead decisions. At the second stage, the real-time operation, which integrates the power system dispatch, de-icing schedule, and MDID routing, is scheduled according to the real-time ice thickness. Auxiliary variables are adopted to convert the proposed nonconvex nonlinear model to a mixed-integer second-order cone programming (MISOCP) problem. The nested column-and-constraint generation algorithm is utilized to solve the two-stage robust MISOCP problem. Several computational enhancement strategies including Lagrangian relaxation are proposed to improve the performance of the proposed resilience enhancement strategy. Numerical results for an integrated 6-bus 6-node electricity-road network and a real-world example employed in China show the effectiveness of the proposed model and solution technique for enhancing the transmission grid resilience.
发布期刊链接:https://ieeexplore.ieee.org/abstract/document/8642947