A dynamic partitioning method for power system parallel restoration considering restoration-related uncertainties. (February 2020)

• Record Type: Journal Article
• Authors: Li, Ze; Xue, Yusheng; Wang, Haohao; Hao, Lili
• Is Part Of: Energy reports. Volume 6(2020)Supplement 2
• Page Start: 352
• Page End: 361
• Publication Date: 2020-02
• Subjects: Restorative control -- Decision support system -- Dynamic partitioning -- Parallel restoration; Power resources -- Periodicals; Energy industries -- Periodicals; Power resources; Periodicals; Electronic journals; 621.04205
• DOI: 10.1016/j.egyr.2019.11.087
• Languages: English
• ISSNs: 2352-4847

Abstract

Abstract: Online Decision Support System (DSS) for restorative control can be used to track the restoration process of power system dynamically and optimize the restoration plans online to support the decision-making of dispatchers' online restorative control. Parallel restoration can improve the restoration efficiency effectively, but the division of the restoration partitions should match the real-time conditions of the power grid. This paper proposes a dynamic partitioning method for power system restoration considering the restoration capabilities of partitions, which can be used to refresh the partitioning results dynamically based on the power system restoration process so as to cope with the restoration-related uncertainties. Furthermore, the restoration targets (outage power plants and outage substations) of partitions will be filtered and evaluated based on its restoration values to maximize the overall restoration revenues. A decision support system for restorative control is developed and a case study using data of a real regional grid in China is conducted to illustrate the flexibility and effectiveness of the proposed method in dealing with restoration-related uncertainties.