Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/243901 
Year of Publication: 
2020
Citation: 
[Journal:] Energy Reports [ISSN:] 2352-4847 [Volume:] 6 [Issue:] 2 [Publisher:] Elsevier [Place:] Amsterdam [Year:] 2020 [Pages:] 352-361
Publisher: 
Elsevier, Amsterdam
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.
Subjects: 
Decision support system
Dynamic partitioning
Parallel restoration
Restorative control
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by-nc-nd Logo
Document Type: 
Article
Appears in Collections:

Files in This Item:
File
Size
732.99 kB





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.