Resilience Scheduling Strategy for Offshore Combined Wind-Storage Power Generation System

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

To cope with the high wind-speed shutdown (HWSS) events of offshore wind turbines, which could be induced by typhoons, a multi-time scale scheduling method is proposed for the power systems integrated with combined wind-storage systems. Firstly, combining the historical and current information, the time-varying hurricane track set is generated by the full-life simulation of the hurricane, which is then integrated into the proposed ambiguity set; Then, the impacts of wind generation fluctuation on various reserve requirements are considered to develop a scheduling framework with constraints of multiple types of reserves to avoid the step increment in power generation of units, which may result in an infeasible scheduling plan. The framework is reformulated as a solvable mixed-integer linear programming problem by deterministic formulation. Finally, a simulated experiment is conducted on the modified IEEE RTS system with 2 offshore wind farms. The experimental result reveals that the proposed scheduling strategy can take full advantage of the flexibility of the combined wind-storage power generation system to enhance the resilience of the power system by preventive scheduling under the extreme hurricane events. This work is supported by National Natural Science Foundation of China (No. 52061635102) and the State Key Laboratory of Disaster Prevention and Reduction for Power Grid Transmission and Distribution Equipment (No. SGHNFZ00FBYJJS2100047).

Original languageEnglish
Pages (from-to)92-100
Number of pages9
JournalDianli Jianshe/Electric Power Construction
Volume44
Issue number2
DOIs
StatePublished - Feb 2023
Externally publishedYes

Keywords

  • combined wind-storage system
  • distributed robust optimization
  • high wind-speed shutdown event
  • multiple reserve demand
  • resilient scheduling

Fingerprint

Dive into the research topics of 'Resilience Scheduling Strategy for Offshore Combined Wind-Storage Power Generation System'. Together they form a unique fingerprint.

Cite this