• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

ELECTRIC POWER CONSTRUCTION ›› 2023, Vol. 44 ›› Issue (2): 92-100.doi: 10.12204/j.issn.1000-7229.2023.02.009

• New Energy Power Generation • Previous Articles     Next Articles

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

GUO Jun1, LIU Shengwei2(), ZHAO Tianyang2   

  1. 1. State Grid Hunan Electric Power Company Disaster Prevention and Reduction Center, Changsha 410007, China
    2. Jinan University Energy and Electricity Research Center, Zhuhai 519070, Guangdong Province, China
  • Received:2022-06-30 Online:2023-02-01 Published:2023-01-30
  • Supported by:
    National Natural Science Foundation of China(52061635102);State Key Laboratory of Disaster Prevention and Reduction for Power Grid Transmission and Distribution Equipment(SGHNFZ00FBYJJS2100047)

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.

Key words: high wind-speed shutdown event, combined wind-storage system, distributed robust optimization, multiple reserve demand, resilient scheduling

CLC Number: