TY - JOUR
T1 - Resilience Scheduling Strategy for Offshore Combined Wind-Storage Power Generation System
AU - Guo, Jun
AU - Liu, Shengwei
AU - Zhao, Tianyang
N1 - Publisher Copyright:
© 2023, State Power Economic Research Institute. All rights reserved.
PY - 2023/2
Y1 - 2023/2
N2 - 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).
AB - 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).
KW - combined wind-storage system
KW - distributed robust optimization
KW - high wind-speed shutdown event
KW - multiple reserve demand
KW - resilient scheduling
UR - https://www.scopus.com/pages/publications/85150931791
U2 - 10.12204/j.issn.1000-7229.2023.02.009
DO - 10.12204/j.issn.1000-7229.2023.02.009
M3 - 文章
AN - SCOPUS:85150931791
SN - 1000-7229
VL - 44
SP - 92
EP - 100
JO - Dianli Jianshe/Electric Power Construction
JF - Dianli Jianshe/Electric Power Construction
IS - 2
ER -