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含海上风储联合发电系统的韧性调度策略
引用本文:郭俊,刘升伟,赵天阳.含海上风储联合发电系统的韧性调度策略[J].电力建设,2023,44(2):92-100.
作者姓名:郭俊  刘升伟  赵天阳
作者单位:1.国网湖南省电力有限公司防灾减灾中心, 长沙市 4100072.暨南大学能源电力研究中心,广东省珠海市 519070
基金项目:国家自然科学基金项目(52061635102);电网输变电设备防灾减灾国家重点实验室开放项目(SGHNFZ00FBYJJS2100047)
摘    要:为应对台风诱发的海上风电机组高风停机(high wind-speed shutdown, HWSS)事件,提出了一种含风储联合发电系统的多时间尺度协调调度方法。首先,基于历史和即时信息进行台风全生命周期模拟,得到强度时变的台风轨迹集合;基于台风轨迹和风电出力曲线,进一步计算该台风轨迹集合下风电场的可用出力,并纳入所提出的模糊集合中。其次,考虑风电出力波动对各类型备用需求的影响,提出了多类型备用需求的次小时级调度框架,以避免机组小时阶跃变化造成调度方法不可行的风险。然后,在此基础上,通过确定性转化形成可求解的混合整数线性规划问题。最后,在增加了2个海上风电场的IEEE-RTS系统上进行了仿真实验。实验结果表明,所提出的调度策略能够在台风极端天气下,充分利用风储联合发电系统的灵活性,通过预调度提升系统韧性。

关 键 词:高风停机事件  风储联合发电  分布鲁棒优化  多备用需求  韧性调度
收稿时间:2022-06-30

Resilience Scheduling Strategy for Offshore Combined Wind-Storage Power Generation System
GUO Jun,LIU Shengwei,ZHAO Tianyang.Resilience Scheduling Strategy for Offshore Combined Wind-Storage Power Generation System[J].Electric Power Construction,2023,44(2):92-100.
Authors:GUO Jun  LIU Shengwei  ZHAO Tianyang
Affiliation:1. State Grid Hunan Electric Power Company Disaster Prevention and Reduction Center, Changsha 410007, China2. Jinan University Energy and Electricity Research Center, Zhuhai 519070, Guangdong Province, China
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.
Keywords:high wind-speed shutdown event  combined wind-storage system  distributed robust optimization  multiple reserve demand  resilient scheduling  
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