张江丰,葛一统,谭珺敉,夏红军,郑可轲,姚海燕,彭晓涛
ZHANG Jiangfeng,GE Yitong,TAN Junmi,XIA Hongjun,ZHENG Keke,YAO Haiyan,PENG Xiaotao

• 1:国网浙江省电力有限公司电力科学研究院
• 2:国网浙江省电力有限公司杭州市临平区供电公司
• 3:综合能源电力系统装备及系统安全湖北省重点实验室
• 4:武汉大学电气与自动化学院

摘要(Abstract)：

从优化风储系统调频动态特性出发，研究了ESS（储能系统）在考虑SOC（荷电状态）情况下协同风电场调频的策略。首先，研究不同风速下DFIG（双馈风机）基于变比例调速实现差异化惯量支撑的策略，进一步利用双层协同控制确定分布式储能协调风电场调频的功率指令。然后，以储能SOC为状态变量，基于一致性算法提出考虑储能SOC和功率调节能力差异的调频功率指令分配策略，实现分布式储能按照SOC状态进行功率分配。最后，通过仿真验证了所提策略的有效性。结果表明，该策略可协调分布式储能与风电场提供调频响应，同时能快速恢复风机MPPT（最大功率点跟踪）运行方式，避免系统二次频率扰动。
Commencing with the dynamic characteristic optimization of frequency regulation of wind energy storage systems, this study delves into a coordinated frequency regulation strategy between energy storage systems(ESS) and wind farms, taking into account the state of charge(SOC). Firstly, it investigates the strategy of differential inertia support using variable-ratio speed regulation of the doubly-fed induction generator(DFIG) under varying wind speeds. Subsequently, a two-tiered coordinated control approach is employed to determine the power command to synchronize distributed energy storage with wind farm frequency regulation. Then, with the energy storage SOC as a state variable, a strategy for allocating frequency regulation power commands is proposed based on a consensus algorithm. This strategy considers the disparities in energy storage SOC and power regulation capabilities, facilitating power allocation for distributed energy storage based on SOC status. Finally, the efficacy of the proposed strategy is validated through simulation. The findings demonstrate that this strategy effectively coordinates distributed energy storage with wind farms to provide frequency response, swiftly recovering the operation mode of maximum power point tracking(MPPT) of wind turbines and thereby averting secondary frequency disturbances in the system.

关键词(KeyWords)： 风储系统;分布式储能;频率调节;协同控制;一致性算法
wind energy storage system;distributed energy storage;frequency regulation;coordinated control;consensus algorithm

Abstract:

Keywords:

基金项目(Foundation): 国网浙江省电力有限公司科技项目（5211DS22000Q）;; 国家自然科学基金（52237004）

作者(Author): 张江丰,葛一统,谭珺敉,夏红军,郑可轲,姚海燕,彭晓涛
ZHANG Jiangfeng,GE Yitong,TAN Junmi,XIA Hongjun,ZHENG Keke,YAO Haiyan,PENG Xiaotao

DOI: 10.19585/j.zjdl.202409008

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