为提升风火两大主力电源对电网频率的主动支撑能力,提出一种基于多尺度分解的风火储协同调频控制策略。首先,考虑风火及储能参与电网调频时的不同响应时间尺度,提出基于小波包分解的频差指令多尺度分解方法及风火储分别响应中低高频差分量的互补匹配方案;提出适应火电调频响应特性的频差指令低频分量获取方法,发展考虑风电有功裕度和储能容量约束的风储出力自趋优调配方法,实现风火储与中低高频分量的精准对应;针对不同运行工况,提出基于调频裕度的风电场聚类分区方法及风力机有功功率智能调控方法,提升风电场对电网频率的主动支撑能力。仿真结果表明,所提策略能有效实现风火储联合参与一次调频,在满足约束的前提下,充分利用风储调频容量,有效改善系统频率特性。
Abstract
To improve the active support ability of the two major power of wind and thermal to the grid frequency, a cooperative frequency regulation control strategy of wind-thermal-storage based on multi-scale decomposition is proposed. Firstly, considering the different response time scales of wind power, thermal, and energy storage participating in the frequency regulation of power grid, a multi-scale decomposition method of frequency deviation command based on wavelet packet decomposition and a complementary matching scheme of wind-thermal-storage responding to medium, low, and high frequency components are proposed. Then, the low frequency component acquisition method of frequency deviation is proposed to adapt to the response characteristics of thermal power. And considering the constraints of active power reserve of wind farm and energy storage capacity, the self-optimal distribution method of output power of wind farm, thermal, and storage is developed to realized accurate match between wind power, thermal, and storage and medium, low, and high frequency components. Furthermore, according to different operating conditions, the cluster grouping method of wind farms based on active power reserve and intelligent distribution method of active power of wind turbines are proposed to improve the active support ability of wind farms to power grid frequency. Finally, simulation results show that the proposed strategy can effectively realize the participation of the wind-thermal-storage in primary frequency regulation, and make full use of the wind power and storage frequency regulation capacity to effectively improve the frequency characteristics of the system on the premise of meeting the constraints.
关键词
风电并网 /
电网调频 /
小波包分解 /
K-均值聚类 /
协同互补 /
自趋优调配
Key words
wind power integration /
electric frequency regulation /
wavelet decomposition /
K-means clustering /
cooperation and complementarity /
self-optimizing distribution
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基金
国家自然科学基金（U1766204）; 中央高校基本科研业务费专项资金（2023YQ002）
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