A smooth method for primary frequency of wind turbine based on variable power point tracking and energy storage cooperative control

Sen Cui, A. Siddique, Waseem Aslam, Atif M. Alamri, Salman A. Alqahtani
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Abstract

The conventional deloading control has certain problems, such as low power generation efficiency and a small speed adjustment range. To improve the system's frequency quality and enhance the power grid's stability, this study comprehensively considers the effect of random source‐load power fluctuations on the system frequency. Moreover, this study proposes a smooth primary frequency control strategy for wind turbine based on the coordinated control of the variable power point tracking and supercapacitor energy storage. The impact of wind power fluctuations on the system frequency at different timescales for wind turbine is studied based on the historical data of wind power fluctuations in a strong wind meteorological cycle of a wind farm. The method determines the capacity of the energy storage device required for frequency smoothing at the optimal timescale. In combination with the required capacity of the wind turbine to participate in the system's primary frequency regulation, the supercapacitor energy storage device is optimally configured, and a set of supercapacitor energy storage device with the lowest cost under the highest charging/discharging efficiency is designed. Simulation and experimental results show that the primary frequency adjustment capability of the control strategy proposed in this study is significantly improved compared with the conventional primary frequency modulation control.
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基于变功率点跟踪和储能协同控制的风力涡轮机一次频率平滑方法
传统的脱扣控制存在发电效率低、调速范围小等问题。为改善系统频率质量,提高电网稳定性,本研究综合考虑了随机源-负载功率波动对系统频率的影响。此外,本研究还提出了一种基于变功率点跟踪和超级电容器储能协调控制的风力发电机平滑一次频率控制策略。根据风电场强风气象周期的风电波动历史数据,研究了风电机组在不同时间尺度上的风电波动对系统频率的影响。该方法确定了在最佳时间尺度上平滑频率所需的储能设备容量。结合风机参与系统一次频率调节所需的容量,对超级电容器储能装置进行优化配置,设计出一套充放电效率最高、成本最低的超级电容器储能装置。仿真和实验结果表明,与传统的一次频率调制控制相比,本研究提出的控制策略的一次频率调节能力显著提高。
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