Coordinated Control Strategy and Economic Analysis of Flywheel Energy Storage Array for Wind Power Suppression

Hai-Jun Luo, Qingping Zhang, Bo Gao, Rui Zhang, Xin Wu, Zhiyong Ma
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Abstract

With the increasing proportion of wind power connected to the grid, the randomness and fluctuation of its output power have an increasing impact on the stability of the grid, and there is an urgent need to smooth out its output power fluctuation. First, an unit model of IMW /0.25MWh flywheel energy storage (FES) is established and its charging and discharging characteristics are analyzed. Then, based on the improved wavelet packet decomposition and T Location-Scale (TLS) distribution method, a FES array capacity configuration method is proposed to determine the required capacity and power of FES array. Then, based on the proportional power distribution of FES units and the charge state control method, a coordinated control strategy for the FES array is proposed to mitigate wind farm power fluctuations, optimize power convergence in each FES unit, and maintain a reasonable charge state. Then, the economic model of wind farm and FES array is established. Finally, based on the operational data of a 15 MW wind farm, the proposed control strategy is simulated and validated, and the economics of the wind farm and FES array are analyzed. The results show that with this control strategy, the wind farm grid-connected power fluctuations can be achieved as specified. Relative to the system without energy storage, this method reduces the maximum output power fluctuations of the wind farm by 50.17% and 6.32% for 1 min and 10 min, respectively, and increases the annual revenue by 15%.
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风力抑制飞轮储能阵列协调控制策略及经济性分析
随着风电并网比例的增加,其输出功率的随机性和波动性对电网稳定性的影响越来越大,迫切需要对其输出功率波动进行平滑处理。首先,建立了IMW /0.25MWh飞轮储能单元模型,并对其充放电特性进行了分析。然后,基于改进的小波包分解和T位置尺度(TLS)分布方法,提出了一种FES阵列容量配置方法,以确定FES阵列所需的容量和功率。然后,基于FES单元的功率比例分布和电荷状态控制方法,提出了FES阵列的协调控制策略,以缓解风电场的功率波动,优化各FES单元的功率收敛,保持合理的电荷状态。然后,建立了风电场和FES阵列的经济模型。最后,基于某15mw风电场的运行数据,对所提出的控制策略进行了仿真验证,并对该风电场和FES阵列的经济性进行了分析。结果表明,采用该控制策略,风电场并网功率波动可按规定实现。与无储能系统相比,该方法使风电场1 min和10 min最大输出功率波动分别降低50.17%和6.32%,年收益增加15%。
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