With the high penetration level of wind power,technical requirements of wind plant inertia response have been put forward by power system.The control of wind turbine rotor can provide certain energy instantaneously for system inertia. However,it is not effective for all working conditions,such as low wind speed or high wind speed.In order to solve this problem,a solution to fulfil the performance of wind power plant inertia response is presented,which combines the control of wind turbines and energy storage.Furthermore,the demand of energy storage capacity with different wind speeds is analyzed, and the method based on non-parametric kernel density estimation is proposed to determine the storage allocation capacity with different confidence levels,which effectively avoid the disadvantages of the traditional parameter estimation method that depends on the distribution characteristics of wind speed.In the end,analysis of calculation examples proves the effectiveness of the proposed method in reducing the storage capacity as well as improving the economic efficiency of energy storage on participating in wind power plant inertia response.%在当前风电高渗透率的背景下,电力系统对风电场的惯性响应能力提出了相应的技术要求。风电机组通过转子惯性控制可以提供一定的支撑,但受转子转速限制,风电机组难以在全风况下满足惯性响应需求。针对该问题,文中提出储能参与风电场惯性响应,将风电机组的转子惯性控制和储能控制相结合,使风电场具备类似于传统电源的惯性响应能力,并分析了不同风况下的储能容量需求,提出了基于非参数核密度估计的储能容量配置方法,摆脱了传统参数估计法对风速分布特性的依赖。算例分析表明,所提方法可有效降低储能配置容量,提高储能参与风电场惯性响应的技术经济性。
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