With a focus on the research of energy storage configuration and aimed at the problems such as incomplete data and poor data quality of distributed photovoltaic output, a configuration method for the basic responsiveness capability of energy storage based on the extreme value theory is proposed. First, a probabilistic analysis method for distributed photovoltaic output based on generalized extreme value distribution is put forward, and the power data under different granularities of extreme value is fitted and analyzed. Second, with two goals of reducing the photovoltaic abandonment rate and smoothing the output fluctuation normally, the configuration method for the basic responsiveness capability of energy storage is proposed based on the return period and return level of distributed photovoltaic output. Finally, the feasibility and extensibility of the proposed method are verified by simulations of an example based on the output data of a distributed photovoltaic power station in a certain area. Results show that the generalized extreme value distribution can achieve a good fitting of distributed photovoltaic output distribution, and the dependence on data accuracy is minor. Meanwhile, the configuration results of the basic responsiveness capability of energy storage given by the proposed method agree with the minimum storage capacity requirements for photovoltaic projects in some provinces of China.

Distributed photovoltaic  /  generalized extreme value distribution  /  energy storage  /  return period  /  return level