Optimal Allocation Method of Energy Storage Considering Probability Distribution of New Energy Power Fluctuation

DEStech Transactions on Engineering and Technology Research Pub Date : 2020-10-06 DOI:10.12783/dtetr/mcaee2020/35059

Sang Bingyu, Bo Yang, Deshun Wang, Guanjun Li

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Abstract

With constantly increased penetration of new energy power generation such as wind and pv, it has imposed the challenges on operation and control of power systems due to power fluctuations. In order to reduce the influences, an optimal allocation method of energy storage considering probability distribution of new energy fluctuation is proposed. The probability distribution characteristics of different time-scale power fluctuations of new energy power are obtained by probability statistics. According to the probability distribution characteristics and fluctuation index, a probability indicator calculation model which contains time-scale and fluctuation amplitude is set up. The model is then solved by iterative calculations to get minimum compensation power of the required energy storage. Thus, its rated power, capacity and initial state of charge are calculated. This method only compensates the fluctuated power that does not meet the fluctuation index, and has no impact on the power already satisfied. Through calculation and analysis using the data measured from a 50MW photovoltaic power station, the method is proved to be correct and effective.

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考虑新能源功率波动概率分布的储能优化配置方法

随着风电、光伏等新能源发电渗透率的不断提高，电力波动给电力系统的运行和控制带来了挑战。为了减小影响，提出了一种考虑新能源波动概率分布的储能优化配置方法。利用概率统计方法得到了新能源电力不同时间尺度功率波动的概率分布特征。根据概率分布特点和波动指标，建立了包含时间尺度和波动幅度的概率指标计算模型。然后通过迭代计算对模型进行求解，得到所需储能的最小补偿功率。从而计算出其额定功率、容量和初始充电状态。该方法只补偿不满足波动指标的波动功率，对已满足的功率没有影响。通过对某50MW光伏电站实测数据的计算分析，验证了该方法的正确性和有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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DEStech Transactions on Engineering and Technology Research

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