Optimal Capacity Allocation Method of Multi-types of Energy Storage for Wind Power Plant

2023 IEEE International Conference on Power Science and Technology (ICPST) Pub Date : 2023-05-05 DOI:10.1109/ICPST56889.2023.10164938

An Haiyun, Li Wenbo, Jia Yuqiao

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Abstract

In order to determine the installed capacity of the wind farm energy storage system and the power curve, an optimal capacity allocation algorithm for a multiple types of energy storage system consisting of lithium batteries, flywheels, supercapacitors is proposed according to the their complementary and operating characteristics. The algorithm can realize the consumption of wind power and minimize the economic cost. Firstly, a wind power model is constructed considering of wind power output fluctuation smoothing and wind power consumption, and the models and constraints of energy storage is established based on operational and economic characteristics. Secondly, the impact of different weighting factors on the capacity allocation results is analyzed and the better values of the weighting factors are identified. Finally, on this basis, considering the wind power consumption, economic cost, power compensation and load-peak difference, construct the objective function and find the optimal solution, and use the result to allocate the capacity of the multiple types of energy storage.

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风电场多类型储能容量最优分配方法

为了确定风电场储能系统的装机容量和功率曲线，根据锂电池、飞轮、超级电容器的互补性和运行特性，提出了一种由锂电池、飞轮、超级电容器组成的多类型储能系统的最优容量分配算法。该算法可以实现风电的消纳和经济成本的最小化。首先，考虑风电输出波动平滑和风电消纳，构建风电模型，并根据运行和经济特点建立储能模型和约束条件;其次，分析了不同权重因子对容量分配结果的影响，确定了权重因子的较优值;最后，在此基础上，综合考虑风电耗电量、经济成本、电力补偿和负荷峰差等因素，构建目标函数并寻找最优解，利用结果对多类型储能的容量进行分配。

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2023 IEEE International Conference on Power Science and Technology (ICPST)

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