Capacity Allocation of Wind Farm Energy Storage System Considering Economic Function

doi:10.12096/j.2096-4528.pgt.21073

Abstract

Abstract:

The energy storage system with the ability of bidirectional absorption and release of power, realizes the temporal and spatial transfer of power and provides the key technical support for the safe and friendly integration of wind power into the grid. In practical engineering, the high cost restricts the large-scale application of energy storage. Therefore, when selecting the capacity configuration scheme, the introduction of economic evaluation under the premise of meeting the functional applicability can accelerate the industrialization of energy storage. Combined with the capacity configuration of economic and functional energy storage, this paper integrated three typical evaluation criteria for the economic evaluation of energy storage system, summarized three methods of capacity configuration, and analyzed the advantages and disadvantages of the three methods by comparison. Moreover, the basic process of capacity allocation of energy storage system was given. Finally, the existing problems and future research directions of energy storage configuration were pointed out.

Key words: wind power, energy storage system, capacity configuration, economic evaluation

CLC Number:

TK 81

Xiaoguang CHEN, Xiuyuan YANG, Siqi BU, Zhiqiang XU. Capacity Allocation of Wind Farm Energy Storage System Considering Economic Function[J]. Power Generation Technology, 2022, 43(2): 341-352.

Figures/Tables 6

References 50

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方法	优势	不足
单目标模型	储能系统的经济效益分析计算较为完善，优化目标明确，模型简单、易求解	单一目标有局限性，只能求解单一目标，无法寻优其特定组成元素
双层迭代模型	模型层次清晰，实现多时间尺度协调，可以对细化组成元素进行优化求解	局限于优化目标个数，无法对多个量纲不同的目标进行求解
多目标模型	寻优目标多样，多时间尺度、多量纲，符合实际工程需求	优化模型构成复杂，随着目标函数的增加，求解困难程度增加

方法	优势	不足
单目标模型	储能系统的经济效益分析计算较为完善，优化目标明确，模型简单、易求解	单一目标有局限性，只能求解单一目标，无法寻优其特定组成元素
双层迭代模型	模型层次清晰，实现多时间尺度协调，可以对细化组成元素进行优化求解	局限于优化目标个数，无法对多个量纲不同的目标进行求解
多目标模型	寻优目标多样，多时间尺度、多量纲，符合实际工程需求	优化模型构成复杂，随着目标函数的增加，求解困难程度增加

配置方法	优点	不足
理论分析法	逻辑清晰，有理论支撑	推导过程复杂，忽略运行过程中的不确定性和运行效益
控制仿真求解法	基于历史数据制定满足应用要求的控制方案，并以此为前提求解最小的配置方案，侧重功能应用需求	局限于控制策略的选取，弱化了对储能系统的效益成本分析
模型求解法	对储能系统的经济性分析全面细化，针对不同应用建立相关模型，层次清晰，更符合实际工程需求	随着目标函数的增加，模型求解困难程度增加，且依赖于智能算法

配置方法	优点	不足
理论分析法	逻辑清晰，有理论支撑	推导过程复杂，忽略运行过程中的不确定性和运行效益
控制仿真求解法	基于历史数据制定满足应用要求的控制方案，并以此为前提求解最小的配置方案，侧重功能应用需求	局限于控制策略的选取，弱化了对储能系统的效益成本分析
模型求解法	对储能系统的经济性分析全面细化，针对不同应用建立相关模型，层次清晰，更符合实际工程需求	随着目标函数的增加，模型求解困难程度增加，且依赖于智能算法

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