计及电储、热储响应特性，考虑热负荷温控特性，提出一种多能源微网中混合储能容量配置方法，有效提高系统的可靠性和经济性。首先，定义新能源出力和电负荷之间的净负荷功率指标，基于电储和热储响应速度的差异性，通过离散傅里叶变换分解净负荷功率来确定电储、热储的分配功率；其次，在热负荷侧，考虑光热电站储热系统和热泵调控热负荷的能力，建立热储能温控特性模型；最后，综合考虑系统投资成本、运维成本、缺电惩罚费用、弃风惩罚费用，建立以最小等年值费用为目标函数的多元混合储能双层容量优化模型。模型外层通过优化傅里叶分段点确定储能功率分配，进而得到混合储能容量范围；内层利用混合整数线性规划得到混合储能容量配置，实现储能功率分配和容量配置的双层优化。通过实际微网算例验证了所提方法的经济性和有效性。

Considering the response characteristics of electric and thermal energy storage and the temperature control characteristics of thermal load, a method for allocating hybrid energy storage capacity in multi-energy microgrid is proposed to improve the reliability and economy of the system in this paper. Firstly, the net load index between new energy output and electric load is defined. Based on the difference of response speed between electric storage and thermal storage, the power distribution of electric and thermal storage is determined by discrete Fourier transform decomposition of net load power. Secondly, on the thermal load side, a temperature control model of thermal energy storage is established, considering the capacity of thermal storage system in concentrating solar power (CSP) and heat pump to regulate thermal load. Finally, considering the system investment cost, operation and maintenance cost, power shortage penalty cost and wind abandonment penalty cost, a multi-element hybrid energy storage double-layer capacity optimization model with minimum equivalent annual cost as the objective function is established. The outer layer of the model determines the energy storage power allocation by optimizing the Fourier subsection points, and then obtains the range of hybrid energy storage capacity. The inner layer uses mixed integer linear programming (MILP) to get the hybrid energy storage capacity allocation, which realizes the bi-level optimization of energy storage power allocation and capacity allocation. The economy and effectiveness of the proposed method are verified by a case study of an actual microgrid.