基于多元储能的光储微网电-热协同存储策略研究
Research on power-to-heat collaborative storage strategy of photovoltaic and energy-storage microgrid based on multi-energy storage
摘要：
为了提高光储微网的经济性及运行可靠性,提出了一种基于多元储能系统的电-热协同存储策略。首先,建立了多元储能系统运行模型,并通过变分模态分解将多元储能系统需承担的功率进行了分解;进而依据各储能设备的响应特性将分解后得到的分量进行了重构,并采用电-热协同存储策略来确定各储能设备的出力计划与容量配置;最后,基于各储能设备的运行状态,引入模糊控制算法对储能设备的分配功率指令进行了实时修正。结果表明:本文所提出的策略使储能系统年化成本下降了约14.98%,节省了约66.05万元,并提高了系统的长期平抑波动能力与电-热协同存储的协调能力。
Abstract：
To improve the economy and operation reliability of the photovoltaic and energy-storage microgrid, a power-to-heat collaborative storage strategy based on a multi-energy storage system is proposed. Firstly, the operation model of the multi-energy storage system is established, and the power required by the multi-energy storage system is decomposed by the variational mode decomposition. Then, the decomposed components are reconstructed according to the response characteristics of each energy storage device, and the output plan and capacity configuration of each energy storage device are determined by using the power-to-heat collaborative storage strategy. Finally, according to the operation state of each energy storage device, the fuzzy control algorithm is introduced to correct the distribution power command of the energy storage devices in real time. The results show that the strategy proposed in this paper reduces the annual cost of the energy storage system by about 14.98%, saves about 660 500 yuan, and improves the long-term fluctuation suppression ability of the system and the coordination ability of the power-to-heat collaborative storage.
Keywords:multi-energy storage; photovoltaic and energy-storage microgrid; power-to-heat collaborative storage strategy; variational mode decomposition; fuzzy control; state of charge