互动模式下光伏与电采暖蓄热容量优化配置策略

Optimal Allocation Strategy for Photovoltaic and Electric Heating Thermal Storage Capacities in Interactive Mode

随着国家煤改电政策的推进,蓄热电采暖设备安装规模越来越大,而蓄热电采暖与光伏交互所形成的"光伏+电采暖"互动运行模式是解决光伏消纳和采暖电费成本的有效途径。为此,提出互动模式下光伏安装容量和电采暖蓄热容量的最优联合配置方法。首先建立依据房屋参数和天气信息的热需求分析手段,推导出光伏与电采暖互动模式下蓄热电采暖的用电行为模型。然后依据历史天气信息、按交互关系对运行日累积的全场景运行成本进行分析,以光伏和蓄热体全寿命周期投资运营成本最小为目标建立了优化配置模型,并采用粒子群优化算法进行求解。算例分析表明,所提方法能够经济合理地配置光伏与电采暖蓄热容量。

Along with the promotion of the coal-to-electricity policy at the national level,the installation scale of electric heating(EH)equipment increases continuously.The interactive operation mode of"photovoltaic(PV)+EH"formed by the interaction between thermal storage EH and PV is an effective way to solve the problem of PV absorption and reduce the electricity cost of heating.In this paper,an optimal combined allocation method for PV installation capacity and EH thermal storage capacity in interactive mode is proposed.First,a thermal demand analysis method based on house parameters and weather information is established,and an electricity consumption behavior model of EH thermal storage in interactive mode is derived.Then,according to the historical weather information and the interactive relationship,the overall scenario operation cost accumulated on the operation day is analyzed.To minimize the investment and operation cost of PV and thermal storage during one life cycle,an optimal allocation model is established,which is further solved by the particle swarm optimization(PSO)algorithm.The result of a case study shows that the proposed method can economically and reasonably allocate the PV and EH thermal storage capacities.