基于虚拟储能的"光伏+储能+电采暖"系统优化调控方法OA

In view of the seasonal overload of transformers in rural areas of China,the insufficient exploration of collab-orative regulation potential between user photovoltaic-energy storage systems and high heating costs,an optimal control method for distributed electric heating based on virtual energy storage is proposed.First,a virtual energy storage model is developed considering the thermal inertia and thermodynamic characteristics of houses,and the charging and dis-charging of virtual energy storage are managed under the guidance of time-of-use pricing and actual photovoltaic output.Second,users are categorized into differentiated groups,and the operation mode is dynamically switched according to the transformer load rate in the substation area,so as to mitigate the risk of transformer overload.Third,a multi-objec-tive optimization model is established,aiming to minimize heating costs,maximize photovoltaic utilization and optimize the user comfort.In addition,the Big-M method is used to linearize the model,so that an efficient solution is realized.Finally,the proposed method is validated using distributed electric heating parameters from a specific region in Beijing.The results of case studies show that this method can effectively mitigate the power supply pressure on transformers and reduce heating costs while ensuring the user comfort.