Aggregation and Adjustment Potential of Load Resources in Multi-Energy Parks Considering Multiple Factors

Due to the fluctuation of park load, there is a lack of reliable data basis for load scheduling. Therefore, a study on the aggregation and regulation potential of multi-energy park load resources considering multiple factors is proposed. By selecting the peak load period as the key time section for diversified aggregation, combined with the prediction results of diversified loads and flexible resources, the load resources under different environmental states are aggregated based on the output power of the park's energy supply system. In the stage of calculating the adjustment potential, it is divided into multiple clusters based on the load type, and the load with the farthest Euclidean distance within the same cluster of the load baseline is taken as the corresponding maximum executable adjustment potential. In the test results, we use source aggregation and adjustment potential analysis structure, the energy self-sufficiency rate of the park remained stable at over 95.0%, and the total energy waste on that day was less than 180.0 kW, corresponding to a load cost of less than 1300 yuan, which was significantly due to the control group.