Optimal Scheduling of Virtual Power Plant Considering New Load Access

• Published in: 2023 IEEE International Conference on Power Science and Technology (ICPST) pp. 697 - 702
• Main Authors: Fulin, Li, Xiao, Qian, Hong, Ye, Keqin, Ji, Jiansheng, Hou, Yilin, Qiao
• Format: Conference Proceeding
• Language: English
• Published: IEEE 05.05.2023
• Subjects: 5G mobile communication; 5G signal base station; Base stations; demand response; dynamic reserve capacity; Dynamic scheduling; Optimal scheduling; Power system dynamics; Simulation; virtual power plant; Virtual power plants
• DOI: 10.1109/ICPST56889.2023.10165472

With the rapid development of mobile communication technology, the construction of 5G base stations shows a large-scale outbreak trend. The standby energy storage configured inside the base station is in the idle state for a long time, and the huge regulatory capacity is in the "sleeping state". Fully tapping the response potential of such resources is conducive to improving the energy storage utilization rate of the base station and reducing the peaking valley difference of the power grid. Firstly, the power supply reliability index is used to evaluate the regulation potential of energy storage resources, and the energy storage model of the base station is established under the condition of ensuring the operational reserve requirements of the base station. Secondly, a dynamic aggregation method of base-station energy storage was proposed, and a virtual power plant (VPP) containing base-station energy storage was constructed. The optimal scheduling was carried out with the goal of maximizing the revenue of the virtual power plant. The simulation results show that the revenue of the scheduling strategy considering the dynamic reserve capacity of base-station energy storage is 4.15% higher than the operating income of the constant reserve capacity.