Cloud computing-Based Grid-Connected Scheduling Technology for New Energy Distributed Power Generation

Abstract

With the continuous development of new energy distributed power generation, the optimization of grid-connected scheduling technology becomes particularly important. This paper introduces the basic architecture of cloud computing platform and its application in new energy grid-connected scheduling. It discusses the design of distributed storage for data collection and transmission and microgrid big data. By virtue of the virtual power plant objective function and its constraints, such as power balance, generating unit operation, and wind and light abandonment and storage operation, an efficient new energy distributed generation grid-connected scheduling technique is realized. The results show that through this technique, the operating frequency of the microgrid is strictly controlled within a safe range, in which the maximum value of the frequency is less than 50.5 Hz and the minimum value is higher than 49.8 Hz, which ensures the stability of the power grid. In the economic analysis, at the 13:00 moment of the peak power demand, the output of unit 1 and unit 2 reached 397.5kW and 312.7kW respectively by the method of this study. cloud computing not only improves the efficiency of energy utilization, but also significantly improves the economic efficiency of the grid, and provides a new direction for the grid-connected scheduling of new energy distributed generation.