Research on New Energy Grid-connectedControl Technology in Electrical EngineeringAutomation for University Microgrids
Journal: Region - Educational Research and Reviews DOI: 10.32629/rerr.v7i8.4517
Abstract
This study aims to enhance grid reliability and operational efficiency by establishing an automated technology framework encompassing "data acquisition, control decision-making, and execution feedback". Through integrated digital modeling monitoring and information-based collaborative control strategies, the research utilizes edge computing, digital twin technology, and an optimized PSO-PID algorithm to demonstrate the automation system's effectiveness in optimizing grid status monitoring and process control. The findings validate the framework's capability to address renewable energy output fluctuations and load mismatch issues, providing technical support for large-scale renewable energy integration in university microgrids while addressing limitations of conventional control approaches.
Keywords
university microgrid, electrical engineering automation technology, new energy, grid-connected control
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