Cloud-Edge Collaborative Control Technology for Power Grid Construction Based on Holographic Digitization
DOI:
https://doi.org/10.13052/dgaej2156-3306.40563Keywords:
holographic digitization, cloud-edge collaborative technology, multi-load active response units, edge computingAbstract
Contemporary power grid infrastructure faces unprecedented challenges from exponential electrical equipment demand growth and increasing distributed energy resource integration, necessitating fundamental transformations in transmission system reliability and stability management. A hierarchical decentralized control architecture integrating distributed traction consensus algorithms with multi-load active response mechanisms is developed. Edge computing enables real-time perception of grid load variations while coordinating demand-side resource participation through virtual control balance points and load rate balance constraints. Simulation results demonstrate superior performance with 2.8 seconds frequency recovery time (33% faster than centralized control), 0.12 Hz maximum frequency deviation, 15.2 kbps communication overhead (47% lower than conventional approaches), and 94.7% control accuracy. The system maintains effective demand-side resource coordination where air conditioning units contribute 68% and electric vehicles provide 32% of total control capacity. The cloud-edge collaborative control technology effectively manages sudden load increases up to 50 MW in holographic digital grids while maintaining minimal frequency fluctuations, though scalability limitations emerge under 100 MW surge conditions. The seamless integration capability with existing grid energy management systems enables practical deployment for enhancing grid responsiveness and distributed energy resource coordination. This provides a foundation for advancing intelligent power system construction and supporting sustainable energy transition objectives.
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