Technological Optimization of Smart Operation Platforms for Virtual Power Plants Based on a Cloud-Edge-Endpoint Collaborative Architecture

The rapid integration of distributed energy resources and renewable energy systems into modern power grids has necessitated the development of intelligent operation platforms for Virtual Power Plants (VPPs). This study explores the technological optimization of a VPP smart operation platform based on a cloud-edge-endpoint collaborative architecture. The proposed architecture leverages cloud computing for centralized data analysis and optimization, edge computing for real-time decision-making and control, and endpoint devices for local monitoring and execution. Key challenges such as data transmission latency, resource allocation, and system scalability are addressed through innovative algorithms and optimization techniques. The framework ensures efficient coordination across all layers, enabling the VPP to enhance operational efficiency, reliability, and scalability. Experimental results demonstrate significant improvements in resource utilization, system responsiveness, and overall performance, providing a practical solution for the intelligent management of VPPs in dynamic energy environments.