Intelligent Power Trading Optimization Control System Based on Cloud-Cluster-Client Collaborative Architecture

Smart home appliances have entered thousands of households. With smart home appliances controlled through apps, home energy management systems develop rapidly. However, large-scale appliances will pose a calculation burden. This article designs and develops an intelligent power consumption optimization control system based on cloud-cluster-client collaborative architecture. The system includes a cloud control platform, smart home cluster, and web application server, which can achieve communication management. When analyzing the real-time electricity prices, the management strategy can generate and issue regulation instructions to optimize the electricity consumption for smart homes. Meanwhile, the system enables consumers to have the lowest electricity bills while meeting various constraints. Finally, user energy-saving behavior can be promoted to realize the charging requirements. Numerical tests are conducted on air conditioners and EV s through software, which shows that the architecture can learn high system economics, using convenience and computational efficiency.