A Cloud-Based Energy Management Framework with Local Redundancy Control Capability

With the widely use of renewable energy in household smart grid, cloud-based energy management system has been received more and more attention for its ability to store historical data and predict future power. However, there is still limit on reliable and efficient control of household smart grid system under high latency conditions when command from cloud server can not be sent to local controller in real time. This study aims to combine cloud control and local control to realize a cloud energy management framework with local redundancy. Firstly, we analyzed the model of the proposed framework. Then based on this model, we proposed a redundancy control strategy with a two-layer control loop. A switch mechanism between cloud and local control mode was designed to enable system to switch smoothly under different latency conditions. Simulation results show the effectiveness of proposed framework and control strategy in reducing cost and relieving power fluctuation.