Research on control strategy of cloud-based terminal user energy management system

In the context of the Internet, various forms of energy are connected with each other, and a large number of end users are involved. With the introduction of a large number of distributed power supply, End-users not only consume power from grid, but also deliver power to the grid. Through the free multilateral internet technology, power generation, transmission and power grid will be closely linked. Advanced big data technology, cloud computing technology and information processing technology are used to achieve energy management of a large number of end user. Cloud energy management system has been established to provide energy management services for a large number of end users. In this paper, the home user is chosen as the representative of the end user. Based on the characteristics of the equipment and the electricity consumption habits of residents, a genetic algorithm is used to solve the optimal scheduling problem. The simulation results show that the method can effectively reduce the cost of electricity consumption.