Construction of Intelligent Power Grid Load Management System Based on Artificial Neural Network Algorithm

Smart grid comprehensively monitors the power load of power users through information interaction with power customers and the implementation of time-of-use price, and advocates the use of smart home appliances and the vigorous development of energy storage equipment, encouraging distributed green energy to generate electricity online, which is conducive to the in-depth development of power demand side management, stabilizing power grid load, improving power generation efficiency, reducing energy consumption and protecting the environment. In this paper, based on ANN (Artificial Neural Network) algorithm, a smart grid load management system is constructed. Power load management system, as an important technical means to implement power demand side management, not only supports the successful implementation of orderly power consumption measures in China. The research results show that the forecasting effect of this system is still good as a whole, and it can be found that the actual load is close to the predicted load through experimental comparison. At the same time, the error value is small. Based on ANN algorithm, this paper realizes the purpose of safe and economic operation of smart grid, and its importance has attracted more and more attention from the national government, power enterprises and power users.