Load balancing control method for smart grid based on wireless sensor network

Abstract Wireless Sensor Network (WSN), as the terminal information sensing unit of a smart grid, dynamically adjusts power distribution by monitoring the load situation of the grid in real time, and achieves the balance and optimization of grid load. Therefore, this paper proposes a smart grid load-balancing control method based on wireless sensor networks. This method uses wireless sensor nodes deployed at key locations in the power grid to collect operational data and utilizes a hybrid paper swarm algorithm for data processing and analysis to accurately predict and intelligently regulate power grid loads, thereby effectively improving the operational efficiency and stability of the power grid. The experimental results show that the smart grid load balancing control method based on wireless sensor networks proposed in this paper can accurately predict the grid load and effectively achieve load balancing and optimization. Compared with traditional methods, this method has higher prediction accuracy, faster response speed, and stronger robustness.