Application of LSTM and Ant Colony Algorithms in Intelligent Power Plant Scheduling

Power dispatching is a very effective management method in the management of safe and stable operation of power grid and external power supply, but too much historical power generation data and information is not processed, resulting in ineffective utilization. Manual methods cannot solve the large amount of information feedback from the device. Therefore, an intelligent dispatching algorithm based on LSTM and ant colony algorithm is proposed for power dispatching analysis. First of all, the computer is used to sort out and analyze the power data information, and the indicators are divided according to the power dispatching requirements to reduce power dispatching in the interfering factor. Then, the computer optimizes the power dispatch of the power system to form a power dispatching scheme and dispatch the power The results were comprehensively analyzed. MATLAB simulation shows that the intelligent dispatching algorithm based on LSTM and ant colony algorithm is feasible for power dispatching under certain evaluation criteria The efficiency of power dispatching is better than that of manual methods.