Error prevention adaptive optimization model for power dispatch under time redundancy control

Power dispatch is a real-time process that requires accurate decisions to be made in a short period of time. It is necessary to improve the calculation speed as much as possible while ensuring the accuracy of the calculation, in order to meet the real-time requirements. Therefore, a design method for error-proof adaptive optimization model of power dispatch under time redundancy control is proposed. Build an intelligent monitoring platform for the operation status of power dispatch equipment, and use this platform to achieve real-time analysis and processing of power grid operation data. Use state estimation method to obtain accurate state estimation results of the power system, use fuzzy logic method for error analysis, reduce the impact of errors, and improve the operational efficiency and stability of the power system. Finally, by controlling time redundancy, the stability of basic parameters such as voltage and frequency in the power system is ensured, achieving rapid start–stop of generator units and flexible load adjustment and improving the schedulability and economy of the power system. Experimental results show that the proposed method can effectively reduce the root mean square error and average absolute error of error prevention results at the power dispatching terminal and ensure the stability of power system operation, and the model calculation speed is fast, which verifies the effectiveness of the method.