Adaptive correction of AC power measurement error based on quantum voltage

In complex power grid environments, traditional static calibration methods face challenges such as nonlinear interference and random noise, resulting in significant calibration errors. Therefore, a quantum voltage based adaptive correction method for AC power measurement error is proposed. Firstly, design a hybrid reconstruction mechanism based on 12 level step waves and 60 point differential sampling, combined with quantised averaging and FFT to achieve high-precision reproduction of AC power signals; secondly, the error transfer formula is derived using commutation differential measurement technology to suppress the impact of insufficient component accuracy; finally, an adaptive correction strategy based on EM-KF is proposed, which eliminates gross errors through the Romanovsky criterion and achieves real-time error correction in dynamic environments using Bayesian models. The experimental results show that the proposed method achieves a relative error reduction percentage of 32.45%-37.23% in the test, and only requires 86.78-95.67 ms in the mutation response correction time test.