Online Parameter Estimation Considering Input Errors for Synchronous Generation Systems

Parameter estimation of synchronous generation systems helps system operators develop control schemes to enhance system stability and reliability. However, the input signals used in the online estimation are measured with errors and their direct usage may produce biased parameters. To handle this problem, an online parameter estimation method considering input errors is proposed. A Lagrange multiplier-based input variable selection method is further proposed to reduce the scales of estimation problem and improve the computational efficiency. In order to avoid ill-conditioned problem resulted from input error over-fitting, a Tikhonov regularisation approach is applied and the optimal regularisation parameter is determined via cross-validation. In the case study, the numerical experiments and real-world results validate the effectiveness and advantages of the proposed method.