Kalman-Filtering-Based Frequency Control Strategy Considering Electrolytic Aluminum Load

Traditional thermal power units are continuously replaced by renewable energies, of which fluctuations and intermittence impose pressure on the frequency stability system. Electrolytic aluminum load (EAL) accounts for large amount local electric loads in some areas. The participation EAL control has huge application prospects. However, controller design is difficult due to measurement noise system nonlinear dynamics EAL’s consumption. Focusing this problem, paper proposes a strategy participate control. For system, response model established transfer function developed based equivalent circuit EAL. problem load-side error, estimation method Kalman-filtering designed. To improve performance control, fuzzy testing examples show that designed Kalman-filter good de-noising measured frequency, better stabilizing than traditional methods.