Parameter identification for an industrial plant with in-house generators

This paper proposes a new identification process for solving generator parameter identification problem for industrial plants with co-generation facilities by using data from Phasor Measurement Unit (PMU). First of all, a seamless hybrid dynamic method is proposed to implement in commercially available software to realize the equivalent of an external-system outside the buses of PMU boundary. Then, the trajectory sensitivity is adopted to screen out the key parameters. Finally, a high dimension optimization algorithm, Simultaneous Perturbation Stochastic Approximation (SPSA) is used to compute a set of model parameters that provide a best fit between measurements and simulation response. This approach is based on ISO´s view that only PMU measurement data is known, models are unchangeable and condition of system during disturbance is uncertain. The effectiveness and feasibility of the proposed process were demonstrated by processing data from newly installed generator unit in ERCOT system. The experiment showed encouraging results, verifying that the proposed approach was capable of identify parameters with better accuracy.