On-Line Estimation of Variable Parameters of Synchronous Machines sing a Novel Adaptive Algorithm - Estimation and Experimental Verification
نویسنده
چکیده
On-line estimation of variable parameters of synchronous machines based on a novel adaptive algorithm is presented. The estimation process involves instantaneous parameter tracking and subsequent data processing. The variable parameters are ultimately expressed as nonlinear functions of operating conditions. On-line estimation process is applied to a IOOMVA turbogenerator. While this paper deals with application of the on-line estimation method and experimental verification, principle discussion and development of the novel adaptive algorithm are detailed in a companion paper.
منابع مشابه
On-Line Estimation of Variable Parameters of Synchronous Machines Using a Novel Adaptive Algorithm - - Energy Conversion, IEEE Transactions on
A novel adaptive algorithm is presented for on-line estimation of variable parameters of a synchronous machine (SM) as a function of the operating conditions. The concept of Synthesized Information Factor (SIF) is proposed as the core of the novel adaptive algorithm. For continuous process, SIF optimally combines information from the past with that at the present. Adaptive principles based on S...
متن کاملTuning of Extended Kalman Filter using Self-adaptive Differential Evolution Algorithm for Sensorless Permanent Magnet Synchronous Motor Drive
In this paper, a novel method based on a combination of Extended Kalman Filter (EKF) with Self-adaptive Differential Evolution (SaDE) algorithm to estimate rotor position, speed and machine states for a Permanent Magnet Synchronous Motor (PMSM) is proposed. In the proposed method, as a first step SaDE algorithm is used to tune the noise covariance matrices of state noise and measurement noise i...
متن کاملOnline State Space Model Parameter Estimation in Synchronous Machines
The purpose of this paper is to present a new approach based on the Least Squares Error method for estimating the unknown parameters of the nonlinear 3rd order synchronous generator model. The proposed method uses the mathematical relationships between the machine parameters and on-line input/output measurements to estimate the parameters of the nonlinear state space model. The field voltage is...
متن کاملHarmonics Estimation in Power Systems using a Fast Hybrid Algorithm
In this paper a novel hybrid algorithm for harmonics estimation in power systems is proposed. The estimation of the harmonic components is a nonlinear problem due to the nonlinearity of phase of sinusoids in distorted waveforms. Most researchers implemented nonlinear methods to extract the harmonic parameters. However, nonlinear methods for amplitude estimation increase time of convergence. Hen...
متن کاملModified Impedance-Based OOS Protection Based on On-Line Thévenin Equivalent Estimation
In this paper, a novel approach based on the Thévenin tracing is presented to modified conventional impedance-based out-of-step (OOS) protection. In conventional approach, the OOS detection is done by measuring positive sequence impedance. However, the measured impedance may be change due to different factors such as capacitor bank switching and reactive power compensators that it can cause the...
متن کامل