Abstract
This paper presents a new approach in estimating important parameters of power system transient stability model such as inertia constant $H$ and direct axis transient reactance $x_{d}^{\prime}$ in real time. It uses a variation of unscented Kalman filter (UKF) on the phasor measurement unit (PMU) data. The accurate estimation of these parameters is very important for assessing the stability and tuning the adaptive protection system on power swing relays. The effectiveness of the method is demonstrated in a simulated data from 16-machine 68-bus system model. The paper also presents the performance comparison between the UKF and EKF method in estimating the parameters. The robustness of method is further validated in the presence of noise that is likely to be in the PMU data in reality.
Highlights
T ECHNICAL investigations of several recent power blackouts revealed that inadequacy of control and mal-operation of protection system led to widespread system outage
The dynamic model parameters of synchronous generators are estimated by processing the phasor measurement unit (PMU) measurements using unscented Kalman filter (UKF); a moment-matching filter that is significantly better than extended Kalman filter (EKF)
The estimation of and using EKF approach shows that the presence of noise in the measured data influences the accuracy of the dynamic model parameter estimation technique
Summary
T ECHNICAL investigations of several recent power blackouts revealed that inadequacy of control and mal-operation of protection system led to widespread system outage. A large majority of the existing control and protection logics are engineered based on model-based simulation. Increasing addition of power electronics interfaced renewable generations at transmission level influence the apparent impedance seen by the out-of-step relay during electromechanical oscillations. All these parametric uncertainties and variations demand regular update of the relay setting to suit to prevalent operating situation. In order to demonstrate the accuracy of the proposed technique, we have worked on data generated from 16-machine 68-bus test system model simulation.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
