Estimating dynamic model parameters for adaptive protection and control in power system

Mam, Ariff and Pal, Bikash and Singh, Abhinav (2015) Estimating dynamic model parameters for adaptive protection and control in power system. In: Power & Energy Society General Meeting, 2015 IEEE, 26 - 30 July 2015, Denver, CO, USA.

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Item Type:Conference or Workshop contribution (Presentation)
Item Status:Live Archive

Abstract

Summary form only given. 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 xprimed 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.

Keywords:Adaptation models, Power system stability, Phasor measurement units, Adaptive systems, Power system transients, Stability analysis, Power system dynamics
Subjects:H Engineering > H660 Control Systems
H Engineering > H631 Electrical Power Generation
H Engineering > H630 Electrical Power
Divisions:College of Science > School of Engineering
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ID Code:28773
Deposited On:02 Oct 2017 13:52

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