Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

An adaptive method for tuning process noise covariance matrix in EKF-based three-phase distribution system state estimation

Cetenovic, Dragan, Rankovic, Aleksandar, Zhao, Junbo, Jin, Zhaoyang, Wu, Jianzhong ORCID: https://orcid.org/0000-0001-7928-3602 and Terzija, Vladimir 2021. An adaptive method for tuning process noise covariance matrix in EKF-based three-phase distribution system state estimation. International Journal of Electrical Power & Energy Systems 132 , 107192. 10.1016/j.ijepes.2021.107192

Full text not available from this repository.

Abstract

This paper proposes a new adaptive method for online tuning of process noise covariance matrix in the Extended Kalman Filter based three-phase distribution system state estimator. Specifically, a new form of exponential function is proposed for tuning the process noise covariance matrix, adapting it to the level of state changes. A new indicator derived from normalized innovations of the available real-time and virtual measurements is developed for tracking the level of state changes. The proposed method relies on measurements of the existing distribution networks, and therefore can be easily implemented in the advanced distribution management system. The method efficiently adapts process noise to system state variations and can deal with both quasi steady-state and unexpected sudden state changes caused by changes in the system topology, generation or demand. Comparison results with other state-of-the-art adaptive methods on the modified IEEE 37-bus and IEEE 123-bus distribution systems show that the proposed method achieves better accuracy under quasi steady-state condition while being more robust to unexpected sudden state changes.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Engineering
Publisher: Elsevier
ISSN: 0142-0615
Date of Acceptance: 11 May 2021
Last Modified: 09 Nov 2022 11:12
URI: https://orca.cardiff.ac.uk/id/eprint/142310

Citation Data

Cited 4 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item