A Data Driven Approach for Monitoring Puncture Events in Capacitor Voltage Transformers
Journal article, 2021

In 2014 a number of Capacitor Voltage Transformers (CVTs) exploded in the Swedish transmission grid. To address this problem, data driven methods for continuously monitoring CVTs were developed. Thanks to these methods, CVT capacitor punctures are now regularly noticed and addressed before causing serious damage. This paper describes the algorithms used to make this possible. Detecting all CVT capacitor punctures as they occur increases the transmission system stability, avoids equipment damage, lowers risks to personnel when visiting the substations and makes it possible to correct measurement errors in the energy measurement systems. Automatic supervision scripts, using energy meter data, are running continuously and will alert the service personal immediately when problems occur. With the algorithms proposed in this article, the Swedish National Grid (Svk) has detected many old punctures and expects no future capacitor punctures to go undetected. Detecting all new punctures enables Svk to save substantial future cost since planned actions now are possible.

Capacitors

capacitor voltage transformer CCVT

Voltage measurement

health

Voltage transformers

Substations

asset management

Monitoring

algorithms

puncture

Energy measurement

Phase measurement

unbalance

CVT

monitoring

Author

Anders Lindskog

Swedish national grid

Torbjörn Thiringer

Chalmers, Electrical Engineering, Electric Power Engineering, Electrical Machines and Power Electronics

Tommie Lindquist

Swedish national grid

IEEE Transactions on Power Delivery

0885-8977 (ISSN)

Vol. In Press

Subject Categories

Other Computer and Information Science

Communication Systems

Other Electrical Engineering, Electronic Engineering, Information Engineering

DOI

10.1109/TPWRD.2021.3104906

More information

Latest update

9/8/2021 6