SwoP - Impact of switched voltage waveforms on power components and grids

Work Packages

Initiation of PD: Understand and experimentally verify impact of statistical time lag, space charge and SCLF for initiation of PD to develop reliable factory testing of components.
Detection and characterization of PD under ns rise time stresses: Develop methods using electrical, VHF/UHF and optical signal acquisition to detect and characterize PD under nanosecond rise time stresses.
On-line PD detection system for noisy environments: A measuring system using the most promising sensor technologies and digital signal processing will be implemented in a system for measuring PD under PEC stresses in relevant environments.

Liquid insulation systems: Investigate degradation over time in silicone gel and impregnated insulation for transformers to provide knowledge about long term degradation and probability of failure in liquid insulation systems.
Solid insulation systems: This task will investigate degradation on surfaces and internal defects in solid insulation systems.
Test object geometry/combined insulation systems: Investigate how materials and model testing can be used to predict reliability in more complex components.
Classification of defects: Use quantitative, statistical, hybrid, and data driven methods for interpretation and classification of partial discharge activity.

Novel methods for EM-field detection: Develop methods for measuring electric field strength and voltage distribution on high voltage rotating machine field grading under PEC stress.
Modelling/prediction of voltage distribution under PEC Stresses: Methods for modelling voltage distribution/stress and joule heating in non-linear field grading materials will be developed.

Internal and external component stress: Develop frequency-dependent models for apparatuses in wind farms, and motor drives for use in Electromagnetic Transient (EMT) programs.
System-wide modelling of stresses: Using the obtained models, set up relevant systems in suitable EMT programs for time domain simulations.
On-site measurements in laboratory environment: Develop and build laboratory facility for testing of methods and models – scaled to be representative but still economically feasible.