Implementation of conduction and polarization mechanisms in transient FEM simulations of HVDC insulation systems

Konferenz: VDE-Hochspannungstechnik 2018 - ETG-Fachtagung
12.11.2018 - 14.11.2018 in Berlin, Deutschland

Tagungsband: ETG-Fb. 157: VDE-Hochspannungstechnik

Seiten: 6Sprache: EnglischTyp: PDF

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Wirth, Isabell; Zink, Markus H.; Kuechler, Andreas (Hochschule Würzburg-Schweinfurt, Schweinfurt, Germany)
Berger, Frank (Universität Ilmenau, Ilmenau, Germany)
Schnitzler, Tim (HSP Hochspannungsgeräte GmbH, Troisdorf, Germany)

The calculation of electrical field distributions in insulation systems for high voltage direct current (HVDC) transmission using the finite element method (FEM) usually only considers the dielectric properties in the form of permittivities and conductivities. Due to not sufficiently well simulated transient processes, state of the art is considering the polarization processes by equivalent network models. The application and implementation of polarization mechanisms in a FEM software closes this gap and allows calculating the electric field distribution more precisely. An implementation of additional differential equations, according to the RC-network model, describing the field dependent polarization mechanisms, are complementing the displacement and conduction current. Material equations and their parameters are determined by measuring the polarization and depolarization currents (PDC). These equations are necessary for both the RC-network models and the differential equations for the FEM. They can be adapted to the actual temperatures in the insulation system. Hence, the necessarily multidimensional electric field calculations of complex insulation systems with stationary or transient temperature-gradients are possible. The described calculation method is verified by reactionless fieldmill voltmeter measurements of transient voltage profiles at the grading foils of modified high voltage DC-bushings. A better accuracy is achieved for the simulation of transient and stationary potential distributions.