Model reduction of converters for the analysis of 100% power electronics transmission systems

Abstract

is an open access repository that collects the work of Arts et Métiers ParisTech researchers and makes it freely available over the web where possible. This is an author-deposited version published in: https://sam.ensam.eu Handle ID: .http://hdl.handle.net/10985/14536 To cite this version :Quentin COSSART, Frédéric COLAS, Xavier KESTELYN -Model reduction of converters for the analysis of 100% power electronics transmission systems -Abstract-Because of the fast development of wind and solar photovoltaic power plants, as well as the multiplication of high voltage direct current links, the analysis and simulation of large transmission systems with a high penetration of power electronic converters have become necessary. In this situation, reduced models of converters are needed to make the simulation faster and the stability analysis more straightforward. These reduced models need to be accurate enough, depending on the needed accuracy, and they have to keep the physical structure of the converter full model to be easily implemented on classical analysis software. A structure-preserving method to reduce the state order of a grid forming converter model is presented here. It is based on a modal analysis to remove the fastest poles of the system while keeping the slowest almost unchanged.

An Overview on the Recent Advances of the Voltage Source Converter Control Modes in Terms of their Roles in Transmission Grid Ancillary Services

“…In addition to the droop-based control given in Figs. 10c 10d, other options exist, such as emulation of Synchronous Machines (SM) [55], [56], [57], [58], [59], [60] and more advanced control-oriented strategies [61], [62]. Besides, some comparisons were drawn between different gridforming options in micro grids [63] and in transmission grids [64], [65] and showed similar small-signal behaviors and compatible control laws between each other.…”

A New Fast Track to Nonlinear Modal Analysis of Power System Using Normal Form

“…Clearly, it is possible for a small network to have a very large computational burden due to the number of state variables. One power electronic (PE) converter for instance can have up to 13 state variables [49] which is computationally larger than 6-machine system with classical model.…”

A priori error estimation of the structure-preserving modal model reduction by state residualization of a grid forming converter for use in 100% power electronics transmission systems

“…The question now is how to choose which poles to delete. Usually, the fastest ones (with the highest real part in absolute value) are removed [10] as they are linked to fast transients that are quickly cleared and they don't have any impact on the stability, which is not the case for the poles close to the imaginary axis. But there is no mathematical proof that this is the best solution in terms of accuracy.…”