ETD Collection

Permanent URI for this collectionhttps://wiredspace.wits.ac.za/handle/10539/104


Please note: Digitised content is made available at the best possible quality range, taking into consideration file size and the condition of the original item. These restrictions may sometimes affect the quality of the final published item. For queries regarding content of ETD collection please contact IR specialists by email : IR specialists or Tel : 011 717 4652 / 1954

Follow the link below for important information about Electronic Theses and Dissertations (ETD)

Library Guide about ETD

Browse

Filters

20221

Settings

Author: search.filters.author.Eardley, ArloSubject: search.filters.subject.Covariance

Search Results

Now showing 1 - 1 of 1
  • Thumbnail Image
    Item
    A covariance based method to describe power processing in power electronics converters
    (2022) Eardley, Arlo
    This paper explores the use of a new topology evaluation framework to describe the internal power processing of a power electronics converter. This method is called the matrix method and leverages off a covariance matrix to describe power processing patterns in a power electronics converter. Covariance measures how two signals interact with each other. The covarianc between the power waveforms of the components in a converter describes how these components interact in terms of power. These are called “power interactions”. These power interactions between component powers provide insight into the power processing of a topology. The covariance matrix contains all combinations of component power pairs. This aims to describe all the power interactions components have in the entire converter. The covariance matrix is interpreted as describing the power processing inside a converter, where circulating power is occurring and which components are most involved in power processing. The covariance matrices of converters are able to be compared in a quantitative manner with the aim of providing a more justifiable reason for topology selection rather than personal bias. The matrix method is shown to be aligned with the principles of differential power theories. The matrix method is shown to be useful in comparing topologies, aiding in the topology selection process