Journal article
Coupling of neighbouring low voltage residential distribution feeders for voltage profile improvement using power electronics converters
IET Generation, Transmission & Distribution, Vol.10(2), pp.535-547
2016
Abstract
Low voltage feeders (LVFs) experience several voltage quality (VQ) issues such as voltage drop at network peak periods, voltage rise at middays when high number of rooftop photovoltaic cells (PVs) are existing in the feeder, rapid voltage fluctuations as the results of the clouds effects on the power generation of PVs, and voltage unbalance due to the inherent random characteristics of the single-phase loads and PVs. This study addresses these problems by proposing the concept of coupling the neighbouring LVFs. Based on this concept, two or more LVFs of the same distribution transformer or different distribution transformers are interconnected to support each other and minimise the VQ problems. First, the performance of LVFs in the existing form is discussed and three approaches of coupling the LVFs are presented. Among the presented techniques, coupling of LVFs through a distribution static compensator (DSTATCOM) at the end of the feeder is proposed and focused as an effective technique with minimal side effects such as power losses and cost. Proper dynamic control methods are also proposed for the DSTATCOM and the performance of such a system is investigated under steady-state and dynamic conditions via numerical analysis and simulation studies in MATLAB and PSCAD/EMTDC.
Details
- Title
- Coupling of neighbouring low voltage residential distribution feeders for voltage profile improvement using power electronics converters
- Authors/Creators
- F. Shahnia (Author/Creator) - School of Engineering and Information TechnologyMurdoch UniversityPerthAustraliaA. Ghosh (Author/Creator) - Department of Electrical and Computer EngineeringCurtin UniversityPerthAustralia
- Publication Details
- IET Generation, Transmission & Distribution, Vol.10(2), pp.535-547
- Publisher
- IET Digital Library
- Identifiers
- 991005544493307891
- Copyright
- © 2016 The Institution of Engineering and Technology
- Murdoch Affiliation
- School of Engineering and Information Technology
- Language
- English
- Resource Type
- Journal article
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- Citation topics
- 4 Electrical Engineering, Electronics & Computer Science
- 4.18 Power Systems & Electric Vehicles
- 4.18.204 Smart Grid Optimization
- Web Of Science research areas
- Engineering, Electrical & Electronic
- ESI research areas
- Engineering