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Increasing PV hosting capacity in distorted distribution systems using passive harmonic filtering
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Energy Science.
Electrical and Electronics Engineering, Balikesir University.
15th of May Higher Institute of Engineering, Mathematical and Physical Sciences, Helwan, Cairo.
College of Engineering, Design & Physical Sciences, Brunel University London.
2017 (English)In: Electric power systems research, ISSN 0378-7796, E-ISSN 1873-2046, Vol. 148, 74-86 p.Article in journal (Refereed) Published
Abstract [en]

Adding new capacity expansion alternatives using distributed generation (DG) technologies, particularly penetration of renewable energy, has several economical, and technical advantages such as the reduced system costs, the improved voltage profile, lower line loss and enhanced system’s reliability. However, the DG units may lead to power quality, energy efficiency, and protection problems in the system when their penetration exceeds a particular value, generally called as the system’s hosting capacity (HC) in the literature. In this paper, the HC determination of a distorted distribution system with Photovoltaic (PV)-based DG units is handled as an optimization problem by considering over and under voltage limitations of buses, current carrying capabilities of the lines, and harmonic distortion limitations as constraints. It is seen from simulation results that the HC is dramatically decreased with the increment of the load’s nonlinearity level and the utility side’s background voltage distortion. Accordingly, a C-type passive filter is designed to maximize the harmonic-constrained HC of the studied system while satisfying the constraints. The results indicate that higher HC level can be achieved using the proposed filter design approach compared to three conventional filter design approaches as voltage total harmonic distortion minimization, line loss minimization and power factor maximization.

Place, publisher, year, edition, pages
2017. Vol. 148, 74-86 p.
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electric Power Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-62940DOI: 10.1016/j.epsr.2017.03.020ScopusID: 2-s2.0-85016451814OAI: oai:DiVA.org:ltu-62940DiVA: diva2:1087518
Note

Validerad; 2017; Nivå 2; 2017-04-07 (andbra)

Available from: 2017-04-07 Created: 2017-04-07 Last updated: 2017-04-11Bibliographically approved

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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