Probabilistic analysis of maximum allowable pv connections across bidirectional feeders within a distribution network

Hassan Al-Saadi, Rastko Zivanovic, Said Al-Sarawi

Research output: Chapter in Book/Report/Conference proceedingsConference contribution

2 Citations (Scopus)

Abstract

The paper presents a probabilistic approach (PA) to quantify the impacts of increased PV connections in bidirectional feeders within a distribution network. The aim is to establish a tool that can serve distribution network operators (DNOs) in seizing the maximum allowable photovoltaic (PV) connections, and ultimately with their responsibility on providing a reliable and secure power. An uncertainty model based on clearness index is utilized to predict the actual PV power injected into the utility following the Australian meteorological conditions. Three assessment indices are established and assessed using the Quasi Monte Carlo method. A large distribution network situated in South Australia is currently under test where six zones are chosen to have potentials of being bidirectional. The results presented in this paper show that the uncertainty behaviors of PVs differ from a feeder to another and can be quantified to seize the maximum PV allowance.

Original languageEnglish
Title of host publication2017 Asian Conference on Energy, Power and Transportation Electrification, ACEPT 2017
Pages1-18
Number of pages18
ISBN (Electronic)9781538609712
DOIs
Publication statusPublished - 5 Dec 2017
EventAsian Conference on Energy, Power and Transportation Electrification (ACEPT) - Singapore, Singapore
Duration: 24 Oct 201726 Oct 2017
http://acept.asia/ocs/index.php?conference=acept&schedConf=2017

Publication series

Name2017 Asian Conference on Energy, Power and Transportation Electrification, ACEPT 2017
Volume2017-December

Conference

ConferenceAsian Conference on Energy, Power and Transportation Electrification (ACEPT)
CountrySingapore
CitySingapore
Period24.10.201726.10.2017
Internet address

Keywords

  • Bidirectional distribution feeders
  • Hosting capacity
  • Power quality issues
  • Quasi Monte Carlo

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