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Support of distribution system using distributed wind and PV systems

Conference Paper


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Abstract


  • The application of renewable distributed generation (DG) could be considered as an alternative approach for distribution system expansion planning not only to reduce power loss and carbon emission, but also to improve system voltage profile. This paper investigates technical aspects related

    to voltage support and loss reduction in distribution systems with distributed wind and solar generation. The probabilistic wind, solar, and load models have been developed in order to address uncertain nature of wind speed, solar radiation, and load demand. Investigations have been carried out using Monte Carlo based probabilistic load flow analysis to estimate the probability distributions of system state variables such as lowes nodal voltage and overall real power loss. The proposed approach is tested on a remote 11kV radial distribution feeder derived from an Integral Energy Electricity Network in New

    South Wales, Australia.

Publication Date


  • 2009

Citation


  • K. Zou, A. P. Agalgaonkar, K. Muttaqi, S. Perera & N. Browne, "Support of distribution system using distributed wind and PV systems," in Australasian Universities Power Engineering Conference, 2009, pp. 1-6.

Scopus Eid


  • 2-s2.0-76249116914

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=2469&context=infopapers

Ro Metadata Url


  • http://ro.uow.edu.au/infopapers/1449

Start Page


  • 1

End Page


  • 6

Place Of Publication


  • http://ieeexplore.ieee.org/xpl/tocresult.jsp?asf_arn=null&asf_iid=5356568&asf_pun=null&asf_in=null&asf_rpp=null&asf_iv=null&asf_sp=null&asf_pn=6

Abstract


  • The application of renewable distributed generation (DG) could be considered as an alternative approach for distribution system expansion planning not only to reduce power loss and carbon emission, but also to improve system voltage profile. This paper investigates technical aspects related

    to voltage support and loss reduction in distribution systems with distributed wind and solar generation. The probabilistic wind, solar, and load models have been developed in order to address uncertain nature of wind speed, solar radiation, and load demand. Investigations have been carried out using Monte Carlo based probabilistic load flow analysis to estimate the probability distributions of system state variables such as lowes nodal voltage and overall real power loss. The proposed approach is tested on a remote 11kV radial distribution feeder derived from an Integral Energy Electricity Network in New

    South Wales, Australia.

Publication Date


  • 2009

Citation


  • K. Zou, A. P. Agalgaonkar, K. Muttaqi, S. Perera & N. Browne, "Support of distribution system using distributed wind and PV systems," in Australasian Universities Power Engineering Conference, 2009, pp. 1-6.

Scopus Eid


  • 2-s2.0-76249116914

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=2469&context=infopapers

Ro Metadata Url


  • http://ro.uow.edu.au/infopapers/1449

Start Page


  • 1

End Page


  • 6

Place Of Publication


  • http://ieeexplore.ieee.org/xpl/tocresult.jsp?asf_arn=null&asf_iid=5356568&asf_pun=null&asf_in=null&asf_rpp=null&asf_iv=null&asf_sp=null&asf_pn=6