• DocumentCode
    2067130
  • Title

    Optimal incentive design to facilitate solar PV investments in Ontario

  • Author

    Das, I. ; Bhattacharya, K. ; Canizares, C.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON, Canada
  • fYear
    2012
  • fDate
    22-26 July 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Solar photovoltaic (PV) generation has become an economically feasible and clean energy supply option for large scale grid connected operations. From a power generation planning perspective, it is required to design a feasible incentive that will lure investors to participate in the solar PV generation market. In this context, the province of Ontario, Canada, has come up with a Feed-in-Tariff (FIT) program to encourage investment in large scale solar PV projects. In this paper, an optimization model is presented to determine an optimal incentive rate that will facilitate investments in grid-connected solar PV projects. The model determines a range of feasible FIT values that will provide investors with a guaranteed internal rate of return (IRR). It also identifies the most preferred zones in the province for new PV installations, from a system planning perspective.
  • Keywords
    investment; photovoltaic power systems; power generation economics; power generation planning; power grids; power markets; solar power stations; tariffs; Canada; FIT program; IRR; Ontario; PV installations; energy supply option; feed-in-tariff program; grid-connected solar PV projects; internal rate of return; large scale grid connected operations; optimal incentive design; power generation planning perspective; solar PV generation; solar PV generation market; solar PV investments; solar photovoltaic generation; Capacity planning; Investments; Optimization; Photovoltaic systems; Planning; Power demand; Transportation; Solar photovoltaic; feed-in-tariff; grid-connected; internal rate of return; system planning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting, 2012 IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1944-9925
  • Print_ISBN
    978-1-4673-2727-5
  • Electronic_ISBN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PESGM.2012.6345612
  • Filename
    6345612