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
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