DocumentCode :
48171
Title :
Comparing Capacity Value Estimation Techniques for Photovoltaic Solar Power
Author :
Madaeni, Seyed Hossein ; Sioshansi, Ramteen ; Denholm, Paul
Volume :
3
Issue :
1
fYear :
2013
fDate :
Jan. 2013
Firstpage :
407
Lastpage :
415
Abstract :
In this paper, we estimate the capacity value of photovoltaic (PV) solar plants in the western U.S. Our results show that PV plants have capacity values that range between 52% and 93%, depending on location and sun-tracking capability. We further compare more robust but data- and computationally-intense reliability-based estimation techniques with simpler approximation methods. We show that if implemented properly, these techniques provide accurate approximations of reliability-based methods. Overall, methods that are based on the weighted capacity factor of the plant provide the most accurate estimate. We also examine the sensitivity of PV capacity value to the inclusion of sun-tracking systems.
Keywords :
power generation reliability; solar power stations; PV capacity value; PV plants; approximation methods; capacity value estimation techniques; computationally-intense reliability-based estimation techniques; photovoltaic solar plants; photovoltaic solar power; reliability-based methods; sun-tracking capability; sun-tracking systems; Approximation methods; Benchmark testing; Generators; Photovoltaic systems; Power system reliability; Reliability; Urban areas; Approximation techniques; capacity value; photovoltaic (PV) solar; reliability theory;
fLanguage :
English
Journal_Title :
Photovoltaics, IEEE Journal of
Publisher :
ieee
ISSN :
2156-3381
Type :
jour
DOI :
10.1109/JPHOTOV.2012.2217114
Filename :
6316048
Link To Document :
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