Abstract
When viewed in hourly intervals, a solar photovoltaic (PV) system appears to have a more stable output than usual. However, there are short-term rapid variations in its generation output that result from transient cloudiness and weather disturbances in the atmosphere. By using Monte Carlo simulations applied to a Markov model, this study demonstrates the short-term intermittency of the transient weather conditions and estimates the generation of geographically dispersed PV systems with a capacity of ten percent of peak demand of a statewide grid in one-minute intervals. This study found that geographically distributed PV systems evaluated in one-minute intervals could cope with peaks of a statewide power grid because of the smoothing effect caused by the geographical spread. The purpose of the exercise is to create a framework for integration and optimization of multiple generation sources in order to meet the uncertainty of the fast changing PV output under certain weather conditions.
Original language | English |
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Title of host publication | Proceedings of the 50th Annual Hawaii International Conference on System Sciences, HICSS 2017 |
Editors | Tung X. Bui, Ralph Sprague |
Publisher | IEEE Computer Society |
Pages | 3003-3010 |
Number of pages | 8 |
ISBN (Electronic) | 9780998133102 |
State | Published - 2017 |
Externally published | Yes |
Event | 50th Annual Hawaii International Conference on System Sciences, HICSS 2017 - Big Island, United States Duration: 3 Jan 2017 → 7 Jan 2017 |
Publication series
Name | Proceedings of the Annual Hawaii International Conference on System Sciences |
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Volume | 2017-January |
ISSN (Print) | 1530-1605 |
Conference
Conference | 50th Annual Hawaii International Conference on System Sciences, HICSS 2017 |
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Country/Territory | United States |
City | Big Island |
Period | 3/01/17 → 7/01/17 |
Bibliographical note
Publisher Copyright:© 2017 Proceedings of the Annual Hawaii International Conference on System Sciences. All rights reserved.