Optimizing Geographic Allotment of Photovoltaic Capacity in a Distributed Generation Setting [electronic resource] : Preprint
- Washington, D.C. : Solar Energy Technologies Program (U.S.), 2012.
Oak Ridge, Tenn. : Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy.
- Physical Description:
- 9 pages : digital, PDF file
- Additional Creators:
- National Renewable Energy Laboratory (U.S.), Solar Energy Technologies Program (U.S.), and United States. Department of Energy. Office of Scientific and Technical Information
- Restrictions on Access:
- Free-to-read Unrestricted online access
- A multi-objective optimization was performed to allocate 2MW of PV among four candidate sites on the island of Lanai such that energy was maximized and variability in the form of ramp rates was minimized. This resulted in an optimal solution set which provides a range of geographic allotment alternatives for the fixed PV capacity. Within the optimal set, a tradeoff between energy produced and variability experienced was found, whereby a decrease in variability always necessitates a simultaneous decrease in energy. A design point within the optimal set was selected for study which decreased extreme ramp rates by over 50% while only decreasing annual energy generation by 3% over the maximum generation allocation. To quantify the allotment mix selected, a metric was developed, called the ramp ratio, which compares ramping magnitude when all capacity is allotted to a single location to the aggregate ramping magnitude in a distributed scenario. The ramp ratio quantifies simultaneously how much smoothing a distributed scenario would experience over single site allotment and how much a single site is being under-utilized for its ability to reduce aggregate variability. This paper creates a framework for use by cities and municipal utilities to reduce variability impacts while planning for high penetration of PV on the distribution grid.
- Report Numbers:
- E 1.99:nrel/cp-5500-56539
- Published through SciTech Connect.
To be presented at the 27th European Photovoltaic Solar Energy Conference and Exhibition, 24-28 September 2012, Frankfurt, Germany.
Keller, J.; Sengupta, M.; Urquhart, B.
- Funding Information:
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