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SunShade: software-defined solar systems

Published:21 June 2016Publication History

ABSTRACT

Since the electric grid was not designed to support large-scale solar generation, current policies place hard caps on the number of solar systems that connect to the grid. Unfortunately, users are starting to hit these caps, which is restricting solar's natural growth. Software-defined solar (SDS) systems address the problem by dynamically regulating the power they inject into the grid, similar to TCP, to maximize the grid's available solar capacity, maintain grid stability, and fairly share the grid's solar capacity among users. By dynamically regulating solar "flows," SDS systems remove the need for policies that artificially cap solar systems, enabling any SDS system to freely connect to the grid. Our prototype SDS system, called SunShade, includes two new mechanisms that enable programmatic solar flow control: one that enforces an absolute limit on solar output, and one that enforces a relative limit on solar output as a fraction of the current maximum power point. We have implemented both mechanisms, and conducted a preliminary evaluation with an emulated solar panel using real weather traces with different insolation and temperature levels.

References

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  • Published in

    cover image ACM Other conferences
    e-Energy '16: Proceedings of the Seventh International Conference on Future Energy Systems Poster Sessions
    June 2016
    24 pages
    ISBN:9781450344173
    DOI:10.1145/2939912

    Copyright © 2016 Owner/Author

    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 21 June 2016

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    Overall Acceptance Rate160of446submissions,36%

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