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| Content Provider | ACM Digital Library |
|---|---|
| Author | Shenoy, Prashant Singh, Akansha Lee, Stephen Irwin, David |
| 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. |
| Starting Page | 1 |
| Ending Page | 2 |
| Page Count | 2 |
| File Format | |
| ISBN | 9781450344173 |
| DOI | 10.1145/2939912.2942352 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2016-06-21 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Content Type | Text |
| Resource Type | Article |
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