Name
Abstract | ||
|---|---|---|
We study the problem of optimally and simultaneously sizing solar photovoltaic (PV) and storage capacity in order to partly or completely offset grid usage. While prior work offers some insights, researchers typically consider only a single sizing approach. In contrast, we use a firm theoretical foundation to compare and contrast sizing approaches based on robust simulation, robust optimization, and stochastic network calculus. We evaluate the robustness and computational complexity of these approaches in a realistic setting to provide practical, robust advice on system sizing. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1145/3208903.3208935 | E-ENERGY'18: PROCEEDINGS OF THE 9TH ACM INTERNATIONAL CONFERENCE ON FUTURE ENERGY SYSTEMS |
Keywords | Field | DocType |
Energy Storage,Solar Power,Dimensioning | Computer science,Robust optimization,Robustness (computer science),Solar power,Network calculus,Sizing,Dimensioning,Photovoltaic system,Grid,Reliability engineering | Conference |
Citations | PageRank | References |
0 | 0.34 | 9 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fiodar Kazhamiaka | 1 | 4 | 1.19 |
| Yashar Ghiassi-Farrokhfal | 2 | 40 | 6.75 |
| Srinivasan Keshav | 3 | 3778 | 761.32 |
| Catherine Rosenberg | 4 | 1877 | 137.46 |