Name
Abstract | ||
|---|---|---|
Users can arbitrage against Time-of-Use (ToU) pricing with storage by charging in off-peak period and discharge in peak periods. In this paper we design the optimal control policy and the solve optimal investment for general ToU scheme. We formulate the problem as dynamic programming for efficient solution. Our result is feasible facing multi-peaked ToU scheme. Simulation studies examine how the user's cost varies with respect to the user's demand randomness; we also demonstrate the performance of our scheme when aggregating users for extra savings. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/ISGT45199.2020.9087742 | 2020 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT) |
Keywords | DocType | ISSN |
Optimal Control,Electricity Storage,Time-of-Use Pricing | Conference | 2167-9665 |
ISBN | Citations | PageRank |
978-1-7281-3104-7 | 0 | 0.34 |
References | Authors | |
3 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wang Zhiqi | 1 | 0 | 0.34 |
| Kui Wang | 2 | 40 | 6.67 |
| Yang Yu | 3 | 94 | 55.24 |
| Chenye Wu | 4 | 167 | 18.21 |