Abstract
This paper has developed an approach to optimise energy sell and price bids at the sellers along with optimising energy purchase decisions at the buyers in a peer-to-peer (P2P) energy trading market. The optimum price and energy sell bids are designed to maximise the profit at the sellers, while buyers make energy purchase decisions to minimise their energy deficit. The proposed approach relies on a day-ahead optimisation mechanism that can utilise the daily generation and demand patterns as well as a rolling horizon based real-time update strategy when there are variations in generation or demand forecasts. The aforementioned approach is evaluated for a real-life generation and demand dataset under different scenarios. The numerical results demonstrate that when the forecasting error is not very high, the proposed optimisation approach can allow sellers to obtain some profit in most of the time intervals during the day.
| Original language | English |
|---|---|
| Pages (from-to) | 541-565 |
| Number of pages | 25 |
| Journal | Energy Systems |
| Volume | 14 |
| Issue number | 2 |
| Early online date | 3 May 2022 |
| DOIs | |
| Publication status | Published - May 2023 |
| Externally published | Yes |
Bibliographical note
Copyright the Author(s) 2022. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.Keywords
- Peer-to-peer energy trading
- Microgrid
- Day-ahead optimisation
- Price
- Energy mismatch