Abstract
This paper presents an intelligent energy storage system for NZEB buildings integrated in a smart grid context. The proposed methodology is suitable for NZEB buildings that include integrated renewable generation and storage capabilities, aiming at high load matching and low grid interaction, acting as a prosumer. The considered energy storage system is electrochemical storage (batteries) and the renewable production is based on PV panels. The energy storage management is based on a genetic algorithm approach that aims to increase the energy storage system return of investment by, at the same time, minimizing the grid energy consumption, on higher DSO tariff periods, and reducing the number of battery operating cycles. In this way the management system will increase the life time of the energy storage system and reduce the amount of money that the prosumer has to pay to the DSO operator.
| Original language | English |
|---|---|
| Title of host publication | Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| Pages | 6083-6087 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781509066841 |
| DOIs | |
| Publication status | Published - 26 Dec 2018 |
| Event | 44th Annual Conference of the IEEE Industrial Electronics Society, IECON 2018 - Washington, United States Duration: 20 Oct 2018 → 23 Oct 2018 |
Conference
| Conference | 44th Annual Conference of the IEEE Industrial Electronics Society, IECON 2018 |
|---|---|
| Country/Territory | United States |
| City | Washington |
| Period | 20/10/18 → 23/10/18 |
Keywords
- Genetic algorithm
- NZEB
- Prosumer
- Storage
