Abstract
The effects of increasing volatility of energy production could be mitigated by real-time shaping of the electricity consumption profile. This paper compares various strategies of an electricity retailer for controlling the consumption profile of its customers, under uncertainties in wholesale prices as well as heating demand. The economic and technical performance potential of selected forms of direct load control and dynamic pricing contracts are assessed through numerical simulations involving electric storage space heating consumers. Best potential monetary benefits were obtained by allowing direct load control and optimizing for additional flexibility, when simulating trading in the intra-day market.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT Europe 2016 |
| Publisher | IEEE |
| Number of pages | 6 |
| ISBN (Electronic) | 978-1-5090-3358-4 |
| DOIs | |
| Publication status | Published - 14 Feb 2017 |
| MoE publication type | A4 Conference publication |
| Event | IEEE PES Europe Conference on Innovative Smart Grid Technologies - Ljubljana, Slovenia Duration: 9 Oct 2016 → 12 Oct 2016 |
Publication series
| Name | IEEE PES Innovative Smart Grid Technologies Conference Europe |
|---|---|
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISSN (Print) | 2165-4816 |
| ISSN (Electronic) | 2165-4824 |
Conference
| Conference | IEEE PES Europe Conference on Innovative Smart Grid Technologies |
|---|---|
| Abbreviated title | ISGT Europe |
| Country/Territory | Slovenia |
| City | Ljubljana |
| Period | 09/10/2016 → 12/10/2016 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- smart grid
- demand response
- energy storage
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