Proceedings of the 14th International Renewable Energy Storage Conference 2020 (IRES 2020)

Probability of Correct Decision–Making at Triggering of Load–Shifting, Intended for Low CO2 Intensity and Low EEX Trading Prices via Simple Grid Frequency Monitoring

Authors
Stefan Krauter, Lin Zhang
Corresponding Author
Stefan Krauter
Available Online 4 February 2021.
DOI
https://doi.org/10.2991/ahe.k.210202.016How to use a DOI?
Keywords
Correlation, CO2, Load–Shifting, Demand–Side–Management, grid frequency, EEX, electricity trading prices, renewable share, flexibility, emissions
Abstract

To provide a simple control signal to operate residential Load–Shifting or Demand–Side–Management, the monitoring of actual grid frequency seems to be an appropriate method. Due to the present inflexibility and the lack of sufficient throttling capabilities of residual lignite and nuclear power plants, a surplus of electricity generation occurs during periods of high wind and solar power generation. While the specific CO2 emission is decreasing then – due to the increased share of Renewables, the grid frequency is increasing (to a certain limit). Using the grid frequency as an indicator to switch-on and off certain loads (loads that do not require power permanently (e.g. dishwashers, washing machines, dryers, fridges and freezers, heaters) could provide a simple, inexpensive demand–side–management indicator to lower specific CO2 emissions and costs (if a dynamic consumption tariff is available). To check the truthfulness of that hypothesis, the grid and frequency data of the German grid of the year 2018 have been collected and a the correlation between grid frequency, power surplus, share of renewables vs. CO2–contents and price at the European energy exchange (EEX) have been calculated. The results show: Correlation between frequency and share of renewables is relatively low (r = 0.155) since primary grid control quickly compensates deviations from the 50 Hz nominal frequency. There is a good anti-correlation (r = -0.687) between the electricity trading prices (EEX) and the share of renewables in the grid. Over the years, correlation between EEX–prices and CO2 emissions is quite good (r =0.665), within one year (2018) that correlation almost doesn’t exist, possibly due to the inflexibility of the bulky lignite power plants that even operate at negative prices.

Copyright
© 2021, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 14th International Renewable Energy Storage Conference 2020 (IRES 2020)
Series
Atlantis Highlights in Engineering
Publication Date
4 February 2021
ISBN
10.2991/ahe.k.210202.016
ISSN
2589-4943
DOI
https://doi.org/10.2991/ahe.k.210202.016How to use a DOI?
Copyright
© 2021, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Stefan Krauter
AU  - Lin Zhang
PY  - 2021
DA  - 2021/02/04
TI  - Probability of Correct Decision–Making at Triggering of Load–Shifting, Intended for Low CO₂ Intensity and Low EEX Trading Prices via Simple Grid Frequency Monitoring
BT  - Proceedings of the 14th International Renewable Energy Storage Conference 2020 (IRES 2020)
PB  - Atlantis Press
SP  - 106
EP  - 108
SN  - 2589-4943
UR  - https://doi.org/10.2991/ahe.k.210202.016
DO  - https://doi.org/10.2991/ahe.k.210202.016
ID  - Krauter2021
ER  -