<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The article discusses a method of assessing the of dependence of the number of batteries that would be needed to achieve energy balance in distributed generation systems with wind turbines on ambient temperature and on the error involved in predicting the parameters of wind flow (wind speed). To describe the relationship between current rate and capacity in a given current range, Peukert’s law is used. Dependence of the Peukert’s constant on ambient temperature for the lead-acid battery HZB12-180FA is calculated. Taking the lead-acid battery and wind turbine VE-2 as a reference, dependence of area of controlled operation of the battery on the wind speed forecasting error is calculated. The technique of considering ambient temperature, depth of discharge, and wind speed forecasting error when deciding the size of energy storage of the balancing system (the number of batteries and their capacity) is provided. A family of curves representing the dependence of the number of batteries constituting the balancing system on the ambient temperature and the wind speed forecasting error are presented. It is shown that as the wind speed forecasting error increases from 0% to 15% and the ambient temperature decreases from 20 °C to 20 °C, the number of batteries should be increased by approximately 2.81 times in order to maintain the same area of controlled operation of a battery.</p>
</abstract>

The article discusses a method of assessing the of dependence of the number of batteries that would be needed to achieve energy balance in distributed generation systems with wind turbines on ambient temperature and on the error involved in predicting the parameters of wind flow (wind speed). To describe the relationship between current rate and capacity in a given current range, Peukert’s law is used. Dependence of the Peukert’s constant on ambient temperature for the lead-acid battery HZB12-180FA is calculated. Taking the lead-acid battery and wind turbine VE-2 as a reference, dependence of area of controlled operation of the battery on the wind speed forecasting error is calculated. The technique of considering ambient temperature, depth of discharge, and wind speed forecasting error when deciding the size of energy storage of the balancing system (the number of batteries and their capacity) is provided. A family of curves representing the dependence of the number of batteries constituting the balancing system on the ambient temperature and the wind speed forecasting error are presented. It is shown that as the wind speed forecasting error increases from 0% to 15% and the ambient temperature decreases from 20 °C to 20 °C, the number of batteries should be increased by approximately 2.81 times in order to maintain the same area of controlled operation of a battery.

Influence of the Expected Wind Speed Fluctuation on the Number of Batteries of the Balancing System

Power Electronics and Drives

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

The article discusses a method of assessing the of dependence of the number of batteries that would be needed to achieve energy balance in distributed...

Influence of the Expected Wind Speed Fluctuation on the Number of Batteries of the Balancing System

Online veröffentlicht: 15. Sept. 2022

Seitenbereich: 187 - 196

Eingereicht: 07. Juni 2022

Akzeptiert: 25. Juli 2022

DOI: https://doi.org/10.2478/pead-2022-0014

Schlüsselwörter
battery, Peukert’s law, optimal sizing, forecasting

© 2022 Mykhailo Yaremenko et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Influence of the Expected Wind Speed Fluctuation on the Number of Batteries of the Balancing System

Online veröffentlicht: 15. Sept. 2022

Seitenbereich: 187 - 196

Eingereicht: 07. Juni 2022

Akzeptiert: 25. Juli 2022

DOI: https://doi.org/10.2478/pead-2022-0014

Schlüsselwörterbattery, Peukert’s law, optimal sizing, forecasting

© 2022 Mykhailo Yaremenko et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
battery, Peukert’s law, optimal sizing, forecasting