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

<p>The problem of temporary overvoltage when integrating large renewable power plants into the existing grid is considered. A grid-connected battery energy storage system with an advanced predictive control algorithm is proposed to reduce the overvoltage in time periods of excessive renewable production. An approximative grid model is developed using system identification methods on regular operation data. A model predictive control algorithm utilizing predictions of load and generation determines the optimal operation strategy of the battery. A comparison in simulation between a reference case with PID control and the proposed algorithm shows a large reduction of the time spent in overvoltage conditions, especially in the case of consecutive days of high renewables production. The results suggest that energy storages combined with a predictive control strategy can effectively alleviate the overvoltage problem in renewables integration. Especially in the case when available storage capacity is comparatively low, a uniform overvoltage reduction can be realized. The method can potentially increase the PV host capacity of current grids.</p>
</abstract>

The problem of temporary overvoltage when integrating large renewable power plants into the existing grid is considered. A grid-connected battery energy storage system with an advanced predictive control algorithm is proposed to reduce the overvoltage in time periods of excessive renewable production. An approximative grid model is developed using system identification methods on regular operation data. A model predictive control algorithm utilizing predictions of load and generation determines the optimal operation strategy of the battery. A comparison in simulation between a reference case with PID control and the proposed algorithm shows a large reduction of the time spent in overvoltage conditions, especially in the case of consecutive days of high renewables production. The results suggest that energy storages combined with a predictive control strategy can effectively alleviate the overvoltage problem in renewables integration. Especially in the case when available storage capacity is comparatively low, a uniform overvoltage reduction can be realized. The method can potentially increase the PV host capacity of current grids.

Avoiding PV-Induced Overvoltage through Grid-Connected Batteries Using Model Predictive Control

University of Applied Sciences Upper Austria

Environmental and Climate Technologies

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

The problem of temporary overvoltage when integrating large renewable power plants into the existing grid is considered. A grid-connected battery energy...

Avoiding PV-Induced Overvoltage through Grid-Connected Batteries Using Model Predictive Control

Publié en ligne: 09 nov. 2023

Pages: 711 - 723

DOI: https://doi.org/10.2478/rtuect-2023-0052

Mots clés
Control systems, model predictive control, photovoltaic, renewables integration

© 2023 Harald Kirchsteiger et al., published by Sciendo

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

Avoiding PV-Induced Overvoltage through Grid-Connected Batteries Using Model Predictive Control

Publié en ligne: 09 nov. 2023

Pages: 711 - 723

DOI: https://doi.org/10.2478/rtuect-2023-0052

Mots clésControl systems, model predictive control, photovoltaic, renewables integration

© 2023 Harald Kirchsteiger et al., published by Sciendo

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

Mots clés
Control systems, model predictive control, photovoltaic, renewables integration