Battery Energy Storage System Contribution to Primary Frequency Control in Isolated Power Systems

Increased renewable energy penetration into conventional power plants results in significant frequency regulation (FR) problems, particularly at island power systems. To overcome FR problems, an energy storage system plays an important role. Therefore, a battery energy storage system (BESS) is proposed to provide primary frequency control (PFC) for San Cristobal Island hybrid wind diesel power system (WDPS) in this paper. The aim of this paper is to highlight the improvements achieved using BESS and estimate the optimal size of that BESS for San Cristobal WDPS. Therefore, a permanent magnet synchronous generator (PMSG) based variable speed wind turbine (VSWT) with synthetic (droop) control is used, which enables VSWT to release inertia during contingencies. A novel controller tuning methodology, named student psychology-based algorithm (SPBA), is used to optimally tune the BESS with hybrid WDPS and to estimate BESS size. In addition, several configurations set such as BESS with VSWT and/or diesel power plant (DPP) or both, are presented in this paper to highlight the optimal tuning effects. Moreover, the BESS based WDPS is tested under various real-world scenarios such as loss of wind generator, steadily increase wind speed (ΔV<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">w</sub>≈ 0.81 ms<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">-1</sup>), variable wind speed, variable load demand (P<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">load</sub>) and simultaneously change in V<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">w</sub> and P<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">load</sub>. Finally, hybrid BESS based WDPS is tested in a real time environment (OPAL-RT) which validates its performance. Results show the significant reduction in frequency deviation, optimal sizing of BESS and optimal tuning of the whole WDPS.

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Publication Details

Journal
IEEE Access
Published
2025-01-01
DOI
https://doi.org/10.1109/access.2025.3583228
Citations
2
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
1.37

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article

Battery Energy Storage System Contribution to Primary Frequency Control in Isolated Power Systems

Muhammad Usman Asad, Pericle Zanchetta, Giulia Tresca, José A. Sánchez
2 citations
IEEE Access
Advanced Battery Technologies Research
1.37
article

Battery Energy Storage System Contribution to Primary Frequency Control in Isolated Power Systems

Muhammad Usman Asad, Pericle Zanchetta, Giulia Tresca, José A. Sánchez
article en
2 citations

Abstract

Increased renewable energy penetration into conventional power plants results in significant frequency regulation (FR) problems, particularly at island power systems. To overcome FR problems, an energy storage system plays an important role. Therefore, a battery energy storage system (BESS) is proposed to provide primary frequency control (PFC) for San Cristobal Island hybrid wind diesel power system (WDPS) in this paper. The aim of this paper is to highlight the improvements achieved using BESS and estimate the optimal size of that BESS for San Cristobal WDPS. Therefore, a permanent magnet synchronous generator (PMSG) based variable speed wind turbine (VSWT) with synthetic (droop) control is used, which enables VSWT to release inertia during contingencies. A novel controller tuning methodology, named student psychology-based algorithm (SPBA), is used to optimally tune the BESS with hybrid WDPS and to estimate BESS size. In addition, several configurations set such as BESS with VSWT and/or diesel power plant (DPP) or both, are presented in this paper to highlight the optimal tuning effects. Moreover, the BESS based WDPS is tested under various real-world scenarios such as loss of wind generator, steadily increase wind speed (ΔV<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">w</sub>≈ 0.81 ms<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">-1</sup>), variable wind speed, variable load demand (P<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">load</sub>) and simultaneously change in V<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">w</sub> and P<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">load</sub>. Finally, hybrid BESS based WDPS is tested in a real time environment (OPAL-RT) which validates its performance. Results show the significant reduction in frequency deviation, optimal sizing of BESS and optimal tuning of the whole WDPS.

IEEE AccessVol. 13
University of Pavia (IT)
Universidad Politécnica de Madrid
Affordable and clean energy
Openalex Percentile: Top 18%
Advanced Battery Technologies Research
1.37
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