Battery Energy Storage System Allocation in the IEEE 33 Bus Test System for enhanced system performance

This paper explores the optimal allocation of Battery Energy Storage Systems (BESS) in the IEEE 33 Bus Test System to en-hance overall system performance. Using ETap simulation software, a comprehensive analysis is conducted to identify strategic locations for BESS deployment. The study aims to improve system reliability, reduce transmission losses, and enhance voltage profile under various operating conditions. The ETap platform facilitates detailed modeling and simulation of BESS integration, considering factors such as load variations, renewable energy sources, and network constraints. Results demonstrate the effectiveness of the proposed BESS allocation strategy in mitigating voltage fluctuations, minimizing power losses, and optimizing the overall operation of the IEEE 33 Bus Test System. The findings contribute valuable insights to power system planners and operators seeking to leverage BESS for enhanced performance and grid resilience.

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Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2024-08-08
DOI
https://doi.org/10.1051/e3sconf/202455903010/pdf
Primary Topic
Optimal Power Flow Distribution
Type
article
Field-Weighted Citation Impact
0.00
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article

Battery Energy Storage System Allocation in the IEEE 33 Bus Test System for enhanced system performance

Springer Link (Chiba Institute of Technology)
Optimal Power Flow Distribution
article

Battery Energy Storage System Allocation in the IEEE 33 Bus Test System for enhanced system performance

article en

Abstract

This paper explores the optimal allocation of Battery Energy Storage Systems (BESS) in the IEEE 33 Bus Test System to en-hance overall system performance. Using ETap simulation software, a comprehensive analysis is conducted to identify strategic locations for BESS deployment. The study aims to improve system reliability, reduce transmission losses, and enhance voltage profile under various operating conditions. The ETap platform facilitates detailed modeling and simulation of BESS integration, considering factors such as load variations, renewable energy sources, and network constraints. Results demonstrate the effectiveness of the proposed BESS allocation strategy in mitigating voltage fluctuations, minimizing power losses, and optimizing the overall operation of the IEEE 33 Bus Test System. The findings contribute valuable insights to power system planners and operators seeking to leverage BESS for enhanced performance and grid resilience.

Springer Link (Chiba Institute of Technology)
Institute of Technology Management (IN)
Affordable and clean energy
Openalex Percentile: Top 71%
Optimal Power Flow Distribution
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