Battery Energy Storage System Allocation in the IEEE 33 Bus Test System for enhanced system performance
Year: 2024
Type: article
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.
Authors: Ankush Tandon, Pooja Jain, Tanu Gauta, Yukti Yadav, Suryansh Arya, Yathartha Solanki
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6884547895
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