Issue |
E3S Web Conf.
Volume 616, 2025
2nd International Conference on Renewable Energy, Green Computing and Sustainable Development (ICREGCSD 2025)
|
|
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Article Number | 03018 | |
Number of page(s) | 13 | |
Section | Sustainable Development | |
DOI | https://doi.org/10.1051/e3sconf/202561603018 | |
Published online | 24 February 2025 |
Optimizing Distributed Energy Storage Deployment in Smart Grids for Enhanced Grid Performance and Energy Management
1 Department of CSE-AI&ML, MLR Institute of Technology, Hyderabad, Telangana, India
2 New Horizon College of Engineering, Bangalore, India
3 Department of Artificial Intelligence and Machine Learning, New Horizon College of Engineering, Bangalore, India
4 Lloyd Law College, Plot No. 11, Knowledge Park II, Greater Noida, Uttar Pradesh 201314, India
5 Radiology Techniques Department, College of Medical Technology, The Islamic University, Najaf, Iraq
6 Department of Electrical & Electronics Engineering, IILM University, Greater Noida, India
* Corresponding author: vanyaarun@gmail.com
Large-scale hydroelectric is the most mature kind of energy storage, but medium- and small-scale plants are used widely with renewable energy sources that are likely to be integrated in the next generation electrical distribution system or smart grid. This paper proposes a useful tool to estimate the potential benefits of distributed energy storage in smart grids with respect to different regulatory frameworks and services. A new mathematical approach, based on costs, for the optimisation of energy storage location, size and control is also proposed. It is assumed that the energy storage systems, proposed to be included in the electrical distribution network (from now onward Smart Grid), are owned and managed by the Smart Grid Operator. It is necessary to assess the benefits of both the presence of Smart Grid and the external grid, noted as Load Grid, that are linked through the Smart Grid transformer.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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