Proceedings of the International Conference on Artificial Intelligence Techniques for Electrical Engineering Systems (AITEES 2022)

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Optimum Placement of Battery Energy Storage Systems and Solar PV Units in Distribution Networks Using Gravitational Search Algorithm

Authors
Preetham Goli1, *, Srikanth Yelem1, Kiran Jasthi2, Srinivasa Rao Gampa2, D. Das3
1University of Missouri Kansas City, Kansas City, MO, USA
2Seshadri Rao Gudlavalleru Engineering College, Gudlavalleru, 521356, A.P., India
3IIT Kharagpur, Kharagpur, 721302, West Bengal, India
*Corresponding author. Email: golip@umkc.edu
Corresponding Author
Preetham Goli
Available Online 5 December 2022.
DOI
10.2991/978-94-6463-074-9_11How to use a DOI?
Keywords
Battery energy storage system (BESS); Gravitational search algorithm (GSA); Solar Photovoltaic (PV) units; Distribution systems; Shunt capacitors
Abstract

This paper proposes the optimum sizing and placement of photovoltaic (PV) units and battery energy storage systems using the Gravitational Search Algorithm (GSA) to minimize the burden on the substation. The solar PV units are allocated for daytime peak load reduction and the evening load is compensated with battery energy storage systems. Optimum placement and sizing of solar PV units and shunt capacitors is carried out to minimize the real and reactive powers drawn from the substation to a predefined value, minimize the active power losses, and improve the distribution system’s voltage profile. The BESS capacity required for nighttime is also estimated by considering similar objectives. Simulation results have been presented using a 69 bustest system to demonstrate the significance of the proposed methodology.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Artificial Intelligence Techniques for Electrical Engineering Systems (AITEES 2022)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
5 December 2022
ISBN
10.2991/978-94-6463-074-9_11
ISSN
2589-4919
DOI
10.2991/978-94-6463-074-9_11How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Preetham Goli
AU  - Srikanth Yelem
AU  - Kiran Jasthi
AU  - Srinivasa Rao Gampa
AU  - D. Das
PY  - 2022
DA  - 2022/12/05
TI  - Optimum Placement of Battery Energy Storage Systems and Solar PV Units in Distribution Networks Using Gravitational Search Algorithm
BT  - Proceedings of the International Conference on Artificial Intelligence Techniques for Electrical Engineering Systems (AITEES 2022)
PB  - Atlantis Press
SP  - 113
EP  - 123
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-074-9_11
DO  - 10.2991/978-94-6463-074-9_11
ID  - Goli2022
ER  -