Proceedings of the International Conference on Advanced Materials, Manufacturing and Sustainable Development (ICAMMSD 2024)

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Drone Squadron Optimization MPPT in PV system with Partial Shading effect

Authors
B. Amarnath Naidu1, *, M. Siva Sathya Narayana2
1Assistant Professor, Department of Electrical and Electronics Engineering, G. Pulla Reddy Engineering College, Kurnool, India
2Associate Professor, Department of Electrical and Electronics Engineering, G. Pulla Reddy Engineering College, Kurnool, India
*Corresponding author. Email: amaranth.eee@gprec.ac.in
Corresponding Author
B. Amarnath Naidu
Available Online 17 March 2025.
DOI
10.2991/978-94-6463-662-8_60How to use a DOI?
Keywords
Drone Squadron Optimization (DSO); Global Maximum Power Point (GMPP); Partial Shading; Photovoltaic System; Adaptive Search Strategies
Abstract

This research paper investigates the optimization of photovoltaic (PV) systems under partial shading conditions using a novel approach called Drone Squadron Optimization (DSO) for Maximum Power Point Tracking (MPPT). Partial shading significantly impacts the performance of PV systems, leading to multiple local maxima in the power-voltage curve. Conventional MPPT techniques struggle to accurately track the global maximum power point (GMPP) under such conditions, necessitating advanced optimization methods. The proposed DSO algorithm draws inspiration from the collective behavior of drone squadrons, where individual drones collaborate to achieve common objectives efficiently. In the context of MPPT, the DSO algorithm deploys a swarm of agents that intelligently explore the PV system's operating range to locate the GMPP, overcoming challenges posed by partial shading and dynamic environmental conditions. Key features of the DSO algorithm include adaptive search strategies, self-organization, and distributed decision-making, mimicking the agility and adaptability of drone squadrons in complex environments. By leveraging these capabilities, the DSO algorithm enhances the robustness and efficiency of MPPT in PV systems, especially when subjected to partial shading effects.

Copyright
© 2025 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 Advanced Materials, Manufacturing and Sustainable Development (ICAMMSD 2024)
Series
Advances in Engineering Research
Publication Date
17 March 2025
ISBN
978-94-6463-662-8
ISSN
2352-5401
DOI
10.2991/978-94-6463-662-8_60How to use a DOI?
Copyright
© 2025 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  - B. Amarnath Naidu
AU  - M. Siva Sathya Narayana
PY  - 2025
DA  - 2025/03/17
TI  - Drone Squadron Optimization MPPT in PV system with Partial Shading effect
BT  - Proceedings of the International Conference on Advanced Materials, Manufacturing and Sustainable Development (ICAMMSD 2024)
PB  - Atlantis Press
SP  - 759
EP  - 771
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-662-8_60
DO  - 10.2991/978-94-6463-662-8_60
ID  - Naidu2025
ER  -