Three Fundamental MPPT Algorithms for Photovoltaic Applications
- DOI
- 10.2991/978-94-6463-986-5_95How to use a DOI?
- Keywords
- Photovoltaic Power Generation; Maximum Power Point Tracking (MPPT); Energy Conversion Efficiency
- Abstract
The effectiveness of photovoltaic systems is heavily influenced by the performance of Maximum Power Point Tracking (MPPT) techniques. This study provides a comprehensive analysis of existing MPPT approaches, detailing their fundamental mechanisms, advantages, drawbacks, and potential enhancement approaches. The primary objective is to offer readers a structured framework for comprehending three principal MPPT methodologies: Perturb and Observe (P&O), Incremental Conductance (INC), and Constant Voltage (CV) techniques. MPPT’s central principle involves dynamically modifying PV module operating voltages to align system impedance with optimal values under varying environmental parameters like solar irradiation and thermal conditions. Such alignment enables sustained operation at peak power points, thereby improving energy conversion rates while reducing power dissipation. These operational advantages have stimulated substantial academic interest and research efforts in renewable energy optimization.
- Copyright
- © 2026 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
TY - CONF AU - Xinlei Song PY - 2026 DA - 2026/02/18 TI - Three Fundamental MPPT Algorithms for Photovoltaic Applications BT - Proceedings of the 2025 International Conference on Electronics, Electrical and Grid Technology (ICEEGT 2025) PB - Atlantis Press SP - 929 EP - 940 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6463-986-5_95 DO - 10.2991/978-94-6463-986-5_95 ID - Song2026 ER -