Maximizing Solar Harvest: Comparing P&O and Incremental Conductance MPPT Methods

Benchikh Salma, Jarou Tarik and Lamrani Roa

SCT Proceedings in Interdisciplinary Insights and Innovations, 2024, vol. 2, 10.56294/piii2024320

Abstract: This paper presents a comprehensive comparative study between two prominent Maximum Power Point Tracking (MPPT) algorithms: the Perturb and Observe (P&O) method and the Incremental Conductance method (IC). The study delves into their operational principles, efficiency, robustness, implementation complexity, response time, and sensitivity to parameter changes. Through theoretical analysis and numerical simulations, the strengths and limitations of each algorithm are thoroughly assessed, offering valuable insights for optimizing photovoltaic (PV) systems. These simulations utilize established mathematical models of PV systems and MPPT algorithms. The findings reveal nuanced differences between the P&O and Incremental Conductance methods. Incremental Conductance demonstrates superior efficiency, particularly in environments with dynamic irradiance levels and partial shading conditions, owing to its ability to dynamically adjust the operating point. However, it exhibits increased implementation complexity compared to the simpler and more robust P&O method. In conclusion, this comparative study offers valuable insights into MPPT algorithm optimization for PV systems. While Incremental Conductance excels in efficiency and adaptability, P&O remains a viable option for applications with limited computational resources or stable environmental conditions due to its simplicity and robustness.

Date: 2024
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:dbk:procee:v:2:y:2024:i::p:1056294piii2024320:id:1056294piii2024320

Access Statistics for this article

More articles in SCT Proceedings in Interdisciplinary Insights and Innovations from AG Editor (Argentina)
Bibliographic data for series maintained by Javier Gonzalez-Argote ().