Hybrid Maximum Power Extraction Methods for Photovoltaic Systems: A Comprehensive Review

Haoming Liu, Muhammad Yasir Ali Khan () and Xiaoling Yuan
Additional contact information
Haoming Liu: College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China
Muhammad Yasir Ali Khan: College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China
Xiaoling Yuan: College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China

Energies, 2023, vol. 16, issue 15, 1-64

Abstract: To efficiently and accurately track the Global Maximum Power Point (GMPP) of the PV system under Varying Environmental Conditions (VECs), numerous hybrid Maximum Power Point Tracking (MPPT) techniques were developed. In this research work, different hybrid MPPT techniques are categorized into three types: a combination of conventional algorithms, a combination of soft computing algorithms, and a combination of conventional and soft computing algorithms are discussed in detail. Particularly, about 90 hybrid MPPT techniques are presented, and their key specifications, such as accuracy, speed, cost, complexity, etc., are summarized. Along with these specifications, numerous other parameters, such as the PV panel’s location, season, tilt, orientation, etc., are also discussed, which makes its selection easier according to the requirements. This research work is organized in such a manner that it provides a valuable path for energy engineers and researchers to select an appropriate MPPT technique based on the projects’ limitations and objectives.

Keywords: hybrid MPPT; photovoltaic (PV); partial shading condition; GMPP; renewable energy (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1996-1073/16/15/5665/pdf (application/pdf)
https://www.mdpi.com/1996-1073/16/15/5665/ (text/html)

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:gam:jeners:v:16:y:2023:i:15:p:5665-:d:1204342

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().