Fuzzy logic inverter controller in photovoltaic applications: Issues and recommendations

Hannan M A, Zamre Abd Ghani, Md Murshadul Hoque, Pin Jern Ker, Aini Hussain, Azah Mohamed

Research output: Contribution to journalArticle

Abstract

Fossil fuels and other conventional energy sources used to generate electricity are finite. Therefore, alternative energy sources should be pursued to meet present and future energy demands. The photovoltaic (PV) is a promising renewable energy source, especially for the remote areas. The PV is a DC power source that needs to be converted into usable AC power using an inverter. However, its nonlinearity and output fluctuation pose challenges in the design of PV based inverter. In this paper, a PV inverter controller system with the fundamentals of a fuzzy logic controller (FLC) and its applications and execution are reviewed. The different fuzzy controllers, inverter control algorithms, and switching techniques are studied. The findings indicate that the fuzzy logic controls have been gaining attention in the area of power control engineering, especially in inverter controller design for PV applications and generation. The FLC has a flexible and intelligent design, expedient user interface, easy computation and learning system, and combinations of different control algorithms. The FLC is also verifiable for completeness, redundancy, and consistency. However, finding the boundaries of membership functions and other rules of FLC requires manual tuning, long computation time, and considerable effort. This paper comprehensively reviews the FLC-based inverter control system to minimize PV output fluctuations, which cause inverter issues related to output harmonics, power factor, switching schemes, losses, and system implementation. The inverter system and its control strategy for future PV applications and generation require further research and development. Consequently, this review focuses on many factors and challenges and provides recommendations for designing capable and efficient inverter control systems for converting PV power to usable AC power. All the highlighted insights of this review will hopefully lead to increased efforts toward the development of the advanced inverter control systems for PV applications for AC loads and the utility grid.

Original languageEnglish
Article number8642881
Pages (from-to)24934-24955
Number of pages22
JournalIEEE Access
Volume7
DOIs
Publication statusPublished - 1 Jan 2019

Fingerprint

Fuzzy logic
Controllers
Control systems
Membership functions
Fossil fuels
Power control
User interfaces
Redundancy
Learning systems
Electricity
Tuning

Keywords

  • fuzzy logic
  • fuzzy logic controller
  • inverter
  • photovoltaic system
  • Power converter

ASJC Scopus subject areas

  • Computer Science(all)
  • Materials Science(all)
  • Engineering(all)

Cite this

Fuzzy logic inverter controller in photovoltaic applications : Issues and recommendations. / M A, Hannan; Ghani, Zamre Abd; Hoque, Md Murshadul; Ker, Pin Jern; Hussain, Aini; Mohamed, Azah.

In: IEEE Access, Vol. 7, 8642881, 01.01.2019, p. 24934-24955.

Research output: Contribution to journalArticle

M A, Hannan ; Ghani, Zamre Abd ; Hoque, Md Murshadul ; Ker, Pin Jern ; Hussain, Aini ; Mohamed, Azah. / Fuzzy logic inverter controller in photovoltaic applications : Issues and recommendations. In: IEEE Access. 2019 ; Vol. 7. pp. 24934-24955.
@article{b920446b43704746adcc6c910ee0b57c,
title = "Fuzzy logic inverter controller in photovoltaic applications: Issues and recommendations",
abstract = "Fossil fuels and other conventional energy sources used to generate electricity are finite. Therefore, alternative energy sources should be pursued to meet present and future energy demands. The photovoltaic (PV) is a promising renewable energy source, especially for the remote areas. The PV is a DC power source that needs to be converted into usable AC power using an inverter. However, its nonlinearity and output fluctuation pose challenges in the design of PV based inverter. In this paper, a PV inverter controller system with the fundamentals of a fuzzy logic controller (FLC) and its applications and execution are reviewed. The different fuzzy controllers, inverter control algorithms, and switching techniques are studied. The findings indicate that the fuzzy logic controls have been gaining attention in the area of power control engineering, especially in inverter controller design for PV applications and generation. The FLC has a flexible and intelligent design, expedient user interface, easy computation and learning system, and combinations of different control algorithms. The FLC is also verifiable for completeness, redundancy, and consistency. However, finding the boundaries of membership functions and other rules of FLC requires manual tuning, long computation time, and considerable effort. This paper comprehensively reviews the FLC-based inverter control system to minimize PV output fluctuations, which cause inverter issues related to output harmonics, power factor, switching schemes, losses, and system implementation. The inverter system and its control strategy for future PV applications and generation require further research and development. Consequently, this review focuses on many factors and challenges and provides recommendations for designing capable and efficient inverter control systems for converting PV power to usable AC power. All the highlighted insights of this review will hopefully lead to increased efforts toward the development of the advanced inverter control systems for PV applications for AC loads and the utility grid.",
keywords = "fuzzy logic, fuzzy logic controller, inverter, photovoltaic system, Power converter",
author = "{M A}, Hannan and Ghani, {Zamre Abd} and Hoque, {Md Murshadul} and Ker, {Pin Jern} and Aini Hussain and Azah Mohamed",
year = "2019",
month = "1",
day = "1",
doi = "10.1109/ACCESS.2019.2899610",
language = "English",
volume = "7",
pages = "24934--24955",
journal = "IEEE Access",
issn = "2169-3536",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - JOUR

T1 - Fuzzy logic inverter controller in photovoltaic applications

T2 - Issues and recommendations

AU - M A, Hannan

AU - Ghani, Zamre Abd

AU - Hoque, Md Murshadul

AU - Ker, Pin Jern

AU - Hussain, Aini

AU - Mohamed, Azah

PY - 2019/1/1

Y1 - 2019/1/1

N2 - Fossil fuels and other conventional energy sources used to generate electricity are finite. Therefore, alternative energy sources should be pursued to meet present and future energy demands. The photovoltaic (PV) is a promising renewable energy source, especially for the remote areas. The PV is a DC power source that needs to be converted into usable AC power using an inverter. However, its nonlinearity and output fluctuation pose challenges in the design of PV based inverter. In this paper, a PV inverter controller system with the fundamentals of a fuzzy logic controller (FLC) and its applications and execution are reviewed. The different fuzzy controllers, inverter control algorithms, and switching techniques are studied. The findings indicate that the fuzzy logic controls have been gaining attention in the area of power control engineering, especially in inverter controller design for PV applications and generation. The FLC has a flexible and intelligent design, expedient user interface, easy computation and learning system, and combinations of different control algorithms. The FLC is also verifiable for completeness, redundancy, and consistency. However, finding the boundaries of membership functions and other rules of FLC requires manual tuning, long computation time, and considerable effort. This paper comprehensively reviews the FLC-based inverter control system to minimize PV output fluctuations, which cause inverter issues related to output harmonics, power factor, switching schemes, losses, and system implementation. The inverter system and its control strategy for future PV applications and generation require further research and development. Consequently, this review focuses on many factors and challenges and provides recommendations for designing capable and efficient inverter control systems for converting PV power to usable AC power. All the highlighted insights of this review will hopefully lead to increased efforts toward the development of the advanced inverter control systems for PV applications for AC loads and the utility grid.

AB - Fossil fuels and other conventional energy sources used to generate electricity are finite. Therefore, alternative energy sources should be pursued to meet present and future energy demands. The photovoltaic (PV) is a promising renewable energy source, especially for the remote areas. The PV is a DC power source that needs to be converted into usable AC power using an inverter. However, its nonlinearity and output fluctuation pose challenges in the design of PV based inverter. In this paper, a PV inverter controller system with the fundamentals of a fuzzy logic controller (FLC) and its applications and execution are reviewed. The different fuzzy controllers, inverter control algorithms, and switching techniques are studied. The findings indicate that the fuzzy logic controls have been gaining attention in the area of power control engineering, especially in inverter controller design for PV applications and generation. The FLC has a flexible and intelligent design, expedient user interface, easy computation and learning system, and combinations of different control algorithms. The FLC is also verifiable for completeness, redundancy, and consistency. However, finding the boundaries of membership functions and other rules of FLC requires manual tuning, long computation time, and considerable effort. This paper comprehensively reviews the FLC-based inverter control system to minimize PV output fluctuations, which cause inverter issues related to output harmonics, power factor, switching schemes, losses, and system implementation. The inverter system and its control strategy for future PV applications and generation require further research and development. Consequently, this review focuses on many factors and challenges and provides recommendations for designing capable and efficient inverter control systems for converting PV power to usable AC power. All the highlighted insights of this review will hopefully lead to increased efforts toward the development of the advanced inverter control systems for PV applications for AC loads and the utility grid.

KW - fuzzy logic

KW - fuzzy logic controller

KW - inverter

KW - photovoltaic system

KW - Power converter

UR - http://www.scopus.com/inward/record.url?scp=85062703601&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85062703601&partnerID=8YFLogxK

U2 - 10.1109/ACCESS.2019.2899610

DO - 10.1109/ACCESS.2019.2899610

M3 - Article

AN - SCOPUS:85062703601

VL - 7

SP - 24934

EP - 24955

JO - IEEE Access

JF - IEEE Access

SN - 2169-3536

M1 - 8642881

ER -