A novel approach for fuzzy logic PV inverter controller optimization using lightning search algorithm

Hussain Shareef, Ammar Hussein Mutlag, Azah Mohamed

Research output: Contribution to journalArticle

18 Citations (Scopus)

Abstract

Photovoltaic (PV) inverters convert DC voltage and current to AC quantities whose magnitude and frequency are controlled to obtain the desired output. While there are plenty of controllers, it is the fuzzy logic controller (FLC) that receives increasing attention. In this study, a novel metaheuristic optimization algorithm known as lightning search algorithm (LSA) is presented for solving the problem of trial and error procedure in obtaining membership functions (MFs) used in the conventional FLCs. The LSA mimics the natural phenomenon of lightning. It is generalized from the mechanism of step leader propagation. The proposed optimization algorithm considers the concept of fast particles known as projectiles. The probabilistic nature and tortuous characteristics of lightning discharges, which depend on the type of projectile, are modeled using various random distribution functions. To evaluate the reliability and efficiency of the proposed algorithm, the LSA is first tested using 10 benchmark functions with various characteristics necessary to evaluate a new algorithm. Then it is used in designing optimum FLC for standalone PV inverter. The result demonstrates that the LSA generally provides better outcome compared with the other tested methods with a high convergence rate.

Original languageEnglish
Pages (from-to)435-453
Number of pages19
JournalNeurocomputing
Volume168
DOIs
Publication statusPublished - 30 Nov 2015

Fingerprint

Lightning
Fuzzy Logic
Fuzzy logic
Controllers
Projectiles
Benchmarking
Membership functions
Distribution functions
Efficiency

Keywords

  • Fuzzy logic controller (FLC)
  • Inverter
  • Lightning search algorithm (LSA)
  • Nature-inspired algorithms
  • Photovoltaic (PV)

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Cognitive Neuroscience

Cite this

A novel approach for fuzzy logic PV inverter controller optimization using lightning search algorithm. / Shareef, Hussain; Mutlag, Ammar Hussein; Mohamed, Azah.

In: Neurocomputing, Vol. 168, 30.11.2015, p. 435-453.

Research output: Contribution to journalArticle

Shareef, Hussain ; Mutlag, Ammar Hussein ; Mohamed, Azah. / A novel approach for fuzzy logic PV inverter controller optimization using lightning search algorithm. In: Neurocomputing. 2015 ; Vol. 168. pp. 435-453.
@article{4851e9c91ea64add8575b027debafa46,
title = "A novel approach for fuzzy logic PV inverter controller optimization using lightning search algorithm",
abstract = "Photovoltaic (PV) inverters convert DC voltage and current to AC quantities whose magnitude and frequency are controlled to obtain the desired output. While there are plenty of controllers, it is the fuzzy logic controller (FLC) that receives increasing attention. In this study, a novel metaheuristic optimization algorithm known as lightning search algorithm (LSA) is presented for solving the problem of trial and error procedure in obtaining membership functions (MFs) used in the conventional FLCs. The LSA mimics the natural phenomenon of lightning. It is generalized from the mechanism of step leader propagation. The proposed optimization algorithm considers the concept of fast particles known as projectiles. The probabilistic nature and tortuous characteristics of lightning discharges, which depend on the type of projectile, are modeled using various random distribution functions. To evaluate the reliability and efficiency of the proposed algorithm, the LSA is first tested using 10 benchmark functions with various characteristics necessary to evaluate a new algorithm. Then it is used in designing optimum FLC for standalone PV inverter. The result demonstrates that the LSA generally provides better outcome compared with the other tested methods with a high convergence rate.",
keywords = "Fuzzy logic controller (FLC), Inverter, Lightning search algorithm (LSA), Nature-inspired algorithms, Photovoltaic (PV)",
author = "Hussain Shareef and Mutlag, {Ammar Hussein} and Azah Mohamed",
year = "2015",
month = "11",
day = "30",
doi = "10.1016/j.neucom.2015.05.083",
language = "English",
volume = "168",
pages = "435--453",
journal = "Neurocomputing",
issn = "0925-2312",
publisher = "Elsevier",

}

TY - JOUR

T1 - A novel approach for fuzzy logic PV inverter controller optimization using lightning search algorithm

AU - Shareef, Hussain

AU - Mutlag, Ammar Hussein

AU - Mohamed, Azah

PY - 2015/11/30

Y1 - 2015/11/30

N2 - Photovoltaic (PV) inverters convert DC voltage and current to AC quantities whose magnitude and frequency are controlled to obtain the desired output. While there are plenty of controllers, it is the fuzzy logic controller (FLC) that receives increasing attention. In this study, a novel metaheuristic optimization algorithm known as lightning search algorithm (LSA) is presented for solving the problem of trial and error procedure in obtaining membership functions (MFs) used in the conventional FLCs. The LSA mimics the natural phenomenon of lightning. It is generalized from the mechanism of step leader propagation. The proposed optimization algorithm considers the concept of fast particles known as projectiles. The probabilistic nature and tortuous characteristics of lightning discharges, which depend on the type of projectile, are modeled using various random distribution functions. To evaluate the reliability and efficiency of the proposed algorithm, the LSA is first tested using 10 benchmark functions with various characteristics necessary to evaluate a new algorithm. Then it is used in designing optimum FLC for standalone PV inverter. The result demonstrates that the LSA generally provides better outcome compared with the other tested methods with a high convergence rate.

AB - Photovoltaic (PV) inverters convert DC voltage and current to AC quantities whose magnitude and frequency are controlled to obtain the desired output. While there are plenty of controllers, it is the fuzzy logic controller (FLC) that receives increasing attention. In this study, a novel metaheuristic optimization algorithm known as lightning search algorithm (LSA) is presented for solving the problem of trial and error procedure in obtaining membership functions (MFs) used in the conventional FLCs. The LSA mimics the natural phenomenon of lightning. It is generalized from the mechanism of step leader propagation. The proposed optimization algorithm considers the concept of fast particles known as projectiles. The probabilistic nature and tortuous characteristics of lightning discharges, which depend on the type of projectile, are modeled using various random distribution functions. To evaluate the reliability and efficiency of the proposed algorithm, the LSA is first tested using 10 benchmark functions with various characteristics necessary to evaluate a new algorithm. Then it is used in designing optimum FLC for standalone PV inverter. The result demonstrates that the LSA generally provides better outcome compared with the other tested methods with a high convergence rate.

KW - Fuzzy logic controller (FLC)

KW - Inverter

KW - Lightning search algorithm (LSA)

KW - Nature-inspired algorithms

KW - Photovoltaic (PV)

UR - http://www.scopus.com/inward/record.url?scp=84937814154&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84937814154&partnerID=8YFLogxK

U2 - 10.1016/j.neucom.2015.05.083

DO - 10.1016/j.neucom.2015.05.083

M3 - Article

AN - SCOPUS:84937814154

VL - 168

SP - 435

EP - 453

JO - Neurocomputing

JF - Neurocomputing

SN - 0925-2312

ER -