A Novel Global Maximum Power Point Tracking Method for PV System Using Jaya Algorithm

Chao Huang; Zijun Zhang; Long Wang; Zhe Song; Huan Long

doi:10.1109/EI2.2017.8245345

A Novel Global Maximum Power Point Tracking Method for PV System Using Jaya Algorithm

Chao Huang, Zijun Zhang, Long Wang, Zhe Song, Huan Long

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

29 Citations (Scopus)

Abstract

This paper develops a Jaya-based maximum power point tracking (MPPT) method for photovoltaic (PV) arrays working under variable partial shading conditions. In practice, the Jaya is deployed in the inverter to obtain the optimal voltage setting for MPPT through an efficient iterative interaction with the PV system. A simulation study is conducted to validate the effectiveness of the proposed method in tracking the global maximum power point (GMPP) of PV arrays exposed to various partial shading patterns. The performance of the proposed method is benchmarked with PSO which is the most frequently utilized optimization algorithm for PV MPPT. Simulation results illustrate that the proposed method requires less iterations to converge to the GMPP and shows higher dynamical tracking efficiency than PSO methods.

Original language	English
Title of host publication	2017 IEEE Conference on Energy Internet and Energy System Integration (EI2)
Publisher	IEEE
ISBN (Electronic)	9781538614273
ISBN (Print)	9781538614280
DOIs	https://doi.org/10.1109/EI2.2017.8245345
Publication status	Published - Nov 2017
Event	2017 IEEE Conference on Energy Internet and Energy System Integration (IEEE EI22017) - Beijing, China Duration: 26 Nov 2017 → 28 Nov 2017

Publication series

Name	IEEE Conference on Energy Internet and Energy System Integration, EI2 - Proceedings

Conference

Conference	2017 IEEE Conference on Energy Internet and Energy System Integration (IEEE EI22017)
Country/Territory	China
City	Beijing
Period	26/11/17 → 28/11/17

Research Keywords

Jaya algorithm
maximum power point tracking
partial shading conditions
photovoltaic systems
OPTIMIZATION
MPPT

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This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/EI2.2017.8245345

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@inproceedings{206262d74ae84296a56777ccfcd7fd16,

title = "A Novel Global Maximum Power Point Tracking Method for PV System Using Jaya Algorithm",

abstract = "This paper develops a Jaya-based maximum power point tracking (MPPT) method for photovoltaic (PV) arrays working under variable partial shading conditions. In practice, the Jaya is deployed in the inverter to obtain the optimal voltage setting for MPPT through an efficient iterative interaction with the PV system. A simulation study is conducted to validate the effectiveness of the proposed method in tracking the global maximum power point (GMPP) of PV arrays exposed to various partial shading patterns. The performance of the proposed method is benchmarked with PSO which is the most frequently utilized optimization algorithm for PV MPPT. Simulation results illustrate that the proposed method requires less iterations to converge to the GMPP and shows higher dynamical tracking efficiency than PSO methods.",

keywords = "Jaya algorithm, maximum power point tracking, partial shading conditions, photovoltaic systems, OPTIMIZATION, MPPT",

author = "Chao Huang and Zijun Zhang and Long Wang and Zhe Song and Huan Long",

year = "2017",

month = nov,

doi = "10.1109/EI2.2017.8245345",

language = "English",

isbn = "9781538614280",

series = "IEEE Conference on Energy Internet and Energy System Integration, EI2 - Proceedings",

publisher = "IEEE",

booktitle = "2017 IEEE Conference on Energy Internet and Energy System Integration (EI2)",

address = "United States",

note = "2017 IEEE Conference on Energy Internet and Energy System Integration (IEEE EI2<sup> </sup>2017) ; Conference date: 26-11-2017 Through 28-11-2017",

}

Huang, C , Zhang, Z , Wang, L, Song, Z & Long, H 2017, A Novel Global Maximum Power Point Tracking Method for PV System Using Jaya Algorithm. in 2017 IEEE Conference on Energy Internet and Energy System Integration (EI2) . IEEE Conference on Energy Internet and Energy System Integration, EI2 - Proceedings, IEEE, 2017 IEEE Conference on Energy Internet and Energy System Integration (IEEE EI22017), Beijing, China, 26/11/17. https://doi.org/10.1109/EI2.2017.8245345

A Novel Global Maximum Power Point Tracking Method for PV System Using Jaya Algorithm. / Huang, Chao ; Zhang, Zijun ; Wang, Long et al.
2017 IEEE Conference on Energy Internet and Energy System Integration (EI2) . IEEE, 2017. (IEEE Conference on Energy Internet and Energy System Integration, EI2 - Proceedings).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - A Novel Global Maximum Power Point Tracking Method for PV System Using Jaya Algorithm

AU - Huang, Chao

AU - Zhang, Zijun

AU - Wang, Long

AU - Song, Zhe

AU - Long, Huan

PY - 2017/11

Y1 - 2017/11

N2 - This paper develops a Jaya-based maximum power point tracking (MPPT) method for photovoltaic (PV) arrays working under variable partial shading conditions. In practice, the Jaya is deployed in the inverter to obtain the optimal voltage setting for MPPT through an efficient iterative interaction with the PV system. A simulation study is conducted to validate the effectiveness of the proposed method in tracking the global maximum power point (GMPP) of PV arrays exposed to various partial shading patterns. The performance of the proposed method is benchmarked with PSO which is the most frequently utilized optimization algorithm for PV MPPT. Simulation results illustrate that the proposed method requires less iterations to converge to the GMPP and shows higher dynamical tracking efficiency than PSO methods.

AB - This paper develops a Jaya-based maximum power point tracking (MPPT) method for photovoltaic (PV) arrays working under variable partial shading conditions. In practice, the Jaya is deployed in the inverter to obtain the optimal voltage setting for MPPT through an efficient iterative interaction with the PV system. A simulation study is conducted to validate the effectiveness of the proposed method in tracking the global maximum power point (GMPP) of PV arrays exposed to various partial shading patterns. The performance of the proposed method is benchmarked with PSO which is the most frequently utilized optimization algorithm for PV MPPT. Simulation results illustrate that the proposed method requires less iterations to converge to the GMPP and shows higher dynamical tracking efficiency than PSO methods.

KW - Jaya algorithm

KW - maximum power point tracking

KW - partial shading conditions

KW - photovoltaic systems

KW - OPTIMIZATION

KW - MPPT

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DO - 10.1109/EI2.2017.8245345

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9781538614280

T3 - IEEE Conference on Energy Internet and Energy System Integration, EI2 - Proceedings

BT - 2017 IEEE Conference on Energy Internet and Energy System Integration (EI2)

PB - IEEE

T2 - 2017 IEEE Conference on Energy Internet and Energy System Integration (IEEE EI2<sup> </sup>2017)

Y2 - 26 November 2017 through 28 November 2017

ER -

A Novel Global Maximum Power Point Tracking Method for PV System Using Jaya Algorithm

Abstract

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Research Keywords

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