A Novel Nature-Inspired Maximum Power Point Tracking (MPPT) Controller Based on SSA-GWO Algorithm for Partially Shaded Photovoltaic Systems

To overcome the real-time problem of maximum power point tracking (MPPT) for partially shaded photovoltaic (PV) systems, a novel nature-inspired MPPT controller with fast convergence and high accuracy is proposed in this paper. The proposed MPPT controller is achieved by combining salp swarm algorit...

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Main Authors: Yihao Wan, Mingxuan Mao, Lin Zhou, Qianjin Zhang, Xinze Xi, Chen Zheng
Format: Article
Language:English
Published: MDPI AG 2019-06-01
Series:Electronics
Subjects:
Online Access:https://www.mdpi.com/2079-9292/8/6/680
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spelling doaj-9266cb93d4c74acc8e78ec158c29da5c2020-11-25T01:14:52ZengMDPI AGElectronics2079-92922019-06-018668010.3390/electronics8060680electronics8060680A Novel Nature-Inspired Maximum Power Point Tracking (MPPT) Controller Based on SSA-GWO Algorithm for Partially Shaded Photovoltaic SystemsYihao Wan0Mingxuan Mao1Lin Zhou2Qianjin Zhang3Xinze Xi4Chen Zheng5State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400044, ChinaState Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400044, ChinaState Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400044, ChinaState Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400044, ChinaState Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400044, ChinaState Grid Henan Electric Power Research Institute, Zhengzhou 450052, ChinaTo overcome the real-time problem of maximum power point tracking (MPPT) for partially shaded photovoltaic (PV) systems, a novel nature-inspired MPPT controller with fast convergence and high accuracy is proposed in this paper. The proposed MPPT controller is achieved by combining salp swarm algorithm (SSA) with grey wolf optimizer (GWO) (namely, SSA-GWO). The leader structure of the GWO algorithm is introduced into the basic SSA algorithm to enhance the global search capability. Numerical simulation on 13 benchmark functions was done to evaluate the proposed SSA-GWO algorithm. Finally, the MPPT performance on PV system with the proposed SSA-GWO algorithm under static and dynamic partial shading conditions was investigated and compared with conventional MPPT algorithms. The quantitative and simulation results validated the effectiveness and superiority of the proposed method.https://www.mdpi.com/2079-9292/8/6/680Maximum Power Point Tracking (MPPT)Salp Swarm Algorithm (SSA)Grey Wolf optimizer (GWO)Partially Shaded Photovoltaic (PV) System
collection DOAJ
language English
format Article
sources DOAJ
author Yihao Wan
Mingxuan Mao
Lin Zhou
Qianjin Zhang
Xinze Xi
Chen Zheng
spellingShingle Yihao Wan
Mingxuan Mao
Lin Zhou
Qianjin Zhang
Xinze Xi
Chen Zheng
A Novel Nature-Inspired Maximum Power Point Tracking (MPPT) Controller Based on SSA-GWO Algorithm for Partially Shaded Photovoltaic Systems
Electronics
Maximum Power Point Tracking (MPPT)
Salp Swarm Algorithm (SSA)
Grey Wolf optimizer (GWO)
Partially Shaded Photovoltaic (PV) System
author_facet Yihao Wan
Mingxuan Mao
Lin Zhou
Qianjin Zhang
Xinze Xi
Chen Zheng
author_sort Yihao Wan
title A Novel Nature-Inspired Maximum Power Point Tracking (MPPT) Controller Based on SSA-GWO Algorithm for Partially Shaded Photovoltaic Systems
title_short A Novel Nature-Inspired Maximum Power Point Tracking (MPPT) Controller Based on SSA-GWO Algorithm for Partially Shaded Photovoltaic Systems
title_full A Novel Nature-Inspired Maximum Power Point Tracking (MPPT) Controller Based on SSA-GWO Algorithm for Partially Shaded Photovoltaic Systems
title_fullStr A Novel Nature-Inspired Maximum Power Point Tracking (MPPT) Controller Based on SSA-GWO Algorithm for Partially Shaded Photovoltaic Systems
title_full_unstemmed A Novel Nature-Inspired Maximum Power Point Tracking (MPPT) Controller Based on SSA-GWO Algorithm for Partially Shaded Photovoltaic Systems
title_sort novel nature-inspired maximum power point tracking (mppt) controller based on ssa-gwo algorithm for partially shaded photovoltaic systems
publisher MDPI AG
series Electronics
issn 2079-9292
publishDate 2019-06-01
description To overcome the real-time problem of maximum power point tracking (MPPT) for partially shaded photovoltaic (PV) systems, a novel nature-inspired MPPT controller with fast convergence and high accuracy is proposed in this paper. The proposed MPPT controller is achieved by combining salp swarm algorithm (SSA) with grey wolf optimizer (GWO) (namely, SSA-GWO). The leader structure of the GWO algorithm is introduced into the basic SSA algorithm to enhance the global search capability. Numerical simulation on 13 benchmark functions was done to evaluate the proposed SSA-GWO algorithm. Finally, the MPPT performance on PV system with the proposed SSA-GWO algorithm under static and dynamic partial shading conditions was investigated and compared with conventional MPPT algorithms. The quantitative and simulation results validated the effectiveness and superiority of the proposed method.
topic Maximum Power Point Tracking (MPPT)
Salp Swarm Algorithm (SSA)
Grey Wolf optimizer (GWO)
Partially Shaded Photovoltaic (PV) System
url https://www.mdpi.com/2079-9292/8/6/680
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