Optimization of Solar Hybrid Power Generation Using Conductance-Fuzzy Dual-Mode Control Method

The functioning of a solar hybrid power system is investigated in this research using a unique fuzzy control method. Turbines, solar photovoltaics, diesel engines, fuel cells, aqua-electrolyzes, and other autonomous generation products are used in the hybrid renewable energy system. Further energy s...

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Main Authors: S. Ramesh, J. Seetha, G. Ramkumar, Satyajeet Sahoo, T. M. Amirthalakshmi, A. Ranjith, Asiful H. Seikh, Sohail M. A. Khan Mohammed, Ram Subbiah
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:International Journal of Photoenergy
Online Access:http://dx.doi.org/10.1155/2022/7756261
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author S. Ramesh
J. Seetha
G. Ramkumar
Satyajeet Sahoo
T. M. Amirthalakshmi
A. Ranjith
Asiful H. Seikh
Sohail M. A. Khan Mohammed
Ram Subbiah
author_facet S. Ramesh
J. Seetha
G. Ramkumar
Satyajeet Sahoo
T. M. Amirthalakshmi
A. Ranjith
Asiful H. Seikh
Sohail M. A. Khan Mohammed
Ram Subbiah
author_sort S. Ramesh
collection DOAJ
description The functioning of a solar hybrid power system is investigated in this research using a unique fuzzy control method. Turbines, solar photovoltaics, diesel engines, fuel cells, aqua-electrolyzes, and other autonomous generation products are used in the hybrid renewable energy system. Further energy storage components of the system include the batteries, turbine, and ultracapacitor. This research incorporates a supercapacitor hybrid energy storage system (HESS) into a solar hybrid power generating system, allowing the consumption and energy storage space and power output to be significantly increased. This study’s approach incorporates a decentralized power generation system with a HESS while increasing electrical output in phases utilizing a dynamic reactive power compensation scheme and a conductance-fuzzy dual-mode control strategy. Due to a nonlinear behavior of photovoltaic (PV) devices’ power output, maximum power point tracking (MPPT) methods must be used to create the greatest power. Infrequently developing atmospheric circumstances, traditional MPPT algorithms do not work adequately. Modeling is used to determine the microgrid’s power output to the photovoltaic hybrid power generating organization, as well as the optimization method for each device in the network. The dynamic power factor correction scheme and also the conductance-fuzzy dual-mode control approach are primarily used in this study to optimize the solar hybrid renewable energy system.
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series International Journal of Photoenergy
spelling doaj-art-d7de3d4930a74a17a3cd95b491d096592025-02-03T06:07:32ZengWileyInternational Journal of Photoenergy1687-529X2022-01-01202210.1155/2022/7756261Optimization of Solar Hybrid Power Generation Using Conductance-Fuzzy Dual-Mode Control MethodS. Ramesh0J. Seetha1G. Ramkumar2Satyajeet Sahoo3T. M. Amirthalakshmi4A. Ranjith5Asiful H. Seikh6Sohail M. A. Khan Mohammed7Ram Subbiah8Department of Electronics and Communication EngineeringDepartment of Computer ScienceDepartment of Electronics and Communication EngineeringDepartment of Electronics and Communication EngineeringDepartment of Electronics and Communication EngineeringDepartment of Electronics and Communication EngineeringDepartment of Mechanical EngineeringDepartment of Mechanical and Industrial EngineeringDepartment of Mechanical EngineeringThe functioning of a solar hybrid power system is investigated in this research using a unique fuzzy control method. Turbines, solar photovoltaics, diesel engines, fuel cells, aqua-electrolyzes, and other autonomous generation products are used in the hybrid renewable energy system. Further energy storage components of the system include the batteries, turbine, and ultracapacitor. This research incorporates a supercapacitor hybrid energy storage system (HESS) into a solar hybrid power generating system, allowing the consumption and energy storage space and power output to be significantly increased. This study’s approach incorporates a decentralized power generation system with a HESS while increasing electrical output in phases utilizing a dynamic reactive power compensation scheme and a conductance-fuzzy dual-mode control strategy. Due to a nonlinear behavior of photovoltaic (PV) devices’ power output, maximum power point tracking (MPPT) methods must be used to create the greatest power. Infrequently developing atmospheric circumstances, traditional MPPT algorithms do not work adequately. Modeling is used to determine the microgrid’s power output to the photovoltaic hybrid power generating organization, as well as the optimization method for each device in the network. The dynamic power factor correction scheme and also the conductance-fuzzy dual-mode control approach are primarily used in this study to optimize the solar hybrid renewable energy system.http://dx.doi.org/10.1155/2022/7756261
spellingShingle S. Ramesh
J. Seetha
G. Ramkumar
Satyajeet Sahoo
T. M. Amirthalakshmi
A. Ranjith
Asiful H. Seikh
Sohail M. A. Khan Mohammed
Ram Subbiah
Optimization of Solar Hybrid Power Generation Using Conductance-Fuzzy Dual-Mode Control Method
International Journal of Photoenergy
title Optimization of Solar Hybrid Power Generation Using Conductance-Fuzzy Dual-Mode Control Method
title_full Optimization of Solar Hybrid Power Generation Using Conductance-Fuzzy Dual-Mode Control Method
title_fullStr Optimization of Solar Hybrid Power Generation Using Conductance-Fuzzy Dual-Mode Control Method
title_full_unstemmed Optimization of Solar Hybrid Power Generation Using Conductance-Fuzzy Dual-Mode Control Method
title_short Optimization of Solar Hybrid Power Generation Using Conductance-Fuzzy Dual-Mode Control Method
title_sort optimization of solar hybrid power generation using conductance fuzzy dual mode control method
url http://dx.doi.org/10.1155/2022/7756261
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