ANN-based dynamic control and energy management of inverter and battery in a grid-tied hybrid renewable power system fed through switched Z-source converter

Santhoshi, B. Kavya; Sundaram, K. Mohana; Kumar, L. Ashok

doi:10.1007/s00202-021-01231-7

Cited by 24 publications

(8 citation statements)

References 32 publications

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“…A switched Z-source converter was employed in [17] at the PV side to guarantee continuous current operation through the mode of the grid-connected inverter. Pulse Width Modulation (PWM) rectifier linked with wind turbine transformed AC power into DC.…”

Section: Related Workmentioning

confidence: 99%

Gaussian PI Controller Network Classifier for Grid-Connected Renewable Energy System

Samikannu¹,

Vinoth²,

Rao³

et al. 2023

Intelligent Automation &Amp; Soft Computing

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Multi-port converters are considered as exceeding earlier period decade owing to function in a combination of different energy sources in a single processing unit. Renewable energy sources are playing a significant role in the modern energy system with rapid development. In renewable sources like fuel combustion and solar energy, the generated voltages change due to their environmental changes. To develop energy resources, electric power generation involved huge awareness. The power and output voltages are plays important role in our work but it not considered in the existing system. For considering the power and voltage, Gaussian PI Controller-Maxpooling Deep Convolutional Neural Network Classifier (GPIC-MDCNNC) Model is introduced for the grid-connected renewable energy system. The input information is collected from two input sources. After that, input layer transfer information to hidden layer 1 fuzzy PI is employed for controlling voltage in GPIC-MDCNNC Model. Hidden layer 1 is transferred to hidden layer 2. Gaussian activation is employed for determining the output voltage with help of the controller. At last, the output layer offers the last value in GPIC-MDCNNC Model. The designed method was confirmed using one and multiple sources by stable and unpredictable input voltages. GPIC-MDCNNC Model increases the performance of grid-connected renewable energy systems by enhanced voltage value compared with state-of-the-art works. The control technique using GPIC-MDCNNC Model increases the dynamics of hybrid energy systems connected to the grid.

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Section: Related Workmentioning

confidence: 99%

Gaussian PI Controller Network Classifier for Grid-Connected Renewable Energy System

Samikannu¹,

Vinoth²,

Rao³

et al. 2023

Intelligent Automation &Amp; Soft Computing

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“…Using this method, the intermittent character of renewable energy sources is reduced, and local support to the grid is provided when renewable energy sources are not accessible [19]. It is feasible to offer a flexible and cost-effective interface solution by transmitting all of the power through a highly accessible and energy efficient dc transmission system [20]. Maintaining a reference voltage of 600 V and connecting the PCC to the power grid via a three phases inverter is required in order to keep PCC operational.…”

Section: Proposed Systemmentioning

confidence: 99%

An Optimized PI Controller-Based SEPIC Converter for Microgrid-Interactive Hybrid Renewable Power Sources

Mohanta

Geetha

Alzaidi

et al. 2022

Wireless Communications and Mobile Computing

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With the use of hybrid renewable sources for example solar and wind turbines, an autonomous electric power generation system based on self-sufficient electric power generation is built in order to promote a smart and ecologically friendly environment. The three-phase inverter that links this scattered generating unit to the grid is in charge of ensuring that it is properly connected to the grid. While the energy produced by the hybrid unit is being utilized, it is also being stored in the batteries so that it may be used to transport power when other sources of power are not available, such as when the grid is down. This stand-alone power conversion and storage system is being built with the aid of power electronic converters and controllers, among other components, in order to ensure balanced power flow operation. To produce PWM pulses for the generator side converter, a PI controller is utilized. On the PV side, an improved PI controller is used to drive the SEPIC converter, which increases the transient responsiveness of the converter while it is being controlled by the controller. In order to communicate with the grid, the generated electricity is routed via a three-phase inverter that is controlled according to the DQ theory. The challenges connected with poor power quality are substantially resolved by the converters that have been presented. For simplicity of use, an automated control function has been introduced; in addition, an interactive MATLAB model of the system is being developed for minor and medium-scale microgrid applications; also, a prototype is being created to verify the simulation results.

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“…Here, the amplification process was controlled and the frequency components were automatically identified. The use of CNTFET sensors in biomedical applications is growing at a rapid pace [29][30][31].…”

Section: Associated Workmentioning

confidence: 99%

Improved Carbon Nanotube Field Effect Transistor for Designing a Hearing Aid Filtering Application

Sundaram

Prakash²,

Karthikeyan

et al. 2021

Journal of Nanomaterials

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Designing a hearing aid device is one of the challenging applications recently, since it is useful for the people with hearing loss. For this purpose, various circuit designing procedures such as MOSFET and carbon nanotube field effect transistor (CNTFET) are introduced in the existing works. But it mainly lacks the following drawbacks: increased leakage current, not highly efficient, and increased area and power consumption. In order to mitigate these issues, this paper is aimed at designing an improved CNTFET (ECNFET) for hearing aid filtering application. The major objectives of the proposed work are leakage current minimization and the improvements in transconductance and mobility. At first, the layout is designed with 10 layers based on the specific dimensionalities, and different materials are placed in each and every layer. It includes gold, silicon, silicon dioxide, bismuth telluride, and carbon tube. Then, the parameters such as band gap, electron concentration, hole concentration, electron mobility, hole mobility, and insulator breakage voltage are verified to determine the efficiency of the layout. If all the parameters are satisfied, the characteristics such as voltage current, leakage current, mobility, and transconductance are validated. If all measures are satisfied, the library is created for the designed ECNFET layout by using the Comsol tool. Furthermore, the operational amplifier is designed based on the generated library function. After amplification, the hearing aid filter is designed with the use of the proposed ECNFET layout. The experimental validation of the proposed work and comparison with the existing method based on the measures of area consumption, power consumption, speed, and frequency range confirm the effectiveness of ECNTFET in filtering applications.

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ANN-based dynamic control and energy management of inverter and battery in a grid-tied hybrid renewable power system fed through switched Z-source converter

Cited by 24 publications

References 32 publications

Gaussian PI Controller Network Classifier for Grid-Connected Renewable Energy System

Gaussian PI Controller Network Classifier for Grid-Connected Renewable Energy System

An Optimized PI Controller-Based SEPIC Converter for Microgrid-Interactive Hybrid Renewable Power Sources

Improved Carbon Nanotube Field Effect Transistor for Designing a Hearing Aid Filtering Application

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