Design and Analysis of Neural Network-Based MPPT Technique for Solar Power-Based Electric Vehicle Application

Murali, M.; Basha, CH Hussaian; Kiran, Shaik Rafi; Amaresh, K.

doi:10.1007/978-981-16-4321-7_44

Cited by 16 publications

(2 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Also, the negative streamer ticker that of the positive streamer. The luminous intensity is high with MO [22]. Furthermore, the streamer initiation in MO is in the middle, whereas close to point electrode in natural ester oil.…”

Section: Recent Trends In Liquid Dielectricsmentioning

confidence: 87%

An Experimental Analysis of Degradation of Cellulosic Insulating Material Immersed in Natural Ester Oil for Transformer

Basha¹,

Mariprasath²,

Kiran³

et al. 2022

ECS Trans.

View full text Add to dashboard Cite

The physical, chemical and electrical prosperities of MO is matched as an insulating material for transformer. Therefore, it can be used in transformers. Whereas, the MO is extracted from the fossil fuels. Due to vast consumption of fossil fuels, the accessibility of vestige fuel is going to run out near future. In addition, the MO (MO) is doesn’t meet the new environmental regulation due to it has less biodegradable. Therefore, this research proposed a new ecological friendly insulating oil for transformer which is renewable that of petroleum based insulating oil such as MO. Initially, a critical review has been made on recent development on alternate liquid dielectrics for transformer. Subsequently, critical characteristics of insulating oil have been measured according to the standard. Added to that, the critical characteristics of Natural Ester Oil (NEO) are estimated at diverse temperatures from 50°C, 70°C, 90°C, 110°C, 130°C, and 150°C respectively.

show abstract

Section: Recent Trends In Liquid Dielectricsmentioning

confidence: 87%

An Experimental Analysis of Degradation of Cellulosic Insulating Material Immersed in Natural Ester Oil for Transformer

Basha¹,

Mariprasath²,

Kiran³

et al. 2022

ECS Trans.

View full text Add to dashboard Cite

show abstract

“…Among the classical MPPT techniques, we mention Perturb and observe P&O [19][20][21] , Incremental Conductance (INC) [22][23][24] , and Hill Climbing (HC) [25][26][27] . However, each technique has specific strengths and weaknesses; for example, P&O and HC are simple and require fewer sensors than other techniques 28,29 .…”

mentioning

confidence: 99%

A new intelligently optimized model reference adaptive controller using GA and WOA-based MPPT techniques for photovoltaic systems

Deghfel,

Badoud,

Merahi

et al. 2024

Sci Rep

View full text Add to dashboard Cite

Recently, the integration of renewable energy sources, specifically photovoltaic (PV) systems, into power networks has grown in significance for sustainable energy generation. Researchers have investigated different control algorithms for maximum power point tracking (MPPT) to enhance the efficiency of PV systems. This article presents an innovative method to address the problem of maximum power point tracking in photovoltaic systems amidst swiftly changing weather conditions. MPPT techniques supply maximum power to the load during irradiance fluctuations and ambient temperatures. A novel optimal model reference adaptive controller is developed and designed based on the MIT rule to seek global maximum power without ripples rapidly. The suggested controller is also optimized through two popular meta-heuristic algorithms: The genetic algorithm (GA) and the whale optimization algorithm (WOA). These meta-heuristic approaches have been exploited to overcome the difficulty of selecting the adaptation gain of the MRAC controller. The reference voltage for MPPT is generated in the study through an adaptive neuro-fuzzy inference system. The suggested controller’s performance is tested via MATLAB/Simulink software under varying temperature and radiation circumstances. Simulation is carried out using a Soltech 1sth-215-p module coupled to a boost converter, which powers a resistive load. Furthermore, to emphasize the recommended algorithm’s performance, a comparative study was done between the optimal MRAC using GA and WOA and the conventional incremental conductance (INC) method.

show abstract

A New Way of Optimal Scheduling of Virtual Energy Storages for Microgrids Regulation

Hussaian Basha,

Manjunatha Babu,

Velpula

et al. 2024

Proceedings of International Conference on Computational Intelligence

View full text Add to dashboard Cite

Design and Analysis of Neural Network-Based MPPT Technique for Solar Power-Based Electric Vehicle Application

Cited by 16 publications

References 15 publications

An Experimental Analysis of Degradation of Cellulosic Insulating Material Immersed in Natural Ester Oil for Transformer

An Experimental Analysis of Degradation of Cellulosic Insulating Material Immersed in Natural Ester Oil for Transformer

A new intelligently optimized model reference adaptive controller using GA and WOA-based MPPT techniques for photovoltaic systems

A New Way of Optimal Scheduling of Virtual Energy Storages for Microgrids Regulation

Contact Info

Product

Resources

About