Maximum power point tracking and photovoltaic energy harvesting for Internet of Things: A comprehensive review

This paper presents intelligent control methods to get the maximum power point (MPPT) to be a photovoltaic system that operates with high efficiency when weather conditions change as well as fluctuations in temperatures resulting from sunlight. The proposed method of controlling by fuzzy control techniques is applied with a Direct current to Direct current (DC-DC) converter device. The important steps of the control unit for integrated design. The photovoltaic system, which was designed by Matlab / Simulink, was implemented with simulations of autonomous water pumping techniques. Comparison of results with simulations without MPPT control. We have noticed that the system in the case of using the MPPT that was used in the fuzzy logic unit gave high efficiency for the energy production from the solar cell the crucial control unit steps for integrated design. Simulated autonomous water pumping methods were used to implement the Matlab/Simulink-designed photovoltaic system. Results comparison with simulations lacking MPPT control. We have observed that the system provided great efficiency for the energy generation from the solar cell in the event of using the MPPT that was used in the fuzzy logic unit.

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“…The fuzzy logic control has a merit its ability to be suitable with non-linear models. Fuzzy give an interactive language strategy [16].…”

Section: Current Photovoltaic and Voltage Photovoltaic Curvesmentioning

confidence: 99%

Fuzzy Logic Control to Process Change Irradiation and Temperature in the Solar Cell by Controlling for Maximum Power Point

Hashem

Ahmed

Rhaif

2023

jeasd

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“…e smart factory is a sign of the factory's development in the direction of intelligence. At present, with the rapid development of electronic components and computer software technology, various sensors and software systems are used to realize the informatization of the whole process of factory informatization; and all processes in the production workshop are remotely controlled, and the output after the product is manufactured is then completed [27][28][29][30]. e logistics of goods sales also realizes the whole process tracking.…”

Section: Smart Factorymentioning

confidence: 99%

Application of Internet of Things in Smart Factories under the Background of Industry 4.0 and 5G Communication Technology

Diao

Sun

2022

Mathematical Problems in Engineering

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The key identification element of the smart factory is the interconnection between devices, which solves the production method and development dilemma of the factory under Industry 3.0 and previous models. The new article published by Xinhua News Agency on January 16, 2022, advocates the idea of industry+ Internet, and its main goal is to realize intelligent production. At present, smart factories have become the main development direction of industrial enterprises in the world. 5G technology has been rapidly deployed with the development of mobile communication, and its performance has also been greatly improved compared to previous communication technologies. After China put forward the smart manufacturing 2025 plan, although a large number of enterprises are still lingering in the process of research, learning, and exploration, the idea of Industry 4.0 has taken root in various intelligent manufacturing enterprises, and the development route of Chinese manufacturing enterprises in the future has been ahead of schedule. Direction. Based on the basic theory of Industry 4.0, 5G wireless communication, Internet of Things, and smart factories, this paper firstly distributed questionnaires to 20 enterprises with smart factories by means of network and interview and reanalyzed the collected questionnaires by regression analysis method and then used the questionnaire scale analysis method to analyze the reliability and validity of the questionnaire and combined with the results of the questionnaire analysis to analyze the problems existing in the current smart factory. Finally, based on the background of Industry 4.0 and 5G communication technology, combined with the Internet of Things technology, the development layout of the smart factory is designed; that is, based on the elliptic curve encryption algorithm, the signature mechanism of mutual trust of all electronic devices in the IoT smart factory is set to improve the smart factory.

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“…These sources of energy, however, are intermittent in nature, and are highly dependent on environmental factors; for instance, the speed and direction of the wind affect the generation of wind power plants, and solar irradiation impacts the output power of photovoltaic cells. To improve the efficiency of such resources and the reliability of the entire grid, IIoT systems can be used to ensure a constant supply of safe, economical, and reliable energy [28]- [30]. In fact, IIoT systems can use sensor measurements, a cloud computing platform, and enhanced load and weather models to accurately and efficiently control renewable energy resources [22].…”

Section: ) Control Of Renewable Energy Resourcesmentioning

confidence: 99%

Cyber-Security of Industrial Internet of Things in Electric Power Systems

2022

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Electric Power Systems (EPSs) are among the most critical infrastructures of any society, since they significantly impact other infrastructures. Recently, there has been a trend toward implementing modern technologies, such as Industrial Internet of Things (IIoT), in EPSs to enhance their real-time monitoring, control, situational awareness, and intelligence. This movement, however, has exposed EPSs to various cyber intrusions that originate from the IIoT ecosystem. Statistics show that 38% of reported attacks have been against power and water infrastructure, and so far at least 91% of power utilities have experienced a cyber-attack. The cyber-security problem is even more severe for IIoT applications in EPSs due to the vulnerabilities and resource limitations of such applications. Thus, based on the above statistics, it is necessary to investigate the vulnerabilities of IIoT-based applications in EPSs, identify probable attacks and their consequences, and develop intrusion prevention and detection approaches to secure IIoT systems. On this basis, this paper first elaborates on the applications of IIoT-based systems in EPSs, and evaluates their security challenges. Afterwards, it comprehensively reviews various cyber-attacks against IIoT-assisted EPSs, with a particular focus on attack entry points and adversarial methods. Finally, efforts to prevent cyber-intrusions against IIoT systems in EPSs are explained, and different attack detection techniques are discussed.INDEX TERMS Cyber-attacks, cyber-security, electric power systems, industrial internet of things, intrusion detection systems. I. TRANSFORMATION OF IOT TO IIOT

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Maximum power point tracking and photovoltaic energy harvesting for Internet of Things: A comprehensive review

Cited by 29 publications

References 85 publications

Fuzzy Logic Control to Process Change Irradiation and Temperature in the Solar Cell by Controlling for Maximum Power Point

Fuzzy Logic Control to Process Change Irradiation and Temperature in the Solar Cell by Controlling for Maximum Power Point

Application of Internet of Things in Smart Factories under the Background of Industry 4.0 and 5G Communication Technology

Cyber-Security of Industrial Internet of Things in Electric Power Systems

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