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1.
NeuroQuantology ; 20(6):9927-9938, 2022.
Article in English | EMBASE | ID: covidwho-2305238

ABSTRACT

Alternative energy alternatives to traditional energy sources like coal and fossil fuels include solar PV and wind energy conversion systems. The solar and wind energy conversion system's maximum power may be obtained by activating the converters. There are several MPPT (Maximum Power Point Tracking) regulating methods for solar and wind energy conversion systems. For solar PV energy conversion systems, this study suggests two MPPT controlling techniques: Covid-19 MPPT and FLC-based MPPT. The two MPPT methods that are suggested are put into practise using MATLAB. The first Covid-19 approach that has been developed combines aspects of hill climbing and progressive conductance methods. Calculate the direction of the perturbation for the PV modules' operation using the incremental conductance approach. The method of ascending hills is straightforward and involves fewer variables. When dI/dV equals the incremental conductance, the Maximum Power Point (MPP) is attained using the incremental conductance approach. In the hill climbing approach, the MPP is determined by comparing the power in the present and the past. Both incremental conductance and change of power are taken into account in the proposed Covid-19 MPPT regulating approach to obtain the MPP. With this hybrid approach, solar PV generates the most electricity possible under all conditions of temperature and irradiance. As a result, the planned Covid-19 technique moves forward as intended and swiftly reaches the MPP.Copyright © 2022, Anka Publishers. All rights reserved.

2.
1st International Conference on Computational Intelligence in Engineering Systems, ICCIES 2021 ; 2494, 2022.
Article in English | Scopus | ID: covidwho-2133903

ABSTRACT

In recent era of 21st century the electronics engineering is prettily well known for its comfort and user-friendly interface. All the low power sensor networks require a power for its routine applications and processes. RF Energy Harvesting (RFH) is emerging potential method for the proactive energy replenishment of next generation wireless networks and for energy crisis problem. Since present all the RF-DC techniques focuses on single or double frequency operation and it mainly deals with single structure antenna design. In this chapter the mathematical simulation model of multi structured frequency reception single antenna is designed under CMOS 5 stage rectification process to provide DC power for remote devices. The chapter-based prototype design of differential Microstrip patch structure for RF energy harvesting, CMOS rectifier which is to be designed in 5/6 stages. A multiple frequency receiver antenna with 3D structure along with its design characteristics in ADS is to be mentioned by this chapter. The presented structure uses various ADS tools and technics for simulation this will provide a basic design learning platform of ADS for researcher. ADS tools like Monte Carlo, optimization techniques and tuning conditions ae mentioned in this chapter for providing step by step simulation guidelines for new users. Currently the world is facing a big outbreak of COVID-19 and our day-to-day life activities gets stuck because of it. Because of technology the world has an option of human remote interaction with database to enforce the social distancing in such pandemic situation. WEH allows IOT sensor node to forage self-sustaining energy from environment. In this entire book chapter, we will get the brief knowledge of WEH system its fundamentals, Mathematical model process of each module, its software design aspects and most important step by step design validation and verification simulation guidance. © 2022 American Institute of Physics Inc.. All rights reserved.

3.
2022 International Conference on Electronics and Renewable Systems, ICEARS 2022 ; : 250-259, 2022.
Article in English | Scopus | ID: covidwho-1831807

ABSTRACT

Country's economic progress rely on the energy which acts as key for development. The energy consumption is on a large scale because of expeditive growth of industries, increased vehicular usage and domestic consumers. The energy produced by fossil fuel causes air pollution which increase the global temperature. To reduce the carbon footprint is a challenging task to conserve the environment. Therefore, people look out for alternative energy sources for power production. In spite of COVID pandemic the energy source which has a rapid growth in last few years is renewable energy sources The developing countries are trying to overwhelm issues relating to generation of power using these conventional energy sources. Solar and wind meet the demand desideratum with the help of converters and controllers. Among these renewable resources most feasible is solar photovoltaic power, because of its unique features such as no rotating parts, doesn't expel any harmful gases, mobility, noiseless that is eco-friendly in nature. Since PV depends on unalterable factors such as irradiance, temperature it suffers from stability, conversion efficiency etc. For extracting maximum power from PV DC-DC converters play a vital role. The converters must have the capability to boost the voltage, reduce ripples and must be stable to meet the needs of Photo Voltaic array - PV Array. Its performance can be further improved by integrating converter with Maximum power point tracking technique. In case of Wind energy system converter must have the capability to have control over reactive power, reduced harmonics, reactive compensation issues. This paper analyses and proposes best converter for PV system that has high gain. © 2022 IEEE.

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