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Category: IJMET

IJMET

Bluetooth Technology: Security Issues and its Prevention

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Article

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u00a0A. Singh, Soumya Gupta,

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nJanuary 9, 2023 at 6:25 am

nAbstract

Bluetooth is a new RF short range wireless personnel Area Network (PAN) which is designed for wireless communication between different devices. Starting from the headset cable replacement it has been extended to support flexible ad-hoc networks. It is gaining increasing popularity and acceptance in the world today. The current data rate for Bluetooth is 1 Mbps. However, as Bluetooth technology is becoming widespread, vulnerabilities in its security are increasing which can be dangerous to the user’s personal information. This study first gives some background information about Bluetooth system and presents the malicious intervention about the attacks on devices while connecting with other devices during the exchange of data and then it concentrates on specific security measures mainly authentication, encryption.

Volume :u00a0u00a08 | Issue :u00a0u00a01 | Received :u00a0u00a0June 3, 2021 | Accepted :u00a0u00a0June 10, 2021 | Published :u00a0u00a0June 16, 2021n[if 424 equals=”Regular Issue”][This article belongs to International Journal of Microwave Engineering and Technology(ijmet)] [/if 424][if 424 equals=”Special Issue”][This article belongs to Special Issue Bluetooth Technology: Security Issues and its Prevention under section in International Journal of Microwave Engineering and Technology(ijmet)] [/if 424]
Keywords Bluetooth security, pairing, malicious attackers, network security, Man-in-the-middle attack (MIM).

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1. Nateq Be-Nazir Ibn Minar, Mohammed Tarique. Bluetooth Security Threats and Solution: A Survey. In International Journal of Distributed and Parallel Systems (IJDPS). 2012 Jan; 3(1): 127–148.
2. Trishna Panse, Prashant Panse. A Survey on Security Threats and Vulnerability attacks on Bluetooth Communication. International Journal of Computer Science and Information Technologies (IJCSIT). 2013; 4(5): 741–746. ISSN: 0975-9646.
3. Tzu-Chang Yeh, Jian-Ren Peng, Sheng-Shih Wang, Jun-Ping Hsu. Securing Bluetooth communication. Int J Netw Secur. 2012 Jul; 14(4): 229–235.
4. Praveen Kumar Mishra. Bluetooth Security Threats. International Journal of Computer Science & Engineering Technology (IJCSET). 2013; 4(2): 147–151.
5. Dieter Gollmann. Computer security. 2nd Edn. Wiley; 2007 Jan 1. Paperback.
6. Satwant Kaur First Lady of Emerging Technologies. USA: Silicon Valley; 2014.
7. Tarun Kumar. Improving pairing mechanism in Bluetooth security. International Journal of Recent Trends in Engineering. 2009 Nov; 2(2): 165–169.
8. Karen Scarfone, John Padgette. Guide to Bluetooth Security. USA: NSIT; 2012, Jun 30. Paperback.

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DOI: https://doi.org/10.37628/IJMET.v8i1.90566

n[/if 1114]

[if 424 not_equal=”Regular Issue”] Regular Issue[/if 424] Open Access Article

International Journal of Microwave Engineering and Technology

ISSN: 2455-0337

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Editors Overview

ijmet maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.

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A. Singh, Soumya Gupta

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Assistant Professor, Student,Bansal Institute of Engineering and Technology, Bansal Institute of Engineering and Technology Lucknow,Lucknow, Uttar Pradesh, Uttar Pradesh,India, India

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Abstract

nBluetooth is a new RF short range wireless personnel Area Network (PAN) which is designed for wireless communication between different devices. Starting from the headset cable replacement it has been extended to support flexible ad-hoc networks. It is gaining increasing popularity and acceptance in the world today. The current data rate for Bluetooth is 1 Mbps. However, as Bluetooth technology is becoming widespread, vulnerabilities in its security are increasing which can be dangerous to the user’s personal information. This study first gives some background information about Bluetooth system and presents the malicious intervention about the attacks on devices while connecting with other devices during the exchange of data and then it concentrates on specific security measures mainly authentication, encryption.n

Keywords: Bluetooth security, pairing, malicious attackers, network security, Man-in-the-middle attack (MIM).

n[if 424 equals=”Regular Issue”][This article belongs to International Journal of Microwave Engineering and Technology(ijmet)]

n[/if 424][if 424 equals=”Special Issue”][This article belongs to Special Issue under section in International Journal of Microwave Engineering and Technology(ijmet)] [/if 424]

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https://storage.googleapis.com/journals-stmjournals-com-wp-media-to-gcp-offload/2023/01/37675f9f-bluetooth-technology-security-issues-and-its-preventions-1.pdf

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DOI: https://doi.org/10.37628/IJMET.v8i1.90566

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Regular Issue Open Access Article

International Journal of Microwave Engineering and Technology

[if 344 not_equal=””]ISSN: 2455-0337[/if 344]

Volume	8
Issue	1
Received	June 3, 2021
Accepted	June 10, 2021
Published	June 16, 2021

Editor

Reviewer

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IJMET, Special Issue

Introduction to Microwave Amplifiers, Transmitters, and Planar Circuits

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International Journal of Microwave Engineering and Technology

ISSN: 2455-0337

Journal Menu

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ijmet maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.

Open Access

Special Issue

Topic

n Introduction to Microwave Amplifiers, Transmitters, and Planar Circuitsn

Abstract Submission Deadline : November 30, 2023

Manuscript Submission Deadline : December 25, 2023

n [if 457 equals=”Special Issue”]

[This article belongs to Special Issue Introduction to Microwave Amplifiers, Transmitters, and Planar Circuits under section ijmet in International Journal of Microwave Engineering and Technology(ijmet)] [/if 457]n

n Special Issue Descriptionn

A microwave amplifier is a device that boosts a microwave device’s output power signal, typically by boosting the wave’s amplitude or height, which is directly proportional to its power level. This is done by increasing the microwave device’s input power so that its microwave radiation carries more energy. These amplifiers are typically employed by the military for electronic warfare, radar systems, and broadband communications. They operate at low frequencies of the radio wave spectrum, typically in the range of 300 megahertz or higher.

n [if 233 not_equal=””]Editor [foreach 234]n

n [/foreach][/if 233]n Keywordsn n Manuscript Submission informationn

Manuscripts should be submitted online via the manuscript Engine. Once you register on APID, click here to go to the submission form. Manuscripts can be submitted until the deadline.n All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the email address:[email protected] for announcement on this website.n Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a Double-blind peer-review process. A guide for authors and other relevant information for the submission of manuscripts is available on the Instructions for Authors page.

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International Journal of Microwave Engineering and Technology

ISSN: 2455-0337

Journal Menu

Instructions for Authors

Article Processing Charges

Editors Overview

ijmet maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.

Open Access

Special Issue

Topic

n Introduction to Microwave Amplifiers, Transmitters, and Planar Circuitsn

Abstract Submission Deadline : November 30, 2023

Manuscript Submission Deadline : December 25, 2023

n [if 457 equals=”Special Issue”]

n Special Issue Descriptionn

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n [/foreach][/if 233]n Keywordsn n Manuscript Submission informationn

n Participating journals: n

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Journal Name

nInternational Journal of Microwave Engineering and Technologyn

Abbrivation

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n 2455-0337

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IJMET, Special Issue

International Journal of Microwave Engineering and Technology

[{“box”:0,”content”:”

International Journal of Microwave Engineering and Technology

ISSN: 2455-0337

Journal Menu

Instructions for Authors

Article Processing Charges

Editors Overview

ijmet maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.

Open Access

Special Issue

Topic

n International Journal of Microwave Engineering and Technologyn

Abstract Submission Deadline : November 30, 2023

Manuscript Submission Deadline : December 25, 2023

n [if 457 equals=”Special Issue”]

[This article belongs to Special Issue International Journal of Microwave Engineering and Technology under section ijmet in International Journal of Microwave Engineering and Technology(ijmet)] [/if 457]n

n Special Issue Descriptionn

Information is transmitted using microwave waves, which have wavelengths in the microwave region (1 m to 1 mm) of the electromagnetic spectrum. Since microwave signals are often line-of-sight only, a network of repeaters called a microwave relay is necessary for long-distance transmission using these signals. A narrow microwave beam is employed in the technology of microwave radio relay to convey data between two terrestrial sites. A microwave transmitter and directional antenna send a narrow beam of microwaves carrying numerous channels of information on a line-of-sight path to a second relay station, where it is received by a directional antenna and receiver, creating a fixed radio connection between the two places. Due to their short wavelength and ability to focus on narrow beams that can be targeted directly at the receiving antenna, microwaves are frequently utilized for point-to-point communications. As opposed to lower frequency radio waves, which interfere with one another, this enables neighboring microwave equipment to operate on the same frequencies. By reusing frequencies, radio spectrum bandwidth is preserved. The proper operation of autos depends on the engine oils and gasoline being pure. The purity and adulteration of engine oil and fuels are detected in automobiles using an asymmetric coplanar strip fed stepped impedance resonator (SIR) coupled single split ring resonator (SSRR) sensor. Intentional adulteration, aging, or inadequate packaging are all possible sources of edible oil contamination. Contaminated oil is harmful to human health and can cause several diseases. Dielectric spectroscopy with microwave sensors has been widely utilized to detect adulteration in culinary oils. liquid characterization with cavity resonator-based sensors.

n [if 233 not_equal=””]Editor [foreach 234]n

n [/foreach][/if 233]n Keywordsn n Manuscript Submission informationn

n Participating journals:n

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nInternational Journal of Microwave Engineering and Technologyn

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n ijmetn

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n 2455-0337

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APC

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View Published Paper[/if 259]n

Use of Machine Learning Algorithms in Power System Load Forecasting: A review

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Article

By [foreach 286]u00a0

u00a0Balarihun Mawtyllup, Bikramjit Goswami,

[/foreach]
nJanuary 9, 2023 at 6:34 am

nAbstract

The electrical load forecasting has become one of the most important fields of research for secured, efficient, accurate, reliable power dispatch and management. The main aim of load demand forecasting is to predict the load demand for accurate generation scheduling, system security and economic dispatch of load at any time. Many Authors have done research on the evaluation of load forecasting methods, to improve the accuracy of prediction. In load forecasting, it is essential to cover all time zones from short term to long term, to have a better management of the power system. It is challenging to have an accuracy result with less input data. Machine learning methods have obtained more attention as dealing with randomness in load arrangement is the need. This paper presents the review of several machine learning methods used for load forecasting, viz., SVM, Regression, ANN, Fuzzy logic etc. and to evaluate performance of different methods using electricity consumption dataset, compare between different methods as well as in analyzing calculation complexities of parameters such as-MAPE, RMSE etc.

Volume :u00a0u00a07 | Issue :u00a0u00a01 | Received :u00a0u00a0November 16, 2021 | Accepted :u00a0u00a0December 11, 2021 | Published :u00a0u00a0December 14, 2021n[if 424 equals=”Regular Issue”][This article belongs to International Journal of Microwave Engineering and Technology(ijmet)] [/if 424][if 424 equals=”Special Issue”][This article belongs to Special Issue Use of Machine Learning Algorithms in Power System Load Forecasting: A review under section in International Journal of Microwave Engineering and Technology(ijmet)] [/if 424]
Keywords Load forecasting, Machine Learning, ANN, Regression, RMSE.

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References

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1. Behnam Farsi, ManarAmayri, Nizar Bouguila, and Ursula Eicker. On Short term Load Forecasting using Machine Learning Technique and a Novel Parallel Deep LSTM-CNN Approach. (2021) IEEE Access (Volume: 9) 31191–31212.
2. Weilin Guo, Liang Che, Mohammad Shahidehpour, xin Wan. Machine Learning based Methods in Short-term Load Forecasting (2021) The Electricity Journal, 2021–Elsevier.
3. ElvisaBecirovic and MarijanaCosovic. Machine learning technique for short term load forecasting.2021.
4. Ibrahim Salem johan, Vaclav Snasel and Stanislav Misak. Intelligent System for Power Load Forecasting: a study review. (2020) Energies (2020), 13, 6105; doi:10.3390/en13226105.
5. Khursheed Aurangzeb. Short term Power Load Forecasting using Learning Models for Energy management community. (2019) 978-1-5386-8125-1/19/$31.00 ©2019 IEEE.
6. Manish Kumar Singla, Parag Nijhawan, Joyti Gupta, Dr Amandeep Singh Oberoi. Electrical load Forecasting using Machine Learning. (2019) International Journal of Advanced Trends in Computer Science and Engineering, 8 (3), May-June 2019, 615–619,Volume 8, No.3, May-June 2019.
7. Abdelkarim El Khantach, Mohamed Hamlich and Nour eddinebelbounaguia. Short-term load forecasting using machine learning and periodicity decomposition. (2019) AIMS Energy, 7 (3): 382–394. DOI: 10.3934/energy.2019.3.382.
8. Noman Shabir, Roya Ahmadiahangar, Lauri Kutt, Argo Rosin. Comparison of Machine Learning based method for residential Load Forecasting. (2019) 978-1-7281-2650-0/19/$31.00 ©2019 IEEE.
9. Jason Runge and Radu Zmeureanu. Forecasting energy used in Building using Artificial Neural Network: A review. (2019) Energies 2019, 12, 3254; doi:10.3390/en12173254.
10. Tahreem Anwar, Bhaskar Sharma, Koushik Chakraborty and Himanshu Sirohia. Introduction to Load Forecasting. (2018) International Journal of Pure and Applied Mathematics Volume 119 No. 15 2018, 1527-1538 ISSN: 1314-3395.
11. David Scoot, Tom Simpson, Nikolaos Dervilis, Timothy Rogers, Keith Worden. Machine learning for energy load forecasting. (2018) IOP Conf. Series: Journal of Physics: Conf. Series 1106 (2018) 012005 doi :10.1088/1742-6596/1106/1/012005.
12. Hossein Sangrody, Ning Zhou, SalinTatun, Benyamin Khorramdel, Mahdi Motalleb, MortezaSarailoo. Long term forecasting using Machine learning methods. (2018).
13. Eliana Vivas, Hector Allende-Cid and Rodrigo Salas. A Systematic Review of Statistical and Machine Learning Methods for Electrical Power Forecasting with Report MAPE score. (2018) Entropy 2020, 22, 1412; doi:10.3390/e22121412.
14. B.yildiz, J.I.Bilbao, A.B. Sproul. A review and analysis of regression and machine learning models on commercial building electricity load forecasting. (2017) Renewable and Sustainable Energy Reviews 73 (2017) 1104–1122.
15. Senthil Kumar P. A review of soft computing Technique in Short-Term Load Forecasting. (2017) International Journal of Applied Engineering Research ISSN 0973-4562 Volume 12, Number 18 (2017) pp. 7202-7206.
16. A.S Khwaja, X. Zhang, A. Anpalagan, B.Venkatesh. Boosted neural networks for improvement short-term electric load forecasting. (2017) Research, 143,431-437.
17. N. Phuangpornpitak and W.Prommee. A study of load demand Forecasting Models in Electric Power system Operation and Planning. (2016) GMSARN International Journal 10 (2016) 19–24.
18. Priti Gohil, Monika Gupta. Short-term Load Forecasting using fuzzy logic. (2014) INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH ISSN: 2321-9939.
19. Samuel Felix Fux, ArazAshouri, Michael Janosch Benz, Lino Guzzella. Short-Term Thermal and electrical and load forecasting in building. (2013).
20. Amit JainmE. Srinivas, RasmimayeeRauta. Short term Load Forecasting using Fuzzy Adaptive Inference and Similarity. (2009) 978-1-4244-5612-3/09/$26.00 c 2009 IEEE.
21. Sachdeva, S., & Verma, C.M. (2008, October). Load forecasting using fuzzy methods. In Power System Technology and IEEE Power India Conference, 2008. POWERCON 2008. Joint International Conference on (pp. 1-4). IEEE.
22. H. J. Sadaei, P.C.D.L.E. Silva, F.G. Guimarães, and M. H. Lee, ‘‘Short-term load forecasting by using a combined method of convolutional neural networks and fuzzy time series,’’ Energy, vol. 175, pp. 365–377.
23. Turiel I, Boschen R, Seedall M, Levine M. Simplified energy analysis methodology for commercial buildings. Energy Build 1984;6:67–83. http://dx.doi.org/10.1016/0378- 7788(84)90008-2.
24. Katipamula S, Kissock JK, Claridge DE. The functional basis of steady-state tliermal energy use in air-side HVAC Equipment; 1995. p. 117.”

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DOI: https://doi.org/10.37628/IJMET.v7i1.90608

n[/if 1114]

[if 424 not_equal=”Regular Issue”] Regular Issue[/if 424] Open Access Article

International Journal of Microwave Engineering and Technology

ISSN: 2455-0337

Journal Menu

Instructions for Authors

Article Processing Charges

Editors Overview

ijmet maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.

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Balarihun Mawtyllup, Bikramjit Goswami

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,Assam Don Bosco University Airport Road, Assam Don Bosco University Airport Road,Azara, Guwahati, Azara, Guwahati,India, India

n[/if 1175][/foreach]

Abstract

nThe electrical load forecasting has become one of the most important fields of research for secured, efficient, accurate, reliable power dispatch and management. The main aim of load demand forecasting is to predict the load demand for accurate generation scheduling, system security and economic dispatch of load at any time. Many Authors have done research on the evaluation of load forecasting methods, to improve the accuracy of prediction. In load forecasting, it is essential to cover all time zones from short term to long term, to have a better management of the power system. It is challenging to have an accuracy result with less input data. Machine learning methods have obtained more attention as dealing with randomness in load arrangement is the need. This paper presents the review of several machine learning methods used for load forecasting, viz., SVM, Regression, ANN, Fuzzy logic etc. and to evaluate performance of different methods using electricity consumption dataset, compare between different methods as well as in analyzing calculation complexities of parameters such as-MAPE, RMSE etc.n

Keywords: Load forecasting, Machine Learning, ANN, Regression, RMSE.

n[if 424 equals=”Regular Issue”][This article belongs to International Journal of Microwave Engineering and Technology(ijmet)]

n[/if 424][if 424 equals=”Special Issue”][This article belongs to Special Issue under section in International Journal of Microwave Engineering and Technology(ijmet)] [/if 424]

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https://storage.googleapis.com/journals-stmjournals-com-wp-media-to-gcp-offload/2023/01/5feb43f0-use-of-machine-learning-algorithms.pdf

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DOI: https://doi.org/10.37628/IJMET.v7i1.90608

n[/if 1114]”},{“box”:2,”content”:”

Regular Issue Open Access Article

International Journal of Microwave Engineering and Technology

[if 344 not_equal=””]ISSN: 2455-0337[/if 344]

Volume	7
Issue	1
Received	November 16, 2021
Accepted	December 11, 2021
Published	December 14, 2021

Editor

Reviewer

n n

n”},{“box”:6,”content”:”“}]

An Investigation on Performance Analysis of PV Inverters with Modified MPPT Technique and LUO Converter

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Home

ijmet

Article

By [foreach 286]u00a0

u00a0Nagarajan D., Umar Muktar S.,

[/foreach]
nJanuary 9, 2023 at 6:01 am

nAbstract

A rapid growth in technology has increased the demand for power. Hence to overcome the upgrowing power demand, solar energy system comes into existence. But, the power acquired from PV is very low. Hence to satisfy the desires of high voltage applications, many traditional DC/DC converters are originated. In this proposed work, ahigh gain Luo converter is employed to increase the voltage level of the PV system.

Volume :u00a0u00a07 | Issue :u00a0u00a02 | Received :u00a0u00a0December 30, 2021 | Accepted :u00a0u00a0February 2, 2022 | Published :u00a0u00a0February 6, 2022n[if 424 equals=”Regular Issue”][This article belongs to International Journal of Microwave Engineering and Technology(ijmet)] [/if 424][if 424 equals=”Special Issue”][This article belongs to Special Issue An Investigation on Performance Analysis of PV Inverters with Modified MPPT Technique and LUO Converter under section in International Journal of Microwave Engineering and Technology(ijmet)] [/if 424]
Keywords : PV system, Luo converter, voltage source inverter (VSI), SPWM, SVPWM, PI controller

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1. Seddik, M, Zouggar, S, Ouchbel, T, Oukili, M, Rabhi, A, Aziz, A and Elhafyani, ML 2010, ‘A stand-alone system energy hybrid combining the wind and photovoltaic with voltage control (loop feedback voltage). International Renewable Energy Congress, Tunisia, pp. 227–232.
2. Salas, V, Olias, E, Barrado, A and Lazaro, A 2006, ‘Review of the maximum power point tracking algorithms for stand-alone photovoltaic systems’, Solar Energy Mat Sol C, vol. 90, no. 11, pp.1555–78.
3. Esram, T and Chapman, PL 2007, ‘Comparison of photovoltaic array maximum power point tracking techniques’, IEEE T Energy Converter, vol. 22, no. 2, pp. 439–49.
4. Zegaoui, A, Aillerie, M, Petit, P, Sawicki, JP, Jaafar, A, Salame, C and Charles, JP 2011, ‘Comparison of two common maximum power point trackers by simulating of PV generators’, Energy Procedia, vol. 6, pp. 678–87.
5. Bhatnagar, P and Nema, RK 2013, ‘Maximum power point tracking control techniques: State-of-the-art in photovoltaic applications’, Renew Sust Energy Rev, vol. 23, pp. 224–41.
6. Rekioua, D, Achour, AY and Rekioua, T 2013, ‘Tracking power photovoltaic system with sliding mode control strategy’, Energy Procedia, vol. 36, pp. 219–30.
7. Mirbagheri, SZ, Mekhilef, S and Mirhassani, SM 2013, ‘MPPT with Inc. Cond method using conventional interleaved boost converter’, Energy Procedia, vol. 42, pp. 24–32.
8. Kulaksız, AA 2001, ‘The control of electrical energy (with power electronic systems) which is obtained from photovoltaic module’, MSc dissertation, Selcuk University, Fen Bilimleri Enstitusu, Konya, Turkey.
9. Hohm, DP and Ropp, ME 2002, ‘Comparative Study of Maximum Power Point Tracking Algorithms’, Progress in Photovoltaic Research and Applications, vol. 11, pp. 47–62.
10. Xiao, W 1991, ‘A modified adaptive hill climbing MPPT method for photovoltaic power Systems’,Master’s thesis, Shenyang Polytechnic University, Vancouver, Canada.
11. F. J. Vorster and E. E. Van Dyk, “Current-voltage characteristics of high-concentration, photovoltaic arrays,” Progress in Photovoltaics: Research and Applications, vol. 13, no. 1, pp. 55–66.
12. Enrique, JM, Andujar, JM and Bohorquez, MA 2009, ‘A reliable, fast, and low-cost maximum power point tracker for photovoltaic applications’, Solar Energy, vol. 84, pp. 79–89.
13. Salas, V, Olias, E, Barrado, A and Lazaro, A 2006, ‘Review of the maximum power point tracking algorithms for stand-alone photovoltaic systems’, Solar Energy Materials and Solar Cells 90, pp.1555–1578.
14. Babu, T. Sudhakar, K. Sangeetha, and N. Rajasekar. “”Voltage band based improved particle swarm optimization technique for maximum power point tracking in solar photovoltaic system.”” Journal of Renewable and Sustainable Energy 8.1 (2016): 013106.
15. Luo, FL and Ye, H 2004, ‘Advanced DC/DC converters’, New York, Washington DC, USA, CRC Press.
16. Vural, A. M. (2016). PSCAD modelling of a two-level space vector pulse width modulation algorithm for power electronics education. Journal of Electrical Systems and Information Technology, 3(2), 333–347.
17. Wanchai, S. (2016). A Comparative Study of Sinusoidal PWM and Third Harmonic Injected PWM Reference Signal on Five Level Diode Clamp Inverter. Energy Procedia, 89,Pp 137–148.
18. Guoqiang, C., Jianli, K., and Junwei, Z. (2013). Numeric analysis and simulation of space vector pulse width modulation. Advances in Engineering Software, Pp, 60–65.
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DOI: https://doi.org/10.37628/IJMET.v7i2.90471

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[if 424 not_equal=”Regular Issue”] Regular Issue[/if 424] Open Access Article

International Journal of Microwave Engineering and Technology

ISSN: 2455-0337

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ijmet maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.

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Nagarajan D., Umar Muktar S.

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Assistant Professor, Assistant Professor,Department of Electrical and Electronics Engineering, JCT College of Engineering and Technology, Pichanur, Department of Electrical and Electronics Engineering, JCT College of Engineering and Technology, Pichanur,Tamil Nadu, Tamil Nadu,India, India

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Abstract

nA rapid growth in technology has increased the demand for power. Hence to overcome the upgrowing power demand, solar energy system comes into existence. But, the power acquired from PV is very low. Hence to satisfy the desires of high voltage applications, many traditional DC/DC converters are originated. In this proposed work, ahigh gain Luo converter is employed to increase the voltage level of the PV system.n

Keywords: : PV system, Luo converter, voltage source inverter (VSI), SPWM, SVPWM, PI controller

n[if 424 equals=”Regular Issue”][This article belongs to International Journal of Microwave Engineering and Technology(ijmet)]

n[/if 424][if 424 equals=”Special Issue”][This article belongs to Special Issue under section in International Journal of Microwave Engineering and Technology(ijmet)] [/if 424]

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Full Text

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Full Text

https://storage.googleapis.com/journals-stmjournals-com-wp-media-to-gcp-offload/2023/01/7842f3be-an-investigation-on-performance-analysis-of-pv-inverters-with-modified-mppt-technique-a.pdf

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References

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DOI: https://doi.org/10.37628/IJMET.v7i2.90471

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Regular Issue Open Access Article

International Journal of Microwave Engineering and Technology

[if 344 not_equal=””]ISSN: 2455-0337[/if 344]

Volume	7
Issue	2
Received	December 30, 2021
Accepted	February 2, 2022
Published	February 6, 2022

Editor

Reviewer

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