Review on Reliability of Power Electronic Components in Photovoltaic Inverters

2019 ◽  
Author(s):  
Mohd. Shahzad ◽  
K V S Bharath. ◽  
Mohammed Ali Khan ◽  
Ahteshamul Haque
Keyword(s):  
Power Electronic ◽  
Electronic Components

scholarly journals A Modified Modular Multilevel Converter with Reduced Number of Power Electronic Components

2015 ◽  
Vol 38 (1) ◽  
pp. 1-8
Author(s):  
I.A. Harbi ◽  
Haitham Z. Azazi ◽  
Azza E. Lashine ◽  
Awad. Elsabbe
Keyword(s):  
Modular Multilevel Converter ◽  
Power Electronic ◽  
Multilevel Converter ◽  
Electronic Components

scholarly journals Comparison between PI, PR+HC, and modified PR+HC current controller in inverter system

2019 ◽  
Vol 13 (3) ◽  
pp. 1167
Author(s):  
S. Salimin ◽  
M. Armstrong ◽  
S.A. Jumaat ◽  
R. Hamdan
Keyword(s):  
Power Electronic ◽  
Power Network ◽  
Compensation Scheme ◽  
Electronic Components ◽  
Harmonic Compensation ◽  
Proportional Integral ◽  
Current Controller ◽  
System Power ◽  
Study Development

<span>This paper presents the comparison between proportional integral (PI) current controller, proportional resonance and harmonic compensator (PR+HC) current controller and modified PR+HC current controller in the inverter system. Power electronic components like inverter and current controller uses in the system produce unwanted harmonics that affect the quality of distribution power network. In this study, development and simulation of current controller using conventional proportional integral (PI), the selective harmonic compensation scheme (PR+HC), and modified version of the latter are considered so to overcome these harmonics injection. Modification is by adding control parameter randomisation technique to the PR+HC scheme. Results compare the three controllers and proved that with modification to the selective harmonic compensation scheme, the overall current THD can be reduced</span>

Reliability Evaluation of Mid-Voltage DC Distribution Network with Multiple Topologies

2014 ◽  
Vol 666 ◽  
pp. 112-118 ◽  
Author(s):  
Jia Si Zeng ◽  
Yi Bo Gao ◽  
Feng Yang ◽  
Xi Dong Xu ◽  
Peng Qiu ◽  
...  
Keyword(s):  
Power Electronics ◽  
Sequential Monte Carlo ◽  
Reactive Power ◽  
Transmission Loss ◽  
Distribution Network ◽  
Reliability Evaluation ◽  
Power Electronic ◽  
Electronic Components ◽  
Reliability Models ◽  
Dc Distribution

With the development of power electronics, DC distribution network has advantages in power supplying for DC loads, saving transmission loss of reactive power and improving power quality, when compared with traditional AC distribution network. Since DC distribution network has several multiple topologies, lots of power electronic components and DGs, the traditional reliability evaluation methods aren’t applicable any more. Hence, the reliability models of power electronics and DGs are built in this paper, and a hybrid method combining minimum-cut with non-sequential Monte Carlo is presented. Moreover, three topologies of mid-voltage DC distribution network are designed based on IEEE RBTS bus6, by which the feasibility of the method is validated. Results show that two-terminal network is more reliable than radial and looped network.

scholarly journals PV Fed Asymmetrical Switched Diode Multi Level Inverter With Minimum Number of Power Electronic Components

2017 ◽  
Vol 117 ◽  
pp. 592-599
Author(s):  
M. Arun Noyal Doss ◽  
R. Naveenkumar ◽  
R. Ravichandran ◽  
J. Rengaraj ◽  
M. Manikandan
Keyword(s):  
Power Electronic ◽  
Electronic Components ◽  
Minimum Number ◽  
Multi Level

scholarly journals Investigation of reliability assessement in power electronics circuits using machine learning

2021 ◽  
Vol 12 (1) ◽  
pp. 558
Author(s):  
Soumya Rani Mestha ◽  
Pinto Pius A.J
Keyword(s):  
Machine Learning ◽  
Power Electronics ◽  
New Technologies ◽  
Remaining Useful Life ◽  
Power Electronic ◽  
Electronic Components ◽  
Recent Advances ◽  
Useful Life ◽  
Comprehensive Study

<p>Recent advances in power electronics (PE) and machine learning (ML) have prompted the technologists to adapt these new technologies to improve the reliability of PE systems. During the process, a lot of investigations on the performance and reliability of PE systems is carried out. The intention of this paper is to present a comprehensive study of advances in the field of reliability of PE systems using machine learning. Recent publications in this regard are analysed and findings are tabulated. In addition to this, literatures published in the prediction of remaining useful life (RUL) of power electronic components is discussed with emphasis on its limitations.</p>

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