WITHDRAWN: Hysteretic controlled Inter-leaved buck –Converter based AC-DC Micro-grid system with enhanced response

Subramanian, Senthilkumar; Sankaralingam, Chandramohan; Dhiman, Gaurav; Singh, H. P.

doi:10.1016/j.matpr.2021.02.087

Cited by 4 publications

(4 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Figure 11 illustrates the voltage that is present across the TPI, and its value is 336 V. The value of the output voltage of the inverter when it is connected to R-load is shown in Figure 12 and is 280 V [15]. Figure 13 illustrates the output current of the inverter when it is connected to an R-load, and its value is 2.78 A.…”

Section: − Case 1: Open Loop Bc-tpi With Source Disturbancementioning

confidence: 99%

“…As a result, a quadratic boost converter is constructed as a combination of two boost converters with only one active switch in the form of a MOSFET, resulting in lower losses and higher efficiency. QBC's limitations include unstable voltage regulation and low saturation points [15].…”

Section: Introductionmentioning

confidence: 99%

“…In comparison to all other conventional DC-DC converters, KY converters have developed a superior converter. In terms of the power loss in the filter inductor, the power loss in the output capacitor, and the transient current over parasitic resistors, KY converters outperform boost converters [19]. KY converter is a non-isolated DC-DC boost converter that runs in continuous conduction mode and has a low output voltage ripple [20].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Sliding modecontrolled PV-based bootstrap converter system with enhanced response and voltage stability

Jyothi,

Varma,

Kishore

et al. 2023

IJPEDS

View full text Add to dashboard Cite

<p><span lang="EN-IN">In this paper, a straightforward method for locating the controller in a PV-based bootstrap converter system is presented. Recent developments in control strategies and power electronics have made it possible to create PV-based DC-to-AC converters for AC drives that are connected to 3-phase loads. High voltage gain is intended to be produced by the bootstrap converter (BSC). The BSC's purpose is to control load voltage. This study compares the time specification performance of the proportional resonant controller (PRC) and the sliding mode control (SMC) for photovoltaic systems with bootstrap three phase inverter (PV-BSTPI). For the delicate loads, steady voltage is typically more important. The BS-TPI system incorporates a closed loop control to fast achieve constant voltage. Choosing the best control approach is the aim. It is observed that the steady state error of SMC is 1.67 which is better when compared to PRC.</span></p>

show abstract

Section: − Case 1: Open Loop Bc-tpi With Source Disturbancementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Sliding modecontrolled PV-based bootstrap converter system with enhanced response and voltage stability

Jyothi,

Varma,

Kishore

et al. 2023

IJPEDS

View full text Add to dashboard Cite

show abstract

“…The reconfiguration in CR-IoT operates in a dynamic way based on the characteristics of CR-IoT, hence the deployment of the ML method is required to cooperate with the reconfiguration of CR-IoT and selection of better paths by sensing its environment [33][34][35][36][37][38][39][40][41]. It is essential for the present study to check the consistency of the ML method in acting as a prominent approach on analysing the entire characteristics of CR-IoTs.…”

Section: Introductionmentioning

confidence: 99%

An IoT and machine learning‐based routing protocol for reconfigurable engineering application

Natarajan¹,

Srihari

Chandragandhi³

et al. 2021

IET Communications

Self Cite

View full text Add to dashboard Cite

With new telecommunications engineering applications, the cognitive radio (CR) networkbased internet of things (IoT) resolves the bandwidth problem and spectrum problem. However, the CR-IoT routing method sometimes presents issues in terms of road finding, spectrum resource diversity and mobility. This study presents an upgradable cross-layer routing protocol based on CR-IoT to improve routing efficiency and optimize data transmission in a reconfigurable network. In this context, the system is developing a distributed controller which is designed with multiple activities, including load balancing, neighbourhood sensing and machine-learning path construction. The proposed approach is based on network traffic and load and various other network metrics including energy efficiency, network capacity and interference, on an average of 2 bps/Hz/W. The trials are carried out with conventional models, demonstrating the residual energy and resource scalability and robustness of the reconfigurable CR-IoT. INTRODUCTIONWireless networks reconfigurable (RWN) is mainly an adaptive network firmware developed to satisfy the demands of modern applications, changing network topologies and changing network conditions. In particular, the RWM can be reconfiguredThis is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

show abstract

Mobile Networks-on-Chip Mapping Algorithms for Optimization of Latency and Energy Consumption

Kumar

Sehgal

Vimal³

et al. 2021

Mobile Netw Appl

View full text Add to dashboard Cite

WITHDRAWN: Hysteretic controlled Inter-leaved buck –Converter based AC-DC Micro-grid system with enhanced response

Cited by 4 publications

References 21 publications

Sliding modecontrolled PV-based bootstrap converter system with enhanced response and voltage stability

Sliding modecontrolled PV-based bootstrap converter system with enhanced response and voltage stability

An IoT and machine learning‐based routing protocol for reconfigurable engineering application

Mobile Networks-on-Chip Mapping Algorithms for Optimization of Latency and Energy Consumption

Contact Info

Product

Resources

About