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Analysis of recoverable and permanent components of threshold voltage shift in NBT stressed p-channel power VDMOSFET

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Chinese Physics B 2015年第10期24卷 386-394页

作者： Danijel Dankovi ninoslav stojadinovi Zoran Priji Ivica Mani Vojkan Davidovi Aneta Priji Snezana Djoric-Veljkovi Snezana Golubovi Department of Microelectronics Faculty of Electronic EngineeringUniversity of Nis Department of Mathematics Physics and InformaticsFaculty of Civil Engineering and ArchitectureUniversity of Nis

In this study we investigate the dynamic recovery effects in IRF9520 commercial p-channel power vertical double diffused metal-oxide semiconductor field-effect transistors（VDMOSFETs） subjected to negative bias temperature（NBT）stressing under the particular pulsed bias. Particular values of the pulsed stress voltage frequency and duty cycle are chosen in order to analyze the recoverable and permanent components of stress-induced threshold voltage shift in detail. The results are discussed in terms of the mechanisms responsible for buildup of oxide charge and interface traps. The partial recovery during the low level of pulsed gate voltage is ascribed to the removal of recoverable component of degradation, i.e., to passivation/neutralization of shallow oxide traps that are not transformed into the deeper traps（permanent component）.Considering the value of characteristic time constant associated with complete removal of the recoverable component of degradation, it is shown that by selecting an appropriate combination of the frequency and duty cycle, the threshold voltage shifts induced under the pulsed negative bias temperature stress conditions can be significantly reduced, which may be utilized for improving the device lifetime in real application circuits.

关键词： negative bias temperature instability vertical double-diffused metal-oxide semiconductor recov- erable permanent degradation

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Blockchain-based prosumer incentivization for peak mitigation through temporal aggregation and contextual clustering

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Blockchain(Research and Applications) 2021年第2期2卷 82-96页

作者： Nikita Karandikar Rockey Abhishek Nishant Saurabh Zhiming Zhao Alexander Lercher ninoslav Marina Radu Prodan Chunming Rong Antorweep Chakravorty Department of Electrical Engineering and Computer Science University of StavangerStavanger86004036Norway Department of Energy and Petroleum Engineering University of StavangerStavanger86004036Norway Institute of Information Technology University of KlagenfurtKlagenfurt am Worthersee9020Austria Multiscale Networked Systems University of AmsterdamAmsterdam 1012 WXNetherlands University of Information Science and Technology OhridNorth Macedonia

Peak mitigation is of interest to power companies as peak periods may require the operator to over provision supply in order to meet the peak *** the usage curve can result in cost savings,both for the power companies and the end *** of renewable energy into the energy infrastructure presents an opportunity to use excess renewable generation to supplement supply and alleviate *** addition,demand side management can shift the usage from peak to off-peak times and reduce the magnitude of *** this work,we present a data driven approach for incentive-based peak *** user energy profiles is an essential step in this *** begin by analysing a popular energy research dataset published by the Ausgrid *** aggregated user energy behavior in temporal contexts and semantic linking and contextual clustering give us insight into consumption and rooftop solar generation *** implement,and performance test a blockchain-based prosumer incentivization *** smart contract logic is based on our analysis of the Ausgrid *** implementation is capable of supporting 792,540 customers with a reasonably low infrastructure footprint.

关键词： Peak shaving Aggregation analysis Contextual clustering Blockchain Incentivization

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