Power and Energy
This dataset is in support of my 2 research papers - 'Short Circuit Analysis of 72Ah Li-Ion BMC - Part I' and 'Short Circuit Analysis of 72Ah Li-Ion BMC - Part II'.
Faults and datasets can be copied to submit in fire cause investigation reports or thesis.
This dataset is a collection of data of battery and BMC faults.
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This folder contains two csv files and one .py file. One csv file contains NIST canopy PV plant data imported from https://pvdata.nist.gov/. This csv file has 1041 days raw data consisting PV plant POA irradiance, ambient temperature, Inverter DC current, DC voltage, AC current and AC voltage. Second csv file contains user created data. The Python file imports two csv files. The Python program executes four proposed corrupt data detection methods to detect corrupt data in NIST canopy PV plant data.
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We investigated the turn-off waveforms of Superjunction (SJ) silicon MOSFETs with respect to their own charge imbalance by experiments as well as by device simulations.
When SJ-MOSFETs are used for chopper circuits we find a unique hump in the current waveform during the turn-off transient. The magnitude of the hump shape waveform drastically depends on the charge imbalance (CIB) in the SJ structure.
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superjunction mosfets turn-off switching waveforms
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This dataset is used to design patent. The system is basic , as can be seen from figure.
As the boost converter, BMS is on existing designs.It is very simple for any graduate,degree holder or school students, so no paper is written for it.
There is related dataset-Data: Fifteen 255W Panels Connected Li-Ion
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Dynamic data for frequency control with continuous UFLS and LCFB1
This dataset is supplementary material to the draft 'Continuous Under-Frequency Load Shedding Scheme for Power System Adaptive Frequency Control' submitted to IEEE Transactions on Power Systems. Authors of the draft are: Changgang Li, Member, IEEE, Yue Wu, Yanli Sun, Hengxu Zhang, Member, IEEE, Yutian Liu, Senior Member, IEEE, Yilu Liu, Fellow, IEEE, and Vladimir Terzija, Fellow, IEEE
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Test systems are important tools and benchmark for power system research. Currently, there is a lack of standard test systems for modern transmission expansion planning (TEP) research, especially under high variable renewable energy (VRE) penetrations. This paper describes a 38-bus test system named the HRP-38 system dedicated to TEP. “HRP” stands for high renewable penetration. The objective of establishing such a system is to provide a consistent platform for different TEP methods to be tested and compared.
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This dataset contains data used for case studies in paper titled “Towards Flexible Risk-Limiting Operation of Multi-Terminal HVDC Grids with Vast Wind Generation” submitted to IEEE Transactions on Sustainable Energy.
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