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23 results for “transmission lines”
Fig. 1 in A Case Study Of The Herb-Dwelling Spider Assemblages (Aranei) In A Meadow Under The Power Transmission Lines In Ukrainian Carpathians
Fig. 1. Number of individuals collected at the different distances from high voltage power line near Irliava village, August 2012 (SD — standard deviation).
Fig. 2 in A Case Study Of The Herb-Dwelling Spider Assemblages (Aranei) In A Meadow Under The Power Transmission Lines In Ukrainian Carpathians
Fig. 2. Total eudominants and dominants, recedents and subrecedents relative abundance, Shannon and Pielou indexes values at the different distances from high voltage power line near Irliava village (according to the two year samples).
◂Fig. 4 Gynoecium of C. crenata %yellow frames), C. cf. grandicalyx %blue frames) and C. sinensis %pink frames; A–R light microscopy; TS in horizontal orientation). A Secantial section. B, C TS %note cellular organisation). D Secantial section. E, F TS %note cellular organisation). G Secantial section of young gynoecium showing cellular organisation. H–J TS %note lacking cellular organisation, localisation in K–M). K–M LS at different levels from outside to inside of the same specimen %note strongly stained peripheral tissue; asterisks indicate tissue illustrated in H–J). N TS %note dehiscence lines of the prospective endocarp). O, P TS showing transmission tissue and dorsal bundles at top of style. Q vascularisation at base of gynoecium %note strongly stained peripheral tissue). R Vascularisation at base of flower %LS, longisection; TS, transverse section; db, dorsal bundle; dl, dehiscent line; ep, epidermis; lb, lateral bundle; tt, transmission tissue; ut, peripheral tissue; vb, ventral bundle; vs, ventral slit) in Observations on flower and fruit anatomy in dioecious species of Cordia (Cordiaceae, Boraginales) with evolutionary interpretations
◂Fig. 4 Gynoecium of C. crenata %yellow frames), C. cf. grandicalyx %blue frames) and C. sinensis %pink frames; A–R light microscopy; TS in horizontal orientation). A Secantial section. B, C TS %note cellular organisation). D Secantial section. E, F TS %note cellular organisation). G Secantial section of young gynoecium showing cellular organisation. H–J TS %note lacking cellular organisation, localisation in K–M). K–M LS at different levels from outside to inside of the same specimen %note strongly stained peripheral tissue; asterisks indicate tissue illustrated in H–J). N TS %note dehiscence lines of the prospective endocarp). O, P TS showing transmission tissue and dorsal bundles at top of style. Q vascularisation at base of gynoecium %note strongly stained peripheral tissue). R Vascularisation at base of flower %LS, longisection; TS, transverse section; db, dorsal bundle; dl, dehiscent line; ep, epidermis; lb, lateral bundle; tt, transmission tissue; ut, peripheral tissue; vb, ventral bundle; vs, ventral slit)
Western Florida Panhandle Electric Transmission Grid Substations, Lines, and Towers
<p>The upload consists of 5 different datasets pertaining to the electric transmission grid in the nine counties of the western Florida Panhandle. The area largely coincides with the former operation area of the Gulf Power Company (GPCO) but is not limited to this utility. The five datasets describe the substations, lines, and transmission towers of the grid. The data were created and validated through a variety of datasets from the utility, national data, and state-level information. In total, 195 substations, 1800 miles of transmission lines, and over 18,000 transmission towers were cataloged and described spatially in the data. The spatial files are uploaded as feature classes within a ArcGIS geodatabase. Three metadata files are provided, one each for substations, transmission lines, and transmission towers, which describe the process and sources for creating each data as well as a detailed list of all fields in the files.</p>
Measured scattering parameters for the coupling of stochastic electromagnetic fields to transmission line networks of single-wire lines above a ground plane in a reverberation chamber
<p>This data set contains the measuremed scattering parameters between two antennas and a transmission line network under test in a reverberation chamber. The purpose of this measurement was an experimental validation of a numerical simulation model for the stochastic field coupling to a transmission line network. For the experiment, an exemplary network consisting of three single-wire lines above a ground plane was created. Different configurations of the network were tested and the average squared magnitude of the coupled voltage at the terminals of the network was analyzed and discussed.</p>
Dataset: Determination of Broadband Complex EM Parameters of Powdered Materials Part A: MCMC-based Two-Port Transmission Line Measurements
<p>Data from Determination of Broadband Complex EM Parameters of Powdered Materials Part A: MCMC-based Two-Port Transmission Line Measurements.</p>
Data on planned eHV transmission lines in Germany
<p>Contains manually created lists of planned eHV AC and DC lines in Germany based on the Grid development plan 2021. The main source was the Grid development plan 2021, second draft by the German transmission system operators.</p> <p>In addition, a shapefile including lines that will be replaced by these lines is included.</p> <p>The data was created for the data processing tool <a href="https://github.com/openego/eGon-data">eGon-data </a>within the research project hybit. </p> <p>We thank the Federal Ministry of Education and Research (BMBF) for funding the project hybit (FKZ: 03SF0687A).</p>
Fault test cases for series compensated transmission line with capacitor at line terminal
<p>This data set contains time series data of different simulated fault cases in high voltage series compensated transmission lines. The simulation is done in PSCAD using the Python automation library. The capacitor is located at one of the line terminals with CT and VT. The modelled line is 500 kV and 200 km long. The simulation is run for 1 second with 10 kHz sampling rate. </p> <p>Each file contains 7 data in the following order, </p> <ol> <li>Time</li> <li>Voltage phase A</li> <li>Voltage phase B</li> <li>Voltage phase C</li> <li>Current phase A</li> <li>Current phase B</li> <li>Current phase C</li> </ol> <p>The variables used to study different test cases are shown below,</p> <ul> <li>Fault inception angle (phase A): 0 and 90 degree</li> <li>Source impedance ratio: 0.20 and 0.35</li> <li>Capacitor level: 94 µF(50%), 78 µF(60%), 67 µF(70%)</li> <li>Fault resistance: 0.10, 10, 20, 30 ohm</li> <li>Fault location: 10 km reverse, 10 km, 50 km, 100 km, 125 km, 150 km, 155 km, 160 km. 165 km, 170 km, 180 km, 190 km</li> <li>Fault type: No-fault, AG, BG, CG, ABG, CAG, BCG, ABCG, AB, CA, BC, ABC</li> </ul> <p>All these factors lead to 6912 test cases in total. The test cases are organized in four (4) zipped folders each containing 1728 test cases. The PSCAD model file and an example python script that can be used to automate the simulations are also included herewith for anyone interested to replicate the results. </p> <p>The name of the folder contains the information regarding fault inception angle and source impedance ratio for all test cases inside that folder, for example, the folder name <strong>Outputs_0_0.20 </strong>can be decoded as,</p> <p>0: Fault inception angle (phase A)<br> 0.20: Source impedance ration</p> <p>The files names inside the folders include information about the other variables used in generating the test case. For example, the name <strong>test_f_10_0_67_0.01 </strong>can be interpreted as,</p> <p>test_f: f for forward fault, r for reverse fault<br> 10: fault location, 10 km<br> 0: Fault type<br> 67: Compensation level<br> 0.01: Fault resistance</p> <p>Fault types are interpreted as in PSCAD.</p> <p>0 = No-Fault,<br> 1 = Phase A to Ground<br> 2 = Phase B to Ground<br> 3 = Phase C to Ground<br> 4 = Phase AB to Ground<br> 5 = Phase AC to Ground<br> 6 = Phase BC to Ground<br> 7 = Phase ABC to Ground<br> 8 = Phase AB<br> 9 = Phase AC<br> 10 = Phase BC<br> 11 = Phase ABC</p> <p>The different line parameters used in the PSCAD model is as below,</p> <p><strong>Conductor</strong></p> <p>Type: Chukar<br> Geometric mean radius: 20.345 mm<br> DC resistance: 0.0318Ω/km<br> Strands: 84<br> Strand radius: 1.8491 mm<br> Relative permeability: 1.0<br> Sag: 12 m<br> Height: 22 m<br> Sub-conductor: 2<br> Sub-conductor spacing: 0.4572 m<br> Ground wire number: 2<br> Radius: 5.5245 mm<br> DC resistance: 2.8645Ω/km<br> Relative permeability: 1.0<br> Sag: 10 m<br> Height: 10 m</p> <p><strong>Impedance</strong></p> <p>Positive sequence0.018 +j0.339 Ω/km<br> Zero sequence0.266 +j1.017 Ω/km</p> <p> </p> <p><strong>These simulations were run for assessing time-domain protections. Therefore, the parallel CB protection across the series capacitor is disabled, as one can safely assume even with the highest current levels, the CB will take at least 20 ms to operate. This is higher than the time limits for time-domain protection. </strong></p>
Data from: Transmission line data of different fault instances retrieved through Phasor Measurement Unit (PMU)
<p>This study presents a dataset comprising time series data pertaining to different electrical grid scenarios, encompassing both fault-free instances and occurrences of short circuits. The dataset was meticulously created by simulating various fault scenarios using the ePMU DSA tools and Matlab Simulink. To capture these scenarios, a Phasor Measurement Unit (PMU) was deployed on a transmission line simulation model. Given the impracticality and potential risks associated with generating actual faults in a real power grid, this approach of simulating faulty scenarios through advanced tools has proven to be a reliable and effective methodology in the field of electrical grid studies. The resulting dataset offers valuable insights into power grid behavior during both normal and faulted conditions, thereby serving as a valuable resource for researchers and practitioners in the domain of power systems and fault analysis.</p>
Signal growth in a pure time-modulated transmission line and the loss effect
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Data from: Transmission line data of different fault instances retrieved through Phasor Measurement Unit (PMU)
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A phononic crystal coupled to a transmission line via an artificial atom. Experimental data for the article figures
<p>We study a phononic crystal interacting with an articial atom - a superconducting quantum system - in the quantum regime. The phononic crystal is made of a long lattice of narrow metallic stripes on a quatz surface. The articial atom in turn interacts with a transmission line. Therefore, two degrees of freedom of different nature, acoustic and electromagnetic, are coupled with a single quantum object. A scattering spectrum of propagating electromagnetic waves on the articial atom visualizes acoustic modes of the phononic crystal. We simulate the system and found quasinormal modes of our phononic crystal and their properties. The calculations are consistent with the experimentally found modes, which are tted to the dispersion branches of the phononic crystal near the rst Brillouin zone edge. Our geometry allows to realize effects of quantum acoustics on a simple and compact phononic crystal.</p>
Fault test cases for series compensated transmission line with the capacitor at the middle of the line
<p><strong>Description</strong></p> <p>This data set contains time series data of different simulated fault cases in high voltage series compensated transmission lines. The simulation is done in PSCAD using the Python automation library. The capacitor is located in the middle of the line. The model of the line is given in the attached pdf file. The CT and VT are located at bus S. The distance are counted from bus S. The modelled line is 500 kV and 200 km long. The simulation is run for 1 second with 10 kHz sampling rate. </p> <p>Each file contains 10 data in the following order, </p> <p>Time<br> Voltage phase A<br> Voltage phase B<br> Voltage phase C<br> Current phase A<br> Current phase B<br> Current phase C<br> Voltage across capacitor phase A<br> Voltage across capacitor phase B<br> Voltage across capacitor phase C</p> <p>The variables used to study different test cases are shown below,</p> <p>Fault inception angle (referred to phase A voltage): 0 and 90 degree<br> Source impedance ratio: 0.20 and 0.35<br> Capacitor compensation level: 94 µF(50%), 78 µF(60%), 67 µF(70%)<br> Fault resistance: 0.10, 10, 20 ohm<br> Fault location: 10 km, 30 km, 50, 70 km, 90 km, 95 km, 105 km, 110 km, 130 km, 150 km, 160 km, 170 km, 180 km<br> Fault type: No-fault, AG, BG, CG, ABG, CAG, BCG, ABCG, AB, CA, BC, ABC</p> <p>All these factors lead to 5616 test cases in total. The test cases are organized in four (4) zipped folders each containing 1404 test cases. The PSCAD model file and an example python script that can be used to automate the simulations are also included herewith for anyone interested to replicate the results. </p> <p> </p> <p>The name of the folders contains the information regarding fault inception angle and source impedance ratio for all test cases inside that folder, for example, the folder name <strong>Outputs_0_0.20</strong> can be decoded as,</p> <p>0: Fault inception angle (phase A)<br> 0.20: Source impedance ration</p> <p>The files names inside the folders include information about the other variables used in generating the test case. For example, the name<strong> test_f_10_0_67_0.01</strong> can be interpreted as,</p> <p>test_f: f for forward fault<br> 10: fault location, 10 km<br> 0: Fault type<br> 67: Compensation level<br> 0.01: Fault resistance</p> <p>Fault types are interpreted as in PSCAD.</p> <p>0 = No-Fault,<br> 1 = Phase A to Ground<br> 2 = Phase B to Ground<br> 3 = Phase C to Ground<br> 4 = Phase AB to Ground<br> 5 = Phase AC to Ground<br> 6 = Phase BC to Ground<br> 7 = Phase ABC to Ground<br> 8 = Phase AB<br> 9 = Phase AC<br> 10 = Phase BC<br> 11 = Phase ABC</p> <p>The different line parameters used in the PSCAD model is as below,</p> <p><strong>Conductor</strong></p> <p>Type: Chukar<br> Geometric mean radius: 20.345 mm<br> DC resistance: 0.0318Ω/km<br> Strands: 84<br> Strand radius: 1.8491 mm<br> Relative permeability: 1.0<br> Sag: 12 m<br> Height: 22 m<br> Sub-conductor: 2<br> Sub-conductor spacing: 0.4572 m<br> Ground wire number: 2<br> Radius: 5.5245 mm<br> DC resistance: 2.8645Ω/km<br> Relative permeability: 1.0<br> Sag: 10 m<br> Height: 10 m</p> <p><strong>Impedance</strong></p> <p>Positive sequence 0.018 +j0.339 Ω/km<br> Zero sequence 0.266 +j1.017 Ω/km</p> <p> </p> <p><strong>These simulations were run for assessing time-domain protections. Therefore, the parallel CB protection across the series capacitor is disabled, as one can safely assume even with the highest current levels, the CB will take at least 20 ms to operate. This is higher than the time limits for time-domain protection. </strong></p>
A Novel Equivalent Transmission-Line Model for Efficient Analysis of Huygens Source Antennas Embedded inside Low-Loss Multilayer EBG Superstrates for Directivity Enhancement
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Enhanced Hood PPE to Minimize COVID-19 Transmission to Front-line Health Care Workers
ClinicalTrials.gov study NCT04373096. IPD Sharing: NO. Countries: 1. Publications: 1.
Data from: Free vibration analysis of transmission lines based on the dynamic stiffness method
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A phononic crystal coupled to a transmission line via an artificial atom. Experimental data for the article figures
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Data from: Wake-induced oscillation behavior of twin bundle conductor transmission lines
A numerical method to simulate air flow around a bundle conductor line by means of FLUENT software is presented and verified by a wind tunnel test for aerodynamic characteristics of a twin bundle conductor line. The lift and drag coefficients of the leeward sub-conductor of a twin bundle conductor varying with its relative position in the wake zone to the windward one under different wind velocities are numerically determined by the presented method. A user-defined subroutine of ABAQUS software is developed to apply the aerodynamic loads on each sub-conductor and the electromagnetic force between sub-conductors. The numerical simulation method for wake-induced oscillation of a bundle conductor line is proposed. By means of the numerical method, wake-induced oscillation processes of twin bundle conductor transmission lines under different parameters, including current intensity, spacer layout, span length and wind velocity, are numerically simulated. Moreover, the effects of those parameters on the oscillation characteristics of the lines, such as vibration mode, frequency, amplitude and motion trace, are discussed. The obtained results provide a fundamental for the understanding of wake-induced oscillation behavior of twin bundle conductor transmission lines and the development of control technique for wake-induced oscillation.
Data from: Tracing the rise of malignant cell lines: distribution, epidemiology and evolutionary interactions of two transmissible cancers in Tasmanian devils
Emerging infectious diseases are rising globally and understanding host-pathogen interactions during the initial stages of disease emergence is essential for assessing potential evolutionary dynamics and designing novel management strategies. Tasmanian devils (Sarcophilus harrisii) are endangered due to a transmissible cancer – devil facial tumour disease (DFTD) – that since its emergence in the 1990's, has affected most populations throughout Tasmania. Recent studies suggest that devils are adapting to the DFTD epidemic and that disease-induced extinction is unlikely. However, in 2014 a second and independently evolved transmissible cancer – devil facial tumour 2 (DFT2) – was discovered at the d'Entrecasteaux peninsula, in southeast Tasmania, suggesting that the species is prone to transmissible cancers. To date, there is little information about the distribution, epidemiology and effects of DFT2 and its interaction with DFTD. Here we use data from monitoring surveys and road-kills found within and adjacent to the d'Entrecasteaux peninsula to determine the distribution of both cancers and to compare their epidemiological patterns. Since 2012, a total of 51 DFTD tumours have been confirmed among 26 individuals inside the peninsula and its surroundings, while 40 DFT2 tumours have been confirmed among 23 individuals, and two individuals co-infected with both tumours . All devils with DFT2 were found within the d'Entrecasteaux peninsula, suggesting that this new transmissible cancer is geographically confined to this area. We found significant differences in tumour bodily location in DFTD and DFT2, with non-facial tumours more commonly found in DFT2. There was a significant sex bias in DFT2, with most cases reported in males, suggesting that since DFT2 originated from a male host, females might be less susceptible to this cancer. We discuss the implications of our results for understanding the epidemiological and evolutionary interactions of these two contemporary transmissible cancers and evaluating the effectiveness of potential management strategies.
Transmission line model of the lossless T-shaped power di- vider.
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