The Research of Novel High Voltage Electric Energy Measurement Apparatus Based on Three-Phase Four-Wire Virtual-Ground Theory

2013 ◽  
Vol 341-342 ◽  
pp. 1245-1249 ◽  
Author(s):  
Zhi Shou Zheng ◽  
Li Xin Wang ◽  
Xi Wu Chen ◽  
Wen Dong Deng ◽  
Jia Hai Zhang ◽  
...  

A novel apparatus is introduced in this paper used to measure high voltage electric energy based on three-phase four-wire virtual-ground theory. The virtual-ground design, Faraday shielding technique and Warner DC (Direct Current) self-supply method are integrated in this apparatus based on new I/V, V/V techniques to realize high accuracy, reliability and wide-linear range measuring. The effectiveness of the apparatus has been proved by in-house calibration and on-site test . The test result shows that it can be used in high voltage grid on-site calibration . Its measurement uncertainty can be limited to 0.1% under the condition of PF=1.0~0.8, and can reach 0.15% as PF=0.5. In summary, the apparatus discussed in this paper can be applied as high voltage electric energy measurement instrument to meet the requirement of online metrological verification and calibration. Furthermore, it is very useful for building the system of Advanced Metering Infrastructure (AMI) in smart grid.

Author(s):  
N. Lalitha Rani and S. Ramyaka

Generally, the power generating from the Fuel cell is an electrochemical reaction between H2 and oxygen and it generates electric energy, and the by-product is water vapour. However, the output from the fuel cell systemsis very low, then it becomes necessary to connect more number of cells in series to improve the output. The proposed method electrically divides the fuel cell stack into different sections, and each stack is powered by a direct boost inverter. This paper proposes a concept of high voltage dc-dc boost converter topology for a three phase systemto a typical output voltage from the fuel cell as a stand-alone supply. The main advantage of the proposed boost inverter method include ability to deliver the operations of both boosting and inversion of the power in only one stage, compactness, and economical. The output voltage from the fuel cell is a voltage controlled method and output from the battery is a current controlled method. Analysis, and Simulation are taken from a 1kW prototype.


2018 ◽  
Vol 28 (104) ◽  
pp. 56-70
Author(s):  
V. P. Berzan, ◽  
◽  
Yu. V. Ermurachi, ◽  
V. M. Postolaty
Keyword(s):  

2020 ◽  
Vol 9 (9) ◽  
pp. 11-19
Author(s):  
Yury L. BUYANOV ◽  
◽  
Vladimir V. ZHELTOV ◽  
Sergey I. KOPYLOV ◽  
Andrey Yu. ARKHANGEL’SKIY ◽  
...  

Smart Cities ◽  
2021 ◽  
Vol 4 (1) ◽  
pp. 195-203
Author(s):  
Eric Garrison ◽  
Joshua New

While urban-scale building energy modeling is becoming increasingly common, it currently lacks standards, guidelines, or empirical validation against measured data. Empirical validation necessary to enable best practices is becoming increasingly tractable. The growing prevalence of advanced metering infrastructure has led to significant data regarding the energy consumption within individual buildings, but is something utilities and countries are still struggling to analyze and use wisely. In partnership with the Electric Power Board of Chattanooga, Tennessee, a crude OpenStudio/EnergyPlus model of over 178,000 buildings has been created and used to compare simulated energy against actual, 15-min, whole-building electrical consumption of each building. In this study, classifying building type is treated as a use case for quantifying performance associated with smart meter data. This article attempts to provide guidance for working with advanced metering infrastructure for buildings related to: quality control, pathological data classifications, statistical metrics on performance, a methodology for classifying building types, and assess accuracy. Advanced metering infrastructure was used to collect whole-building electricity consumption for 178,333 buildings, define equations for common data issues (missing values, zeros, and spiking), propose a new method for assigning building type, and empirically validate gaps between real buildings and existing prototypes using industry-standard accuracy metrics.


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