Download Meter Data to Metrics: A Smart Grid Application Keaton Andersen

Survey
yes no Was this document useful for you?
   Thank you for your participation!

* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project

Document related concepts

Decibel wikipedia , lookup

Index of electronics articles wikipedia , lookup

Radio transmitter design wikipedia , lookup

PS Audio wikipedia , lookup

Rectiverter wikipedia , lookup

Immunity-aware programming wikipedia , lookup

Audio power wikipedia , lookup

Power electronics wikipedia , lookup

UniPro protocol stack wikipedia , lookup

Switched-mode power supply wikipedia , lookup

Captain Power and the Soldiers of the Future wikipedia , lookup

Transcript
What is Power Quality?
Main Objective:
The Process:
Power quality is the assessment of how faithful voltage or current
waveforms are to a pure 60 Hz sinusoid.
Create an easily understood control panel (below) to analyze power
quality data gathered from a smart meter.
Take data collected from a meter, extract the waveform data from it,
and analyze that data for power quality compliance.
Information is gathered from a
meter capable of capturing high
resolution waveform data and
can be exported to a computer.
Smart Meter
XSF
files
http://www.vias.org/crowhurstba/img/crowhurst_basic_audio_vol2-134.gif
ProVisionโ„ข
http://electronicdesign.com/site-files/electronicdesign.com/files/archive/electronicdesign.com/files/29/17808/fh%20fig%202.jpg
http://www.vias.org/crowhurstba/img/crowhurst_basic_audio_vol2-134.gif
PQDIF
Power Quality Metrics Explored:
Power Quality
Metric
Asymmetry
Factor
Total Harmonic
Distortion
CBEMA
Associated Equation
|%๐‘‰๐‘š๐‘Ž๐‘ฅ|
=1
|%๐‘‰๐‘š๐‘–๐‘›|
๐‘‡๐ป๐ท =
โ„Ž ๐‘š๐‘Ž๐‘ฅ 2
โ„Ž=2 ๐‘‰โ„Ž
๐‘‰1
[%]
V3.142*T=12455
The file-type must then be
manipulated to be readable
by other programs.
The power quality metrics
Brief Description
that are focused on in this
project are on the left, as well A fully operational control panel to monitor power quality metrics and
Test for uneven sine
waves; Difference
events is shown above. The design is complete with alarms to indicate
between positive and as how each is calculated and
negative peaks
a description of their physical if the given signalโ€™s power quality metrics are within industry standard.
Ratio of all harmonics measures.
The CBEMA curve is one of the more notable
compared to the
The adherence to each of
fundamental
metrics this project tested for, both in terms of
frequency
these according to their IEEE
meaning to the end user and in challenge to
standards is important to
Metric outlining the
program. CBEMA compliance ensures short
maximum duration a ensure the proper function of
voltage swell or sag
term and long term voltage quality and
may occur
equipment connected to the
ultimately it offers the end user with power
grid.
they can utilize 24/7/365.
Asymmetry Factor
PQDiffractor then is able to
extract and export just the raw
waveform data, that is then
readable by Labviewโ„ข.
PQDiffractor
Excel
Labviewโ„ข
Data
Analysis
Front Panel
From here, we are able to take data in to Labviewโ„ข
and start parsing it to compute various metrics for
power quality. The end goal of the project is to then
present these metrics in an easy to understand
manner through a front panel, complete with
alarms for each.
CBEMA Compliance
Signal Input
Total Harmonic Distortion