hit isg fault diagnostics in smart grid
DESCRIPTION
HIT ISG Fault Diagnostics in Smart Grid. The researchers. Faults. Faults. Power quality. Transient faults. Symmetrical faults. Unsymmetrical faults. Persistent and temporary faults. The Research Subjects. - PowerPoint PPT PresentationTRANSCRIPT
The researchers
יובל בק-חולון•גדי גולן-חולון•
נצח קלמרו-ת"א, חולון•לירן קציר- ת"א, חולון•אביב זילברמינץ- חולון•
צוות היגוי
רומן אברמזון- חולון•אביב זילברמינץ-חולון•
ראשל מסילתי-ת"א•שרון הדרי-ת"א•יאיר ארבוב-ת"א•
מלי עטר–ת"א•
CPC DSP
ליאת דביטשווילי-"ת"א•טל לחיאני-ת"א•רם מחלב- ת"א•אבי שטיימן-ת"א•
אסף ממן- ת"א•תומר חבושה-ת"א•
Pattern recognition
אלכס זסלניוב- חולון•רמי טבק- ת"א•
תמיר פרוכט- ת"א•
Fault Location
בוריס אקסלרוד- חולון•יפים ברקוביץ'- חולון•
Faults and feature generation
Faults
Faults
Power quality Transient faults
Symmetrical faults
Unsymmetrical faults
Persistent and temporary faults
The Research Subjects
• Fault Diagnostics- The ability to determine the direction of the fault and the characteristics of the fault.
• Fault Location- Based on spectral analysis of the measured impedances and wave propagation in distributed systems.
This is the simple world
Lets enter the world of abnormalities
Real waves
-20 -10 0 10 20 30 40-1.5
-1
-0.5
0
0.5
1
1.5
time
I1(t)
site 1: current phase 1 20/10/2012 05:32:00,60
-20 -10 0 10 20 30 40-200
-150
-100
-50
0
50
100
150
200
time
V3(
t)
Site1 Voltage Phase 320/10/2012 05:32:00,60
Another puzzle
1 20 39 58 77 96 115134153172 191210229 248267 286305324343 362381
-5
-4
-3
-2
-1
0
1
2
3
4
5
phase 1phase2phase3
1 21 41 61 81 101121141161181201221241261281301321341361381
-200
-150
-100
-50
0
50
100
150
200
phase1phase2phase3
And another one
-20 -12.19559-4.39119 3.41322 11.2176319.0220326.82644 34.63084
-200
-150
-100
-50
0
50
100
150
200
250
phase 1
phase 2
phase 3
-20 -13.28821-6.57642 0.13537 6.84716 13.5589520.27074 26.9825333.69432
-3
-2
-1
0
1
2
3
A few more
What do we do?
First of all make sense
Make sense
CPC the fingerprint of abnormities
Basic IdeaAs in finger prints authentication- components separation, produces a high level verified signature.The separation of the currents and voltages to spectral components and in separated dimensions will enable a better fault authentication. The research1. Is it possible to separate to more components
than the theory? (we go to 7 while the theory reports 5).
2. To what extent does the proposed algorithm enhances the verification of the fault?
Based on what?
• Use computation capabilities of smart grid devices:• Power quality monitors.• Network recorders • Existing and future technologies
What do we get?
Fault diagnostics
Fault recognition
Fault prediction
Decision making
System identification
Fault location improvement
HIT Simulator
Spectral decomposition
Transient analysis
Propagation and reverse analysis Decision making
Input Output
Fault Simulator
ISG HIT multi-module environment
CPC
Pattern recognition/AI cluster Dispersive CPC – transients, inter/sub-harmonics
CPC CPC-DSP
Basic theory service module Fault location two node algorithm
Feature gen Pattern recognition
Decision making
Fault Diagnostics
• CPC- Currents Physical components- adapted to our needs.– Information due to the various components.– Accurate power calculation– Origin of harmonics
• CPC-DSP- an addition of DSP tools for feature generation and deeper analysis of the waveforms.– Recognizing the internal structure of a load.– Topology structure from two point measurement– Unique features of any abnormality.– Linearity or non- linearity of the load.
Fault Diagnostics
• Dispersive CPC- adaptation for transients.• Parallel development of diagnostics via
standard Signal processing techniques such as autocorrelation functions.
• pattern recognition and decision making
Analysis of the waveforms with HIT algorithms
Artificial Intelligence
Module 2- pattern recognition
Module 3- decision making
??
?=Module 1- feature generation
Phase modulation
LTI or non LTI
Phase modulation wave packets
Cross correlation
featuresציוני קירבה ל
Module 1- feature generation
Phase modulation
LTI or non LTI
Phase modulation wave packets
Cross correlation
Origins of our waveforms
Israel Electric Company network of PQ monitors
The worldElectric machines
Matlab Simulink
FIELD SAMPLES ANALYZED USING HIT ISG ALGORITHMS
Computer Center
Pumps
Shooting the target with 2 ammunitions
SOME RESULTS
0 0.02 0.04 0.06 0.08 0.1-500
0
500v(t) - Supply voltage
Sec.
Vol
ts
0 200 400 600 800 10000
100
200
300v(f) - supply voltage amplitude spectrum
Hz
RM
S V
olts
0 200 400 600 800 10000
20
40v(f) - supply voltage phase spectrum
Hz
deg.
0 0.02 0.04 0.06 0.08 0.1-500
0
500i(t) - Supply current
Sec.
Am
ps.
0 200 400 600 800 10000
50
100
150i(f) - current amplitude spectrum
Hz
RM
S a
mps
.
0 200 400 600 800 1000-20
0
20
40i(f) - current phase spectrum
Hz
deg.
Vrms= 257.15 V Irms= 167.09 S=42967VA
Ia =117.32 A Is= 21.455 A Ir= 110.05 A Ic= 38.333 A
2 2 2 166.75a r si i i i A
P= 30167 WQ= 28300 VARDs=5517.2 VADc=9857.3 VAS=42878VA
COMPUTER CENTER
0 0.02 0.04 0.06 0.08 0.1 0.12 0.14 0.16 0.18 0.2-100
0
100i(t) - Supply current
Sec.
Am
ps.
0 100 200 300 400 500 600 700 800 900 10000
20
40i(f) - current amplitude spectrum
Hz
RM
S a
mps
.
0 100 200 300 400 500 600 700 800 900 1000-200
0
200i(f) - current phase spectrum
Hz
deg.
Vrms=230.94 V Irms=37.357 AS=8627.2 VA .
Ia=28.952 A Is= 0 A Ir=15.584 AIc= 17.711 AIrms= 37.346 P=6686.2 WQ=3599 VARDs=0 VADc=4090.2 VAS=8624.8 VA.
