HIT ISGFault Diagnostics in Smart Grid

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

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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.

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