DALEKOVOD E: CONNECTING WORLDS, BUILDING THE FUTURE

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Gilbert Cannon
5 years ago
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DALEKOVOD T: +385 1 241 11 11 E: dalekovod@dalekovod.

1 DALEKOVOD T: E: dalekovod@dalekovod.hr CONNECTING WORLDS, BUILDING THE FUTURE 2018

2 CONNECTING WORLDS, BUILDING THE FUTURE EOS SYSTEM OFFICES YEARS EMPLOYEES IN LONG OF NORWAY, NORDIC TRADITION SWEDEN, PRESENCE FINLAND 2

3 DIGITALIZING POWER LINES AND SUBSTATIONS 3

4 DIGITALIZING POWER LINES AND SUBSTATIONS - LIDAR + orthophoto - High resolution photo 4

5 DIGITALIZING POWER LINES AND SUBSTATIONS 3D model (PLS-CADD, PRIMTECH) Checkings: - Tower and equipment position and verticality - Conductor tension and position - Infrastructure vicinity - Clearances 5

6 DIGITALIZING POWER LINES AND SUBSTATIONS Implementation of 3D models in Google Earth Model synchronization with GPS devices Availability of the model on tablets and smartphones Built-in equipment and tower data 6

7 EOS SYSTEM EXTERNAL OBJECTS SUPERVISION 7

8 WHAT IS EXTERNAL OBJECTS SUPERVISION (EOS) SYSTEM? INTEGRATED OBJECT DIGITALIZATION SYSTEM Multiobject and multisystem solution EXTERNAL OBJECTS Distant objects, hard to reach and very often dispersed in locations NON-OBSERVABLE Objects without any signal or with only few non integrated signals DATABASE Data storage and archiving Post mortem analysis OBJECT OBSERVABILITY Various kinds of sensors and on-line measurements (electrical or non-electrical) SPATIAL-TIME- REFERENCING Geographical locating Time synchronization NO CRITICAL EVENT ALARM External objects very often belong to key infrastructure that needs to be alarmed on critical event ALARMING Early warning and alarms on critical events 8

9 WHY EOS SYSTEM? MOTION DETECT 23,4 kwh POWER SUPPLY BATTERY VOLTAGE 23,8 V 40 kmh WIND SPEED OBJECT A STAND ALONE OBJECT C ROOFTOP MICROLINK SIGNAL 40% 40% DEW POINT DOOR OPENED OBJECT B TELECOM MAST OPERATOR 1 OBJECT D CABINET 28 C TEMPERATURE TEMPERATURE 25 C DOOR OPENED MOISTURE 40% KLARIC RFID CARD NAME CONFIRMATION 9

10 SENSORSTAGE SOFTWARE FUNCTIONALITY AND MOBILITY ON LINE SYSTEM MONITORING Digitalization of existing objects MEASUREMENTS AND SENSORING Better observability and visibility of existing objects ALARMING AND WARNING Early warning values and signals DATABASE Analyzing critical events, post-mortem diagnostics 04

11 SENSORSTAGE EXAMPLE 11

12 WIDE AREA MONITORING SYSTEM 12

WAMS SYSTEM FOR FUTURE GRIDS RMS values Sampling: e.g. 0.5 Hz SCADA / EMS Large number of signals: e.g. 10 000 Data A/D System overvue Measurements Stationary conditions U RMS, I RMS ~ RTU Function Real time Power System Monitoring Vectors!

13 WAMS SYSTEM FOR FUTURE GRIDS RMS values Sampling: e.g. 0.5 Hz SCADA / EMS Large number of signals: e.g Data A/D System overvue Measurements Stationary conditions U RMS, I RMS ~ RTU Function Real time Power System Monitoring Vectors! Voltage/frequency instability detection Oscillations and frequency disturbances Dynamic overload Detection Preventive action Suggestions State Estimation Benchmarking WAMS Vectors A/D GPS ~ PMU I 3 U 3 Im (time stamp) Sampling: Hz Lower number of signals e.g System overvue Dinamic and stationary events U 1 Re U I 2 2 U(t), I(t) I 1 13

14 WAMS POWER SYSTEM ON-LINE MONITORING 14

power system control applications integration to existing infrastructure PMUs, communications Smart

15 PDC WIZARD SOFTWARE Better system monitoring : optimising investments systems on the edge Larger share of renewables (wind) system control with constant increase of renewable energy Needs: flexible power system control applications integration to existing infrastructure PMUs, communications Smart Grid Backbone PDCWizard developed system is applicable and liable to modifications regarding system needs 15

16 SMART CITY INFRASTRUCTURE 16

17 DIGITAL URBAN INFRASTRUCTURE 17

18 DIGITAL URBAN INFRASTRUCTURE 18

19 DIGITAL URBAN INFRASTRUCTURE 19

20 CONNECTING WORLDS, BUILDING THE FUTURE T: E: dalekovod@dalekovod.hr

MISO - EPG DATA QUALITY INVESTIGATION

MISO - EPG DATA QUALITY INVESTIGATION Ken Martin Electric Power Group Kevin Frankeny, David Kapostasy, Anna Zwergel MISO Outline Case 1 noisy frequency signal Resolution limitations Case 2 noisy frequency