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HIT ISG Fault Diagnostics in Smart Grid

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.

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HIT ISG Fault Diagnostics in Smart Grid

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  1. HIT ISG Fault Diagnostics in Smart Grid

  2. The researchers

  3. Faults Faults Power quality Transient faults Symmetrical faults Unsymmetrical faults Persistent and temporary faults

  4. 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.

  5. This is the simple world

  6. Lets enter the world of abnormalities

  7. Real waves

  8. Another puzzle

  9. And another one

  10. A few more

  11. What do we do? First of all make sense

  12. Make sense

  13. CPC the fingerprint of abnormities • Basic Idea • As 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 research • Is it possible to separate to more components than the theory? (we go to 7 while the theory reports 5). • To what extent does the proposed algorithm enhances the verification of the fault?

  14. Based on what? • Use computation capabilities of smart grid devices: • Power quality monitors. • Network recorders • Existing and future technologies

  15. What do we get?

  16. HIT Simulator

  17. ISG HIT multi-module environment CPC Fault location two node algorithm Basic theory service module CPC CPC-DSP Pattern recognition/AI cluster Dispersive CPC – transients, inter/sub-harmonics Feature gen Pattern recognition Decision making

  18. 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.

  19. 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

  20. Analysis of the waveforms with HIT algorithms Artificial Intelligence Phase modulation Phase modulation Module 1- feature generation Module 1- feature generation LTI or non LTI LTI or non LTI Cross correlation Cross correlation Phase modulation wave packets Phase modulation wave packets Module 2- pattern recognition =? Module 3- decision making ציוני קירבה ל features

  21. Origins of our waveforms The world Electric machines Israel Electric Company network of PQ monitors Matlab Simulink

  22. Field samples analyzed using HIT ISG algorithms Computer Center Pumps Shooting the target with 2 ammunitions

  23. Some results 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 P= 30167 W Q= 28300 VAR Ds=5517.2 VA Dc=9857.3 VA S=42878VA

  24. Computer center Vrms=230.94 V Irms=37.357 A S=8627.2 VA . Ia=28.952 A Is= 0 A Ir=15.584 A Ic= 17.711 A Irms= 37.346 P=6686.2 W Q=3599 VAR Ds=0 VA Dc=4090.2 VA S=8624.8 VA.

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