Mobile electric field sensor based phasor measurement unit for monitoring an electric power grid

1. A system comprising:

an electric field sensor to measure electric fields of an electric power grid, said electric field sensor includes a printed circuit board (PCB) with two conductive plates insulated from each other;

an analog to digital converter to generate digital output based upon measurements from the electrical field sensor;

an estimator to estimate phasor data of the electric power grid based upon the digital output, wherein the estimator comprises a mobile communication device to generate a global time stamp for each of the phasor data, and display the phasor data.

2. The system of claim 1 , wherein the two conductive plates include two layers of parallel copper plates insulated from each other.

3. The system of claim 1 , wherein the two conductive plates include two copper plates, each with a length of no less than 5.05 cm, a width of no less than 3.05 cm, or an area of no less than 15 cm2, or having a thickness of no less than 0.75 cm between the two copper plates.

4. The system of claim 1 , further comprising an amplifier filter to amplify or filter the measurements from the electric field sensor to generate input signals to the analog to digital converter.

5. The system of claim 4 , wherein the amplifier filter comprises multiple stages of amplifiers or filters.

6. The system of claim 1 , wherein the analog to digital converter comprises a microcontroller to receive sampling trigger command to control the analog to digital converter, and to transmit digital output to the estimator.

7. The system of claim 1 , wherein the estimator is to request a time coordinate from a server, calibrate a local time, calculate the global time stamp for each of the phasor data.

8. The system of claim 7 , wherein the mobile communication device further stores or transmits the phasor data with corresponding global time stamp.

9. The system of claim 1 , wherein the estimator executes a phasor estimation algorithm to filter digital output using digital filter and to compute phase angle and frequency.

10. The system of claim 9 , wherein the phasor estimation algorithm comprises a digital filter with a digital averaging or band-pass filter, a phasor model with extended phasor model that models fundamental frequency component and second order harmonic components and third order harmonic components, linearization using quadratic polynomial for fundamental frequency component and linear polynomial to approximate the second order harmonic components and the third order harmonic components, estimation by fitting angles to quadratic polynomial using weighted least squares fitting method.

11. A method comprising:

measuring, by an electric field sensor, electric fields of electric power grid, said electric field sensor includes a printed circuit board (PCB) with two conductive plates insulated from each other;

generating, by an analog to digital converter, digital output based upon measurements from the electric field sensor;

estimating, by an estimator, phasor data of the electric power grid based upon the digital output wherein the estimator comprises a mobile communication device to generate a global time stamp for each of the phasor data and display the phasor data.

12. The method of claim 11 , wherein the two conductive plates include two layers of parallel copper plates insulated from each other.

13. The method of claim 11 , wherein the two conductive plates include two copper plates, each with a length of no less than 5.05 cm, a width of no less than 3.05 cm, or an area of no less than 15 cm2, or having a thickness of no less than 0.75 cm between the two copper plates.

14. The method of claim 11 , further comprising an amplifier filter to amplify or filter the measurements from the electric field sensor to generate input signals to the analog to digital converter.

15. The method of claim 14 , wherein the amplifier filter comprises multiple stages of amplifiers or filters.

16. The method of claim 11 , wherein the analog to digital converter comprises a microcontroller to receive sampling trigger command to control the analog to digital converter, and to transmit digital output to the estimator.

17. The method of claim 11 , wherein the mobile communication device is to request a time coordinate from a server, calibrate a local time, and calculate the global time stamp for each of the phasor data.

18. The method of claim 17 , wherein the mobile communication device further stores or transmits the phasor data with corresponding global time stamp.

19. The method of claim 11 , wherein the estimator executes a phasor estimation algorithm to filter digital output using digital filter and to compute phase angle and frequency.

20. The method of claim 19 , wherein the phasor estimation algorithm comprises a digital filter with a digital averaging or band-pass filter, a phasor model with extended phasor model that models fundamental frequency component and second order harmonic components and third order harmonic components, linearization using quadratic polynomial for fundamental frequency component and linear polynomial to approximate the second order harmonic components and the third order harmonic components, estimation by fitting angles to quadratic polynomial using weighted least squares fitting method.

21. A system comprising:

an electric field sensor to measure electric fields of an electric power grid;

an analog to digital converter to generate digital output based upon measurements from the electrical field sensor;

an estimator to estimate phasor data of the electric power grid based upon the digital output, wherein the estimator comprises a mobile communication device to generate a global time stamp for each of the phasor data, and display the phasor data; and

an amplifier filter to amplify or filter the measurements from the electric field sensor to generate input signals to the analog to digital converter.

22. The system of claim 21 , wherein the electric field sensor includes a printed circuit board (PCB) with two layers of parallel copper plates insulated from each other.

23. The system of claim 21 , wherein the electric field sensor includes a printed circuit board (PCB) having two copper plates, each with a length of no less than 5.05 cm, a width of no less than 3.05 cm, or an area of no less than 15 cm2, or having a thickness of no less than 0.75 cm between the two copper plates.

24. The system of claim 21 , wherein the amplifier filter comprises multiple stages of amplifiers or filters.

25. The system of claim 21 , wherein the analog to digital converter comprises a microcontroller to receive sampling trigger command to control the analog to digital converter, and to transmit digital output to the estimator.

26. The system of claim 21 , wherein the estimator is to request a time coordinate from a server, calibrate a local time, calculate the global time stamp for each of the phasor data.

27. The system of claim 26 , wherein the mobile communication device further stores or transmits the phasor data with corresponding global time stamp.

28. The system of claim 21 , wherein the estimator executes a phasor estimation algorithm to filter digital output using digital filter and to compute phase angle and frequency.

29. The system of claim 28 , wherein the phasor estimation algorithm comprises a digital filter with a digital averaging or band-pass filter, a phasor model with extended phasor model that models fundamental frequency component and second order harmonic components and third order harmonic components, linearization using quadratic polynomial for fundamental frequency component and linear polynomial to approximate the second order harmonic components and the third order harmonic components, estimation by fitting angles to quadratic polynomial using weighted least squares fitting method.

30. A method comprising:

measuring, by an electric field sensor, electric fields of electric power grid;

generating, by an analog to digital converter, digital output based upon measurements from the electric field sensor;

estimating, by an estimator, phasor data of the electric power grid based upon the digital output wherein the estimator comprises a mobile communication device to generate a global time stamp for each of the phasor data and display the phasor data; and

amplifying or filtering with an amplifier filter the measurements from the electric field sensor to generate input signals to the analog to digital converter.

31. The method of claim 30 , wherein the electric field sensor includes a printed circuit board (PCB) with two layers of parallel copper plates insulated from each other.

32. The method of claim 30 , wherein the electric field sensor includes a printed circuit board (PCB) having two copper plates, each with a length of no less than 5.05 cm, a width of no less than 3.05 cm, or an area of no less than 15 cm2, or having a thickness of no less than 0.75 cm between the two copper plates.

33. The method of claim 30 , wherein the amplifier filter comprises multiple stages of amplifiers or filters.

34. The method of claim 30 , wherein the analog to digital converter comprises a microcontroller to receive sampling trigger command to control the analog to digital converter, and to transmit digital output to the estimator.

35. The method of claim 30 , wherein the mobile communication device is to request a time coordinate from a server, calibrate a local time, and calculate the global time stamp for each of the phasor data.

36. The method of claim 35 , wherein the mobile communication device further stores or transmits the phasor data with corresponding global time stamp.

37. The method of claim 30 , wherein the estimator executes a phasor estimation algorithm to filter digital output using digital filter and to compute phase angle and frequency.

38. The method of claim 37 , wherein the phasor estimation algorithm comprises a digital filter with a digital averaging or band-pass filter, a phasor model with extended phasor model that models fundamental frequency component and second order harmonic components and third order harmonic components, linearization using quadratic polynomial for fundamental frequency component and linear polynomial to approximate the second order harmonic components and the third order harmonic components, estimation by fitting angles to quadratic polynomial using weighted least squares fitting method.