Device for identifying consumer devices in an electric network and process for operating the device

• US 20080208496A1
• Filed: 09/29/2006
• Published: 08/28/2008
• Est. Priority Date: 09/30/2005
• Status: Abandoned Application

• Current Assignee: Schering Ag (Merck & Co., Inc.)
• Original Assignee: Schering Ag (Merck & Co., Inc.)
• Inventors: Habath, Thomas, Brandalik, Reyk
• Application Number:
  US11/529,556
• Publication Number:
  US 20080208496A1
• Time in Patent Office: Days
• US Class Current: 702/77
• CPC Class Codes: G01R 19/2513 Arrangements for monitoring electric power systems, e.g. power lines or loads; Logging
• CPC Class Codes: G01R 23/163 adapted for measuring in circuits having distributed constants
• CPC Class Codes: G01R 23/20 Measurement of non-linear distortion
• CPC Class Codes: H02J 13/00002 characterised by monitoring
• CPC Class Codes: H02J 13/00007 using the power network as support for the transmission
• CPC Class Codes: H02J 3/01 Arrangements for reducing harmonics or ripples
• CPC Class Codes: Y02E 40/40 Arrangements for reducing harmonics
• CPC Class Codes: Y02E 60/00 Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
• CPC Class Codes: Y04S 10/30 State monitoring, e.g. fault, temperature monitoring, insulator monitoring, corona discharge
• CPC Class Codes: Y04S 40/121 using the power network as support for the transmission

Abstract

The invention relates to a device for identifying consumer devices in an electric network (1) with currents that can vary over time and said device has a measuring device (3) for measuring at least one current signal of the electric network on at least one measuring point, a storage medium (5) in which at least one consumer spectrum, determined in advance, is stored, a data analysis device (6) and an output device (7). In this case, the data analysis device (6) converts the measured current signals of the electric network (1) into a network signal, automatically generates a model in which the network signal can be linked with at least one consumer signal, stored in advance in the storage medium (5), of at least one consumer device (2a, 2b), and automatically analyzes the model for determining at least one consumer distribution in the electric network.

The invention relates, moreover, to a process for operating the device.

With the device according to the invention and the process, it thus is possible to identify, in a simple and precise way, the consumer device and the consumer distribution in an electric network by a single measurement.

Claims

1. Device for identifying consumer devices (2a, 2b) in an electric network (1) with currents that can vary over time, with

a measuring device (3) for measuring at least one current signal on at least one measuring point (MP8) of the electric network (1),

a storage medium (5), in which at least one consumer signal, determined in advance, is stored,

a data analysis device (6) that

converts at least one measured current signal into a network signal,

automatically generates a model in which the network signal can be linked to at least one consumer device (2a, 2b) with at least one consumer signal that is stored in advance in the storage medium,

automatically analyzes the model for determining at least one consumer distribution of the consumer devices (2a, 2b) in the electric network (1), and

an output device (7) for at least one consumer distribution.

2. Device according to claim 1, characterized in that the measured current signal is a time signal.

3. Device according to claim 1, wherein the network signal of the electric network (1) and the consumer signals stored in the storage medium (5) produce time signals or frequency spectra.

4. Device according to claim 3, wherein the data analysis device (6) has means (61) by means of which a network spectrum that represents the network signal can be determined from the measured current signal of the electric network (1).

5. Device according to claim 4, wherein the data analysis device (6) for determining the network spectrum has means (61) for performing a Fourier transformation of the measured current signal of the electric network (1).

6. Device according to claim 3, wherein at least one consumer spectrum that represents a consumer signal or at least one time consumer signal is stored in the storage medium (5).

7. Device according to claim 3, wherein the data analysis device (6) provides means (62, 63, 64) for generating the model by means of which at least one consumer spectrum or at least one time consumer signal and the network spectrum or the time network signal in an equation system can be linked.

8. Device according to claim 1, characterized by a measuring device (4) for detecting at least one consumer signal of at least one consumer device (2a, 2b) that can be connected to the storage medium (5) for storing at least one consumer signal.

9. Device according to claim 8, wherein the measuring device (4) has a means for detecting at least one consumer signal, by means of which the current signal of at least one consumer device (2a, 2b) can be measured.

10. Device according to claim 9, wherein the measuring device (4) for detecting at least one consumer signal has means for performing a Fourier transformation of the measured current signal of at least one consumer device (2a, 2b) in order to determine a consumer spectrum that represents the consumer signal.

11. Device according to claim 8, wherein the measuring device (4) has means for detecting at least one consumer signal by means of which consumer devices (2a, 2b) can be classified in consumer classes based on the detected consumer signals.

12. Device according to claim 8, wherein the measuring device (4) for detecting at least one consumer signal has a mobile measuring device for measuring the current signal of a consumer device (2a, 2b).

13. Device according to at least claim 1, wherein the device (3-7) for identifying consumer devices (2a, 2b) in an electric network (1) is connected securely to the electric network (1).

14. Device according to claim 1, wherein the device (3-7) for identifying consumer devices (2a, 2b) in an electric network (1) is integrated in a measuring device and has connections for connecting to at least one electric consumer device (2a, 2b) and one electric network (1).

15. Device according to claim 1, characterized by a compensation device (8) that works together with the data analysis device (6) for compensation of a distortion of currents and voltages in the electric network (1) such that the currents and voltages of the electric network (1) are matched in a desired way.

16. Device according to claim 1, wherein the electric network represents an energy supply network (1), whereby the device (3-7) determines the consumer distribution of consumer devices (2a, 2b) in the energy supply network (1) and based on the consumer distribution of the consumer devices (2a, 2b), the current and the voltage that adjoin a feeder point of the energy supply network (1) are varied.

17. Device according to claim 1, wherein the electric network (1) is part of a system that has electric consumer devices (2a, 2b), whereby the electric consumer devices (2a, 2b) of the system can be monitored and/or controlled by means of the device (3-7).

18. Process for driving the device (3-7) according to claim 1, with the following steps:

Measurement of at least one current signal of an electric network (1) at least one measuring point (MP8),

Determination of a network signal that consists of at least one measured current signal of the electric network (1),

Automatic generation of a model in which the network signal and at least one consumer signal, detected in advance, of at least one consumer device (2a, 2b) are linked to one another,

Automatic analysis of the model for identifying the consumer devices (2a, 2b) in the electric network (1),

Storage and/or output of a discrete consumer distribution in the electric network (1).

19. Process according to claim 18, wherein the consumer signal of at least one consumer device (2a, 2b) represents a vector that is arranged in a consumer matrix for generating the model.

20. Process according to claim 19, wherein for generating the model that consists of the consumer matrix and a measured network signal, an equation system is formed, which is analyzed in the electric network (1) for the identification of the consumer devices (2a, 2b).

21. Process according to claim 18, wherein first the consumer signal of at least one consumer device (2a, 2b) is acquired and is stored in a storage medium (5).

22. Process according to claim 21, wherein to determine the consumer signal of at least one consumer device (2a, 2b), the current signal of at least one consumer device (2a, 2b) is first measured separately.

23. Process according to claim 18, wherein for detecting at least one consumer signal of at least one consumer device (2a, 2b), different network signals are detected at different times, and at least one consumer signal of at least one consumer device (2a, 2b) is determined from the different, detected network signals.

24. Process according to claim 23, wherein at least one consumer signal of at least one consumer device (2a, 2b) is determined by an eigenvalue analysis or singular value separation of the varying detected network signals arranged in a matrix.

25. Process according to claim 23, wherein the detection of at least one consumer signal is performed repeatedly, and the detected consumer signal is matched iteratively and/or stored in a new state.

26. Process according to claim 20, wherein consumer devices (2a, 2b) with similar consumer signals are assigned to a consumer class, whereby the consumer signal of the consumer class is produced from the consumer signals of the consumer devices (2a, 2b) combined in the consumer class.

27. Process according to claim 26, wherein the similar consumer signals have a normalized correlation coefficient of greater than 0.9, in particular 0.95.

28. Process according to claim 26, wherein the classification of the consumer devices (2a, 2b) in consumer classes is carried out iteratively and is matched adaptively by measurements staggered in time.

29. Process according to claim 20, wherein the consumer signal of at least one consumer device (2a, 2b) produces a consumer spectrum, and the network signal of the electric network (1) produces a network spectrum, whereby in the consumer spectrum and in the network spectrum, the amplitudes of the harmonic oscillations of the current signal or at least one consumer device (2a, 2b) or the electric network (1) are stored.

30. Process according to claim 29, wherein in the model, only the nonstraight harmonic oscillations of at least one consumer spectrum and the network spectrum are considered.

31. Process according to claim 30, wherein based on the number of consumer devices (2a, 2b) and the number of the harmonic oscillations detected in the consumer spectra and the network spectrum, an under-determined, a determined or an over-determined equation system is produced.