Method and apparatus to determine electric power network anomalies using a coordinated information exchange among smart meters

• US 9,793,950 B2
• Filed: 02/22/2017
• Issued: 10/17/2017
• Est. Priority Date: 11/13/2015
• Status: Active Grant

• Current Assignee: Utopus Insights, Inc. (Vestas Wind Systems A/S)
• Original Assignee: Utopus Insights, Inc. (Vestas Wind Systems A/S)
• Inventors: Goyal, Aanchal, Aravkin, Aleksandr Y., Kim, Younghun, Kumar, Tarun
• Primary Examiner(s): NEFF, MICHAEL R
• Application Number:
  US15/439,412
• Publication Number:
  US 20170170871A1
• Time in Patent Office: 237 Days
• Field of Search: 375226
• CPC Class Codes: H04B 2001/6912 using chirp
• CPC Class Codes: H04B 3/462 Testing group delay or phase shift, e.g. timing jitter
• CPC Class Codes: H04B 3/542 the information being in digital form
• CPC Class Codes: H04L 43/0847 Transmission error
• CPC Class Codes: H04L 43/50 Testing arrangements

Abstract

A system and method to produce an electric network from estimated line impedance and physical line length among smart meter devices is provided using communication between the smart meters. The smart meters: (1) synchronize time using GPS pps signals, which provide an accurate time stamp; (2) send/receive an identifiable signal through the same phase of electric networks; (3) identify other smart meters on the same phase lines by listening to the information signal on the same phase lines; and (4) calculate time-of-arrival of an identifiable signal from other smart meters. The time of arrival information is used to calculate the line length, which is then used to calculate impedance of a line and topology of the electric network. The system then constructs an electric network by combining geo-spatial information and tree-like usual connection information.

Claims

1. A method for assessing an electric power network of low voltage distribution grids, the method comprising:

exchanging information between a smart meter and another smart meter that each receive power over same power lines of the electric power network by;

measuring time-of-travel of signal packets from the smart meter to the another smart meter using an accurate time synchrony to synchronize time to achieve nano second level synchronization accuracy; and

measuring signal packet distortion,

wherein the exchanging information further comprises calculating time-of-arrival, line length, and impedance of connecting power lines.

2. The method of claim 1, wherein the exchanging information further comprises detecting time-or-arrival asymmetry, outliers, and temporal characteristic changes.

3. The method of claim 1, wherein the signal packets are chirp signal packets each comprising a chirp signal, a coded smart meter identification (ID) and a coded global time stamp.

4. Method for assessing an electric power network of low voltage distribution grids, the method comprising:

exchanging information between a smart meter and another smart meter that each receive power over same power lines of the electric power network by;

measuring time-of-travel of signal packets from the smart meter to the another smart meter using an accurate time synchrony to synchronize time to achieve nano second level synchronization accuracy, wherein the signal packets are chirp signal packets each comprising a chirp signal, a coded smart meter identification (ID) and a coded global time stamp; and

measuring signal packet distortion.

5. The method of claim 4, wherein the exchanging information further comprises calculating time-of-arrival, line length, and impedance of connecting power lines.

6. The method of claim 4, wherein the exchanging information further comprises detecting time-or-arrival asymmetry, outliers, and temporal characteristic changes.

7. A method for assessing impedance characteristics of an electric power network of low voltage distribution grids having a plurality of smart meters that each receive power over same power lines of the electric power network, the method comprising:

choosing a farthest end smart meter;

calculating a line length from the farthest smart meter to each other smart meter of the plurality of smart meters;

calculating a line length between each pair of adjacent smart meters of the plurality of smart meters; and

calculating impedance for each line segment based upon line length calculations.