Systems and methods for monitoring automation systems

Patent metadata

Field	Value
Publication number	US-10310495-B2
Application number	US-201113009375-A
Country	US
Kind code	B2
Filing date	Jan 19, 2011
Priority date	Jul 24, 2010
Publication date	Jun 4, 2019
Grant date	Jun 4, 2019

Abstract

Systems and methods are disclosed for monitoring operation of an automation system that includes a plurality of interconnected logical objects. The systems and methods may build a fuzzy cognitive map to model an interdependence of the plurality of interconnected logical objects upon one another. In some examples, the systems and methods may identify a non-ideality associated with at least one of the plurality of logical objects and determine from the fuzzy cognitive map an effect of the non-ideality on the operation of the automation system. In some examples, the systems and methods may determine from the fuzzy cognitive map a first one of the plurality of logical objects that affects a second one of the plurality of logical objects to a greater extent than do the remaining ones of the plurality of logical objects.

First claim

What is claimed is:

1. A method for operating an electrical power automation system that includes a plurality of interconnected logical objects, the method comprising:
evaluating, with a computer of the electrical power automation system, a data file associated with the automation system to identify information descriptive of the plurality of interconnected logical objects, wherein the plurality of interconnected logical objects include a control device, a relay device, a measurement device, and a protection device;
responsive to evaluating the data file to identify the information, automatically generating, with the computer, a fuzzy cognitive map that models an interdependence of the plurality of interconnected logical objects upon one another based upon the information, wherein the fuzzy cognitive map includes a plurality of nodes each representing one of the plurality of interconnected logical objects and a plurality of links each representing an interdependence between two logical objects of the plurality of interconnected logical objects,
where respective weights are automatically generated for the plurality of links based upon data extracted from an extension of the data file that comprises a plurality of entries each storing a value corresponding to a weight of a link, while generating the fuzzy cognitive map to indicate a degree of interdependence such that a first interdependence between a first logical object and a second logical object is greater than a second interdependence between a third logical object and a fourth logical object,
where the first logical object and the second logical object are linked to one another by a first link having a first weight and the third logical object and the fourth logical object are linked to one another by a second link having a second weight, and where the first weight is greater than the second weight;
identifying, with the computer, a non-ideality for a node, the non-ideality associated with at least one of the plurality of interconnected logical objects; and
selecting, with the computer, the at least one of the plurality of interconnected logical objects associated with the non-ideality and selecting at least one other of the plurality of interconnected logical objects and calculating, with the computer, an indirect effect and a total effect on the at least one other of the plurality of interconnected logical objects and reporting a qualitative value of the indirect effect and the total effect to an operator of the computer.

2. The method of claim 1 , wherein respective weights are automatically determined for the plurality of links based upon one or more heuristic rules.

3. The method of claim 1 , wherein the non-ideality is a non-ideal health status for one or more of the plurality of interconnected logical objects.

4. The method of claim 3 , wherein the non-ideality relates to an operational state of the first device.

5. The method of claim 1 , wherein the first weight is based upon a first function performed relative to the first logical object and the second logical object and the second weight is based upon a second function, different than the first function, performed relative to the third logical object and the fourth logical object.

6. The method of claim 1 , wherein the first weight is based upon a first number of links corresponding to a first function performed relative to the first logical object and the second logical object and the second weight is based upon a second number of links corresponding to a second function, different than the first function, performed relative to the third logical object and the fourth logical object.

7. The method of claim 1 , wherein the non-ideality is a non-ideal quality of data for one or more of the plurality of interconnected logical objects.

8. The method of claim 7 , wherein the non-ideal quality indicates that the data is invalid.

9. The method of claim 7 , wherein the non-ideal quality indicates that the data has a questionable value.

10. The method of claim 1 , wherein the automation system is a substation automation system, and each of the plurality of interconnected logical objects corresponds to a control, a protection, monitoring, or a measurement element within a sub station.

11. The method of claim 1 , wherein the automation system is a substation automation system, and the data file is a Substation Configuration Language (SCL) file.

12. The method of claim 1 , comprising utilizing an expert system to determine the first weight.

13. The method of claim 12 , wherein the automation system is a substation automation system, and the data file is an International Electrotechnical Commission (IEC) 61850 Substation Configuration Language (SCL) file.

14. An operating system for an electrical power automation system, comprising:
a plurality of interconnected logical objects, wherein the plurality of interconnected logical objects include a control device, a relay device, a measurement device, and a protection device that correspond to first, second, third and fourth ones of the interconnected logical objects;
a computer linked to the plurality of interconnected logical objects; and
a computer readable storage medium containing instructions configured to cause the computer to monitor operation of the automation system upon execution of the instructions, the instructions comprising:
instructions to evaluate a data file associated with the automation system to identify information descriptive of the plurality of interconnected logical objects;
instructions to automatically generate a fuzzy cognitive map that models an interdependence of the plurality of interconnected logical objects upon one another based upon the information, wherein the fuzzy cognitive map includes a plurality of nodes each representing one of the plurality of interconnected logical objects and a plurality of links each representing an interdependence between two logical objects of the plurality of interconnected logical objects,
where respective links are weighted based upon data extracted from an external repository distinct from the data file that comprises a plurality of entries each storing a value corresponding to a weight of a link to indicate a degree of interdependence such that a first interdependence between a first logical object and a second logical object is greater than a second interdependence between a third logical object and a fourth logical object,
where the first logical object and the second logical object are linked to one another by a first link having a first weight and the third logical object and the fourth logical object are linked to one another by a second link having a second weight, where the first weight is greater than the second weight, and where the first weight is based upon a first function performed relative to the first logical object and the second logical object and the second weight is based upon a second function, different than the first function, performed relative to the third logical object and the fourth logical object, of a protection function, a monitoring function, an acquisition function, a supervision function, a control function, a tap changing function, an interlocking function and a reclosing function;
instructions to identify a non-ideality for a node, the non-ideality associated with at least one of the plurality of interconnected logical objects; and
instructions to select, in response to an operator input, the at least one of the plurality of interconnected logical objects associated with the non-ideality and at least one other of the plurality of interconnected logical objects and, in response to the sele

Assignees

• Mohagheghi Salman
• TOURNIER Jean Charles
• Abb Research Ltd

Inventors

• Mohagheghi Salman
• Tournier Jean-Charles

Classifications

• G05B23/0278 Primary

  Qualitative, e.g. if-then rules; Fuzzy logic; Lookup tables; Symptomatic search; FMEA · CPC title

• G06N5/048

  Fuzzy inferencing · CPC title