Systems and methods for monitoring automation systems

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 selection, calculate 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.

A method for operating a substation 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 substation 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 that correspond to first, second, third and fourth ones of the interconnected logical objects;
• 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 links are weighted by an expert system 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 responsive to a determination that:
• a first number of links exist between one or more first logical objects and a first function associated with the first logical object;
• a second number of links exist between one or more second logical objects and a second function, different than the first function, associated with the third logical object, where the first function is dependent on the one or more first logical objects and the second function is dependent on the one or more second logical objects;
• and
• a dependency of the second function on each of the one or more second logical objects is greater than a dependency of the first function on each of the one or more first logical objects based upon a determination that the second number of links is greater than the first number of links;
• 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.