Abb Research Ltd.

Abb Power Automation Ltd.

Abb Schweiz Ag

David Lubkeman

James Stoupis

David G Hart

Reto Buettner

Zhenyuan Wang

Ajay C Madwesh

Jiuping Pan

Yi Hu

Vaibhav Deepak Donde

Fang Yang

Donato Colonna

Mirrasoul Mousavi

Xiaoming Feng

Le Tang

Khoi Tien Vu

Danny E Julian

Kornel Scherrer

Martin Bass

Richard E Brown

J Rafael Ochoa

Anil Pahwa

Jay Vellore

Lan Trinh

Joe G Mazza

Vaibhav Donde

Graphical tool and method for designing device-to-device configurations used in power systems. The tool comprises software program instructions configured to allow a user to graphically associate on a monitor an intelligent electronic device (IED) selected from an available list to a corresponding switching device of the power system. For a first IED associated to corresponding switching device, the user graphically configures on the monitor a related logic by selecting one or more logical inputs/outputs and one or more target IEDs from/to which said logical inputs/outputs are to be received/sent, respectively.

Methods and apparatus for designing device-to-device configurations suitable to be used in a power system

A method and system restores power in a power distribution network. The network includes a plurality of power sources, a plurality of loading zones, a plurality of switching devices interconnected between the plurality of power sources and the plurality of loading zones, and an intelligent electronic device associated with each of the plurality of switching devices to control the switching devices. A base network state is defined and a power restoration logic is created for the base network state. A simulation is run for the power restoration logic and then the power restoration logic is transmitted to a power restoration controller which thereafter monitors and controls the intelligent electronic devices.

Load restoration for feeder automation in electric power distribution systems

An exemplary method for configuring an intelligent electronic device in a power delivery system includes receiving identification data for the intelligent electronic device, based on the received identification data and on capabilities of the intelligent electronic device, generating a configuration profile for the intelligent electronic device, receiving operating parameters for the intelligent electronic device, determining a coordination of the intelligent electronic device with the power delivery system based on the received operating parameters, displaying the determined coordination, modifying the configuration profile based on the received operating parameters and the determined coordination, and configuring the intelligent electronic device with the modified configuration profile.

Intelligent configuration system for power distribution feeder reclosers and switches

A cable fault detection component () receives input data indicative of a fault in an electrical power system. The component () analyzes the input data to determine if the fault is indicative of a temporary or self-clearing cable fault and generates corresponding output data (). In one implementation, the cable fault detection component () is implemented as a software module which operates on a computer () of a substation intelligence system ().

Cable fault detection

A cable fault detection component () receives input data indicative of a fault in an electrical power system. The component () analyzes the input data to determine if the fault is indicative of a self-clearing cable fault and generates corresponding output data (). In one implementation, the cable fault detection component () is implemented as a software module which operates on a computer () of a substation intelligence system ().

A substation intelligence system () includes a substation computer () which is operatively connected to a plurality of field devices () through an input/output subsystem (). Data indicative of the devices is stored in a substation database (). Advanced monitoring and/or diagnostics () use information from the database to perform various monitoring and/or diagnostic functions.

Electrical substation monitoring and diagnostics

Methodologies adjust a component failure rate for electric power network reliability analysis. A component may include subcomponents and the failure of each subcomponent may be feature dependent. Features are measurable or observable inputs, which can affect the life of one or more subcomponents. The failure rate of a particular component may be obtained according to its real conditions. The methodologies can be used to do condition-based reliability analysis for electric power networks, in order to obtain a maintenance/replacement/operation strategy.

Failure rate adjustment for electric power network reliability analysis

Electric utility storm outage management is performed by determining an interconnection model of an electric utility power circuit, the power circuit comprising power circuit components, determining information indicative of weather susceptibility of the power circuit components, determining a weather prediction, and determining a predicted maintenance parameter based on the interconnection model, the weather susceptibility information, and the weather prediction.

Electric utility storm outage management

A computer implemented method uses a database of detailed, comprehensive utility operating and financial information. The method comprises: () feature based matching or similarity based benchmark and focus group selection; () a performance assessment procedure comprising multi-perspective analysis; and () multi-attribute business profiling and performance improvement potential analysis. As part of the performance assessment step, data corresponding to different utilities in a selected benchmark group are compared with each other to find their strengths and weaknesses. Interpretation of these gaps provides the cause of such gaps. Composite ranking analysis is used so that a composite score of at least one utility business is obtained.

Method for evaluation of energy utilities

The invention describes a method, system, device, and computer-readable medium having computer-executable instructions for classifying faults on an electrical power line. In particular, the invention permits the classification of crossover faults using a local measurement technique. The inventive method includes providing a first electrical power transmission line and a second electrical power transmission line, and monitoring the first electrical power transmission line to identify a crossover fault occurring between the first and the second electrical power transmission lines.

Crossover fault classification for power lines with parallel circuits

The invention describes a method, system, device, and computer-readable medium having computer-executable instructions for classifying faults on an electrical power line. In particular, the invention permits the classification of crossover faults, using a local measurement technique. The inventive method includes providing a first electrical power transmission line and a second electrical power transmission line, and monitoring the first electrical power transmission line to identify a crossover fault occurring between the first and the second electrical power transmission lines.

A fault is located in a transmission line with a sending end, a receiving end, and a tapped load connected to the transmission line at a tap node. The tap node divides the transmission line into a sending side and a receiving side. The sending end and the receiving end each include a measuring device. The fault location is determined by obtaining measured circuit parameters including measured pre-fault and faulted current and voltage values at the sending end and at the receiving end of the transmission line. The phase angle difference due to unsynchronized measurement using the measured pre-fault current and the measured pre-fault voltage values may be calculated. The load impedance of the tapped load is calculated. A first fault location is calculated assuming that the fault is located on the sending side of the tap node. A second fault location is calculated assuming that the fault is located on the receiving side of the tap node. The fault location is selected from one of the first fault location and the second fault location, by selecting the fault location having a value within a predetermined range representing a full distance between two nodes.

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Cary, NC, United States of America

David Lubkeman