International Business Machines Corporation

Hydro-quebec

Utopus Insights, Inc.

Chumki Basu

Younghun Kim

Jagabondhu Hazra

Manikandan Padmanaban

Devasenapathi Periagraharam Seetharamakrishnan

Lloyd Alan Treinish

Kaushik Das

Innocent Kamwa

Ashish Verma

Amith Singhee

Ashok Kumar

Ulrich Alfons Finkler

Sébastien Guillon

Luc Cauchon

Jean Beland

Methods, systems, and computer program products for cognitive disambiguation of problem-solving tasks involving a power grid are provided herein. A computer-implemented method includes capturing user feedback pertaining to relevance of remote terminal unit measurements related to a grid event through user interface interactions carried out by the user, wherein the user interface is communicatively linked to at least one computing device; automatically inferring rules related to the grid event to curate remote terminal unit measurements across iterations of analysis by recognizing irrelevant data and/or distractions in a visual display associated with the user interface, wherein said automatically inferring comprises implementing machine learning via the at least one computing device based on the user feedback; and outputting candidate solutions to a problem-solving task involving the grid based on the inferred rules, wherein said outputting is carried out by the at least one computing device.

Cognitive disambiguation for problem-solving tasks involving a power grid using relevance feedback

Methods and arrangements for computing disruptive current in a transformer. Transformer current is measured, and disruptive current is predicted. Based on the active transformer current and predicted disruptive current, a predicted reactive power and predicted neutral current are determined. At least one corrective action, to be taken with respect to the transformer, is thereupon identified. Other variants and embodiments are broadly contemplated herein.

Monitoring operating conditions of a transformer during major electromagnetic disturbances

A method of receiving a substorm activity data log from one or more remote sensors, where substorm activity is due to solar activity. The method also includes receiving a harmonic distortion data stream from one or more remote observatories monitoring disturbances on a power grid, where the distortion is due to geomagnetically induced currents. The method also includes applying a mathematical model to the harmonic distortion data stream to create a derived harmonic distortion data log, and comparing phase-to-phase similarity of the three phases from the derived harmonic distortion data log. The method also includes predicting future adverse events due to geomagnetically-induced currents on the power grid based at least in part on the comparison and the substorm activity data log, and creating a warning based on the prediction.

Geomagnetic storm warning

A subset of mobile devices is selected from a set of mobile devices located in a local area. From a mobile device in the subset, a magnetic measurement value obtained by performing a magnetic measurement is received. The magnetic measurement value comprises a change in a magnetic property of an immediate surrounding ambient environment of the mobile device. When the magnetic measurement corresponds to a deviation in a network condition in a portion of a network, the portion being located in the local area, a conclusion is output that the deviation is caused by an electromagnetic disturbance (EMD), where an effect of the EMD causes the magnetic measurement value. A notification including an indication of the EMD and an identification of the local area is generated.

On-demand detection of electromagnetic disturbances using mobile devices

Systems and methods for cognitive alarm management in a power grid are described. In one embodiment, sensor measurements are transformed to determine the state of a power grid. Given current state information relating to the power grid, various analyses of the alarms may be conducted to produce various rankings of the alarms (e.g., by severity, graph analyses, etc.). In an embodiment, using power flow analysis, an optimal ranking is identified from the rankings in which a causal alarm is prioritized for resolution. Given the resolution of the causal alarm, remaining alarms (either all or a sub-set) may be resolved without further action. Thus, an embodiment provides an appropriate ranking of alarm conditions in a power grid such that the optimal resolution of alarms may be achieved. Other variants and embodiments are broadly contemplated herein.

System and method for cognitive alarm management for the power grid

Methods and arrangements for localizing an outage in a power grid. An outage is detected in a power grid, the power grid including interconnected nodes. At least one candidate network topology (in the power grid) with respect to the outage is determined, and power consumption information and measured voltages relative to the nodes in the power grid are received. Voltage at a plurality of the nodes in the power grid is estimated based on the received power consumption information and on the at least one candidate network topology, and a location of the outage is estimated, based on the estimated node voltages and measured voltages. Other variants and embodiments are broadly contemplated herein.

Electric outage detection and localization

Methods, systems, and computer program products for determining severity of a geomagnetic disturbance on a power grid using similarity measures are provided herein. A method includes extracting multiple features of activity associated with geomagnetically induced currents from multiple heterogeneous data streams; comparing the extracted features to historical data related to geomagnetically induced currents to determine a level of similarity between each of the extracted features and the historical data; assigning a level of severity to one or more of the extracted features having a level of similarity with the historical data above a given threshold; and generating a notification comprising (i) a prediction of activity associated with geomagnetically induced currents based on the extracted features having a level of similarity with the historical data above the given threshold, and (ii) the level of severity assigned thereto.

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East Brunswick, NJ, United States of America

Chumki Basu