Abstract: A method for detecting non-technical losses in an electrical power system includes measuring an area under a squared RMS current curve for a power cable in the electrical power system over at least one time interval, measuring an active and a reactive energy for the power cable over the at least one time interval, and characterizing a cable reactance and a cable resistance using the active energy, the reactive energy, and the area under the squared RMS current curve. The method further includes determining an active energy loss and a reactive energy loss over the at least one time interval using the area under the squared RMS current curve and the reactance and the resistance of the cable, and detecting a non-technical loss in the electrical power system based on the active energy loss and the reactive energy loss over the at least one time interval.

Abstract: A method for detecting non-technical losses in an electrical power system includes measuring an area under a squared RMS current curve for a power cable in the electrical power system over at least one time interval, measuring an active and a reactive energy for the power cable over the at least one time interval, and characterizing a cable reactance and a cable resistance using the active energy, the reactive energy, and the area under the squared RMS current curve. The method further includes determining an active energy loss and a reactive energy loss over the at least one time interval using the area under the squared RMS current curve and the reactance and the resistance of the cable, and detecting a non-technical loss in the electrical power system based on the active energy loss and the reactive energy loss over the at least one time interval.

Abstract: Detection and correction of technical and non-technical errors in smart grid power distribution are described. A system, method and non-transitory computer readable medium having instructions stored therein that, when executed by one or more processors, causes the one or more processors to perform a method for detecting and correcting technical and non-technical power losses in a smart grid that feature the following functions: remotely characterizing and updating the cables impedances, detecting and classifying the types of losses, estimating the technical and non-technical power losses when a check or smart meter is in error, estimating losses due to tapping a power cable by a registered or an unregistered user, and estimating losses due to a cyber attack. Technical errors corrected are impedance and reactance losses in the power distribution. Non-technical errors identified and corrected are no error, check meter in error, smart meter in error, tapping service cables, or cyber attacks.

Abstract: A system, method, and computer-readable storage medium for charging management for electric vehicles performing vehicle-to-grid regulation are presented. The system includes an aggregator that communicates with the electric vehicles according to a dispatch strategy to switch charging with electric power from the electric grid. The aggregator that aggregates and manages charging of a set of electric vehicles associated with an electric grid. A dispatch controller controls switching of at least a subset of electric vehicles of the set of electric vehicles between an ON state and an OFF state at a given time by sending binary charge commands to the subset of batteries, in a manner that change of charging rate of individual batteries is minimized while maintaining charging fairness among the respective electric vehicles.

Abstract: Detection and correction of technical and non-technical errors in smart grid power distribution are described. A system, method and non-transitory computer readable medium having instructions stored therein that, when executed by one or more processors, causes the one or more processors to perform a method for detecting and correcting technical and non-technical power losses in a smart grid that feature the following functions: remotely characterizing and updating the cables impedances, detecting and classifying the types of losses, estimating the technical and non-technical power losses when a check or smart meter is in error, estimating losses due to tapping a power cable by a registered or an unregistered user, and estimating losses due to a cyber attack. Technical errors corrected are impedance and reactance losses in the power distribution. Non-technical errors identified and corrected are no error, check meter in error, smart meter in error, tapping service cables, or cyber attacks.

Abstract: A system, method, and computer-readable storage medium for charging management for electric vehicles performing vehicle-to-grid regulation are presented. The system includes an aggregator that communicates with the electric vehicles according to a dispatch strategy to switch charging with electric power from the electric grid. The aggregator that aggregates and manages charging of a set of electric vehicles associated with an electric grid. A dispatch controller controls switching of at least a subset of electric vehicles of the set of electric vehicles between an ON state and an OFF state at a given time by sending binary charge commands to the subset of batteries, in a manner that change of charging rate of individual batteries is minimized while maintaining charging fairness among the respective electric vehicles.

Abstract: The present disclosure relates to an integration of automatic generation control and economic dispatch to achieve real-time optimization for power grid operation. Specifically, the present disclosure combines the above such that automatic generation control serves as an inner control loop and feedback-control-based economic dispatch serves as an outer loop. Moreover, a system equivalent generator and load are employed to represent a total system load.