Abstract: An electric vehicle supply equipment (EVSE) holster including a locking mechanism and an image capture device is described herein. The image capture device is configured to capture image data relating to a connector face of the charging connector when the charging connector is inserted into the holster. The image data is then analyzed to determine if a physical abnormality is present on the charging connector (for example, damage to the charging connector or debris lodged in the charging connector. If a physical abnormality is detected, the locking mechanism is actuated to lock the charging connector to the holster until maintenance is performed on the charging connector.

Abstract: A method for determining a charging price for an electric charging site includes receiving time tags and data obtained based on automated metering infrastructure (AMI) data for the electric charging site, and weather information for a service area of the electric charging site; clustering power consumption of the electric charging site with similar weather information and time tags; calculating a center of mass and a distribution confidence parameter for the clustered power consumption to obtain a look-up table; retrieving historical information of voltage VPCC and injection power Psite pairs that is measured at a point of common coupling (PCC) of the electric charging site; receiving weather forecast information for the service area of the electric charging site; and calculating a dynamic hosting capacity (DHC) curve and a price curve based on the center of mass and the distribution confidence parameter, the VPCC and Psite pairs, and the weather forecast information.

Abstract: A method for determining whether a power system is encountering a malicious attack is provided. The method comprises: receiving a plurality of first phasor measurement unit (PMU) measurements from a plurality of PMUs of the power system; determining a plurality of expected PMU measurements associated with a future time period based on an optimization algorithm that uses differences between a plurality of consecutive predictive entries and the plurality of first PMU measurements; receiving, from the plurality of PMUs, a plurality of second PMU measurements associated with the future time period; determining whether the power system is encountering the malicious attack based on comparing the plurality of expected PMU measurements with the plurality of second PMU measurements; and executing an action based on whether the power system is encountering the malicious attack.

Abstract: A method for recovering missing phase measurement unit (PMU) measurements from a plurality of PMUs is provided. The method comprises: receiving a plurality of obtained PMU measurements from the plurality of PMUs; populating a PMU dataset based on the plurality of obtained PMU measurements; determining a plurality of missing entries within the PMU dataset, wherein each of the plurality of missing entries indicates a missing PMU measurement within the PMU dataset at a particular time; determining a plurality of substitute entries for the plurality of missing entries based on an optimization algorithm that determines differences associated with a missing entry, of the plurality of missing entries, and a first set of PMU measurements, of the plurality of obtained PMU measurements, that are taken immediately prior to the missing entry; and inserting the plurality of substitute entries into the PMU dataset to generate a new PMU dataset.