An apparatus and system for remote attestation of a power delivery network is disclosed. Embodiments of the disclosure enable remote attestation of the power delivery network by storing a trusted golden reference waveform in secure memory. The trusted golden reference waveform characterizes a power delivery network in response to a load generated on the power delivery network. A remote cloud server generates a server-generated remote attestation of the power delivery network by receiving an attestation packet from the power delivery network and verifying whether the attestation packet is consistent with an expected power delivery network identity.

A line double-end steady-state quantity distance measuring method and system based on an amplitude-comparison principle. According to the method and system, voltage values and current values of both sides of a line before and after a fault are collected (102), a voltage variable quantity and a current variable quantity of both sides of the line are calculated (103), and after a voltage phasor value and a current phasor value are determined according to the voltage variable quantity and the current variable quantity (104), the position of a short-circuit point is determined by performing iterative calculation on the voltage of the short-circuit point. The method is simple in principle, and can accurately recognize a fault point, achieving precise distance measurement of lines.

The present specification provides a method and device for determining a disturbance condition in a power transmission line. The method includes obtaining (302) a plurality of sample values corresponding to an electrical parameter measured in each phase. The method further includes determining (304) a plurality of magnitudes of the electrical parameter corresponding to each phase based on the corresponding plurality of sample values and determining (306) a plurality of difference values for each phase based on the corresponding plurality of magnitudes. The method includes processing (308) the plurality of difference values using a machine learning technique to determine the disturbance condition. The disturbance condition is one of a load change condition, a power swing condition and an electrical fault condition. The method also includes performing (310) at least one of a protection function and a control function based on the disturbance condition.

Voltage samples are collected for a source and loads connected thereto by an electrical network. Respective negative sequence voltage difference values are generated for respective source/load pairs from the voltage sample. A connection (e.g., a loose connection) in the electrical network is identified based on the generated negative sequence voltage difference values. The identified connection is reported to a user. Identifying a connection in the electrical network may include identifying at least one source/load pair having an associated negative sequence voltage difference value that meets a predetermined criterion and identifying the connection based on the identified at least one source/load pair. Identifying the connection may include identifying at least one source/load pair having an associated negative sequence voltage difference value with a magnitude falling outside of at least one range associated with the at least one source/load pair.

The present disclosure relates to a cable system for cable condition monitoring, a use of such a cable system, a method for manufacturing such a cable system, a method for operating such a cable system and a computer program element for operating such a cable system. The cable system includes a first adapter unit, a first sleeve unit and a cable including at least a first end portion. The first adapter unit is connectable to an energy storage system and the cable is configured for transferring electric power to the first adapter unit. The first sleeve unit is arranged between the first adapter unit and the first end portion of the cable and configured for providing protection therebetween. The first sleeve unit includes a first sensor unit configured for generating data based on strain exerted on the first sleeve unit. The first sensor unit includes a first flexible electronic element extending at least partially to the first end portion of the cable.

A clock monitor circuit detects departures from expected values for clock period, clock high time duration, or clock low time duration. A delay line of the clock monitor circuit is composed of delay portions of delay cells. Each delay cell also has a comparator portion with logic to compare aspects of the monitored clock signal to corresponding expected values, and to output a failure detection signal indicating whether the expected values are met. Expected values may be read from a fuse set. The delay of the delay line may be programmatically adjusted. The clock monitor circuit may be combined with a circuit that detects narrow glitches in the monitored clock signal. Devices and systems with one or more monitored clock signals, and methods of clock signal monitoring, are also described.

An apparatus for locating partial discharges in a medium-voltage or high-voltage operating equipment comprises a signal detection device for detecting an electrical signal variable of the operating equipment, a filter device for low-pass filtering of the detected electrical signal variable dependent upon a filter cut-off frequency, a time detection device for detecting a signal propagation time of the low-pass-filtered electrical signal variable, and a comparison device for comparing the detected signal propagation time detected dependent upon the filter cut-off frequency with a reference propagation time for a charge pulse conducted through the operating equipment in order to determine a location of the partial discharge in the operating equipment dependent upon the result of the comparison. Also provided is a method for locating a partial discharge in medium-voltage or high-voltage operating equipment, in particular, using the apparatus.

The invention relates to an electric circuit arrangement (2) for standard insulation monitoring with emergency shut-down for an ungrounded power supply system (4) upon detection of a ground fault, having a standard insulation monitoring device (10) which is coupled to an active conductor (L1, L2, L3) of the power supply system (4) on the network side via a coupling branch (12) each or to a neutral point (S) of the power supply system (4) via a coupling branch (12) and is connected to ground (PE) on the ground side via a ground connection branch (14). The electric circuit arrangement (2) comprises an AC/DC sensitive measuring current transformer (20) which detects a fault current on the network side at the active conductors (L1, L2, L3) in the coupling branches (12) or at the neutral point (S) in the coupling branch (12) or on the ground side in the ground connection branch (14) of the insulation monitoring device (10); an evaluator (30) for evaluating the fault current with regard to a fault current threshold being exceeded; and a trip device (40) for shutting down the power supply system (4).

Methods, systems, and apparatus, including computer programs stored on a computer-readable storage medium, for obtaining, from an electric field sensor, measurements of a net electric field resulting from a combination of respective electric fields from two or more electrical power conductors that are proximate to the electric field sensor. The apparatus detects a change in successive measurements of the net electric field. The apparatus determines, based on the change, that an electrical fault has occurred in one of the two or more electric power conductors. The apparatus sends to a server system, data indicating that the electrical fault has occurred in one of the two or more electric power conductors.

A method, a system and a tangible product and non-transitory computer program are provided to automatically identify electrical installations in an electrical distribution system that are likely to exhibit an electrical non-conformity (ENC). The method requires only electrical profiles collected from meters and IT tools, without the need for any other sub-metering equipment. The method includes the steps of recovering electrical profiles generated by the meters; applying algorithmic processing associated with indicators of an ENC on the profiles; and identifying electrical installations likely to exhibit an ENC, according to the indicators that have met their target conditions. The method may include the recovery of local meteorological data and nominal data related to the electrical installations to confirm or deny that the identified electrical installations are likely to be non-conforming.