905results about "Emergency protection data processing means" patented technology

A method and an apparatus detect series and/or parallel arc faults in AC and DC systems. The method according to one embodiment inputs an AC current signal; extracts a fundamental component of the AC current signal and monitoring an amplitude variation profile for the fundamental component, thereby generating a first arc fault detection measure; detects non-stationary changes in the AC current signal applying at least one measure of order higher than one, thereby generating a second arc fault detection measure; and determines whether an arc fault exists based on the first arc fault detection measure and the second arc fault detection measure.

A system for controlling a multi-feed power distribution network is described herein. The network includes a first network sector that includes a first plurality of devices connected to a first power source and a second network sector that includes a second plurality of devices connected to a second power source. The system includes a first controller and a second controller. The first controller is configured to control operation of the first network sector and exchange data with the second controller. The second controller is configured to control operation of the second network sector and exchange data with the first controller. The system is modular and it can be expanded to include additional controllers as necessary. Methods and a computer program product for controlling a multi-feed power distribution network are also described.

A methodology and related system apparatus is provided for using and coordinating the use of information conveyed over communications to most efficiently and flexibly respond to abnormalities to reconfigure and restore service to end customers in commodity distribution systems in a manner to enhance the reconfigurability of the distribution system, e.g. circuit reconfiguration in an electrical power distribution system. Methodology is also provided to appropriately allocate system resources of the distribution system when so desired, e.g. to prevent the potential overloading of electrical power sources. In one illustrative arrangement, the methodology is characterized by resources at each node and communications of source allocation data or messages to other nodes to request and establish an appropriate allocation of system resources. In a preferred arrangement and especially useful for larger distribution systems, “teams” of nodes are defined in the distribution system having associated switching controls with the various teams communicating amongst each other to “negotiate” or work out the most efficient and expeditious reconfiguration of the system in response to fault conditions and other circuit abnormalities.

A method and system for programming and implementing automated fault isolation and restoration of high-speed fault detection of circuits in power distribution networks using sequential logic and peer-to-peer communication is provided. High-speed fault detection of circuits in power distribution networks uses protective relay devices (14) segmenting a distribution line (11) having Intelligent Electronic Devices (IED) (22) associated with switching devices (20) communicating peer-to-peer via a communication system (30) to provide fast and accurate fault location information in distribution systems with sequential logic.

A computerized electricity system for connecting loads to a power source, including: (a) an arc fault detecting sub-system having at least one module including: (i) a relay unit, electrically associated with a particular load, for connecting and disconnecting to a power source; (ii) a current source for measuring a current being delivered from the power source to the load, to produce a current measurement; (iii) an analog circuit for receiving the current measurement from the current sensor, and for producing an analog signal based on the current measurement, and a second signal for indicating a potential arc fault event, and (iv) a digital circuit for receiving the second signal from the analog circuit and producing data, and (b) a processing unit connected to each module, so as to receive data corresponding to the analog signal, and the data from the digital circuit, the processing unit for identifying the arc faults, and wherein the processing unit is configured to command the relay unit to disconnect the current in response to identifying the arc faults, and wherein the processing unit is configured to provide this command only if several pre-determined conditions are met, (I) after detection of the potential arc fault event, the current measurement remains substantially unchanged, and (II) after a detection of at least one addition potential arc fault event, the arc fault events are found to be acyclic.

Provided are a high-voltage circuit breaker opening and closing time online monitoring apparatus, a smart multi-dimensional big data analyzing expert system for a high-voltage circuit breaker in a power grid, and methods therefor. The opening and closing time online monitoring apparatus includes a circuit breaker opening and closing events database, a circuit breaker opening and closing time online monitoring module, and a human machine interaction interface. Data in the circuit breaker opening and closing events database is derived from a SCADA and a measurement and control apparatus thereof, a circuit breaker phase selection opening and closing apparatus, a relay protection apparatus and a relay protection information system, and a fault recording apparatus and a fault recording system of each of a substation and a converter station. The circuit breaker opening and closing time online monitoring module includes various modules, and cloud databases for such online monitoring are created.

A Three-phase Power Signal Processor (TPSP) is disclosed for general three-phase power system applications. The TPSP is developed based on the concepts from adaptive filter and dynamical systems theories. The structure of the TPSP is unified as it provides a multiplicity of the signals and pieces of information without the need to change, modify, or enhance the structure or to impose excessive computational time or resource requirements. The presented TPSP receives a set of three-phase measured signals, which can be voltage, current, magnetic flux, etc, and provides (1) the instantaneous and steady-state symmetrical components, (2) the fundamental components, (3) the peak values (magnitudes) of the symmetrical components, (4) the frequency and its rate of change, (5) the synchronization signal(s) and zero-crossing instants, (6) the phase-angles of the symmetrical components, and (7) the disturbance signatures. Two or more TPSP units, when properly augmented, further provide (8) the individual harmonic components, (9) the inter-harmonics, (10) the instantaneous real and reactive current components, (11) the total harmonic distortion, dc-offset, and power factor. The TPSP can serve as the building block for various signal processing requirements encountered in the context of power system applications including power systems control, protection, monitoring, and power quality.

A measured phasor representing a sinusoidal power signal waveform is produced by orthogonal FIR filters, one of which produces the real part of the phasor and the other of which produces the imaginary part. The frequency difference between the rated frequency of the signal waveform in the power system and the actual frequency of the waveform at any selected point in time is determined and the elements (A, B, C, D) of a compensation matrix is determined. The compensation matrix is then used to perform a linear transformation to produce an exact phasor for the waveform.

An apparatus, system, and method for detecting high impedance faults in electrical power lines using a composite high impedance fault detection system having a voter logic that samples the logical outputs from a plurality of independent high impedance detection systems and determines a high impedance fault if any two of the plurality of independent high impedance detection systems indicates a high impedance fault. Preferably, the plurality of high impedance detection systems include a wavelet based high impedance fault detection system having a first logical output, a higher order statistics based high impedance fault detection system having a second logical output, and a neural net based high impedance fault detection system having a third logical output. Preferably, each of the plurality of high impedance fault detection systems includes an independent high impedance fault detection application that independently detects a high impedance fault on the electrical power line.

The invention relates to a novel approach for the protection of electrical circuits from ground faults and parallel and series arc faults in a fully solid-state circuit configuration. Solid-state circuits and methods of use are described that provide the key functions of low-voltage DC power supply, mains voltage and current sensing, fault detection processing and high voltage electronic switching.

An arc fault circuit interrupter includes separable contacts, an operating mechanism and an arc fault detector structured to detect an arc fault condition operatively associated with the contacts. The arc fault detector includes a tuned current sensor structured to sense broadband noise of a current flowing through the contacts, a compression circuit including an input of the sensed broadband noise and an output. The compression circuit compresses the dynamic range of the sensed broadband noise. A minimum detector includes an input of the compression circuit output and an output of the minimum value of the minimum detector input. A processor includes a number of inputs and an output. One of the inputs is the output of the minimum value of the minimum detector. A trip mechanism cooperates with the output of the processor and the operating mechanism to trip open the contacts responsive to the detected arc fault condition.

The invention discloses an intelligent multidimensional big-data analyzing expert system for high-voltage circuit breakers of a power grid. The intelligent multidimensional big-data analyzing expert system is composed of a high-voltage circuit breaker cloud database or a high-voltage circuit breaker cluster (hereafter called circuit breaker) cloud database and an intelligent expert deciding terminal with a multidimensional analyzing function. The intelligent multidimensional big-data analyzing expert system has the advantages that on the basis of a big-data analysis technology, the intelligent multidimensional big-data analyzing expert system performs multidimensional analysis on huge amount of online and offline cloud data, so that unified real-time monitoring and management for the circuit breakers is achieved, functions of circuit breaker state security risk assessment, optimal equipment maintenance scheme ordering, online mobile terminal dynamic warning and the like are provided, security and economic levels in running maintenance of high-voltage circuit breaker equipment are promoted, and the high-voltage circuit breaker can be managed better in an equipment overall lifecycle.

The invention relates to a distributing line fault detection system based on a cloud server. The distributing line fault detection system comprises the cloud server and data management subsystems arranged on all area line monitoring points of a power distribution network respectively; voltage and current signals of power supply lines are collected, and the voltage and current signals of the powersupply lines are weak electric signals obtained in the mode that all the voltage and current signals of the power supply lines are converted by a voltage current transformer respectively; switch datacollecting modules are used for collecting action characteristics of switches and signals of the temperatures of contactors; the line monitoring points are subjected to forecast judgment of fault types according to data matched in an overhauling log base; the monitoring points subjected to forecast judgment of fault types according to judging modules are further subjected to fault warning identification reminding, and forecast fault position information of the corresponding monitoring points is further sent to mobile terminals of area maintenance persons of faults.

A low fault current isolation arrangement senses a loss of voltage and automatically isolates and de-energizes a down live primary wire if overcurrent protection devices have not cleared the high impedance fault in an electric power distribution network. Incorporating an operator selectable time delay response, the low fault current isolation arrangement permits overcurrent protection devices to attempt to detect and shut down the affected conductor, and then isolates and shuts down the low current fault if the overcurrent devices are not successful. The isolation arrangement continuously monitors AC voltage as remotely provided by smart meters even after a fault location is de-energized, and serves as a back up, and not as a replacement, for existing overcurrent protection schemes. A host computer operates in conjunction with plural smart meters each coupled to an associated customer distribution transformer in conjunction with the fault isolator to detect and shut down high impedance faults.