Abstract: A UV/O3/H2O2 advanced oxidation reactor includes a water inlet pipe, a water outlet pipe, an ultraviolet reactor, an H2O2 adding device and an O3 adding device. The ultraviolet reactor has a plurality of ultraviolet lamps embedded therein, and the ultraviolet lamps are arranged at an angle with respect to partition plates. The water inlet pipe is connected to a water inlet in a lower portion of the ultraviolet reactor, and the water outlet pipe is connected to a water outlet in an upper portion of the ultraviolet reactor. The H2O2 adding device and the O3 adding device are arranged on a connecting pipe of the water inlet pipe. After raw water is pressurized, H2O2 is added into the raw water through the H2O2 adding device, then ozone is added in the raw water through a water injector, and finally the raw water enters the ultraviolet reactor.

Abstract: A spectral clustering method and system based on unified anchor and subspace learning is provided. The spectral clustering method based on unified anchor and subspace learning includes: S1: acquiring a clustering task and a target data sample; S2: performing unified anchor learning on multi-view data corresponding to the acquired clustering task and the acquired target data sample, and adaptively constructing an objective function corresponding to an anchor graph according to a learned unified anchor; S3: optimizing the constructed objective function by using an alternating optimization method to obtain an optimized unified anchor graph; and S4: performing spectral clustering on the obtained optimized unified anchor graph to obtain a final clustering result.

Abstract: A control system collects a graph-based representation of the power distribution system as a radial tree of nodes connected by edges. Each node represents a section of the power distribution system isolated by switches and each edge represents a switch that connects a section represented by the node with a neighboring section represented by the neighboring node. Each node has a property of power demand of a corresponding section governed by a difference between demanded and available energy for the section, and each edge has a property constraining throughput of energy through the switch in a direction of a power flow. The control system solves an optimization problem to determine the states of the edges and controls the switches based on the optimized states of the corresponding edges.

Abstract: The present application relates to devices and components including apparatus, systems, and methods to provide adaptive physical downlink control channel (PDCCH) monitoring. In particular, a unified signaling technique for adaptive PDCCH search space monitoring is descried. This signaling can indicate either one or a combination of the switching and skipping. In an example, the signaling includes multiple parts. In a first part, radio resource control (RRC) signaling is sent from the network to the device to configure the device for switching only, skipping only, or switching and skipping. In a second part, first DCI is sent from the network to the device to indicate the particular PDCCH monitoring configuration to use for the PDCCH search space monitoring. Thereafter, network sends second DCI in the relevant PDCCH search space, where this second DCI schedules traffic. The device performs blind decoding to determine the second DCI in order to exchange the traffic.

Abstract: A method using femtosecond laser for nano precision preparation. Initial damage nanoholes formed by using femtosecond laser multiphoton excitation are used as a seed structure, and the energy and polarization state of subsequent laser pulses are adjusted in real time, such that uniform and directional optical near-field enhancement is generated near the seed structure and finally the high-precision removal of machined materials is realized. Benefiting from the high localization of near-field spot energy in space, the method uses femtosecond laser pulses having the wavelength of 800 nm to achieve a machining accuracy having the minimum linewidth of only 18 nm, and the linewidth resolution reaches 1/40 of the wavelength; and the method using femtosecond laser for nano precision preparation does not need a vacuum environment, having good air/solution machining compatibility.

Abstract: Embodiments for distributing energy for an energy system having an energy generation source, an energy storage system and a load. The method including identifying a risk level for the energy system, the risk level having objectives prioritized relative to one another. Calculating an objective function based on values including energy market values, electricity rates, and power producing, storing and consumption. Identifying an Optimized solution for charging or discharging the energy storage system based on the objective function. Controlling the distribution of energy to the energy storage system for charging according to the Optimized solution based on the objective function and discharging according to the Optimized solution. The objective function is Optimized using feasibility constraints, again Optimized using technical constraints and additional constraints.

Abstract: A computer-implemented method is provided for performing energy disaggregation of a distribution system-level net-load measurements using continuous-point-on-wave (CPOW) measurement units.

Abstract: Disclosed a method and system for fault location and protection of Microgrids which are operated under islanded mode by being disconnected from distribution systems under large disturbance or disaster scenarios. The disclosed method is invented to meet the protection needs for disconnected ungrounded microgrids without appropriate protection systems that are usually installed only at distribution substations. Moreover, the disclosed protection method or scheme is targeted at inverter-dominated microgrids in which fault current limiters are installed to protect inverters introduced by the increasing penetration of inverter-based distributed generators (IBDGs).

Abstract: Disclosed a method and system for fault location and protection of Microgrids which are operated under islanded mode by being disconnected from distribution systems under large disturbance or disaster scenarios. The disclosed method is invented to meet the protection needs for disconnected ungrounded microgrids without appropriate protection systems that are usually installed only at distribution substations. Moreover, the disclosed protection method or scheme is targeted at inverter-dominated microgrids in which fault current limiters are installed to protect inverters introduced by the increasing penetration of inverter-based distributed generators (IBDGs).

Abstract: An electric hammer includes a housing, an electric motor, an output assembly, an impact assembly, a mounting shaft, a clutch assembly, and a switching assembly. The mounting shaft is rotatable about a second axis. When the electric hammer is in the drill mode, a sleeve of the output assembly rotates. When the electric hammer is in the hammer drill mode, the sleeve rotates and an impact block of the impact assembly reciprocates in the sleeve. The switching assembly is configured to switch the clutch assembly between a first state and a second state and includes a switching element. The switching element includes a forced end and a drive end, the output assembly moving along a first axis drives the forced end to move, and the drive end is configured to drive the clutch assembly to be switched to the first state.

Abstract: A method using femtosecond laser for nano precision preparation. Initial damage nanoholes formed by using femtosecond laser multiphoton excitation are used as a seed structure, and the energy and polarization state of subsequent laser pulses are adjusted in real time, such that uniform and directional optical near-field enhancement is generated near the seed structure and finally the high-precision removal of machined materials is realized. Benefiting from the high localization of near-field spot energy in space, the method uses femtosecond laser pulses having the wavelength of 800 nm to achieve a machining accuracy having the minimum linewidth of only 18 nm, and the linewidth resolution reaches 1/40 of the wavelength; and the method using femtosecond laser for nano precision preparation does not need a vacuum environment, having good air/solution machining compatibility.

Abstract: Systems and methods for identifying a fault condition in an Ungrounded Electrical Distribution (UED) system, the system receives measurements with instantaneous values and effective values associated when a fault event is identified, measured transient waveforms and a fault type. A processor applies an empirical mode decomposition to the measured transient waveforms to extract a dominant vibration mode and an associated derived waveform corresponding to the dominant vibration mode. A Hilbert transform is applied to the associated derived waveform to obtain a set of feature attributes. Subsets are computed from the set, at a pre-fault time, at a fault inception time, and at a post-fault time, and inputted into the fault type trained neural network model. An output of the model are locational parameters used to determine a fault section, a fault line segment and a fault location point with a topology connectivity analysis of the UED system.

Abstract: Systems and methods performed by a fault detection apparatus for fault detection and localization in distribution feeders having branches and nodes. The method including receive feeder raw data in a feeder of a power system. Process the feeder raw data with given operational electrical characteristics of the feeder to generate a branch attribute dataset for each branch separated by a pair of nodes for all branches. Generate a node attribute dataset for each node for all the nodes in the feeder. Input the branch and node attribute datasets into a trained neural network to determine whether a branch has a fault and a fault location within the branch, to output a classification of the fault and the fault location. Generate an alert signal based upon determining the classified fault and fault location in response to the alert signal to an outage response system.

Abstract: A system for a region including a processor to receive data including weather and component data. Generate a dataset for the region to identify weather events and a plurality of model forcings converted into tabular form. A machine learning (ML) model for each model forcing for each component uses dataset. Iteratively, for each weather event: identify for each component a corresponding model forcing with weather variables. Generate an output value for ML model corresponding to the identified components to the set of weather variables and update ML model. Receive observed data over time periods of an impending weather (IW) event. Iteratively, for each time period: identify, for each component a corresponding model forcing with weather variables and update ML model. Generate for the updated ML model, an output value predicting a component status as a failed or not failed for the time period.

Abstract: Disclosed is a plasma processing system with a faraday shielding device. The plasma processing system comprises a reaction chamber, and a faraday shielding device and an air inlet nozzle which are located on the reaction chamber. The air inlet nozzle penetrates through the faraday shielding device to introduce process gas into the reaction chamber. The air inlet nozzle is made of a conductive material, and the air inlet nozzle is electrically connected to the faraday shielding device. According to the plasma processing system, the air inlet nozzle made of the conductive material is electrically connected to the faraday shielding device, when the cleaning process is carried out, reaction gas of the cleaning process in the projection area of the air inlet nozzle is also electrically isolated, the reaction gas of the cleaning process forms a capacitive coupling plasma in the whole region below a dielectric window.

Abstract: A time synchronization system an input interface configured to receive pseudorange measurements from a set of antennas of at least one Global Navigation Satellite System (GNSS) receiving system that operates the antennas at known positions according to a clock with an unknown time bias to receive signals from satellites in sight of the antennas and an output interface configured to output the determined time bias. The time synchronization system also includes a processor configured to compare the pseudorange measurements of different antennas to produce an antenna-specific clock offset for each of the antennas, correct the pseudorange measurements of the antennas according to the antenna-specific clock offsets of corresponding antennas to produce corrected pseudorange measurements, and determine the time bias of the clock using the corrected pseudorange measurements.

Abstract: Embodiments for distributing energy for an energy system having an energy generation source, an energy storage system and a load. The method including identifying a risk level for the energy system, the risk level having objectives prioritized relative to one another. Calculating an objective function based on values including energy market values, electricity rates, and power producing, storing and consumption. Identifying an Optimized solution for charging or discharging the energy storage system based on the objective function. Controlling the distribution of energy to the energy storage system for charging according to the Optimized solution based on the objective function and discharging according to the Optimized solution. The objective function is Optimized using feasibility constraints, again Optimized using technical constraints and additional constraints.

Abstract: Systems and methods performed by a fault detection apparatus for fault detection and localization in distribution feeders having branches and nodes. The method including receive feeder raw data in a feeder of a power system. Process the feeder raw data with given operational electrical characteristics of the feeder to generate a branch attribute dataset for each branch separated by a pair of nodes for all branches. Generate a node attribute dataset for each node for all the nodes in the feeder. Input the branch and node attribute datasets into a trained neural network to determine whether a branch has a fault and a fault location within the branch, to output a classification of the fault and the fault location. Generate an alert signal based upon determining the classified fault and fault location in response to the alert signal to an outage response system.

Abstract: A system for a region including a processor to receive data including weather and component data. Generate a dataset for the region to identify weather events and a plurality of model forcings converted into tabular form. A machine learning (ML) model for each model forcing for each component uses dataset. Iteratively, for each weather event: identify for each component a corresponding model forcing with weather variables. Generate an output value for ML model corresponding to the identified components to the set of weather variables and update ML model. Receive observed data over time periods of an impending weather (IW) event. Iteratively, for each time period: identify, for each component a corresponding model forcing with weather variables and update ML model. Generate for the updated ML model, an output value predicting a component status as a failed or not failed for the time period.

Abstract: Systems and methods for coordinating network and control parameters of a power distribution system (PDS) with interconnected microgrids in response to a subset of interconnected microgrids entering island-mode due to a predicted future disaster, generating samples of network and control parameter combinations, determining optimal adjustments of network and control parameters with respect to the disaster condition, determining optimal set of network and control parameters to be reinforced or adjusted, activating the parameter adjustments and reinforcements on the determined tie lines and PCCs of the microgrids.