Abstract: A method for determining phase locking of critical arc light includes: step 1: monitoring and collecting light radiation intensity of an arc inside a switch cabinet in real time, and converting the collected light radiation intensity into an electrical signal; step 2: extracting a power-frequency fundamental wave of the electrical signal, comparing an amplitude of the power-frequency fundamental wave of the electrical signal with a first threshold, and generating a pre-warning signal based on a comparison result of the first threshold; step 3: comparing the amplitude of the power-frequency fundamental wave of the electrical signal with a second threshold voltage, and generating a control signal based on a comparison result of the second threshold voltage and a protection time threshold; and step 4: protecting the switch cabinet under the critical arc light environment based on the pre-warning signal and the control signal.

Abstract: A deep learning-based method for fusing multi-source urban energy data and a storage medium are provided to perform data fusion on multi-source urban energy data found in big data and perform multi-scale and multimodal information fusion by using a cross-modal transformer, thereby implementing cross-modal mutual fusion of multi-source heterogeneous types of data to obtain a fused feature for prediction of a quantity of energy that will be used in the future and a quantity of energy that needs to be produced. The present disclosure proposes a multi-scale cooperative multimodal transformer architecture to enhance an effect of representation learned from an unaligned multimodal sequence. Not only there is a higher degree of correlation in multi-source urban energy data fusion, but also a system becomes more lightweight.

Abstract: According to a transformer-architecture-based method and system for IoT for and smart control of urban integrated energy, urban integrated energy IoT information acquired by a terminal from different areas is output to a server after being standardized into a sequence signal, where energy demand prediction is performed through learning of a deep learning network configured on the server, a smart control network is configured and built by using the deep learning network, real-time prediction processing is performed on the urban integrated energy IoT information acquired in real time, and a result is uploaded to a workstation for reviewing. Based on the transformer architecture, the deep learning network is combined with a fast Fourier transform algorithm and inverse transform on a sequence, and an FFT-Attention mechanism is proposed. Compared with a conventional transformer architecture, frequency domain information of a sequence is given more emphasis.

Abstract: Disclosed are a device and method for detecting defects of a high-voltage cable cross-bonded grounding system. The method comprises: selecting a protective grounding box of a cross-bonded grounding system, respectively connecting a signal excitation coupler to A-phase, B-phase and C-phase coaxial cables of the protective grounding box, selecting a stable signal with a frequency different from a power frequency or a field interference frequency, and testing effective current values and phases responded by the A-phase, B-phase and C-phase coaxial cables when the stable signal with the frequency F1 is injected into the A-phase, B-phase and C-phase coaxial cables of the protective grounding box in a coupled manner; and obtaining resistances and inductances of branch circuits of the cable cross-bonded grounding system by calculation according to measurement data, and determining if the cable cross-bonded grounding system has a connection defect.

Abstract: A construction method and system for asset value models in a digital twin engine includes: measuring the level of business importance based on a business model of building energy consumption assets, and constructing a first asset value model according to the business importance; establishing a correlation between the assets and productivity, and constructing a second asset value model according to productivity loss caused by the assets; and calculating the energy use efficiency of a building according to optimal decision variables, predicting the degradation index of the assets through the energy use efficiency, the first asset value model and the second asset value model, and generating a maintenance solution of the assets. The disclosed has ingenious conception and excellent effect, and realizes the accurate evaluation of the asset value by establishing the correlation between the assets and different businesses and different efficiency, generating the optimal and most accurate asset maintenance solution.

Abstract: Provided are an overhead line detection method and system based on a cable inspection robot. The cable inspection robot is suspended on the overhead line. An imaging unit and a laser emission unit are disposed at the front end of the cable inspection robot. The imaging unit is at a first angle to the overhead line. The laser emission unit is at a second angle to the overhead line.

Abstract: Systems and methods for generating a load model having composite load components for electric power systems are disclosed which include acquiring state information at a bus of the electric power system, acquiring a training event record, and generating the load model by sequentially executing steps of determining a final load component composition for a predetermined composite load model structure referencing to both the state information and the training event record, and determining a plurality of final load parameters corresponding to the final load component composition and the predetermined load model structure also referencing to both the state information and the training event record.

Abstract: A laser wireless power transmission device and method based on power acquisition on power line. The device includes a power transmitter and a power receiver both installed on a power transmission line. The power transmitter includes an online induction power acquisition module, a semiconductor laser, a communication module, a two-dimensional pan-tilt, a beam shaping module, a control unit, a video image module, and an IMU module. The power receiver includes a four-quadrant photovoltaic panel, a DCDC module, a wireless monitoring module, and a battery.

Abstract: A partial discharge (PD) detection apparatus for gas-insulated equipment includes a photon collector, an optical splitter, a first photoelectric conversion module, an ultraviolet fluorescent crystal, a second photoelectric conversion module, and a signal processing module, where the ultraviolet fluorescent crystal is configured to convert a second optical radiation signal into an optical radiation signal of an ultraviolet fluorescence band, and the signal processing module is configured to calculate first apparent intensity based on a first voltage signal output by the first photoelectric conversion module, calculate second apparent intensity based on a second voltage signal output by the second photoelectric conversion module, and determine discharge intensity of the optical radiation based on a ratio of the second apparent intensity to the first apparent intensity. Technical solutions of the present disclosure are not affected by an unknown distance between a discharge position and a detection point.

Abstract: A quasi-real-time data collection system for a competitive power market includes a distributed data collection unit, a centralized data collection unit, and a main collection station, where the distributed data collection unit is connected to an intelligent watt-hour meter by using an internal downlink communication module of the distributed data collection unit, and configures data item collection parameters and task execution parameters by using an internal collection task and scheme configuration module of the distributed data collection unit; the centralized data collection unit is connected to the main collection station by using an internal file conversion and uplink communication module of the centralized data collection unit; and the centralized data collection unit is connected to multiple distributed data collection units by using a local high speed power line carrier communication (HPLC) network.

Abstract: A multi-user scheduling method based on reinforcement learning for 5G IoT, including: calculating the achievable rate of each user in a set according to a communication scenario model; generating an initial scheduled users set according to the achievable rate of each user; according to the achievable rate of each user and the number of times each user is scheduled, evaluating the estimated value of each user's action value under the current scheduling period by using the Q-learning method; determining the upper bound value of the confidence interval of each user's action value; determining the set of scheduled users under the current scheduling period according to the upper bound of the confidence interval of each user's action value; according to the set of scheduled users under the current scheduling period, recalculating the actual achievable rate value of each selected user under the current scheduling period.

Abstract: Disclosed is an electrical topology of an integrated DC charging station and an operation control method. The electrical topology comprises a supply side DC bus, K discrete charging pile units and a mutual aid total DC bus; each charging pile unit comprises an input DC bus, a mutual aid sub-DC bus, an output DC bus, N isolation branches, a non-isolation DC/DC module and an output terminal, the input DC bus is connected to the supply side DC bus, and the mutual aid sub-DC bus of each charging pile unit is connected to the mutual aid total DC bus; the isolation branch comprises an output branch and a mutual aid branch; and when all the output branches of one charging pile, unit are started and the output power cannot meet the required power, the mutual aid branches of other charging pile units are started to meet the required power.

Abstract: A method of a power user classification based on distributed K-means, a storage medium and a classification device are provided. The method includes: obtaining, by N load aggregators, power consumption data of power users managed by respective load aggregators; performing, by each load aggregator, a normalization operation on time series load data of the power users managed by the load aggregator; forming a N×N dimensional adjacency matrix A; performing K-means clustering on normalized time series load data, to obtain the respective centroids and user groups characterized by the respective centroids; sharing, by the respective load aggregators, the centroids and the number of users under the respective centroids based on the adjacency matrix A, and obtaining consistent centroids by multiple load aggregators; after an overall iteration ends, obtaining, by the respective load aggregators, the consistent centroids consistent with the K-means centroid based on global data, to realize user classification.

Abstract: A micro-power wireless access method and apparatus for the Internet of things for power transmission and transformation equipment involves a time synchronization process, a traffic channel access process, a control channel configuration information access process, and a control channel burst information access process. In the time synchronization process, an aggregation node determines a delay parameter and other parameters based on a timeslot in which traffic information randomly transmitted by a sensing terminal is located, and the sensing terminal adjusts transmission time of a corresponding frame based on the parameters. The traffic channel access process adopts a mode in which one-way reporting is mainly used, to minimize working time of a sensor. The present disclosure realizes limited two-way communication on a control channel, supports configuration of a sensor cycle, a threshold, and other parameters, and supports a retransmission mechanism on the control channel for important alarm information.

Abstract: Disclosed are a power grid-friendly control method and system for a data center cooling system. The method includes: dividing an equipment room into a plurality of pieces of subspace in advance, with a plurality of servers and a cooling device comprised in each piece of subspace; obtaining total power consumption of the servers in each piece of subspace; performing priority sorting on the total power consumption of the servers in each piece of subspace; obtaining a real-time power supply energy consumption value of a power grid; determining, whether an energy supply is sufficient; and if the energy supply is sufficient, skipping turning off the cooling device in the subspace; or if the energy supply is not sufficient, turning off a cooling device, till it is determined that the energy supply is sufficient, thus minimizing impact of turning off the cooling system on stability.

Abstract: An SVM-based secure access method for wireless terminals. Step 1, establish a wireless network security model based on the communication scenarios of the wireless terminal and the wireless base station; establish the channel feature vectors based on the wireless network security model and the frames received by the wireless base station; Step 2, use the pre-trained SVM model to examine the channel feature vectors of the frames, determining whether the frames are legitimate signals; Step 3, determine whether the wireless terminal with at least one frame sent is a legitimate terminal based on whether at least one of the frames sent is a legitimate signal. The frames sent by the wireless terminals that access the wireless base station are examined to effectively determine legitimate terminals by improving the SVM parameter combination optimization method of differential evolution and the differential evolution method with an adaptive improvement of the control parameters.

Abstract: The present disclosure relates to a submodule topology circuit for a modular multilevel converter and a method for controlling same. The submodule topology comprises an inlet port and an outlet port, at least two half-bridge submodules, a plurality of first switching devices, a plurality of thyristors and a plurality of diodes, wherein the at least two half-bridges are connected in series and are provided between the inlet port and the outlet port, and each of the half-bridge submodules is provided with an input port, a first output port and a second output port.

Abstract: Disclosed is a method for calculating radio interference suffered by a communication device mounted on an electric power tower. The method includes: establishing a relative position model of the communication device mounted on the electric power tower and transmission lines, calculating interference field strength of the communication device on the electric power tower, and determining whether the radio interference field strength at the mounting point satisfies the requirements.

Abstract: Provided is a control method for a parallel MMC unit of a LCC-MMC hybrid cascade converter station. The control strategy includes: 1) numbering all MMC units connected in parallel in a MMC valve manifold; (2) for a MMC unit using a constant direct-current voltage control manner, calculating a direct-current instruction value of the MMC unit according to a direct-current measurement value; (3) for a MMC unit using a constant active power control manner, calculating an active power instruction value of the MMC unit according to the rated capacity of the MMC unit and a direct-current instruction value of a system rectifier station; (4) for the MMC unit using the constant direct-current voltage control manner, correcting a direct-current voltage instruction value of the MMC unit by using the direct-current instruction value and the direct-current measurement value, and controlling the MMC unit according to the corrected direct-current voltage instruction value.

Abstract: Provided are a load transfer method and system in thunder and lightning weather. The method includes: detecting lightning and predicting a position and time of a lightning strike to obtain a lightning prediction result; determining a transmission line possibly struck by lightning in a power grid according to the lightning prediction result; determining a load transfer scheme; and before the lightning occurs, transferring at least part of loads on the transmission line possibly struck by lightning according to the load transfer scheme.