Abstract: A control method for a phase-change energy storage type cold and heat combined supply system with a multi-heat source heat pump includes the following steps of: recording the temperature of a solar panel using solar energy as a heat source at a certain moment as tt, the temperature of a water source to be taken as ts, the temperature of a geothermal source as td, the temperature of an air source as tk; calculating the heat storage efficiency ?s, ?k and ?d of the phase change material under the action of solar energy-water energy, solar energy-air source and solar energy-ground source; calculating the hourly heat storage capacity of the heat pump Qrb, comparing it with the total hourly heat consumption of the system Qtol, and if Qrb<1.45Qtol, regulating the use of various heat sources through the heat storage integrated regulation system until Qrb<1.45Qtol.

Abstract: A device for simulating high-frequency current propagation of partial discharge of a GIL/GIS is disclosed. The device comprises a casing, a busbar cavity, an adjustable impedor, a first metal support, a second metal support, a third metal support, and a high-frequency current sensor. The first metal support and the second metal support are separated by an insulating support, the third metal support has an end connected to the second metal support, as well as an end connected to a grounding grid, and the adjustable impedor is formed by an adjustable resistor and an adjustable inductor which are connected in series, and is connected in series between the first metal support and the second metal support through a wire.

Abstract: A molecular probe-based safety prewarning and fault location system for an electrochemical energy storage station includes a molecular probe label, a camera, and a host. The present disclosure realizes real-time safety prewarning of a fault of an electrochemical energy storage device based on a color change of a gas sensing region of the molecular probe label, and locates an abnormal electrochemical energy storage device based on a position marker region of the molecular probe label or a position of the camera on a slide rail when the camera is facing the molecular probe label. Operation and maintenance personnel of an energy storage station can obtain a prewarning signal in time and take a corresponding safety measure. The molecular probe technology is a drive-free technology with advantages of high sensitivity, low costs, and anti-interference. It has important application value for operation safety of a large-scale energy storage station.

Abstract: Disclosed are a device and method for detecting defects of a high-voltage cable cross-bonded grounding system. The method selects a protective grounding box of a cross-bonded grounding system, respectively connects a signal excitation coupler to A-phase, B-phase and C-phase coaxial cables of the protective grounding box, selects a stable signal with a frequency different from a power frequency or a field interference frequency, and tests 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; and obtains resistances and inductances of branch circuits of the cable cross-bonded grounding system by calculation according to measurement data, and determines if the cable cross-bonded grounding system has a connection defect.

Abstract: A micro-power wind-solar hybrid energy harvesting and power generating device including a solar power generation module, a wind power generation module, a control module, an energy storage module, and an accessory structure are provided. The solar power generation module is mainly composed of a solar thin film cell and a corresponding interface control circuit, and the wind power generation module includes a wind-induced vibration structure, a cantilever beam structure, a piezoelectric element, and a corresponding interface control circuit. The solar thin film cell is mounted at a top of the wind-induced vibration structure, and interface control circuits, the energy storage module, etc. are all arranged inside the wind-induced vibration structure. The control module is configured to handle an energy harvesting and power generating algorithm of the wind-solar hybrid power generating device to maximize the power generation quality and the power generation efficiency of the device.

Abstract: The present invention discloses a method and apparatus for photovoltaic DC direct-fed power generation based on controllable power supply. According to the present invention, the photovoltaic cells are directly connected to the DC microgrid, and the DC bus voltage is flexibly regulated by the controllable power supply in the DC microgrid to enable the photovoltaic cells to operate at the maximum power, thus eliminating the need for a DC interface converter when the photovoltaic cells are connected to the DC bus and reducing the cost and size of the distributed PV power generation system.

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: The present disclosure provides a system and method for verifying alternating current (AC)/direct current (DC) conversion of an ultralow-frequency voltage. The system includes a quantum voltage generation system, a low-frequency signal source, a follower, three switches, a double-heater-strip thermoelectric converter, a nanovoltmeter, a clock source, a high-precision digital sampling system, and an upper computer. Based on DC and AC quantum voltage technologies and with reference to the double-heater-strip thermoelectric converter, an ultralow-frequency voltage is traced to a DC quantum voltage through AC/DC conversion, and a conversion result is compared with an AC quantum voltage to verify rationality of precision and an uncertainty evaluation result of AC/DC conversion of the ultralow-frequency voltage, so as to ensure reliability of AC/DC conversion of the ultralow-frequency voltage. This resolves a problem that the AC/DC conversion result of the ultralow-frequency voltage cannot be verified.

Abstract: A micro-power wind-solar hybrid energy harvesting and power generating device including a solar power generation module, a wind power generation module, a control module, an energy storage module, and an accessory structure are provided. The solar power generation module is mainly composed of a solar thin film cell and a corresponding interface control circuit, and the wind power generation module includes a wind-induced vibration structure, a cantilever beam structure, a piezoelectric element, and a corresponding interface control circuit. The solar thin film cell is mounted at a top of the wind-induced vibration structure, and interface control circuits, the energy storage module, etc. are all arranged inside the wind-induced vibration structure. The control module is configured to handle an energy harvesting and power generating algorithm of the wind-solar hybrid power generating device to maximize the power generation quality and the power generation efficiency of the device.

Abstract: A dispatching method for an electric-hydrogen energy system considering flexible hydrogen demand includes establishing an electric load flexibility equation, a power purchase and sale constraint equation, a renewable energy output constraint equation, a hydrogen load flexibility equation, an electricity-to-hydrogen production safety operation constraint equation and an electric power balance constraint equation, establishing an electric-hydrogen energy system dispatching model with the lowest operating cost of the electric-hydrogen energy system within the dispatching cycle as an objective function, and solving the electric-hydrogen energy system dispatching model to obtain an optimal dispatching result. As compared with the prior art, the present invention can effectively solve the problem of coordination between electric and hydrogen energy flows, while taking into account the flexibility of electric and hydrogen loads, further providing additional flexibility to the operation of the system.

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: 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: 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: 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: 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: Disclosed is a charging station capable of realizing mutual capacity aid, which comprises a plurality of charging units, a power bus and a mutual capacity aid bus. Each charging unit is powered by the power bus, and each charging unit provides mutual aid capacity for another charging unit through the mutual capacity aid bus or receives mutual aid capacity from other charging units through the mutual capacity aid bus. The charging station can realize rapid charging of electric vehicles, and can also realize mutual capacity aid.

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.