283 results about "Electrical engineering technology" patented technology

The invention relates to the technical field of electrical engineering, and provides an electric energy storage system optimization scheduling method and system based on reinforcement learning, so as to solve the problems that it is difficult to effectively evaluate and control the battery aging risk in the frequent charging and discharging process and it is difficult to meet the real-time scheduling requirement in the edge side low computing power environment. The method comprises the steps of obtaining battery charging state and health state data in an electric energy storage system and power grid load and power grid electricity price data of an industrial and commercial park, and generating a state input data set; using the reinforcement learning agent to obtain a charging and discharging scheduling instruction; performing power distribution on the electric energy storage system, the multi-port converter power interface and the park load to generate multi-source cooperative power flow data; in combination with historical operation data, a reinforcement learning agent is utilized to optimize the charging and discharging scheduling instruction; and performing optimal scheduling of the electric power energy storage system according to the optimized instruction. According to the invention, efficient, intelligent and adaptive optimization scheduling of the power energy storage system in the industrial and commercial park is realized.

The invention discloses a junction temperature prediction method based on SiC MOSFET turn-off loss, and belongs to the technical field of power electronics and electricians. The junction temperature prediction method combines a turn-off loss model with a junction temperature prediction model based on turn-off loss, and comprises the following steps: firstly, establishing a SiC MOSFET turn-off loss model considering parasitic parameters, secondly, establishing the junction temperature prediction model based on the SiC MOSFET turn-off loss in an off-line manner, and then, calculating the turn-off loss on line according to the loss model. And finally substituting the loss data into the junction temperature prediction model to obtain a junction temperature prediction value. According to the method, the turn-off loss and the junction temperature of the SiC MOSFET under different working conditions can be predicted, and the method has the advantages of being high in real-time performance, easy to implement, high in model precision and the like; and an efficient and accurate solution is provided for thermal evaluation and junction temperature prediction of the silicon carbide power device.

The invention discloses a power distribution network hierarchical cooperative operation control method for distributed photovoltaic local absorption, relates to the technical field of electrical engineering, and aims at solving the problem of local electric energy absorption of a power distribution area containing a large amount of distributed photovoltaic and flexible resources. Global scheduling is carried out on flexible resources and distributed photovoltaic in a transformer substation area on the basis of a day-ahead-day centralized optimization strategy and hierarchical-partition coordination control, an optimization result is applied to a real-time control stage, and optimized scheduling instructions are distributed from top to bottom; and the optimal operation of distributed photovoltaic local absorption in the transformer area is realized. Therefore, by adopting the power distribution network hierarchical collaborative operation control method for distributed photovoltaic local consumption, a novel power system in a complex operation mode can be accurately analyzed, and the photovoltaic consumption capability of the power distribution network is improved by collaborative optimization of flexible resources and an operation scheme of a distributed power supply; and the operation economy of the novel power system is improved.

The invention discloses a cable insulation space charge simulation method and device based on aging factor coupling, and relates to the technical field of electrical engineering. The method comprises the following steps: establishing a bipolar carrier charge transport model, wherein model parameters comprise a detrapping coefficient and a diffusion coefficient; sampling the cable insulation, and measuring the isothermal relaxation current of the sample to calculate the aging factor of the sample; measuring the actual carrier mobility of the sample by using a time-of-flight method; a detrapping coefficient is updated based on the aging factor, a diffusion coefficient is updated based on the actual carrier mobility, and an aging factor coupling type insulation charge transport model is obtained; and carrying out numerical solution on the aging factor coupling type insulation charge transport model to obtain simulation data of space charge distribution and local electric field change of cable insulation. According to the technical scheme, space charge distribution and local electric field change of cable insulation are accurately simulated, and scientific evaluation can be provided for the aging state of cable insulation.

The invention relates to the technical field of virtual simulation and electrical engineering, in particular to an electrical simulation interaction method and system based on quantum prediction, and the method comprises the steps: generating holographic mapping data through loading three-dimensional simulation model data and electrical schematic diagram data, and carrying out the initialization; after capturing user interaction operation data, analyzing and generating optimized path data through a quantum heuristic prediction model, and adjusting the states of a model unit and an electrical primitive in real time; the simulation result data is used for state verification and feedback analysis, adjusting model parameters and optimizing path selection; fault-tolerant adjustment data is generated through virtual sandbox verification, a prediction model and holographic mapping data are updated, and self-learning optimization is achieved; according to the invention, the real-time performance, the response efficiency and the system adaptability of interaction are improved, and the method is suitable for demonstration and simulation of the electrical principle in education and engineering application.

The invention discloses a ship ladder braking and lift car leveling safety state monitoring system based on digital twinning, which relates to the technical field of mechanical and electrical engineering, and comprises a system integrated leveling monitoring module, which adopts a salt mist resistant fiber grating displacement sensor and a magnetic railing ruler-Hall array closed loop verification mechanism and is combined with an anti-corrosion stay wire encoder; high-precision leveling detection is realized; the vibration signal separation module effectively recognizes braking abnormity through a triaxial accelerometer and a self-adaptive signal processing technology; a dynamic twin adaptive engine is fused with the ship ladder dynamic model and a transfer learning algorithm, and control parameters are adjusted in real time; and the cross check logic module automatically reconstructs data when the sensor is abnormal, so that the reliability and the fault-tolerant capability of the system are ensured. According to the invention, the berthing position error of the lift car is controlled within a safety range under different loads, speeds and sea conditions of the ship ladder, so that the riding comfort and safety are improved.

The invention relates to the technical field of electrical engineering, and discloses a converter valve short-circuit current test system and method, and a generator branch in the system comprises a short-circuit generator, a short-circuit control unit and a bidirectional thyristor valve; one end of the generator branch is connected to one end of the sample valve through the short circuit control unit and the bidirectional thyristor valve in sequence; the other end of the sample valve is connected to the other end of the generator branch; the capacitor branch is arranged at two ends of the sample valve in parallel; the capacitor branch comprises a short-circuit valve body control unit, a capacitor bank and a direct-current power supply; one end of the short-circuit valve body control unit is connected to one end of the sample valve, and the other end is connected to the other end of the sample valve through the capacitor bank; the direct-current power supply is arranged on the capacitor bank in parallel; according to the invention, independent decoupling adjustment of the alternating current component and the direct current component of the short-circuit current is realized, and the test requirements on the gradually increased peak value of the short-circuit current, the thermal capacity and the short-circuit current containing the high-proportion direct current component are met.

The application is suitable for the electrical engineering technical field, and provides a high-voltage switch cabinet plum blossom contact contact state evaluation method, device and terminal equipment, the high-voltage switch cabinet plum blossom contact contact state evaluation method comprises the following steps: calculating the temperature rise limit value of the plum blossom contact under the current operating condition according to the equipment operating parameter of the high-voltage switch cabinet;Determine the minimum limit value of the contact pressure of the single contact finger of the plum blossom contact;Calculate the maximum limit value of the contact pressure of the single contact finger of the plum blossom contact;Based on the temperature rise limit value, the minimum limit value and the maximum limit value of the contact pressure of the plum blossom contact, the plum blossom contact contact state evaluation criterion is established.The application utilizes the contact state evaluation criterion, can effectively guide the equipment operation and maintenance personnel to carry out equipment operation and maintenance, and ensures the safe and good operation of the plum blossom contact.

The invention discloses a distributed energy storage charging multifunctional cooperative control method and system, and relates to the technical field of electrical engineering. The method comprises the steps of collecting original data of a power grid side, an energy storage side, a charging side and a photovoltaic side, performing abnormal value elimination, protocol conversion and data compression processing on the original data, and outputting standardized data; based on the standardized data, firstly performing energy storage safety hard constraint check to determine a safety state, then performing scene threshold adaptation according to a power grid load rate and a user charging emergency degree to output a scene type and basic charging power, and then generating a preliminary power instruction through a lightweight reinforcement learning algorithm; and finally, performing compliance judgment on the initial power instruction, and outputting a final power instruction. According to the invention, a closed-loop control architecture of data acquisition, dynamic decision, power execution and feedback correction is constructed to balance the three-party requirements of the power grid, charging and energy storage, so that the effects of improving the interaction reliability of the power grid and the charging experience of a user are achieved.

The invention discloses a method and system for improving the small disturbance stability of a converter grid-connected system, and relates to the technical field of electrical equipment and electrical engineering, and the method comprises the steps: respectively constructing sequence impedance models of a network-following converter and a network-constructing converter in the converter grid-connected system; the method comprises the following steps: acquiring voltage and current information of a grid-connected part in a grid-connected converter grid-connected system, and analyzing the stability of the grid-connected converter grid-connected system by adopting an impedance analysis method based on a sequence impedance model of the grid-connected converter; according to a stability judgment result, when the system is unstable, connecting the network-forming converter, enabling modulation voltage waveform information in a control link of the network-forming converter to pass through a feed-forward link of the network-forming converter so as to support a control loop of the network-forming converter, and combining a sequence impedance model of the network-forming converter, so as to obtain the stability of the network-forming converter. Constructing a sequence impedance model of the supported following grid type converter; and based on the supported sequence impedance model, an impedance analysis method is adopted to verify the improvement of the stability of the grid-connected system of the grid-connected converter.

The invention discloses an amorphous alloy motor operation efficiency monitoring method and system based on artificial intelligence, and relates to the technical field of electrical engineering, the system is composed of a plurality of functional modules, and the system comprises a multi-dimensional data acquisition module for acquiring motor operation multi-field coupling parameters, environment condition data and motor operation multi-field coupling parameters; comprise electrical coupling parameters, thermal coupling parameters and mechanical coupling parameters; the edge calculation module is used for preprocessing motor operation multi-field coupling parameters and environment working condition data, introducing multi-field coupling features and extracting multi-dimensional features and multi-sensor time sequence features; and the cloud artificial intelligence analysis module constructs a dynamic mapping model based on historical motor operation data by adopting an improved LSTM and Attention mechanism and fusing a Transform architecture, inputs multi-dimensional features into the dynamic mapping model, outputs an energy efficiency level, and fuses multi-sensor time sequence features by using a graph neural network based on the energy efficiency level.

The invention discloses a power grid impedance identification method based on model reference self-adaption, and belongs to the technical field of electrical engineering. The method comprises the steps of establishing a reference model, and adopting integral control to iterate the reference model. A three-phase grid-connected current estimation value is obtained by establishing a reference model, the three-phase grid-connected current estimation value tracks the sampled three-phase grid-connected current through integral control, and power grid impedance parameters in the reference model are iterated. And when the three-phase grid-connected current estimation value is consistent with the sampled three-phase grid-connected current, the iterative power grid impedance parameter in the reference model is the final power grid impedance identification value. According to the method, active injection harmonic disturbance is not needed, a complex signal processing method is not needed, grid-connected current control is not affected on the basis, and the power grid impedance identification result is accurate.

The invention relates to a flexible DC converter based on a virtual synchronous motor, and a control method and system, and belongs to the technical field of electrical engineering. When an AC system fails, an active amplitude limiting coefficient, a reactive amplitude limiting coefficient and a current amplitude limiting coefficient are obtained through an AC voltage amplitude; multiplying the positive and negative active amplitude limiting coefficients by the rated power of the converter to obtain upper and lower limits of an active power reference value of an active virtual rotating speed control ring controlled by the virtual synchronous motor; multiplying the positive and negative reactive power amplitude limiting coefficients by a reactive power output upper limit of the system to obtain an upper limit and a lower limit of a reactive power reference value of a reactive power droop control ring controlled by the virtual synchronous motor; and multiplying the current amplitude limiting coefficient by the maximum allowable current set value during normal operation to obtain the upper limit of the current reference value of the current inner loop controlled by the virtual synchronous motor. The converter can also operate in a network construction type control mode during a fault period, and the maximum operation capability of equipment is exerted to support transient and steady stable operation of an alternating current power grid.

The invention discloses a new energy power system line blocking early warning method based on a yoke model, and belongs to the technical field of electrical engineering, and the method comprises the steps: S1, segmenting the historical data of a new energy power system through a Gaussian mixture model based on an improved sequence, and obtaining a classification result, carrying out matching processing on Gaussian samples in the classification result to obtain a Gaussian distribution sequence; s2, performing correlation decoupling on the Gaussian distribution sequence by using a yoke model to obtain a reduction matrix and an independent distribution sequence; s3, simulating the independent distribution sequence to generate an independent sampling sample, and restoring the independent sampling sample into a feature sampling sample meeting classification result distribution features through a restoration matrix; and S4, performing early warning based on the prediction error interval obtained by the feature sampling sample and the constraint condition of the new energy power system. The technical problem of low line congestion prediction accuracy caused by the fact that the evolution rule of prediction errors along with time is not considered is solved, and the accuracy of line congestion prediction is remarkably improved.

The invention belongs to the technical field of electrical engineering, and discloses a power distribution network source-network-storage multi-resource collaborative optimization method and system, and the method comprises the steps: segmenting the estimated fault repair time, obtaining an SOP control mode and the number of uncharged islands in each time period, and carrying out the optimization of the SOP control mode and the number of uncharged islands; and constructing a controllable power supply-new energy coordinated micro-grid partition model taking recovery of total load power as an optimization target and taking various resource constraints as conditions, and solving to obtain SOP opening and closing states in each time period as a fault recovery scheme. According to the method, various flexible resources such as distributed new energy, a controllable power supply and stored energy in a future power distribution network are fully considered, and optimization and coordination of the resources in fault recovery are realized through segment processing and model construction. By adopting the method, the problem that the existing fault recovery means cannot comprehensively consider various resources is effectively solved, various flexible power generation resources can be more reasonably integrated, the recovery effect of the power distribution network after the fault is effectively improved, and the influence caused by power failure is reduced.

The invention belongs to the technical field of electrical engineering, and particularly relates to a dynamic intelligent control method and system for a variable-frequency speed regulation system, and the method comprises the steps: in the offline stage of the system, automatically setting the total rotational inertia and the optimal compensation gain of the system through injecting a test torque and monitoring critical oscillation; in the online operation stage, active electromagnetic power is calculated by collecting bus voltage and current, theoretical inertia power is calculated by combining mechanical angular velocity, and the difference value of the active electromagnetic power and the theoretical inertia power is used as a disturbance power observation value after low-pass filtering; a singular-point-free equivalent angular velocity is constructed by using a set minimum effective rotating speed threshold value, disturbance power is converted into disturbance torque, and the zero-division singular problem of a low-speed region is effectively avoided; and calculating a compensation current, carrying out dynamic amplitude limiting according to the residual current margin of the frequency converter, and superposing the residual current to a speed ring for output. According to the method, the problem of calculation divergence of traditional power disturbance observation in a low-speed region is solved, and disturbance suppression and robust control in a full-speed region are realized on the premise of ensuring system safety.

The invention relates to the technical field of ship electrical engineering, and particularly discloses a ship electrical equipment damping type protection box body which comprises an equipment protection box. An adjusting mechanism is installed in the middle of the bottom box wall of the equipment protection box, a damping seat is installed at the top end of the adjusting mechanism, and a damping mechanism is jointly installed between the periphery of the bottom end of the damping seat and the periphery of the bottom box wall of the equipment protection box. Through cooperative work of the adjusting frame, the adjusting cavity, the driving mechanism, the adjusting plate, the adjusting spring and the buffering mechanism, the vibration intensity and frequency of the ship electrical equipment are sensed in real time through the vibration sensor, signals are transmitted to the controller, the controller commands the driving mechanism according to the vibration condition, then the compression amount and rigidity of the adjusting spring are changed, and the ship electrical equipment is adjusted. The dynamic adjustment mechanism enables the protection box body to automatically adapt according to different vibration working conditions, the stability and reliability of the ship electrical equipment under complex sea conditions are remarkably improved, the equipment failure rate is reduced, and the service life of the equipment is prolonged.

The invention discloses a dynamic parameter optimization system for electrical equipment, and relates to the technical field of electrical engineering, the dynamic parameter optimization system comprises an acquisition module, an identification module, an optimization module and a regulation and control module, the acquisition module is used for acquiring multi-dimensional parameters and transmitting the multi-dimensional parameters to the identification module for parameter extraction; the first parameter and the second parameter as well as a corresponding first parameter change range and a corresponding second parameter change range are obtained and transmitted to an optimization module, the first parameter and the first parameter change range are analyzed and processed to obtain a first optimization result, and the second parameter and the second parameter change range are analyzed and processed to obtain a second optimization result; and transmitting the first optimization result to a regulation and control module, carrying out first regulation and control on the first optimization result to obtain a first regulation and control result, carrying out second regulation and control according to the second optimization result to obtain a second regulation and control result, constructing an efficiency-stability double-target system through multi-dimensional parameter fusion and intelligent regulation and control, dynamically adjusting parameters, carrying out safety verification and closed-loop feedback, and carrying out intelligent regulation and control. The energy efficiency and stability of equipment are improved.

The invention relates to the technical field of electrical engineering, in particular to an online fault diagnosis method and system for a cable and accessories thereof, and the method comprises the steps: constructing a target function of an inversion model based on the distance from any unit in the inversion model to a measurement point of the cable and the accessories thereof; determining a sensitivity matrix of the inversion model based on the stiffness matrix corresponding to the temperature field of the cable and the accessory thereof; determining initial heat source distribution of the cable and accessories thereof based on the sensitivity matrix and the objective function; determining initial temperature distribution of the cable and accessories thereof based on the initial heat source distribution by adopting a forward modeling model; iteratively updating the initial heat source distribution based on a temperature difference value between the initial temperature distribution and the measured temperature distribution until target heat source distribution meeting a preset condition is obtained; and performing fault diagnosis on the cable and the accessories thereof based on the target heat source distribution and the forward model. According to the method, fault diagnosis of the cable and the accessories thereof can be accurately realized, and the accuracy of fault diagnosis of the cable and the accessories thereof is improved.

The invention provides a design and application method of a sliding-mode deadbeat reaching law, and relates to the technical field of electrical engineering, and the method comprises the steps: designing a sliding-mode deadbeat reaching law SMDRL, designing a control strategy through a deadbeat control principle, defining a state change law on a sliding-mode surface through a sign function, and achieving the design of the sliding-mode deadbeat reaching law SMDRL. It is ensured that the system state converges to the sliding mode surface at the fastest speed in a control period; an improved sliding mode deadbeat reaching law ISMDRL is designed, a traditional sign function is replaced with a hyperbolic tangent function, and parameters of the hyperbolic tangent function are adjusted according to the system state; the SMDRL and the ISMDRL are applied to a speed driving system of a permanent magnet synchronous motor (PMSM), and the speed driving system comprises a PMSM mathematical model, a sliding mode speed controller with a speed disturbance observer and model prediction current control. The SMDRL is introduced from the traditional sliding mode reaching law for the first time through theoretical derivation, the convergence time of the SMDRL is the shortest, and the SMDRL is applied to a permanent magnet synchronous motor speed driving system.

The present invention relates to the technical field of building electrical engineering. Provided is a moisture-proof distribution cabinet for building electrical engineering. The moisture-proof distribution cabinet for building electrical engineering comprises a cabinet body, a supporting mechanism, a positioning mechanism, a dust screen and a dehumidifying mechanism, wherein the dehumidifying mechanism moves back and forth on the upper part inside the cabinet body; the positioning mechanism grips and fixes the dust screen by means of two clamping plates that move towards each other; the supporting mechanism adjusts the height of the cabinet body by means of four supporting legs capable of telescopic movement; and the inner bottom of the cabinet body is provided with a connecting frame, a moisture-proof plate and absorbent cotton are slidably inserted into the connecting frame, and a heat conduction plate for drying the moisture-proof plate and the absorbent cotton is further provided inside the connecting frame. In the present invention, by means of the dehumidifying mechanism moving back and forth on the upper part inside the cabinet body, the dehumidification range is expanded; and the supporting mechanism is provided, which can be driven by a second electric motor to adjust the height of the cabinet body, thereby preventing long-term intrusion of moisture.

The invention discloses a deployment optimization method and system for a mobile ice melting device, and belongs to the technical field of electrical engineering. The method comprises the following steps: acquiring line parameters of an iced line; according to the rated parameters of the mobile ice melting device, respectively calculating ice melting current under the first ice melting mode and the second ice melting mode, and respectively calculating ice melting time under the first ice melting mode and the second ice melting mode by combining the line parameters of the ice-coated line and a Bolgers-Dov empirical formula; setting an optimal ice melting knife gate switching mode under the first ice melting mode and the second ice melting mode, and solving the shortest ice melting time according to the ice melting time under the first ice melting mode and the second ice melting mode; and solving the minimum total ice melting time length, and selecting the mobile ice melting device corresponding to the minimum total ice melting time length to realize deployment and deployment optimization of the mobile ice melting device. The movable ice melting device is timely allocated to the station, ice melting work is timely carried out, and serious accidents of line breaking and tower falling caused by further expansion of ice disasters are avoided.

The invention relates to the technical field of electrical engineering, in particular to a cable bridge cutting device for electrical engineering installation, which comprises a fixed bracket, a clamping assembly is arranged on the fixed bracket, and the clamping assembly comprises two groups of first clamping pattern plates which are symmetrically distributed; the cutting assembly is arranged on the fixed bracket, is used for cutting the cable bridge, and comprises a cutting bracket; the polishing assembly is used for polishing the notch of the cable bridge and comprises a polishing roller which is rotationally arranged; a second motor and a first transmission lead screw drive a storage plate to move to the position below the side wall of one side of the cable bridge, then a fourth motor is started to drive two sets of grinding rollers to rotate to be perpendicular to the side wall of the cable bridge, then through lifting of a second electric telescopic rod, the two sets of grinding rollers are located on the two sides of the side wall of the cable bridge, and then a fifth motor is started to grind the cable bridge. And a fifth motor drives grinding rollers to rotate to grind the side wall of the cable bridge to the corner, and through rotation of a fourth motor, the two sets of grinding rollers are driven to conduct angle adjustment.

The invention discloses a network construction-following network energy storage hybrid power station control method and system, and belongs to the technical field of electrical engineering, and the control method comprises the steps: constructing a network construction-following network energy storage hybrid power station and grid-connected state space structure model based on the circuit topology and control strategy of the network construction-following network energy storage hybrid power station; constructing an H-infinity robust controller based on a state space structure model of the network construction-network following energy storage hybrid power station and grid connection; solving the H-infinity robust controller to obtain a to-be-solved matrix required by the H-infinity robust controller; verifying that a to-be-solved matrix required by the H-infinity robust controller meets the performance condition of the system; and outputting an H-infinity robust controller meeting the system performance, wherein the H-infinity robust controller is used for controlling the network construction-network following energy storage hybrid power station. According to the method, the state space structure model is constructed, the H-infinity robust controller is designed, the robustness of the system is remarkably enhanced, and the method has obvious advancement in the aspect of adaptability of a complex power system.

The invention discloses a confluence terminal and a power distribution module, and relates to the technical field of electrical engineering, the confluence terminal comprises a body, the body is provided with a first bending arm and a second bending arm, and the first bending arm is connected with the second bending arm; an extension section is convexly arranged at one end, far away from the second bending arm, of the first bending arm, and is connected with the first bending arm; wherein the extension section is provided with a connecting part, and the connecting part is used for connecting the body and the busbar; the second bending arm is provided with a welding pin in a protruding manner, and the welding pin is used for connecting a circuit board. According to the technical scheme, the problems that in an existing low-voltage relay large-scale matrix, the fixing mode of the bus bar and the circuit board is restrained by the bus bar terminal, the circuit board needs to be maintained or replaced frequently, the bus bar and the circuit board can be fixed in one direction generally, and the cost is low can be solved. And the bus bar needs to be disassembled firstly and then the circuit board needs to be disassembled reversely during replacement and maintenance of the circuit board, so that the assembly convenience and the later maintenance performance are greatly influenced.

The invention belongs to the technical field of electrical engineering, and particularly relates to a power distribution network simulation deduction and load regulation and control method based on Internet of Things data, which comprises the steps of acquiring multi-source Internet of Things data and performing timestamp checking, topology consistency deduction and cross-source error reforming to form a standardized power grid state data set; constructing a cross-scale operation feature based on the data set, generating a panoramic operation situation through topology and time sequence alignment, inputting the panoramic operation situation into a reinforcement learning agent, executing exploration in a simulation environment to generate an extreme compound fault scene, extracting risk severity from the scene, constructing a risk evolution path, and obtaining a risk evolution result; the method comprises the steps of identifying key induction nodes and easy-to-diffuse links, constructing a defensive load regulation and control strategy oriented to a causal chain, performing multi-working-condition simulation verification on the strategy, constructing an optimized regulation and control strategy set based on simulation deviation, and driving a power distribution network control system to execute load regulation and control actions so as to improve system stability and risk suppression capability.

The utility model provides a conductive connecting device for electrical switch equipment, which belongs to the technical field of electrical engineering and comprises two groups of clamping assemblies used for fixing cables. The supporting assembly is used for supporting all parts in the clamping assembly and is arranged in an inner cavity of the clamping assembly; and the moving mechanism comprises a lifting assembly which is used for limiting the vertical moving range of the clamping assemblies so as to adapt to different cable port positions, the moving mechanism is arranged at a wiring groove below the low-voltage power distribution cabinet, and the two clamping assemblies are arranged on the surfaces of the two sides of the lifting assembly respectively. According to the utility model, through cooperation of all parts in the fixing mechanism, a cable can be firmly clamped, tight connection is ensured, contact resistance is reduced, heating and fault risks are reduced, stable operation of electrical equipment is ensured, and the fixing mechanism can be controlled to vertically move to a suitable connection height through the moving mechanism according to positions of end portions of different cables. And the clamping block can be aligned with the end part of the cable.

The application relates to the technical field of electrical engineering, in particular to an intelligent power measuring device for generator control, which comprises a generator, a power detector is arranged on one side of the generator, a connecting hole is formed in one side of the power detector, a connecting line is fixedly connected to the generator, the other end of the connecting line is used for being connected with the power detector, a connecting column is fixedly connected to the inside of the power detector, the connecting column is located on one side of the connecting hole, a rotating plate is sleeved on the connecting column, one end of the rotating plate is rotationally connected with the connecting column, the other end of the rotating plate is fixedly connected with a fixing column, and the fixing column is used for winding the connecting line on the connecting column; when the connecting line on the generator is connected with the power detector, the connecting line can be automatically wound on the connecting column under the action of the fixing column.

The application discloses a kind of distributed photovoltaic in-situ consumption power distribution network hierarchical collaborative operation control method, it is related to electrical engineering technical field, including for the power consumption problem of a large number of distributed photovoltaic and flexible resource in power distribution area, based on day-ahead-intra-day centralized optimization strategy and hierarchical-zoning coordinated control, flexible resource and distributed photovoltaic in substation area are globally scheduled, and the optimization result is applied to real-time control stage, from top to bottom for the distribution of optimized scheduling instruction is allocated, the optimal operation of in-situ consumption of distributed photovoltaic in area is realized.Therefore, using the above-mentioned distributed photovoltaic in-situ consumption power distribution network hierarchical collaborative operation control method, new type power system under complex operation mode can be accurately analyzed, the operation scheme of flexible resource and distributed power supply is optimized by collaborative optimization, the photovoltaic consumption capacity of power distribution network is improved, and the operation economy of new type power system is improved.

The utility model provides a cable bridge capable of being quickly assembled and disassembled, which belongs to the technical field of electrical engineering, aims to solve the problem that the existing cable bridge is relatively complicated to assemble and disassemble, and comprises a cable bridge box which is of a rectangular groove-shaped structure with a plurality of elliptical through holes formed in the front end surface and the rear end surface; the two quick connection assembly shells are arranged at the upper end parts of the front and rear end surfaces of the cable bridge box respectively; the unlocking button is movably connected to the end face of the outer side of the quick connection assembly shell; the upper end part of the box cover hinge is fixedly arranged on the lower end surface of the rear end part of the bridge box cover; the hinge supporting beam is fixedly arranged on the lower end face of the box cover hinge; the quick connection assemblies are arranged in the four quick connection assembly shells; and the protection assembly is arranged on the end face of the cable bridge box. The utility model has the comprehensive advantages of high-efficiency installation and maintenance, enhanced protection performance, flexibility and adaptability.