234 results about "Electric distribution network" patented technology

The invention relates to a power distribution network optimal configuration method for a high-proportion distributed new energy access scene, and the method comprises the steps: obtaining the basic data of a power distribution network, and constructing a bearing capability evaluation index system; a robust optimization evaluation model considering the uncertainty of the source load is constructed, and the critical bearing capacity is solved in combination with a bearing capacity evaluation index system; based on the critical bearing capacity, energy storage, SOP intelligent soft switching and DR demand side response are sequentially configured, an updated power distribution network state is obtained, whether convergence conditions are met or not is judged, and if yes, an optimal configuration scheme including current energy storage, SOP and DR configuration and the current critical bearing capacity is output; otherwise, returning to re-optimize. Compared with the prior art, the power distribution network can safely and efficiently consume the high-proportion distributed new energy, and the bearing capacity of the power distribution network is effectively improved.

The invention relates to an alternating-current trunk line or an alternating-current power distribution network, in particular to a method for improving the stability of a wind power system through combined control of network construction type energy storage and a nine-switch UPQC. The method comprises the following steps: firstly, proposing an active regulation and inertial support control method based on a virtual synchronous machine mechanism for network construction type energy storage; and secondly, by constructing a coordination control framework, dynamic response complementation of the energy storage system and the UPQC under disturbance is realized, so that the overall frequency stability and voltage supporting capability of the system are improved. And finally, building a system model in Matlab / Simulink, setting three typical working conditions of wind power fluctuation, frequency disturbance and serious voltage drop, and carrying out scheme validity verification. Simulation results show that the method can effectively stabilize the wind power output fluctuation, enhance the frequency and voltage support capability, and significantly improve the stability of a wind power system.

The invention discloses a circuit breaker rigid regulation and control method and system based on a load monitoring terminal, and relates to the technical field of electric power automation, and the method comprises the following steps: S1, obtaining a unified nanosecond time base line, continuously collecting current signals of a plurality of loops, reconstructing a complete phase track of each loop current, generating a corresponding low-frequency lag fingerprint base line, and carrying out the collection of the low-frequency lag fingerprint base line; the reference basis is used for dynamic response correction; and S2, constructing a causal playback chain based on the low-frequency hysteresis fingerprint baseline, replaying a current transition behavior in the rigid regulation and control process of the circuit breaker, identifying a nonlinear hysteresis section, and extracting a threshold drift core parameter. According to the method, the current phase is reconstructed through the nanosecond-level time base, the lagging characteristics are extracted, the causal playback and energy coupling model is constructed, threshold double-track generation and time sequence correction are achieved, lagging energy is dissipated in combination with a phase conjugate instruction, the regulation and control precision and stability of a circuit breaker are improved, and the safety and the intelligent level of a power distribution network are enhanced.

A method and system for deep learning-based automated detection of vegetation encroachment in overhead power distribution networks. A deep learning model can be used to detect vegetation encroachment in preprocessed images and frames and deep learning explainability tools can be used to identify irrelevant objects in the images that contribute to misclassification.

The invention relates to the technical field of transformer substation monitoring, and discloses a power supply and distribution safety monitoring method and system for a transformer substation. The method comprises the following steps: acquiring various data in a transformer substation, and performing time synchronization calibration on the three types of data; dividing a power supply and distribution operation mode into a steady-state mode, a transient mode and an overload mode based on the calibrated data, extracting a harmonic distortion rate, a dielectric loss angle tangent value and a vibration spectrum entropy value of a current waveform in each mode, and generating an operation characteristic matrix; detecting an operation mode switching event, and calculating a characteristic offset between modes; decomposing a degradation characteristic component in the operation characteristic matrix according to a matching degree between an insulation aging stage and current dielectric loss data in a historical fault case library; coupling compensation correction is performed on the degradation characteristic component in combination with the cross influence relationship between the electrical parameters and the mechanical parameters of the equipment; and reversely tracing the abnormal signal source equipment node along the topological structure of the power supply and distribution network based on the corrected degradation characteristic component, and outputting an equipment maintenance sequence.

The invention discloses an intelligent switching control method and system for a double-voltage automobile generator, and relates to the technical field of automobile electrical control, and the method comprises the following steps: S001, constructing a frequency response baseline of an automobile power distribution network, and calibrating an inductance parameter of a wiring harness and a capacitance parameter of a filter based on frequency response measurement data; and generating an inherent frequency distribution diagram for reflecting the dynamic electrical characteristics. According to the method, the frequency response base line and the harmonic characteristic spectrum are constructed, so that accurate identification and dynamic prediction of the resonance risk are realized; avoiding the inherent frequency by adopting a multi-level control frequency planning strategy; virtual impedance and an active damping mechanism are introduced to improve the switching stability; and closed-loop optimization control is constructed in combination with residual signal feedback, and continuous convergence of the control performance is realized. According to the overall scheme, the stability, robustness and electromagnetic compatibility of the voltage switching process are improved, and safe operation of the double-voltage architecture under complex working conditions is guaranteed.

The invention discloses an energy storage type intelligent soft switch double-layer optimization site selection method based on improved whale algorithm and second-order cone programming cooperation, and belongs to the technical field of power distribution networking and optimization operation, and the method comprises the steps: collecting and preprocessing the basic data of a power distribution network; a double-layer optimization model with the minimum daily operation cost of the system as the target is established, the upper layer takes the installation position of the energy storage type intelligent soft switch as a decision variable, and the lower layer takes the three-port power transmission value as a decision variable and constructs constraints based on the power flow equation after second-order cone relaxation and the energy storage operation limitation; an upper layer site selection problem is solved by adopting an improved whale optimization algorithm introducing a self-adaptive inertia weight, a lower layer operation problem is solved by adopting a second-order cone programming method, and collaborative optimization is realized through double-layer interaction. According to the method, global collaborative optimization of planning and operation is realized, the solving precision and efficiency of the site selection problem are improved, and the system operation cost and the network loss are effectively reduced.

The invention discloses a range-extended electric aircraft power distribution system and a construction method, and the system constructs a graded power distribution network comprising four stages of protection devices through distributing different windings of a multi-winding motor to different load modules and combining the design of dual power sources of a battery pack and a range extender; by means of the design, independent power supply and fault isolation of winding power are achieved, and it is ensured that power is not completely lost under a single fault; and the dual power sources are backups for each other through an interconnection line, so that the power supply reliability is improved, and the power distribution at different flight stages is optimized. By adopting the technical means of multi-winding motor design and four-stage grading circuit protection, the technical problem that the safety and reliability of a power system of an electric aircraft are insufficient due to a single power supply or a motor fault is solved.

The invention relates to a rural power grid power distribution intelligent monitoring and fault positioning system based on edge calculation. The system comprises a data acquisition and preprocessing module used for acquiring time sequence data of each edge node of the power distribution network based on a unified protocol and performing standardization processing on the time sequence data to obtain standard time sequence data; the fault feature analysis module is used for analyzing abnormal features of the voltage and the current based on a preset fault detection model according to the standard time sequence data to obtain fault feature data; the preliminary fault positioning module is used for calculating probability distribution of a fault position based on a preset fault positioning model according to the fault feature data and the topology identifier to obtain preliminary fault positioning data; and the fault positioning correction module is used for correcting a fault positioning result according to the initial fault positioning data and the operation environment parameters to obtain a fault positioning result. By adopting the system, the detection capability and positioning precision of early weak fault features can be improved, and the system adapts to rural power grid complex environments and resource limited conditions.

The invention discloses an intelligent power distribution network adaptive power-saving regulation and control method based on dynamic load prediction, and the method comprises the steps: 1, collecting the power load data of each user, the current and voltage data of a power distribution line, and local meteorological data in real time through a data collection device, and carrying out the data cleaning and preprocessing of the collected data; step 2, a dynamic load prediction model is constructed by using the processed data, and the dynamic load prediction model can accurately predict future electrical load changes according to current moment data input in real time; 3, according to a prediction result of the dynamic load prediction model, regulating and controlling the optimal power supply voltage and the power distribution proportion of each distribution line and the operation state of a transformer in combination with the real-time operation state of the power distribution network; and step 4, by configuring a sensor in the power distribution network, continuously collecting data parameters of each node and the power utilization state and load change condition of each power utilization device, and then performing comparative analysis with the data before regulation and control.

A kind of single-phase grounding fault single-end impedance ranging method and system of DG-containing distribution line, method includes: input parameter and DG distribution to equipment, when single-phase grounding fault occurs in distribution network, the zero sequence voltage of equipment rises, it is judged that single-phase grounding fault occurs, and fault ranging calculation is started;Using symmetrical component method to obtain the sequence components of voltage and current at bus, DG access, load access and fault point;On the basis of the sequence components of voltage and current at fault point, the phase angle difference between line fault phase voltage and current is obtained, and the fault distance is calculated according to the phase angle difference.The ranging effect of the method of the application is very good, and it has practicality.

The invention provides a dynamic wireless power supply system transmitting end power distribution network and a switching control method thereof, and belongs to the technical field of wireless power transmission. The invention aims to solve the problems that a significant current is induced in a non-working guide rail due to coupling of adjacent guide rails in a parallel LCC compensation topology of a high-power dynamic wireless power supply system and a relatively large voltage and current peak is generated in a loop when a switch is switched. The transmitting end power distribution network comprises a transmitting end, a guide rail circuit, a rectifying circuit and a load. The switching control method comprises the following steps: dividing the work of a power distribution network of a transmitting end into a first working state to a fifth working state according to the on-off states of a main switch and an auxiliary switch, setting transmitting end and receiving end partial harmonic equivalent inductors of partial harmonic of the transmitting end and the receiving end, and adjusting the partial harmonic degree of the transmitting end according to the coupling degree between guide rails, and according to the input impedance of the transmitting end and the equivalent resonance impedance reflected to the transmitting end by the receiving end, adjusting the partial resonance degree of the receiving end, and repeating the working double tires to realize inversion soft switching.

The application relates to the technical field of smart power grids, in particular to a power distribution network battery digital dynamic management system based on digital twinning. The system comprises a data acquisition unit, a digital twinning modeling unit, a dynamic optimization unit and an execution feedback unit. The digital twinning modeling unit is used for constructing a multi-dimensional dynamic twin of a battery-power grid-environment, and realizes virtual-real bidirectional mapping and self-adaptive updating by combining a multi-physical field coupling model and a long short-term memory network time series prediction algorithm. The data acquisition unit is a distributed heterogeneous sensor network, which collects multi-dimensional operation data of battery groups and key nodes of a power distribution network, and generates a high-fidelity data set containing four-dimensional labels of battery states, power grid parameters, time and position by combining space-time feature extraction technology, so that deep fusion of battery full life cycle states and power distribution network global operation data is realized, and comprehensive data support covering the whole world is provided for optimization decision-making.

Method and system for DC power distribution for charging stations based on a chaotic topology. The invention relates to a method for DC power distribution for charging stations based on a chaotic topology, comprising: according to user requirements, establishing an initial chaotic topology distribution network for charging station power based on a matrix topology network (S1); using a Gaussian kernel function to extend one dimension of the initial distribution network to a high-dimensional surface to obtain a distribution network with multiple charging nodes (S2); based on the distribution network, the required energy of each charging point, and an energy distribution strategy, controlling the opening and closing of contactor switching units to direct the output energy from power conversion units (S3). Figure 1

A method for detection and localisation of a broken conductor within a Single Wire Earth Return (SWER) power distribution network is provided. The method includes: injecting, from one or more transmitters, a unique and continuous Zadoff-Chu Orthogonal frequency-division multiplexing (OFDM) signal for each transmitter into the network via a coupling circuit. A receiver continuously samples and demodulates the signals to detect the presence of transmitters, wherein detection of a signal is asserted by comparing the averaged cross-correlation signal peak for a particular transmitter and one or more channels in the OFDM scheme designated for estimating noise, as the loss of such signal indicating a broken conductor occurrence. Upon detecting a broken conductor occurrence, the method sends a trip signal to a switching device associated with the receiver to remove power from the system. The method further uses time or frequency reflectometry to estimate the broken conductor location in the network.

This invention discloses an ultra-high frequency partial discharge and temperature monitoring system for use in power distribution network systems, belonging to the field of smart grid facility condition monitoring technology. The system includes: a signal acquisition module for acquiring mixed signals via a main ultra-high frequency channel and interference reference signals via a mirror channel; an inversion compensation module for establishing interference propagation relationships and progressively reducing interference to obtain candidate pulses; a thermal response construction module for constructing a partial discharge thermal excitation coding sequence and generating an event-triggered thermal response matrix; a thermal memory extraction module for constructing an exponentially decaying thermal memory kernel and extracting thermal memory spectral features; a mapping solution module for inverting heat source parameters and thermal resistance distribution based on a reversible Fourier neural operator model; and an assessment and early warning module for generating the spatial distribution of heat sources, analyzing the defect evolution sequence, and outputting condition assessment and early warning information. This invention combines mirror interference compensation and a reversible Fourier neural operator model to achieve internal defect location and early warning in power distribution facilities.

The application provides a radial distribution network ultra-short time scale planning method, medium and system, belongs to radial distribution network planning technical field, and includes: establishing a simulated radial distribution network; setting the state of all line switches in the simulated radial distribution network as opening; calculating the current flowing through each line switch, recorded as switch current; selecting the line switch carrying the minimum current in each network loop, changing the state thereof from opening to closing, taking the line switch in the current closing state as a first switch set; selecting one line switch in the first switch set, and exchanging the state of a switch pair formed by the selected line switch and an optional line switch not in the first switch set in the network loop where the selected line switch is located; repeating the execution until no line switch pair capable of further reducing total power loss is found, finally determining the optimized line switch configuration, and outputting the same to operation and maintenance personnel for radial distribution network planning adjustment.

The invention provides an electric vehicle low-voltage power supply system, a fault isolation method and an electric vehicle, and relates to the field of electric vehicle low-voltage systems, and a power distribution network of the system comprises a safe load power supply branch, a non-safe load power supply branch and a redundant safe load power supply branch. The direct current conversion unit is connected with the non-safe load power supply branch, and the non-safe load power supply branch is electrically connected with one end of the safe load power supply branch through the main low-voltage energy storage power supply unit; and the other end of the safety load power supply branch is connected with the redundant safety load power supply branch through the redundant low-voltage energy storage power supply unit. According to the system, through collaborative design of the main low-voltage energy storage power supply unit, the redundant low-voltage energy storage power supply unit and the multi-branch power distribution network, independent power supply and dual-power-supply redundant backup of a safe load and a non-safe load are achieved, and the safety redundancy and fault handling capacity of low-voltage power supply of the electric vehicle are remarkably improved.

The utility model relates to electrical engineering and can be used to protect electromagnetic voltage transformers from ferroresonant oscillations occurring in voltage transformers in distribution networks with a voltage class of 6-10 kV, alternating current with a frequency of 50 Hz with an isolated neutral.In a device for protecting voltage transformers from ferroresonance phenomena, designed with the possibility of connecting to two terminals of auxiliary secondary windings of three single-phase transformers connected in an open-delta circuit, containing a series-connected RTS thermistor, a damping resistor and an electronic switching circuit with a threshold switching characteristic, which includes a switching element in the form of a triac, the control electrode of which is connected to a control circuit including a dinistor, two resistors and a capacitor, the control electrode of the triac is connected to the control circuit through a normally closed controlled key, the RTS thermistor is equipped with a temperature sensor connected to the controlled key, and the dinistor is selected to be symmetrical.Technical result: increasing the effective operating time of a device for protecting voltage transformers from ferroresonance phenomena in the presence of modes in the network accompanied by prolonged exposure to single-phase short circuits to ground by ensuring restoration of the original operating mode. 2 fig.

The invention discloses a power distribution network control method, device and equipment and a storage medium, and relates to the technical field of distributed control, and the method comprises the steps: determining a first control mode of a first coordination controller corresponding to a first distributed power supply in an AC sub-grid, and a second control mode of a second coordination controller corresponding to a second distributed power supply in the DC sub-grid. Determining a topology conversion control variable value according to the on-off state corresponding to the target intelligent switch and the system operation mode; adjusting the working frequency and the working voltage of the first distributed power supply based on the topological conversion control variable value and the first control mode; and adjusting the working voltage of the second distributed power supply based on the topological conversion control variable value and the second control mode. According to the technical scheme, the technical problem that in the prior art, when topology conversion is carried out on an alternating-current and direct-current hybrid power distribution system based on static topology, unwanted transient states can be generated, so that the operation flexibility of the system is reduced or cascade faults occur is solved.

The application provides a full-type power distribution automation equipment complete function self-adaptive debugging system and method, and relates to the field of power distribution automation.The system comprises a joint debugging device, which is used for sending a debugging request to a power distribution automation master station, receiving a debugging instruction sent by the power distribution automation master station, and sending voltage, current and switching value signals to a power distribution automation terminal; the power distribution automation master station is used for receiving the debugging request sent by the joint debugging device, sending the debugging instruction to the joint debugging device, receiving the debugging result information sent by the power distribution automation terminal, and sending the debugging success or debugging failure information to the joint debugging device; and the power distribution automation terminal is used for receiving the voltage, current and switching value signals, obtaining the debugging result information, and sending the debugging result information to the power distribution automation master station.The application effectively improves the point debugging efficiency of the power distribution terminal, realizes the early discovery and rapid elimination of the power distribution network fault, greatly improves the field operation and maintenance efficiency, and guarantees the safe and reliable operation of the power distribution network.

The invention discloses a power electronic load-containing load equivalence and parameter identification method, which comprises the following steps of: preprocessing original power load data, and extracting data required by subsequent parameter identification; determining a load model structure, and performing aggregation equivalence on the power distribution network, the static load, the dynamic load and the power electronic load according to a principle that system response before and after aggregation remains unchanged; the method comprises the following steps: firstly, constructing a load model, then determining parameters, needing to be identified, of each type of load model, distinguishing dominant parameters and non-dominant parameters by adopting trajectory sensitivity, setting values of the non-dominant parameters as typical values, then identifying the dominant parameters through an improved quantum particle swarm algorithm, determining the values of the dominant parameters, and finally, performing accuracy evaluation on the established load model. According to the invention, a more accurate load model can be established for a modern power system containing a power electronic load, the simulation precision of the power system is improved, and the analysis and control of a power department on the power system are facilitated.

There is provided a computer-implemented method for performing meter-to-transformer mapping in an electrical distribution network, comprising: obtaining (M1) measurements from an electricity meter at a plurality of time points; generating (M2) a sequence of meter data based upon the measurements, wherein the sequence of meter data is arranged in time order based upon the plurality of time points, and wherein the meter data within each entry of the sequence is generated based upon the measurements obtained at a respective one of the time points; providing (M3) the sequence of meter data to a machine learning model 100; generating (M4), by the machine learning model, ranking scores for each of a plurality of transformers; and selecting one of the plurality of transformers which has the highest ranking score for mapping with the electricity meter.

The application discloses a kind of electric truck super-charging facilities collaborative planning method considering traffic network-power grid interaction, according to the energy consumption heterogeneity characteristics of electric truck multi-type transport task, constructs charging demand space distribution model;Introduce node marginal electricity price mechanism, establish the charging station selection equilibrium model with the minimum total cost as target;Based on the theory of direct current optimal power flow model, construct the power distribution network operation model with the minimum total generation cost as target;Build electric truck super-charging facilities collaborative planning model considering traffic-power two network interaction, and carry out transformation processing to obtain several differentiable barrier sub-problems, and solve several differentiable barrier sub-problems using interior point method, obtain the super-charging facility optimization setting scheme of traffic network-power grid interaction.The application solves the collaborative optimization problem of charging facility deployment and power grid impact in the field of port collection and distribution during electric transformation, provides efficient and stable collaborative decision support for port electric truck charging network planning, and has significant application value.

This application relates to the field of power distribution network infrastructure technology and discloses an outdoor box-type substation, including a box shell. Exhaust fans are provided on both sides of the top of the box shell, and a static cyclone separator air inlet module is provided on the side wall of the box shell. A gravity flap valve is hinged to the bottom of the static cyclone separator air inlet module. A central clean air channel connecting to the interior of the box shell is provided in the static cyclone separator air inlet module, and a main air inlet louver valve is provided at the connection between the central clean air channel and the interior of the box shell. By using a movable pulley to multiply the minute linear thermal expansion displacement into a long-stroke flexible traction force, not only is the metal fatigue, deformation, and mechanical jamming problem that easily occurs with traditional rigid connecting rods under large temperature fluctuations outdoors completely avoided, but the power transmission can also ignore the complex electrical and physical obstacles inside the box, achieving ultimate flexibility and precise wiring from the central heat source to the outer dustproof components.

The invention relates to an improved external power supply module for an aircraft, the power supply module (APSM) comprising at least an electrical connection to a first AC power distribution network (GPU1), an electrical connection to a second AC power distribution network (GPU2), a synchronization and connection module, and a power converter (C1), the power supply module (APSM) being external to the aircraft (AC). The power converter (C1) is configured to deliver a DC supply voltage (HVDC1) to said aircraft (AC), the DC supply voltage (HVDC1) being obtained from the first and second AC power distribution networks (GPU1, GPU2) by the synchronization and connection module. Advantageously, it is thus possible to supply electrical energy to a plane parked in an airport area without complex logistics and without using the auxiliary power unit of the plane.

A chip includes an active device, a first backside silicon layer disposed below the active device, a first backside metal path electrically coupled to the active device and extending through the first backside silicon layer, and a first electrical barrier disposed between one or more sides of the first backside metal path and the first backside silicon layer.

The invention provides a large model dynamic call heuristic optimization method and solver for power distribution network reconstruction, and relates to the technical field of smart power grids, and the method comprises the steps: constructing a heuristic optimization model library comprising a plurality of different optimization preferences; the state of the power distribution network is perceived in real time, a field large language model capable of understanding the causal relationship between the state of the power distribution network and operation indexes serves as an intelligent scheduling center, the current situation is dynamically analyzed, and the most adaptive heuristic optimization model is screened, evaluated and called from a pre-constructed model library for iterative solution. And outputting an optimal power distribution network reconstruction scheme. Evaluating the executed power distribution network reconstruction scheme to obtain a new large language model used for training the large language model in the field, performing reinforcement learning training, and optimizing the future model scheduling and decision-making capability of the new large language model; on the basis, the purpose of considering efficiency, precision and reliability in the power distribution network reconstruction process is achieved.

The invention relates to the technical field of power distribution network automatic monitoring, in particular to an intelligent state monitoring method and system for a drop-out fuse, which are applied to a monitoring device comprising a main control processing unit, a mechanical on-off switch and a micro-electro-mechanical acceleration sensor, and the method comprises the following steps: placing the monitoring device in a low-power-consumption duty mode; when the mechanical on-off switch acts due to physical sudden change of the posture of the fusion tube, a hardware interrupt signal is generated to wake up the main control processing unit; and the main control processing unit executes dual verification logic, and only when the time for the mechanical on-off switch to be kept in the trigger state exceeds a first preset duration and the feature vector of the three-axis acceleration data accords with a preset drop impact model, the main control processing unit judges that a real fuse drop event occurs and generates alarm information. According to the invention, the problem of false alarm of a pain point in a traditional monitoring mode is solved, and high-reliability real-time monitoring of the state of the fuse is realized.

The invention relates to a single-thread and multi-thread power flow method for a comprehensive power transmission and distribution network, and the method comprises the following steps: S1, building a mathematical model of controllable energy, and obtaining an internal current source of an electronic interface distributed energy generator; s2, constructing a backward scanning subprogram based on an internal current source, and constructing a forward scanning subprogram; and S3, calling the backward scanning subprogram and the forward scanning subprogram to carry out a single-thread or multi-thread load flow calculation method of the integrated power transmission and distribution network until a convergence condition is met. Compared with the prior art, the method has the advantages that the number of single-thread iterations is reduced, and the like.