415 results about "Electric distribution network" patented technology

The invention relates to the technical field of intelligent power grids, in particular to a power distribution network battery digital dynamic management system based on digital twinning. Comprising a data acquisition unit; the digital twinborn modeling unit is used for constructing a battery-power grid-environment multi-dimensional dynamic twinborn body and realizing virtual-real bidirectional mapping and adaptive updating by combining a multi-physics field coupling model and a long-short-term memory network time sequence prediction algorithm; a dynamic optimization unit; and executing the feedback unit. Through a distributed heterogeneous sensing network of a data acquisition unit, multi-dimensional operation data of a battery pack and a key node of a power distribution network are acquired, and a high-fidelity data set containing four-dimensional labels of a battery state, a power grid parameter, time and a position is generated in combination with a spatial-temporal feature extraction technology; the deep fusion of the full life cycle state of the battery and the global operation data of the power distribution network is realized, and the comprehensive data support covering the global is provided for the optimization decision.

The invention relates to an intelligent power distribution harmonic monitoring and dynamic compensation system which comprises a monitoring unit, a correction unit and a compensation unit. The monitoring unit continuously collects high-frequency harmonic voltage and current data in a distribution line at a high sampling frequency, extracts transient harmonic components through wavelet packet transformation and empirical mode decomposition, and generates low-dimensional feature vectors based on sparse representation. And the correction unit decodes the low-dimensional feature vector, recovers harmonic time-frequency features, calculates a phase drift rate, predicts a harmonic propagation path and an accumulation node by combining real-time power distribution network topology construction and adopting a nonlinear dynamic prediction model, and generates a correction instruction when abnormality is detected. And the compensation unit adopts pulse sequence density modulation to dynamically adjust a compensation current phase according to the correction instruction, and meanwhile, an inductive coupling device is utilized to transfer harmonic energy to a low-risk node, so that harmonic voltage distortion of a target node is quickly recovered to a stable level in a fundamental wave period after early warning.

The invention provides a feeder terminal fault detection method, system and device, a medium and a program product, and the method comprises the steps: obtaining multi-source heterogeneous data comprising feeder terminal operation data, a topological graph structure of a power distribution network and external sensing data, the multi-source heterogeneous data comprises at least one kind of structured or unstructured time sequence data, and the external sensing data comprises at least one kind of structured or unstructured time sequence data; the external sensing data comprises meteorological data, geographic space information and historical fault records; and preprocessing the multi-source heterogeneous data, inputting the preprocessed time-aligned multi-source heterogeneous data into the trained time-space diagram neural network model to extract features and perform joint modeling, and outputting a fault type classification result and a fault probability distribution result corresponding to each feeder terminal node in the power distribution network. According to the method, a multi-source heterogeneous data fusion and time-space diagram neural network modeling mechanism is introduced, so that the model has a dynamic response capability to complex environment changes, and the identification precision of a potential fault mode is effectively enhanced.

The invention discloses an electricity utilization information acquisition intelligent configuration method based on a pattern recognition algorithm, and relates to the technical field of intelligent power grids, and the method comprises the steps: collecting a directional data stream, inputting a federal map neural network to construct a power distribution network physical connection relation, and generating a spatio-temporal topological feature vector; extracting a current effective value component of the directional data flow as an electrical load sequence, extracting an equipment state code to identify a voltage sag event, injecting voltage sag event associated disturbance into the electrical load sequence in combination with an event propagation path weight of a spatio-temporal topological feature vector, and generating an anti-fact sample set; and compressing the new configuration strategy through a knowledge distillation engine, and outputting an event response logic and a parameter adjustment instruction to form an executable configuration strategy. According to the method, through anti-fact sample generation and reinforcement learning optimization under spatial-temporal topological feature vector constraint, a physical rule deep embedding decision is realized.

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 discloses a parallel operation data interaction system and method for hybrid energy storage inverters, and relates to the technical field of power systems, and the system comprises a parallel operation data interaction center, a data collection and monitoring module which is used for collecting load data in a power distribution network and monitoring the operation state of each hybrid energy storage inverter, performing feature analysis to extract load operation features to obtain a load operation feature sequence table; and the load prediction module is used for obtaining a load trend index by using the historical data and the load operation characteristics in the load operation characteristic sequence table in combination with a pre-trained load prediction model, and analyzing the change trend of the load. By collecting load data and monitoring the operation state of the inverter, the operation condition of the system can be comprehensively mastered, abnormity can be found and processed in time, the output of the inverter is adjusted in advance and the operation mode is switched in combination with the load prediction model, load fluctuation and power grid faults are effectively handled, and the stability and reliability of the power system are remarkably improved.

The invention relates to a surface material uniformity analysis method and system for an insulator of a power distribution network, and belongs to the technical field of data processing, and the method comprises the following steps: S1, obtaining an optical image, a thermal imaging image and ultrasonic echo data of the surface of the insulator; s2, performing image processing on the acquired optical image, extracting characteristic parameters of surface roughness, texture direction and texture consistency, and constructing a surface texture uniformity index; s3, thermal diffusivity and thermal resistance of different areas are calculated from the thermal imaging image, thermal parameter differences of the areas are compared, and a thermal performance uniformity evaluation value is formed; s4, aiming at the ultrasonic echo data, establishing a correlation model of the ultrasonic characteristics and the internal uniformity of the material; s5, the fusion analysis model comprehensively evaluates the uniformity of the surface material of the insulator; the method has the beneficial effects that the fusion analysis model realizes comprehensive evaluation of the uniformity of the surface material of the insulator from multi-dimensional data.

The invention relates to the technical field of electrical safety, and discloses a multistage cooperative fault detection method and system based on an intelligent air switch, and the method comprises the steps: intelligent air switch terminals disposed at all levels of a power distribution network are used for synchronously collecting a multi-physical-quantity time sequence signal; the intelligent air switch terminal calculates the dynamic correlation entropy of the collected current signal and executes local fault diagnosis according to the dynamic correlation entropy; the terminals carry out cooperative communication, and dynamic correlation entropy is collected to construct an entropy migration spectrum so as to carry out cooperative traceability on faults; and finally, integrating local diagnosis and collaborative traceability results, and executing corresponding hierarchical collaborative protection actions. The system comprises an acquisition module; an entropy calculation module; a local diagnosis module; a communication module; a collaborative traceability module; and a protection execution module. According to the invention, through multi-stage cooperative fault detection of the intelligent air switch, accurate identification, rapid response and state early warning of hidden faults are realized, and the safety and reliability of a power distribution system are 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 power distribution network self-healing method for improving power supply reliability, and the method comprises the following steps: S1, collecting fault information and an operation state, constructing a fault description matrix P, and carrying out the fault positioning based on the fault description matrix P; s2, after fault positioning, judging the position of the node relative to a fault position by taking whether fault current is detected at the node as a criterion, and recording the distance x between the node and a fault branch; s3, after a fault branch and a fault node are determined, fault recovery of a non-fault area is carried out based on the distance x between the node and the fault point; s4, constructing multiple objective functions and constraint conditions, determining the weight of each objective function by adopting an analytic hierarchy process to obtain a total objective function F, and optimizing the objective functions based on an ant colony algorithm to obtain an optimal power distribution network reconstruction scheme; the power failure time can be shortened, the power supply reliability is improved, and the power grid operation reliability is improved.

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.

The invention discloses a regional power distribution method and system for distributed new energy consumption, and relates to the technical field of power systems, and the method comprises the steps: obtaining regional power distribution network data, and constructing a power distribution network analysis model; based on the power distribution network analysis model, dividing the regional power distribution network into a plurality of energy autonomous units by calculating the electrical distance and the power sensitivity; calculating an energy complementation index and a load elastic coefficient of each energy autonomous unit, and constructing a unit feature model; dynamically adjusting the active power and reactive power output of the distributed new energy in each energy autonomous unit according to the unit characteristic model; and monitoring the operation state of the energy autonomous units, implementing a cooperative control strategy, and adjusting power exchange between the energy autonomous units. According to the energy autonomous unit division method provided by the invention, the tightly coupled node group can be accurately identified, the nearby consumption and efficient utilization of new energy are realized, and the power transmission and distribution loss is reduced.

The invention discloses a stability evaluation method, system and device of a power system and a medium, and the method comprises the steps: obtaining the load parameters of each node in a power distribution network, and determining the voltage amplitude, first active power and first reactive power of a transformer substation bus based on the load parameters; based on the voltage amplitude, the first active power and the first reactive power, inputting a preset power distribution system model to obtain a first sensitivity matrix, a second sensitivity matrix and a plurality of sensitivity vectors, and based on the first sensitivity matrix, the second sensitivity matrix and each sensitivity vector, obtaining a plurality of sensitivity vectors; the power distribution system model is obtained by coupling a power supply system model and a power distribution network model at a substation bus; and evaluating the stability of the power system based on the power flow distribution. According to the invention, the accuracy and comprehensiveness of stability evaluation of the power system can be improved.

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 a high-voltage power distribution network flexible operation and risk control method and device and a medium, and belongs to the technical field of high-voltage power distribution networks, and the method comprises the steps: carrying out the simplification of an urban power grid topological structure through employing a load transfer unit; based on the simplified urban power grid topological structure, establishing an output system model, a high-voltage power distribution network flexible reconstruction model and an electric vehicle cluster flexible scheduling model; based on the output system model, the high-voltage power distribution network flexible reconstruction model and the electric vehicle cluster flexible scheduling model, establishing an objective function of a cooperative scheduling strategy; and solving the objective function to obtain an optimal collaborative scheduling strategy. Through a dual-dimension flexible operation mechanism cooperating with electric vehicle charging and discharging flexibility and HVDN flexible reconstruction, the equipment overload risk is solved, and the operation safety of a power distribution network is improved.

One or more embodiments of the invention relate to the technical field of power Internet of Things application, in particular to a low-voltage line management and control method and system with a self-healing function. The system comprises a state sensing module which is used for obtaining power state parameters of a power distribution network comprising two paths of incoming lines and two sections of buses; the logic judgment module is used for sending a spare power automatic switching execution instruction to the control execution module based on a preset spare power automatic switching starting condition when it is detected that any one of the two sections of buses loses voltage and the dynamic parameters of the power distribution network meet the spare power automatic switching starting condition, so as to execute a spare power automatic switching transfer flow; and the control execution module executes a spare power automatic switching transfer flow according to the spare power automatic switching execution instruction sent by the logic judgment module, and the spare power automatic switching transfer flow comprises the step of sending an operation instruction to each circuit breaker according to a preset sequential control mode when the power distribution network meets the preset sequential control mode so as to automatically switch the operation mode of power supply.

The invention provides a power distribution network monitoring method and system under robot inspection, and relates to the technical field of power systems, and the method comprises the steps: configuring a sensor group; uploading the network node data set to a central cloud platform; after the central cloud platform calls the network structure of the power distribution network, performing global anomaly identification according to the uploaded data; carrying out anomaly clustering according to global abnormal nodes by taking the communication range of the robot as a constraint; after the robot is controlled to move to a relay center point, a local area communication network is built, and window collection data of network nodes are read; the robot is used for executing power distribution network data collection; and performing abnormity verification, and reporting monitoring abnormity. According to the method and the device, the technical problem that in the prior art, due to the fact that abnormal distribution is uneven and the false alarm rate is high in a large-scale power distribution network, abnormal recognition credibility is insufficient is solved, and the credibility of abnormal recognition is improved by introducing robot inspection and cloud global analysis.

Embodiments described herein provide for power distribution control systems and methods. The power distribution control systems and methods estimate one or more signal measurements of one or more nodes of a power distribution network using state estimation, identify a location of an outage in the power distribution network, identify a status of one or more switches that form a configuration to restore power to one or more cells of the power distribution network based on the one or more signal measurements estimated using state estimation, and output control signaling to control the one or more switches based on the identified status.

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.

A microgrid controller of a microgrid includes a communication interface configured to receive load information corresponding to a current load demand of a plurality of loads connected to the microgrid and output control signals for controlling energy resource systems associated with the microgrid, which include a non-stabilizing group and a stabilizing group; and one or more processors, coupled to the one or more memories, configured to execute a load stabilization algorithm to generate the one or more control signals based on the load information. Executing the load stabilization algorithm includes generating, based on the load information, one or more first control signals to dynamically control an amount of total output power provided by the stabilizing group to a power distribution network of the microgrid in order to stabilize one or more cyclic loads on the power distribution network and to maintain the non-stabilizing group at a substantially constant load.

A method for determining a plurality of phase labels, each phase label identifying a phase of a voltage at one of a lateral or a customer in a three phase power distribution network, comprises receiving data indicating a plurality of electrical connections of the three phase power distribution network; receiving a plurality of sensor data values, each sensor data value being a measured electrical characteristic from at least a portion of the customers; receiving a plurality of known phase labels associated with a portion of the laterals and customers; generating a form of an adjacency matrix associated with a graph of the electrical connections of the three phase power distribution network; determining the values of the adjacency matrix which minimize a mathematical function of the sensor data values and the known phase labels; and deriving the phase label for each lateral and customer from the adjacency matrix.

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.

A multi-port flexible interconnection device for distribution networks, and a control method and system thereof are provided. The multi-port flexible interconnection device includes a bipolar output inverter and a multi-port flexible interconnection module connected in series therewith. The multi-port flexible interconnection module includes multiple unipolar output inverters which share the same common connection bus and are connected in parallel, and AC output ports of each unipolar output inverter are interconnected with different feeders. By adjusting an AC output voltage in series between the feeders, active and reactive power decoupling control for each feeder is achieved. Energy balance for the entire device and its components is maintained by controlling an internal circulating current of the bipolar output inverter. The provided introduces the multi-port flexible interconnection module to interconnect multiple feeders in a distribution network, enabling flexible power interchange between feeders and facilitating a flexible AC distribution network featuring multi-terminal interconnection.

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.

A semiconductor device includes a nanosheet stack on a substrate. A first source / drain is on a first side of the nanosheet stack and a second source / drain is on an opposing side of the nanosheet stack. A backside contact includes a first contact end on a first end of the first source / drain and an opposing second contact end in electrical communication with a backside power distribution network. A frontside contact includes a first contact end on a first end of the second source / drain and an opposing second contact end in electrical communication with a backend of line (BEOL) interconnect. A placeholder extends from an opposing second end of the second source / drain.

This invention relates to the field of circuit breaker technology, and more particularly to a conveniently installed pole-mounted circuit breaker. The invention provides such a conveniently installed pole-mounted circuit breaker, comprising a mounting frame, a circuit breaker, a positioning plate, a support plate, a buffer spring, V-shaped slot blocks, a positioning rod, and a positioning assembly. The mounting frame is fixedly installed on a power pole of the power transmission and distribution network via a clamp assembly, and the support plate is horizontally installed at the top inside the mounting frame. Through the interlocking engagement of the V-shaped slot blocks on both sides of the positioning plate with the positioning rod of the circuit breaker, the automatic centering characteristic of the V-shaped structure enables rapid and accurate horizontal positioning of the circuit breaker. Combined with the interlocking engagement of the locking blocks in the positioning assembly with the locking slots of the connecting strip, the circuit breaker can be installed quickly. During disassembly, simply lifting the circuit breaker with a crane allows all components to automatically unlock and reset, significantly shortening installation and maintenance time, improving work efficiency, and reducing the difficulty and labor intensity of manual operation.

Provided is a semiconductor device including a power distribution network layer on a lower surface of a substrate, a gate electrode on the substrate, a first source / drain pattern and a second source / drain pattern on the substrate, the first and second source / drain patterns each including a first pattern and a second pattern spaced apart from each other with the gate electrode therebetween, a through via structure penetrating the substrate and extending along a direction perpendicular to an upper surface of the substrate, the through via structure connecting the power distribution network layer and the first pattern of the first source / drain pattern, and a rear surface power via extending from below the second pattern of the first source / drain pattern to below the second pattern of the second source / drain pattern.

The invention relates to the technical field of power distribution, and particularly discloses a power distribution network monitoring system and a power distribution network, which are used for solving the problems that when a weak wave head, frequency dispersion, multi-branch reflection and time service jitter coexist in the prior art, unified setting and consistent time scales cannot be realized, missing detection, false peak preemptive, arrival time offset, unstable cross-end fusion and large positioning error are easily caused. The system comprises a synchronous transient sampling unit, a phase-mode decoupling unit, an MRSVD decomposition unit, a VMD decomposition unit, a feature statistics unit, a parameter management unit, an SDEO calibration unit, a time mark fusion unit, a data storage unit and a master station processor. According to the method, kurtosis K, entropy H and kurtosis entropy ratio are taken as a unified parameter source, phase mode decoupling, MRSVD, VMD, SDEO and time scale fusion are performed, a cross-unit collaborative setting and traceable distribution mechanism is constructed, line mode selection, singular value truncation, modal number and center frequency are linked, and a closed loop is formed by binding with topology and time service.