31results about How to "Guarantee power supply reliability" patented technology

The invention discloses a power grid equipment maintenance plan analysis method and device, equipment and a medium, and the method comprises the steps: obtaining to-be-processed power grid equipment data corresponding to a target power supply region, and carrying out the preprocessing of the to-be-processed power grid equipment data, and determining target power grid equipment data; generating an equipment topology ledger corresponding to the target power supply area based on the target power grid equipment data, and determining an equipment maintenance plan corresponding to the target power supply area; and determining a maintenance plan analysis result corresponding to the target power supply area according to the equipment maintenance plan and the equipment topology ledger. Based on the technical scheme, the power grid equipment maintenance plan is analyzed in combination with the equipment topology ledger, so that the analysis accuracy of the maintenance plan is improved, and the power supply reliability of a user and the safe and stable operation of a power system are effectively guaranteed.

The invention discloses a rapid fault isolation method and device for a power network powered by a power electronic power supply, and the method comprises the steps: respectively obtaining the grid-connected point voltage values of a plurality of pieces of power electronic power supply equipment at the same preset time when the grid-connected point voltage is abnormal, and sorting the grid-connected point voltage values from small to large; based on the topological structure of the power network, determining the bus corresponding to the minimum voltage value of the grid-connected point as the first bus closest to the fault point of the power network in combination with the sorting result; and locking a power electronic power supply equipment trigger pulse corresponding to the first bus, determining an opposite-end bus connected with the first bus as a second bus according to the grid-connected point voltage value variation before and after locking, and isolating a fault line between the first bus and the second bus. By adopting a multi-point voltage amplitude sorting comparison criterion, the requirements on data synchronization and data precision are relatively low; rapid isolation of internal faults of a renewable energy local power grid or a regional energy autonomous power grid is realized, and a guarantee is provided for continuous power supply of a non-fault region.

The invention discloses an online cable sheath circulating current monitoring system and method, and relates to the technical field of cable sheath circulating current monitoring, and the method comprises the following steps: installing a high-precision sensor outside a cable sheath for continuously monitoring a current signal of sheath circulating current, and carrying out the noise reduction and cleaning of collected data; key features reflecting abnormal tiny circulating current accumulation are extracted from the preprocessed current signals, the extracted features are further processed in a set monitoring window, and the processed features serve as an input feature set. Through a high-precision sensor, a deep convolutional neural network and a clustering algorithm, tiny circulation anomalies in a cable sheath are accurately identified and classified, the tiny circulation anomalies are subdivided into an accumulation appearance type, a distributed appearance type and an accidental appearance type, an alarm is given in time when risk accumulation occurs, false alarms are reduced, the monitoring efficiency and the safety of the cable sheath are improved, and the safety of the cable sheath is improved. Faults caused by heat accumulation are prevented, and stable operation and power supply reliability of a cable system are ensured.

The invention discloses a multi-scene power distribution network fault visual self-healing method, which comprises the following steps: on the basis of a basic database formed in a basic data collection stage, aiming at the condition of an accident in a corresponding maintenance scene, firstly, monitoring the state of power distribution network equipment in real time according to all calculation results of topology; the method comprises the following steps of: firstly, selecting a line with a relatively large margin and a relatively good comprehensive condition as a reverse tape and transfer line, secondly, considering related conditions, optimizing a transfer path, checking and revising a transfer scheme in a transfer scheme actual control stage, providing all alternative schemes, and providing two reverse power modes of cold reverse and hot reverse during actual control, the method comprises the following steps: automatically generating FA of a back-carrying line and a transfer line and a protection adjustment strategy of a related line, displaying information such as line topology coloring and switching states through a system panoramic contact diagram, recovering a power supply line and highlighting, and finally, automatically finishing fault area isolation and non-fault area power supply recovery, increasing the elasticity of a power grid, ensuring the reliability of power supply, and improving the safety of the power grid. And the electricity utilization perception of customers is improved.

The invention belongs to the field of power system monitoring and fault diagnosis, and particularly relates to a cable branch box health early warning method based on fusion of insulation resistance and leakage current. The method comprises the following steps: acquiring insulation resistance and leakage current signals which are synchronously aligned by using a sensing monitoring unit, and extracting deterministic characteristics through nonlinear preprocessing; performing phase-space reconstruction on the leakage current signal, and calculating the maximum Lyapunov exponent, correlation dimension and other dynamic characteristic indexes so as to quantify the chaotic evolution degree responded by the insulating medium; and constructing an evaluation model based on fusion of insulation resistance and dynamic indexes, calculating a comprehensive health index, comparing the comprehensive health index with a threshold value, and determining an early warning level. According to the method, the qualitative change omen at the initial stage of insulation degradation can be sensitively captured by fusing the macroscopic electrical parameters and the microdynamics evolution characteristics, the advancement and the anti-interference capability of early warning are improved, reliable support is provided for refined operation and maintenance of the cable branch box, and the power supply reliability of a power system is guaranteed.

The invention discloses a method and a system for integrating secondary current loop direct current resistance test and fixed detection test, and relates to the technical field of power grid loop detection, and the method comprises the steps: switching a function module of an instrument to a load test module, and carrying out the internal function verification of the device; a function module of the instrument is switched to a resistance test module, the integrity of a secondary current loop is judged through the direct resistance value difference of the secondary current loop, and the state of secondary wiring is judged through an insulation resistor; the functional module of the instrument is switched to the conduction test module, and the core before secondary wiring is tested to ensure that the wiring at the two ends of the cable is consistent. The device is portable and can be conveniently carried to the site for effective verification, the efficiency of regular verification of the secondary monitoring protection equipment is greatly improved, it can be ensured that the secondary monitoring protection equipment is safely and reliably put into operation, the blank that no professional detection tool exists in the aspect of secondary detection of the integrity of a current loop is filled, and the practicability is high. The problems that current secondary current loop detection work is incomplete, and hidden dangers existing in a secondary current loop cannot be found in time are solved.

The invention relates to a transformer closing excitation inrush current suppression device of a power supply and distribution circuit system. Wherein the branch switch is arranged on a branch led out of a low-voltage side bus of a power grid system and serves as a main switch of the branch. The boosting transformer and the branch switch are located on the same branch, and the high-voltage winding side of the boosting transformer is connected to the wire outlet side of the branch switch. The closing inrush current suppression device and the branch switch are located on the same branch, and the outgoing line side of the closing inrush current suppression device is connected to the low-voltage winding side of the boosting transformer. Through the branch circuit formed by the branch switch, the boosting transformer, the closing inrush current suppression device and the power generation equipment, the original direct closing of the main transformer and the generation of the excitation inrush current are converted into the excitation inrush current generated when the branch circuit completes the closing and opening operation. Therefore, the magnitude of the impulse current formed on the low-voltage winding side of the main transformer depends on the maximum allowable working condition of the power generation equipment side, and the rated current of the power generation equipment is far smaller than the rated current of the low-voltage winding side of the main transformer, so that the peak value of the excitation surge current is clamped.

The application discloses an off-grid photovoltaic-storage-diesel micro-grid hierarchical collaborative controller and method, and belongs to the technical field of micro-grid control. The controller comprises a scheduling collaborative layer, a coordination control layer and a device control layer. The scheduling collaborative layer makes energy scheduling decisions at a minute-level to hour-level time scale; the coordination control layer performs real-time power coordination and mode switching control at a millisecond-level to second-level time scale, includes three working modes of photovoltaic-storage main supply, diesel generator main supply and photovoltaic-storage-diesel parallel connection, and has pre-synchronization control and power smooth distribution functions; and the device control layer directly communicates with photovoltaic, energy storage and diesel generator units and executes power instructions. The application separates fast and slow dynamic control requirements through the three-layer architecture, realizes smooth switching and collaborative optimization of photovoltaic-storage-diesel three sources, and solves the problems of unreasonable control architecture, unstable switching process and unsystematic working condition division in the prior art, thereby effectively improving the power supply reliability, power quality and economic operation level of the off-grid micro-grid.

This invention relates to the field of power system energy storage technology, specifically to a method and device for site selection and capacity determination of computing-powered energy storage based on grid-connected green electricity direct connection. The method includes: acquiring 8760 hours of time-series operational data and line data from a computing center and new energy power plants, setting the connected grid as an infinite power source; using K-means clustering to obtain typical daily scenarios; constructing a parallel computing framework for three energy storage deployment scenarios, with the minimum life-cycle cost as the objective function, combined with constraints such as power balance; and solving the problem using particle swarm optimization and determining the optimal solution through economic comparison. The corresponding system includes modules for annual historical data acquisition, typical daily scenario clustering, parallel optimization framework, optimization problem solving, and solution acquisition, with each module collaboratively executing the above method. This invention fills a technological gap, improves computational efficiency, achieves optimal economic energy storage configuration, ensures power supply reliability, and facilitates the full absorption of green electricity.

The invention discloses power supply equipment and a power distribution device thereof, which are applied to the technical field of power supplies, and are characterized in that a first power supply port and a second power supply port of a power supply switching unit are respectively connected with a first power supply line and a second power supply line, and output ports serve as power supply ports of K parallel power supply modules in load equipment; k is a positive integer and is greater than or equal to N, and N is the minimum number of power supply modules required by the load equipment; the detection control unit is used for controlling the power supply switching unit to use the power supply line with the normal power supply state to supply power to the load equipment when the power supply state of a single power supply line in the first power supply line and the second power supply line is detected to be abnormal; and the temporary power supply unit is used for supplying power to the load equipment under the control of the detection control unit in the process of switching the used power supply line by the power supply switching unit. By applying the scheme of the invention, the reliability of power supply can be effectively guaranteed, the accuracy requirement of wiring is reduced, and the cost and the space layout difficulty are reduced.

The invention discloses a quick load transfer device and method for a direct-current system of a transformer substation. The quick load transfer device comprises a direct-current power supply, a connecting wire and an insulating puncture connector, the direct-current power supply is arranged in the mobile outer box, the output end of the direct-current power supply is electrically connected with one end of the connecting wire, and the other end of the connecting wire is connected with the insulating puncture connector; the direct-current power supply internally comprises a storage battery pack, a charging module and a DC / DC conversion module and is used for outputting voltage-adjustable direct current; the insulation puncture connector is used for establishing electrical connection with a feeder line of a transformer substation direct current system under the condition that a wire insulation layer is not stripped. The mobile outer box is provided with a direct current voltmeter used for monitoring voltage and an output protection switch used for controlling output on-off. By adopting the insulation puncture connection technology, the quick and firm live connection can be realized without manual cutting or stripping of the outer skin of the main wire, the live bare operation is avoided, and the operation safety is improved.

The invention relates to the technical field of reactors, and discloses a protection system and method for a zero-loss deep current limiting device. The method obtains the number of times the current limiting reactor is put into operation within a preset period by acquiring the switching-in state of the current limiting reactor, generates a switching-in state execution instruction according to a comparison result between the number of times the current limiting reactor is put into operation and a preset switching-in and switching-out number constant, thereby exiting the current limiting reactor and locking its input function, further obtains the operating temperature and the short-circuit current of the switch branch, generates a joint trip execution instruction according to a comparison result between the short-circuit current of the switch branch and a preset joint trip short-circuit current constant, so as to joint trip the current limiting reactor to a bus switch and a main transformer low-voltage switch, and generates a switching-in state execution instruction according to a comparison result between the operating temperature and a preset overheat protection temperature constant, so as to exit or lock the input function of the current limiting reactor when the temperature of the current limiting reactor of the zero-loss deep current limiting device is too high, thereby improving the operating stability of the current limiting reactor.

The present invention relates to a large-scale power transformer excitation system and method for a circuit system for power supply and distribution. The excitation system includes an excitation system transformer, a low-voltage side switch and an excitation surge current suppression device, and the excitation surge current suppression device includes a phase-controlled main circuit, a bidirectional current suppression module and an inrush current control unit. The excitation surge current suppression device allows the transformers running in parallel to serve as power sources for each other as backup, thereby ensuring the stability and reliability of the power grid system and reducing the negative impact on the electricity consumption of residents covered by the power grid system. In particular, for enterprises that rely on high-quality power supply, the stability and power supply reliability of the power grid system ensure the electricity demand of the enterprise's production and reduce production losses caused by power outages.

The application relates to the technical field of switch cabinet monitoring, in particular to a monitoring method and system for a gas-protected medium-voltage switch cabinet, which monitors the air pressure, temperature and busbar load in the gas-protected medium-voltage switch cabinet. A collaborative monitoring system fusing pressure, temperature and current multidimensional information is constructed, breaking through the limitation of single parameter monitoring. The Bayesian probability and D-S evidence theory are innovatively combined, the objectivity of statistical data is utilized, and the evidence conflict and cognitive uncertainty are properly handled, so that the diagnosis is upgraded from threshold alarm to probabilistic trust evaluation. The application can effectively monitor the current state type of the switch cabinet in real time, drive the operation and maintenance mode to shift from regular maintenance to predictive maintenance, ensure power supply reliability, and greatly reduce operation and maintenance cost and unplanned power outage risk.

The invention provides a station energy processing method and device, a power supply system and a storage medium, and relates to the energy management technology, and the method comprises the steps: monitoring the actual charging and discharging current values of a plurality of batteries, and obtaining the actual charging and discharging current values; acquiring preset charge and discharge rates of the plurality of batteries; determining a charge-discharge processing mode based on a preset charge-discharge rate and the actual charge-discharge current value; and according to the charging and discharging processing mode, performing charging and discharging control on the plurality of batteries, and adjusting output voltages and output currents of other power supply modes except battery power supply. According to the method, more effective comprehensive management of station energy is realized through the charging and discharging processing mode in a battery mixed use scene, so that green energy and differentiated energy storage capability of different batteries of the station can be more fully utilized, and on the premise of ensuring the power supply reliability of the station, the power supply reliability of the station is improved. The technical problems that the charging and discharging management of the battery is not fine enough and the energy storage capacity of the station battery is not fully utilized in the existing station energy management technology are solved.

This invention discloses a distribution network scheduling optimization method based on an energy storage system, belonging to the field of power system optimization and scheduling. With the goal of minimizing photovoltaic curtailment, load shedding, and the operating costs of mobile energy storage (MESS), a traffic-distribution network coupled optimization model is constructed. Based on the traffic uncertainty at each time period on the road, a constraint relationship is established between path state variables and driving state variables to simulate the traffic congestion delay of the MESS, while ensuring sufficient charging and discharging time for the MESS at each node. The coupling between the transportation network and the distribution network is achieved through the path state variables, driving state variables, and output power of the MESS. Traffic uncertainty is transformed into an opportunity constraint on congestion delay. By simulating the congestion delay of the MESS through path state variables and driving state variables, the driving behavior and power scheduling of the MESS are optimized, thereby improving the distribution network's capacity to support photovoltaic power generation and residential loads.

The invention discloses a load balancing transfer method and related equipment in consideration of a main and distribution cooperation mode, which selects a proper main transformer load for transfer based on an existing main network transfer thought, and performs load non-directional transfer on other overload loads through a contact relationship between distribution networks. Compared with a traditional transfer mode purely depending on a main network, the transfer mode is gentle, reasonable use of the bearing capacity of regional power grid equipment is achieved, and meanwhile load balance transfer is met; according to the method, automatic line selection is carried out by setting a set rule, all transfer possibilities can be enumerated and verified, analysis can be carried out only through manpower which cannot be realized or needs to consume vigorous energy, the efficiency of rapidly avoiding risks in a load peak or power grid fault scene is effectively improved, the requirement for safe and stable operation of a power grid is met, and the method is suitable for large-scale popularization and application. And power grid power supply reliability is guaranteed.

The application discloses a ground insulation resistance monitoring method, which can be applied to a ground insulation resistance monitoring device including a first resistance and a second resistance connected in series. In the application, a positive ground insulation resistance and a negative ground insulation resistance can be connected in parallel with the first resistance and the second resistance, and a connection point between the first resistance and the second resistance is grounded. The method can obtain a first voltage of the first resistance and a second voltage of the second resistance. Based on the first voltage and the second voltage, whether the positive ground insulation resistance and the negative ground insulation resistance are abnormal is determined. Based on this, the application can monitor the insulation performance between the positive pole and the ground and the insulation performance between the negative pole and the ground of the power supply of the distribution network DC control loop through the voltages of the two resistances, and identify insulation abnormalities in time. It can be seen that the application converts the distribution network DC insulation performance monitoring into voltage acquisition and processing of two resistances, and dynamically monitors the distribution network DC insulation performance, thereby guaranteeing power supply reliability.

The invention discloses an energy storage system storage battery charging and discharging strategy and parameter matching method, and relates to the technical field of energy storage systems, and the method comprises the following steps: constructing a multi-objective optimization model containing economical efficiency and reliability; solving the multi-objective optimization model through a non-dominated sorting genetic algorithm, and generating a leading edge solution set; establishing a scene classification library and a fuzzy rule library, collecting power grid state data in real time, and matching a current operation state with scene library features through a clustering algorithm; dynamically selecting a fuzzy rule base according to the scene type; selecting an optimal charging and discharging strategy from the leading edge solution set based on a fuzzy decision method; and dynamically controlling the charging and discharging power of the storage battery according to the optimal strategy, and matching parameter constraints of the storage battery. According to the energy storage system storage battery charging and discharging strategy and parameter matching method, through multi-objective optimization, the strategy is flexibly adjusted according to the actual condition of the power grid, and maximization of the operation benefit of the power grid is facilitated.

The application discloses a low-voltage area distribution network fault diagnosis method based on light storage equipment trusted access, and belongs to the technical field of power grid fault diagnosis. The steps comprise the following: in a trusted computing environment constructed by a security chip, a protocol deep analysis is performed on a data packet of a light storage equipment to obtain trusted standardized data; a minimum feature subset required for fault diagnosis is dynamically selected based on a maximum correlation minimum redundancy algorithm, and encrypted transmission is collected to obtain efficient sensing data; the efficient sensing data is fused with historical fault cases to construct an edge fault diagnosis knowledge unit; when a fault occurs, the edge fault diagnosis knowledge unit is used to perform parallel execution of fault type rapid identification and power supply recovery potential pre-evaluation. The application adopts protocol deep analysis and a trusted computing environment, can ensure the integrity and security of non-standard access data, and dynamically optimizes the dimension of measurement data through a maximum correlation minimum redundancy algorithm, thereby improving the real-time performance and efficiency of fault type rapid identification and power supply recovery potential pre-evaluation.

The invention relates to a power distribution network parallel capacitor bank intelligent switching system for reactive compensation of a power distribution network. The system comprises capacitor banks which are respectively connected in parallel with a trunk feeder line and a branch feeder line in a power distribution network system and are used for reactive compensation, and the capacitor banks connected in parallel with the trunk feeder line and the capacitor banks connected in parallel with the branch feeder line are both provided with circuit breakers used for controlling respective switching. By arranging the capacitor bank for short-line reactive compensation, requirements of key users can be quickly compensated, the line loss is reduced, and the power supply quality and the power supply reliability of the key users are guaranteed. Through monitoring peak-valley power consumption behaviors of key users, the intelligent switching model is utilized to optimize power factors of all levels of the power distribution network, so that the power supply quality of all levels of users is correspondingly adaptively adjusted, and the power supply quality and the power supply reliability are improved.

The application discloses a kind of photovoltaic power supply electricity management method, by obtaining traffic flow, weather forecast, energy storage module state and charging demand data, establishes multi-source fusion prediction model to calculate and predict electricity consumption and photovoltaic power generation, according to the state of charge, health state, temperature and remaining life of energy storage module, calculate priority index, and based on net load power demand and priority index generate energy distribution strategy, control photovoltaic, energy storage and grid collaborative power supply.The application improves prediction accuracy through multi-source data fusion, dynamically calculates the priority of energy storage module, realizes the optimized allocation of energy, can improve photovoltaic self-generation self-use rate, reduce dependence on power grid, reduce power grid access frequency and power transmission loss, prolong the service life of energy storage module, improve the overall operation efficiency of system, guarantee power supply stability and reliability, with good economy and practicality.

The invention discloses a distributed photovoltaic converter multi-sequence quantity cooperative control method and device and a storage medium. The method comprises the following steps: constructing a positive sequence-negative sequence-zero sequence control model of a distributed photovoltaic converter; collecting the output power of the distributed photovoltaic converter; an impedance constraint condition is determined, a voltage reference value of the distributed photovoltaic converter is determined based on the impedance constraint condition, the positive sequence-negative sequence-zero sequence control model and the output power, and the microgrid comprises a positive sequence load, a harmonic load and an unbalanced load; determining a preset droop controller, determining a control input parameter of the preset droop controller based on the voltage reference value, and inputting the control input parameter into the preset droop controller for impedance compensation value prediction to obtain a multi-sequence impedance compensation value; and based on the multi-sequence impedance compensation value, performing impedance compensation on the distributed photovoltaic converter so as to realize uniform distribution of a fundamental wave positive sequence power component, a harmonic power component and an unbalanced power air volume in the micro-grid.

This invention provides a frequency-to-analog safety barrier, comprising a voltage conversion circuit, a transformer coil drive circuit, a transformer, a first AC voltage rectification and filtering circuit, a frequency signal processing circuit, a NAMUR signal processing circuit, an NPNPNP signal processing circuit, a frequency processing circuit, an MCU control circuit, a TTL output interface, an isolation chip, a square wave processing circuit, a filtering circuit, a DC output circuit, and an alarm relay. The voltage conversion circuit is connected to the transformer via the transformer coil drive circuit. The transformer supplies power to the hazardous and safe zones via the first AC voltage rectification and filtering circuit. Multiple intrinsically safe terminals in the hazardous zone are connected to the frequency processing circuit via three signal processing circuits. The frequency processing circuit outputs to the MCU control circuit. The MCU output sequentially passes through the TTL interface, the isolation chip, the square wave processing circuit, and the filtering circuit to the DC output circuit. This invention achieves frequency signal to analog quantity conversion and safety isolation, increasing system stability.

This invention provides a YOLO-based method for identifying fault types in 10kV distribution network lines, comprising: constructing a fault image dataset and data augmentation; constructing an improved YOLOv8 fault identification model architecture; constructing a multi-task loss function for fault identification; training the line fault identification model; inference detection based on line inspection images; post-processing optimization of fault detection results; and outputting identification results. This invention achieves high-precision, robust, and real-time intelligent identification and classification of various types of line faults in 10kV distribution networks, effectively improving the efficiency of intelligent inspections and the timeliness of fault early warnings, and ensuring the safe and stable operation of the distribution network.

This invention belongs to the field of power line fault detection technology and discloses a method, system, equipment, and medium for diagnosing power distribution line faults. The method includes: acquiring initial fault signal data corresponding to the power distribution line, preprocessing the initial fault signal data, and outputting fault signal data; decomposing the fault signal data using joint decomposition technology to obtain intrinsic mode components (IMCs); introducing information mining technology to extract the distribution change feature vector of the fault signal and fusing it with the IMCs to obtain a change image; extracting local features of the change image through a convolutional neural network and combining it with a strategy function optimized by a Huffman tree for fault classification, and outputting the fault diagnosis result. This invention applies the Softmax strategy of Huffman trees, improving the efficiency and accuracy of judgment, enabling early identification and warning of fault signals in power distribution lines, and improving the efficiency of power distribution line fault diagnosis.

The application provides a UPS system bidding method for an electric energy reserve joint market, and relates to the field of data centers. Specifically, based on the energy consumption demand and new energy output curve of the data center in the day-ahead stage and the purchase decision of the UPS system in the electric energy market, the charging and discharging power of the UPS system in the real-time stage is predicted, and a UPS system bidding model is initially constructed; the energy consumption sensing task scheduling process in the real-time stage, the charging and discharging adjustment of the UPS system and the reserve calling response process are modeled, and the model is trained; according to the purchase cost in the day-ahead stage and the reserve capacity bidding income, the additional purchase cost in the real-time stage, the reserve calling response income and the non-response penalty, as well as the penalties caused by the calling shortage and the insufficient remaining capacity, a target function is established. The application can decouple the complex relationship between the available energy of the UPS and the task scheduling process, and excavate the flexibility of the UPS operation under the premise of guaranteeing reliable power supply.

The invention relates to an excitation inrush current suppression method for a large power transformer in a power supply and distribution circuit system, which is characterized in that a transfer branch for excitation, inrush current and overvoltage treatment is connected to a low-voltage winding side of a main transformer, and the branch comprises a power supply circuit, an inrush current treatment circuit and an overvoltage protection circuit. Through the transfer branch, the original direct closing of the main transformer and the generation of the magnetizing inrush current are converted into the generation of the magnetizing inrush current when the branch completes the closing and opening operation. And the main transformer is automatically magnetized, so that the burden of workers is reduced, and the intelligent degree of power supply and distribution is improved. In addition, a manual mode can be selected to magnetize the main transformer, so that a worker can conveniently carry out selective switching work according to actual conditions; when automatic magnetizing fails, workers adopt manual magnetizing, so that the purpose of switching can still be achieved.

The invention relates to the technical field of power distribution network faults, and discloses a power distribution network fault positioning method, which comprises the following steps: acquiring voltage drop vectors before and after a power distribution network fault and the line length of each line, and when the ratio of the maximum line length to the minimum line length is greater than or equal to a ratio threshold value, determining that the power distribution network fault exists; virtual nodes are inserted based on the minimum line length to perform segmentation reconstruction, a node impedance matrix containing real nodes and the virtual nodes is constructed, the voltage drop vector is used as an observation vector, a submatrix of the node impedance matrix is used as a sensing matrix, and a node fault current source vector is determined by using a sparse Bayesian learning algorithm so as to determine a fault positioning result. According to the method, the adaptive complex topology is reconstructed by inserting the virtual nodes into the segments, and high-precision positioning is realized under a small amount of measurement equipment in combination with the sparse Bayesian learning algorithm, so that the problems that the traditional method is highly dependent on the measurement equipment and is easily influenced by topology complexity and distributed power supply fluctuation are effectively solved; and the accuracy, robustness and the like of fault positioning are obviously improved.

This invention discloses an energy-saving control method for new energy substations based on digital management, belonging to the field of power system automation and energy management technology. The method includes: constructing a multi-source data fusion sensing layer to collect data such as main transformer operating parameters, reactive power compensation status, auxiliary system load, and ambient temperature and humidity; establishing a dynamic energy efficiency evaluation model with the goal of minimizing comprehensive energy consumption, integrating main transformer losses, reactive power switching losses, auxiliary system energy efficiency, and ambient temperature correction factors; generating a coordinated control strategy for main transformer tap positions, reactive power switching, and cooling system start / stop using a rolling optimization algorithm, and verifying safety boundaries and action frequency constraints; executing closed-loop control and online correction strategies based on deviation feedback; and adaptively updating model parameters using the recursive least squares method, combined with an energy efficiency knowledge base to improve response speed. This invention achieves accurate modeling of the entire substation's energy consumption and multi-factor coordinated optimization, significantly reducing the substation's electricity consumption while ensuring safety and new energy consumption.