1773 results about "Feeder line" patented technology

The invention provides an intelligent power distribution load prediction and adaptive scheduling method, and aims to improve the response capability and operation efficiency of a power distribution system to load fluctuation. According to the method, historical load data, real-time meteorological information and user power consumption behavior data of a target power distribution area are collected, a multi-dimensional input data set is established, a short-term load prediction model is constructed based on the data set, and prediction of future load levels of multiple feeder lines and key nodes is achieved. According to a prediction result, potential voltage deviation, load imbalance and equipment overload risks are identified, and a dynamic scheduling control strategy is generated by adopting a rolling horizon optimization method in combination with a power grid topological structure and operation constraints; the strategy comprises control measures such as transformer tap position adjustment and capacitor bank switching; through issuing a scheduling strategy to an equipment control unit, active adjustment is completed before load change, voltage stabilization, load balancing and energy optimization are realized, and intelligent and adaptive operation guarantee is provided for a power distribution system.

The invention discloses a distribution line fault intelligent diagnosis method based on multi-source information fusion, and belongs to the technical field of power system fault detection and diagnosis, and the method comprises the steps: obtaining distribution line data and meteorological data; superposing the distribution line data with the meteorological data to generate a space-time fusion feature matrix based on the wire space displacement; dynamically adjusting a preset initial threshold value by using the space-time fusion feature matrix; and performing multi-round verification on the abnormal fluctuation of the electrical parameters of the line according to the fault judgment threshold, generating a fault positioning instruction, performing real-time matching with the topological structure of the line, correcting the priority queue of the fault section based on the switching action feedback data of the feeder terminal, and triggering the fault removal action matched with the priority. According to the method, spatial-temporal feature fusion of current, voltage, weather and spatial displacement data and a dynamic threshold adjustment mechanism are adopted, the fault type can be accurately identified, the fault section can be positioned in real time, and the diagnosis precision and the response speed in a complex environment are remarkably improved.

The invention discloses an optimal scheduling method and system for photovoltaic source network load storage. The method comprises the following steps: acquiring a power distribution network topological structure, photovoltaic output data and a feeder section switch state in each photovoltaic grid-connected scene; calculating the equivalent impedance of a photovoltaic grid-connected point according to the topological structure of the power distribution network and the section switch state of a feeder line to obtain impedance change characteristics; extracting output fluctuation characteristics according to the photovoltaic output data; calculating a correlation coefficient between the impedance change characteristic and the output fluctuation characteristic in each photovoltaic grid-connected scene so as to adjust a feeder section switch state and obtain an initial topology adjustment scheme; calculating transient characteristics of power grid nodes under the initial topology adjustment scheme, and performing iterative simulation on the initial topology adjustment scheme to obtain an optimized topology adjustment scheme; and carrying out optimal scheduling of photovoltaic source network load storage by adopting an optimal topology adjustment scheme. By adopting the embodiment of the invention, the consumption capability of the power distribution network on photovoltaic power generation can be effectively improved, and meanwhile, safe and stable operation of the power grid is ensured.

The invention discloses a power distribution network feeder terminal FTU intelligent monitoring method based on artificial intelligence. The method comprises the following steps that multi-dimensional operation parameter data of a power distribution network feeder terminal FTU are collected in real time through multiple sensors; carrying out dynamic preprocessing on the multi-dimensional operation parameter data to generate a standardized feature matrix, and matching the dimension of the standardized feature matrix with a preset multi-modal deep learning model input layer; inputting the standardized feature matrix into a pre-trained multi-modal deep learning model to generate a real-time monitoring result; wherein the real-time monitoring result comprises fault probability distribution and an equipment health degree score. Compared with the prior art, the method has the following advantages and effects that the data processing precision can be improved, and fault prediction and equipment health assessment can be optimized through the multi-modal deep learning model, so that more intelligent management of the power distribution network is realized.

The invention discloses a distributed power supply access-oriented power distribution network fault distance measurement method and system, and relates to the technical field of power systems, and the method comprises the steps: collecting the electrical parameters and operation states of distributed power supply access nodes in a power distribution network in real time, building a dynamic manifold model based on an ecological niche theory, and carrying out the calculation of the dynamic manifold model; adaptively adjusting manifold learning neighborhood parameters according to power fluctuation data included in the electrical parameters, and updating node ecological niches to reconstruct a dynamic manifold model; based on the reconstructed dynamic manifold model, fault features are extracted from three scales of a current harmonic component, a feed line inter-harmonic propagation path and whole network voltage influence, and a three-dimensional feature vector is generated through fusion of a graph correlation algorithm; based on the expanded fault sample library and the power fluctuation data, constructing a fault transfer relation model to predict a ground fault and a short circuit risk area; a fault source is modeled by adopting a topological neural network, and a fault point distance measurement value is output through state prediction and strategy deduction.

The invention belongs to the technical field of distributed resource control of a power distribution network, and particularly relates to a distributed resource cooperative control method based on layering and partitioning autonomy of the power distribution network. The method comprises the following steps: S100, proposing an active power grid layering and zoning control strategy oriented to feeder autonomy; s200, establishing a power distribution network area power regulation and control information model of hierarchical and distributed control; and S300, realizing distributed resource cooperative control based on layering and partitioning autonomy of the power distribution network. According to the distributed resource cooperative control method provided by the invention, the distributed photovoltaic, user load and distributed energy storage coordinated control in the transformer area is realized by combining a feeder-autonomous-oriented active power distribution network layered and partitioned control strategy and utilizing the edge computing capability of the transformer area intelligent fusion terminal, the distributed photovoltaic absorption capability is improved, and the distributed resource utilization rate is improved. Energy supply and demand imbalance caused by distributed photovoltaic randomness is stabilized, and the economic operation level of a power distribution area is improved.

The invention discloses a hydropower station feeder line fault detection system and method, and particularly relates to the technical field of feeder line detection. A hydropower station feeder line fault traveling wave signal and an amplitude change in a propagation process are collected in real time, an established theoretical propagation model is combined, a traveling wave attenuation rule is calculated, the reasonability of a signal transmission path is judged, frequency spectrum characteristics are extracted through frequency analysis for a signal with an unreasonable path, and the signal is matched with a preset fault traveling wave characteristic library. According to signal path rationality and source authenticity, fault point positioning accuracy is predicted, traveling wave propagation speed and line impedance are dynamically adjusted, deviation caused by clock synchronization errors is corrected, positioning precision is improved, and the problem of inaccurate positioning caused by synchronization signal interference in the prior art is effectively solved. And the stability and economic benefits of a hydropower station power supply system are greatly improved.

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.

A user equipment (UE) communicates with remote endpoints by accessing a space vehicle (SV) in a store and forward (S&F) mode when the SV has no feeder link to a network. The SV includes RAN and CN capability to enable the UE to communicate with an on board proxy. The UE sends mobile originated voice and data to the remote endpoints via the proxy and a second proxy in an S&F center (SFC) and similarly receives mobile terminated data from the remote endpoints. Secure access by the UE to the SV and by the second proxy to a ground network is enabled by providing, to the SV and SFC, UE security key data derived non-reversibly from a security key on the UE USIM. The derived security key data avoids exposing the USIM security key and enables SV access without pre-subscription to an SV operator.

The invention discloses a reconfiguration-based operation optimization method for a power distribution system containing a reconfigurable soft switch. The method comprises the following steps of: 1, constructing a self-energy-storage type reconfigurable intelligent soft switch topology based on asymmetric voltage source converter capacity and feeder line selection; 2, modeling is carried out on the self-energy-storage recombined intelligent soft switch; and 3, modeling the reconfiguration-based flexible power distribution system containing the reconfigurable soft switch, and obtaining an optimal operation strategy of the power distribution system by solving the optimization operation model. According to the invention, the multi-element controllable equipment of the power distribution system can be reasonably utilized to improve the utilization rate of the traditional multi-terminal intelligent soft switch to the capacity of the voltage source converter, and the maximum transmission power of the traditional multi-terminal intelligent soft switch can be improved, so that the operation loss of the power distribution system can be reduced, and the new energy consumption can be improved.

A method, system, and readable storage medium for fault line selection in distribution networks is provided. The method includes: obtaining the zero-sequence current of each feeder and the zero-sequence voltage of the busbar within a preset time window after a fault occurs; using these to process the feeder's short-time window zero-sequence instantaneous power curve cluster in the distribution network through KPCA (Kernel Principal Component Analysis) for dimensionality reduction, determining the principal component scores; and performing BIRCH (Balanced Iterative Reducing and Clustering using Hierarchies) clustering based on these scores to identify whether a feeder is faulted. This clustering process allows for precise and rapid identification of the faulted feeder, even when the current is small, improving detection accuracy. This solves the problem of quickly identifying the faulted feeder in a small current grounding distribution network during single-phase grounding faults.

The invention discloses a digital twin architecture for a satellite-ground collaborative edge network, and belongs to the field of network simulation and intelligent management in the satellite internet. According to the digital twin architecture of the satellite-ground collaborative edge network provided by the invention, the operation state, the resource state and the association state of terminal equipment such as an unmanned aerial vehicle and edge equipment such as a satellite are returned through a sliced feeder line, and a digital twin model integrating a data layer, a model layer and a decision layer is established at a gateway station side. Based on the architecture, a satellite-ground collaborative model training task is oriented, and model training and aggregation are realized by utilizing a block chain technology. According to the architecture, full-life-cycle management of the satellite-ground collaborative edge network is realized, through real-time simulation and optimization decision, the digital and intelligent level of the satellite network is improved, the simulation precision, real-time performance and resource utilization efficiency of the network are improved, and efficient and stable operation of the satellite network in a complex dynamic environment is ensured.

The invention relates to the technical field of carbon emission, and discloses a novel power distribution and utilization system power carbon traceability tracking method and system, and the method comprises the steps: obtaining the real-time operation data of a power distribution network; wherein the real-time operation data of the power distribution network comprises interconnection switch change data, a feeder line connection relation and output data of each power supply; based on the change of the interconnection switch change data and the feeder line connection relation in a preset time window, obtaining an updated power distribution network line topological structure, and determining updated power flow distribution data corresponding to the updated power distribution network line topological structure; determining target carbon reduction amount data based on the updated power flow distribution data; based on the output of each power supply, determining a carbon flow contribution value of each power supply to a load carbon flow; and based on the target carbon reduction amount data and the carbon flow contribution value, carbon flow distribution rule characteristics under different power distribution network architectures are extracted, and a carbon flow distribution knowledge base is established to realize carbon flow traceability tracking. The method has the beneficial effects of real-time optimization and accurate tracking of carbon flow distribution of the power distribution network.

The invention relates to the technical field of antenna equipment, in particular to a multi-frequency resonant circularly polarized antenna array and a communication performance test method thereof, and solves the problem that an antenna cannot communicate through different frequencies at the same time. The antenna array comprises an antenna substrate, a circular antenna assembly and a radio frequency signal line; the circular antenna assembly comprises a feeding point, a feeder line and a radiation unit; when the circular antenna assembly works in a low-frequency working frequency band, the first branch knot and the second branch knot in the radiation unit form a first equivalent resonance length, and when the circular antenna assembly works in a high-frequency working frequency band, the part, close to the feeder line, of the second branch knot in the radiation unit and the third branch knot form a second equivalent resonance length. And when the circular antenna assembly works in a working frequency band with higher frequency, the part, close to the feeder line, of the second branch knot in the radiation unit and the fourth branch knot form a third equivalent resonance length. According to the invention, multi-band radiation and receiving can be realized, and the flexibility of the antenna is improved.

The invention discloses a high-low voltage switch cabinet feeder fault positioning method and system based on transient traveling waves, and belongs to the technical field of power system fault detection and positioning, and the method comprises the steps: synchronously collecting electric and acoustic multi-mode signals, and generating a weighted transient synchronization feature matrix; performing time-frequency transformation and feedback optimization on the matrix, and outputting a multi-scale time-frequency feature set; analyzing the feature set by using an integrated learning network, and outputting a layered preliminary positioning result; convergence to an accurate fault section is carried out through iteration calibration; and finally, fusing multi-model calculation and outputting a comprehensive fault positioning report. According to the method, a technical path of combining multi-modal signal fusion and a physical model is adopted, convergence from fuzzy region division to an accurate position can be realized in stages, and the accuracy, the speed and the anti-interference capability of switch cabinet feeder line fault positioning are remarkably improved.

The invention relates to the technical field of voltage control, in particular to a synchronous main shift gear automatic compensation voltage control system, which comprises an area load information acquisition module, a voltage instantaneous value and a current instantaneous value are periodically read through a voltage transformer and a current transformer which are deployed on a key feeder line or a user side in a specified area, and the voltage instantaneous value and the current instantaneous value are acquired; and calculating to obtain an active power value and a reactive power value, adding a synchronous timestamp and a node position code to each collected value, transmitting and collecting the coded voltage value, active power value, reactive power value and timestamp information, organizing and storing according to a regional and time sequence, and establishing a regional load real-time measurement data set. According to the method, real-time capturing and structured processing of the system call number, the parameter and the return value are carried out on the L4T kernel event triggered by the target process PID, a serialized system call track is obtained, and an execution process recording path mainly driven by process behaviors is formed.

The invention discloses a micro-grid dispatching optimization method and system based on multi-modal information, and relates to the technical field of micro-grid dispatching optimization systems. The method comprises the following steps: performing space-time alignment on power data, energy storage charge state data and power grid operation data to generate a space-time associated multi-modal state matrix; solving the multi-target dynamic optimization model according to the multi-modal state matrix to obtain a hierarchical control instruction and an energy storage charging and discharging plan; decomposing the hierarchical control instruction to obtain and execute a substation-level global optimization task, a feeder-level power mutual aid task and a court-level in-situ balance task of a prediction time domain; correcting the energy storage charging and discharging plan in a short period, or updating the load priority list in a long period to obtain an execution result; and updating the data acquisition rule according to the execution result, and restarting data acquisition according to the updated data acquisition rule. According to the invention, the operation performance of the micro-grid can be improved.

The invention relates to a source-containing power distribution network multi-target collaborative voltage optimization control method based on an FACMAC algorithm, and belongs to the technical field of photovoltaic inversion control. According to the technical scheme, a power distribution network physical system is composed of a plurality of feeder lines, a transformer, a line and a plurality of grid-connected photovoltaic inverters, and each inverter can measure operation information such as local voltage and current in real time; the data acquisition and communication system is used for acquiring node operation data and realizing low-delay communication; the multi-agent reinforcement learning control system is composed of a plurality of distributed agents and factorization centralized Critic modules, and whole-network voltage optimization decision can be carried out in training and execution stages. And the execution unit adjusts the reactive power output of the inverter in real time according to the control instruction. According to the method, the whole-network cooperative regulation and control capability is improved, the training efficiency bottleneck in a high-dimensional scene is relieved, the expression capability on a complex nonlinear coupling relationship is enhanced, and efficient, stable and extensible power distribution network voltage optimization control is realized.

The invention discloses a feeder voltage adjustable potential multi-target evaluation method and device considering a flexible resource operation domain. The method comprises the following steps: constructing a flexible resource adjustment operation constraint model; establishing a deterministic model of node flexible resource operation domain evaluation considering the adjustment cost; in consideration of output of renewable energy sources in nodes and source load uncertainty of loads, a multi-scene stochastic optimization method is adopted to convert a deterministic model into a node flexible resource operation domain stochastic evaluation model, and upper and lower adjustable ranges of node power, baseline power and segmented unit adjustment cost after flexible resource aggregation are obtained; and finally, comprehensively considering feeder network constraint, adjustment cost after flexible resource aggregation and feeder source load prediction, and constructing a multi-target evaluation stochastic optimization model of the adjustable potential of the feeder voltage with minimum node voltage deviation and network power loss to obtain a quantized adjustable range of the feeder voltage.

The invention discloses a power distribution network high-resistance grounding fault detection method and system, and relates to the technical field of power distribution network fault detection. A power distribution network high-resistance grounding fault detection method comprises the following steps: S1, collecting a transient zero-sequence voltage signal of a target feeder line as a to-be-decomposed electric quantity signal; s2, variational mode decomposition is carried out on the to-be-decomposed electric quantity signals, mode functions obtained by decomposing the single to-be-decomposed electric quantity signals are arranged according to the center frequency from low to high, and one-dimensional feature vectors of the to-be-decomposed electric quantity signals are obtained; and S3, inputting the one-dimensional feature vector of the electric quantity signal to be decomposed into a pre-constructed Transform model to obtain a detection result. According to the method, the high-resistance grounding fault and the disturbance condition can be accurately identified, the fault identification accuracy is very high, and the power distribution network fault detection efficiency is improved.

The invention provides a circuit breaker action coil current characteristic diagnosis and analysis system and method. Belongs to the technical field of power system automation and substation state monitoring. The method comprises the following steps: carrying out synchronous wave recording on current of a plurality of circuit breaker actuating coils on a direct current feeder screen side to generate multi-channel synchronous wave recording data; meanwhile, SOE message information is collected, a circuit breaker with specific action is automatically matched and positioned by utilizing a timestamp and action identification information in an SOE message, and action circuit breaker positioning data is generated; the current waveform data of the circuit breaker actuating coil are collected in real time, and a high-precision algorithm is used for feature extraction and analysis, so that abnormal fluctuation in current change can be accurately captured, such as overlarge starting current and unstable holding current, the risk of misoperation or rejection of operation of the circuit breaker caused by abnormal current characteristics is reduced, and the service life of the circuit breaker is prolonged. Electric power system accidents caused by equipment faults are avoided, and the operation reliability of the circuit breaker is improved.

The invention relates to the technical field of electric energy conversion control, and discloses a multi-source load auxiliary power supply power balance control system, which comprises a sampling module, a control module and a modulation module, the sampling module obtains parallel converter branch current and direct current bus voltage; the control module determines a weight by utilizing physical associated association of a bus voltage change gradient and branch current change polarity, corrects a dynamic slope factor determined by a current change rate according to the weight, and performs upper limit clamping on the dynamic slope factor according to a bus voltage margin; according to the invention, the rigid restriction of droop control logic is eliminated, the power deviation generated by asymmetry of feeder impedance is automatically offset while the bus voltage stabilization precision is maintained, and the convergence speed and the certainty of the system during violent load switching are improved.

The invention discloses a flexible interconnected power distribution network active-reactive optimization method considering electric energy quality requirements, and belongs to the technical field of power distribution network optimization operation. The invention aims to provide the active-reactive optimization method for the flexible interconnected power distribution network considering the electric energy quality demand, which simultaneously optimizes the voltage deviation, feeder balance and network loss of the power distribution network through various control means such as soft switching power regulation participation response. The method comprises the following steps: proposing a flexible interconnection system power quality demand subjective and objective weighting evaluation method through calculation of a flexible interconnection system day-ahead index time sequence value, and proposing a flexible interconnection power distribution network active-reactive power optimization model considering a node comprehensive weight through coordinated operation of a traditional network side resource and an intelligent soft switch. According to the invention, the active-reactive optimization method of the flexible interconnection power distribution network considering the power quality demand is analyzed, the effective cooperation of the flexible interconnection device and the controllable network side resource regulation and control is explored, and the influence on the voltage deviation, feeder balance and network loss of the power distribution network is optimized by multiple control means at the same time; and reference is expected to be provided for guiding optimal scheduling of the flexible interconnected power distribution network.

A method may include receiving, by a wireless device, a system information block (SIB) comprising a first non-terrestrial network (NTN) configuration comprising a first value for a validity timer of a cell, a second NTN configuration comprising a second value for the validity timer of the cell, and a third NTN configuration corresponding to at least one NTN neighbor cell. The method may also include starting, based on the receiving the SIB and for the cell, the validity timer with the first value. The method may further include performing a link switch without changing a physical cell identifier (PCI) of the cell. The link switch can include stopping the validity timer with the first value indicated in the SIB and starting the validity timer with the second value indicated in the SIB.

The invention discloses an automatic feeder fault processing method based on a 5G network, and the method improves the fault processing capability of a power distribution network through the high speed, low delay and high safety of the 5G communication network, can quickly position a fault region through the information exchange between power distribution terminals in combination with the fault signals of the power distribution terminals and adjacent terminals, and improves the fault processing efficiency. Therefore, quick isolation of a fault section is achieved, when a fault occurs, the power failure range is controlled within the minimum range, the power failure time is shortened, fault positioning and control decision making are completely and autonomously completed by the power distribution terminal, the whole processing process does not depend on a power distribution main station, and the main station only needs to receive a fault processing result afterwards; according to the method, the network topology structure can be automatically updated when part of power distribution terminals have communication faults, the operation states of all nodes and circuit breakers in a power distribution line can be monitored in real time, remote measurement can be conducted on voltage, current, power factors and the like, and operation parameter curves of all the nodes can be displayed in real time.

The invention relates to a multifunctional draw-out type low-voltage switch device, which relates to the technical field of low-voltage switch cabinets and comprises eight mutually matched instrument rooms, a digital detection module compartment, a transformer power supply wire inlet room, a dual-channel distribution bus room, an interbus wire outlet room, a module unit room, a feeder cable room and an emergency standby cable room. According to the invention, a power distribution mode of split-phase management and layered cutoff protection is adopted, so that maintenance personnel can quickly lock fault loops and fault current characteristics, split the fault loops and replace damaged parts, the maintenance process is efficient and convenient, and the downtime of equipment is shortened.

The invention relates to the technical field of power system fault protection, in particular to a power distribution network distance protection method, system and device considering distributed power supply negative sequence currents, and aims at a medium-voltage power distribution network where a plurality of distributed power supplies are connected in a feeder line T-connection mode. Considering the influence of negative-sequence current output under negative-sequence current control of a distributed power supply in each feeder line on measured impedance, the feeder line with a two-phase short-circuit fault in the power distribution network is identified and positioned through cooperation of additional impedance compensation and distributed power supply negative-sequence reconstruction control, and then a protection device is controlled to cut off the fault feeder line. And implementing distance protection of two-phase short circuit of the power distribution network. The method realizes fault identification and positioning only by depending on locally acquired electrical quantity parameters, does not need to depend on a communication system, considers and ensures autonomy and reliability of distance protection, has the advantages of simple principle, low cost and high reliability, and can adapt to power distribution networks with different fault positions and different distributed power supply access numbers and capacities.

The invention provides a wide-angle scanning dual-circularly-polarized phased-array antenna unit, which belongs to the field of dual-circularly-polarized antennas and comprises a first dielectric layer, a second dielectric layer and a third dielectric layer which are sequentially stacked, the antenna radiator is arranged on the side, away from the second dielectric layer, of the first dielectric layer, the antenna radiator comprises four radiation patches, each radiation patch comprises a metal patch and a loading branch knot, and each metal patch is provided with a slotted structure; the first metal ground layer is clamped between the first dielectric layer and the second dielectric layer, and a cross coupling gap and a first coupling gap and a second coupling gap which are perpendicular to each other are formed in the first metal ground layer; the U-shaped feeder line is clamped between the second dielectric layer and the third dielectric layer, and two ends of the U-shaped feeder line are respectively connected with a coaxial feed column penetrating through the third dielectric layer; the second metal ground layer is arranged on the side, away from the second dielectric layer, of the third dielectric layer; an array is also provided; the problem that a traditional circularly polarized antenna is narrow in impedance bandwidth and limited in polarization is solved.

The invention relates to a distribution line fault section positioning method and device, equipment, a medium and a product. The method comprises the following steps: acquiring voltage and current data acquired by each feeder terminal unit of a fault distribution line in a preset time period; performing differential processing on the voltage and current data to obtain a fault component of voltage and current, and performing optimal phase-mode transformation processing on the fault component to obtain a line-mode component of the fault component; calculating a forward traveling wave and a backward traveling wave of the linear mode component; and determining a fault area of the fault distribution line and a fault section in the fault area according to the front traveling wave and the reverse traveling wave corresponding to each feeder terminal unit. According to the invention, the fault positioning precision can be improved.

The invention relates to the technical field of power distribution network self-healing, and discloses a power distribution network fault self-healing method, system and device based on an intelligent distributed feeder line and a medium. According to the method, distributed feeder terminals installed at nodes of a power distribution network are used for information interaction, a fault type and a fault section are determined based on an information interaction result, a self-healing strategy is executed, and multi-node cooperative positioning and accurate isolation are achieved; if the communication is interrupted, the predicted load value of the current node is calculated based on the historical load data, and the power-off threshold value is dynamically adjusted based on the predicted load value, so that the fault isolation requirement under the complex working condition is effectively met, and the self-healing reliability of the power distribution network in different operation environments is remarkably improved.