1653 results about "Master station" patented technology

The invention provides a Beidou electric power data intelligent acquisition and dynamic communication scheduling method and system. The method comprises the steps that a master station constructs a database and trains a data priority classification model, a channel quality prediction model and an intelligent compression model; a substation collects power data through an edge calculation unit, constructs a skyline candidate set to perform data screening, and performs intelligent classification marking by using a data priority classification model; performing reliability evaluation on the data stream by using a Gaussian mixture model, selecting a compression strategy according to a reliability score, a data type and a priority, and packaging into a data frame; determining a transmission strategy in combination with a channel quality prediction result and a context-aware intelligent switching protocol, and sending a data frame; the master station receives the data frame, performs integrity verification, decompresses and reconstructs the data frame, and feeds back a communication state for model updating; and monitoring the operation state, performing early warning based on the anomaly detection model, and triggering a self-healing strategy. According to the invention, the Beidou communication resource utilization rate and the system reliability are improved.

The invention discloses a distribution network cable traveling wave fault early warning and positioning method and system, and the method comprises the steps: installing a device in a ring main unit, collecting a high-frequency traveling wave current and a power frequency current, and recognizing a grounding fault through a transient zero sequence comparison method and a high-frequency traveling wave polarity algorithm; weak traveling wave signals generated by insulation defects are monitored to carry out hidden danger early warning; traveling wave arrival time difference is measured through double-end distance measurement, and the position of a fault point is calculated in combination with line parameters; and early warning and positioning results are transmitted to a master station through 4G / 5G and 101 / 104 protocols. The system comprises a data acquisition module, a signal processing module, a fault positioning module, a hidden danger early warning module, a master station communication module and a master station module which work cooperatively. The method and the system are high in positioning precision, can realize accurate fault positioning and hidden danger early warning, support live-line installation, are suitable for various scenes, effectively solve the operation and maintenance problem of the distribution network cable, and improve the power supply reliability.

The invention relates to the technical field of hydropower engineering, and discloses a single-core self-healing type looped network networking method and system, and the method comprises the steps: dividing a whole network into a plurality of sub looped networks; each sub-ring network operates independently; the light switch in each sub-ring network adopts an A / B end connection mode; reversely connecting the B end of the last measuring point to the A end of the initial measuring station by using an optical fiber to form a closed physical structure; configuring a protocol on the switch, and controlling a data flow path through the protocol; different sub-ring networks are connected through RJ45 ports, and a CAT5E shielded twisted pair or an Ethernet interface is used; when a certain node or link fails, the protocol automatically triggers a switching mechanism; the master station optical transceiver monitors the states of all nodes in real time and displays fault points through a network management interface. The system comprises a sub-ring network module, a control data flow module and a fault point display module. The problems that a traditional networking method of hydropower engineering is poor in reliability, and self-healing cannot be achieved after an intermediate node is disconnected are successfully solved.

The invention is suitable for the technical field of fault diagnosis, and provides a distributed power transmission line fault diagnosis method based on ground potential end transient information perception, and the method comprises the steps: collecting a broadband transient signal of each node ground potential end of a power transmission line; synchronously acquiring an electromagnetic transient signal and an environmental parameter through the composite sensing unit; performing dynamic filtering correction on the broadband transient signal according to a preset transmission line impedance matching model; a deep learning model is adopted to perform hybrid processing on the corrected broadband transient signals and electromagnetic transient signals, traveling wave head time-frequency features and power frequency abrupt change features are extracted, and fault probability and type classification results are output; verifying a fault positioning result through a multi-stage verification mechanism; the extracted characteristic quantity is preprocessed at the edge side of the detection terminal, and the processed data is transmitted to a master station system through an encryption protocol, so that the fault diagnosis accuracy of the distributed power transmission line is effectively improved.

The invention relates to the technical field of new energy intelligent decentralized control, and discloses a distributed photovoltaic power station intelligent monitoring method and system, and the method comprises the steps: collecting electrical state parameters, and carrying out the normalization processing; performing anomaly detection and island detection based on a multi-dimensional deviation fusion mechanism; generating a power support parameter through a self-adaptive reactive power injection mechanism; under the island mode, loading voltage frequency double-droop combined control; and after the main network is recovered, grid-connected reconnection is realized based on a phase progressive phase locking mechanism. Compared with the prior art that multi-dependence centralized master station judgment and scheduling cannot realize fault isolation and independent operation in time especially under the condition that main network communication is abnormal or frequency fluctuation occurs in a far-end island edge node, the technical problem that fault isolation and independent operation cannot be realized in time in the prior art is solved. Autonomous monitoring of an individual power station level and stable operation of an island are realized, and the stability of the system in a weak network or island operation scene is improved.

The invention provides a transient recording fault intelligent judgment method combining waveform matching and cloud edge cooperation, and relates to the technical field of fault diagnosis. Comprising the following steps: collecting global topological information and fault judgment reference parameters of a master station synchronous power system, and outputting initial transient recording data; carrying out preprocessing and feature extraction on the initial transient recording data, realizing edge side layered fault detection by adopting an improved waveform matching algorithm, and outputting multi-layer fault information; constructing a global fault judgment model, updating the global fault judgment model through the hierarchical model, and optimizing the fault judgment model; multi-level fault information is input into the optimized fault judgment model for accurate fault judgment, and graded response measures are taken for real-time judgment results with different confidence degrees; according to the invention, through deep fusion and system-level optimization of multiple technical streams, a transient recording fault intelligent judgment system integrating real-time performance and accuracy is created.

The invention relates to the technical field of intelligent power grids, and provides an intelligent terminal supporting multi-parameter fusion perception, which comprises a data acquisition module for acquiring parameters of a transformer body and parameters of a far-end intelligent electric meter through multiple types of sensors; the data processing module is used for executing a dynamic window cleaning algorithm on the collected data, and the data fusion module is used for outputting power grid state characteristics by adopting a fixed weight and dynamic weight dual-mode fusion mechanism; a multi-mode wireless communication unit is arranged in the communication module, and the communication module uploads the fused data and the early warning information to a cloud master station platform; according to the method, the defects in the prior art are overcome, a sliding window self-adaptive adjustment mechanism is established, and the window length is automatically adjusted and calculated by analyzing data distribution characteristics in real time; when abnormal fluctuation is detected, the window is contracted to improve the sensitivity, and the window is expanded to enhance the immunity under a steady-state working condition.

The invention discloses a substation dispatching data network security communication method based on quantum tunnel encryption, relates to the technical field of large-scale power grid security assurance, and aims to solve the problems of endpoint security loss, boundary solidification, weak quantum threat resistance and inflexible deployment of a dispatching data network. According to the method, the establishment of a secure session and the encapsulation, encryption and restoration of data are realized by integrating quantum key distribution and a post quantum cryptographic operation module through quantum secure communication terminals deployed in a dispatching master station and a transformer substation. According to the method, application layer encryption and signature are carried out on telecontrol protocol data, a double-layer encryption tunnel is constructed, and transmission of various physical network media is supported. By means of the scheme, end-to-end protection is achieved, quantum attacks are effectively resisted, double encryption is provided, and networking flexibility and smooth evolution are improved.

The present invention belongs to the field of smart power grids and power system automation control. Disclosed is a load emergency control method based on a dynamic event triggering mechanism, which method comprises: on the basis of an indicator of safe operation of a system, performing region division on a distribution network; proposing an adaptive load level division method based on user response willingness, and by taking the minimization of the system operation cost of the distribution network as an objective, establishing a precise load control model of the distribution network; and using a dynamic event triggering mechanism to reduce communication between substations and a master station of the distribution network, so as to realize effective exchange and precise execution of load control policy information. The method of the present invention can precisely realize precise control of a load, and can effectively alleviate communication transmission pressure of a distribution network, thereby ensuring the stability of a power grid and the continuous supply of critical loads.

The invention relates to the field of power distribution control, and particularly discloses a self-healing control system and method based on multi-agent collaboration, and the system comprises a regional agent and a local agent which are disposed in a power distribution network. Wherein the local intelligent agent is configured to obtain real-time operation data of a monitoring point in the power distribution network, and perform rapid fault detection on the real-time operation data; the regional intelligent agent is configured to fuse the fault analysis information of the plurality of local intelligent agents to determine fault position information when the power distribution network has a fault, generate a self-healing control strategy according to the fault position information, and send the self-healing control strategy to the local intelligent agents for execution; through cooperative work of the distributed intelligent agents, the problems of low response speed, low positioning precision, weak autonomous capability and the like in traditional power distribution network fault management are solved. In addition, the system does not need to depend on centralized control of a master station, can still operate autonomously when communication is interrupted, and improves the efficiency and reliability of fault processing through cooperation of multiple agents.

The invention discloses a source network load storage coordination control system and method for high-capacity multi-network energy storage combined transportation. The system comprises a master station layer which is responsible for receiving a superior scheduling instruction, issuing an emergency control instruction, and performing economic optimization scheduling and rapid coordination control on photovoltaic and energy storage resources; the substation layer is responsible for accessing photovoltaic, load and energy storage resource information and decomposing and issuing superior instructions to realize a local frequency voltage control function; and the terminal layer is used for receiving a generator tripping command or a power regulation command issued by the emergency state monitoring device. The system can effectively improve the network-related performance of a new energy station, enhance the stability and reliability of a power grid, improve the absorption capability of new energy, and optimize the economical efficiency of the system. Through combined operation of the network construction type energy storage equipment and the new energy, effective support for the power grid is realized, the problem of coordination control of parallel operation of multiple voltage sources is solved, oscillation and circulation are avoided, and the overall performance and the power supply guarantee capability of the system are improved.

The invention provides a dual-mode communication encryption synchronization method of power internet of things and a power internet of things system, and the method comprises the steps: a power terminal sends an identity authentication request to a master station after completing initialization, so as to carry out the bidirectional identity authentication with the master station; after the bidirectional identity authentication is completed, the power terminal and the master station negotiate to generate a session key for encrypting transmission data; the power terminal encrypts the collected service data through the session key to obtain encrypted service data, and sends the encrypted service data to the master station; and the master station decrypts the received encrypted service data based on the session key to obtain and store the service data. In the mode, through bidirectional identity authentication and session key negotiation between the power terminal and the master station, end-to-end encryption protection of service data can be realized, so that the security and stability of equipment communication in the power Internet of Things system are effectively improved.

The invention discloses a main station big data-based low-voltage transformer area topology hierarchy identification method and system, and the method comprises the steps: constructing a multi-dimensional voltage feature vector through the voltage time sequence data, collected by a main station side, of a transformer area general meter and a user ammeter, and forming an electrical feature matrix through feature extraction; and on the basis, judging the station area affiliation and the phase line affiliation of the user electric meter through similarity calculation. Then, generating a stable consensus cluster based on multi-time window clustering and the copolymerization matrix, and mapping the cluster into a virtual electric meter box node; constructing a minimum spanning tree and carrying out directionalization to obtain an initial radial topological structure; further introducing an electrical consistency criterion based on correlation of voltage drop and subtree current, performing multi-candidate structure optimization on the preliminary topology, and finally obtaining an optimal transformer area topology hierarchical structure consistent with a physical rule; high-precision automatic identification of the low-voltage transformer area topology can be realized without manual participation, and effective support is provided for digital operation and maintenance of a power distribution network.

The invention provides a method for identifying a power grid frequency signal assessment standard, and the method comprises the steps: constructing a system architecture composed of a master station, a substation and a communication network, and achieving the initialization of equipment through a finite-state machine; the method comprises the following steps: collecting power grid frequency, power generation side frequency difference and communication state multi-dimensional data, processing signals by applying median filtering, a sliding window and an EWMA algorithm, introducing fuzzy logic to evaluate a system state, and dynamically adjusting a response strategy; an improved PID algorithm is adopted to track frequency change, feed-forward compensation and PSO parameter optimization are combined, a hidden Markov model is utilized to predict a communication fault, and local mode switching is triggered in advance; main station, mixing and local three-state switching is carried out according to communication states and load changes, and a frequency modulation dead zone is automatically adjusted according to power grid loads through a dynamic threshold value self-adaptive algorithm; the control effect is verified by using a digital twinning technology; and the safety and reliability of the system are guaranteed by optional quantum encryption and active-active redundancy design. The whole scheme effectively reduces the power loss of power generation enterprises, and maintains the safe and stable operation of a power grid.

The invention relates to the technical field of new energy power system control, in particular to a distributed photovoltaic cluster intelligent control device, method, equipment and medium, and the device comprises a northbound communication unit which is configured to communicate with a power grid dispatching master station and is used for receiving and analyzing a dispatching instruction issued by the power grid dispatching master station; the southbound coordinated control unit is configured to communicate with photovoltaic cluster edge control equipment and is used for collecting operation data of each inverter in a photovoltaic cluster; the autonomous decision-making unit is used for collecting voltage, frequency and power flow data of the power grid in real time and generating a control strategy based on a dynamic priority algorithm; and the execution unit is used for executing the control strategy. The method has the beneficial effects that the intelligent control level of the distributed photovoltaic cluster can be remarkably improved, the stability of a power grid and the safety of equipment are enhanced, and the method has important significance in promoting large-scale application of distributed photovoltaic power generation.

The invention discloses an automatic intelligent point alignment method for identifying a G file of a master station based on AI, and the method comprises the steps: analyzing a G file of a primary wiring diagram of a transformer substation through an AI server, and building a mapping relation between equipment topology and screen coordinates; host images are monitored in real time through computer vision, and automatic navigation of target intervals is achieved through an intelligent mouse module; remote signaling and telemetering signals are identified through an AI analysis system; and after the test parameters are configured by the management and control platform, an instruction is issued through the simulation terminal, and a monitoring background return value and an AI identification result are automatically compared. According to the method, the problems of low efficiency and high error rate of traditional manual debugging are solved, and full-process coverage, full-loop verification, full-channel comparison and full-information verification can be carried out on three-remote information of the transformer substation.

The invention discloses a broadband oscillation risk prediction method and system based on wide-area broadband measurement, and relates to the technical field of wide-area broadband measurement. The method comprises the following steps: firstly, collecting grid-connected point high-frequency synchronous phasor data by using a PMU device at a photovoltaic field station side, and performing filtering and time mark calibration processing to eliminate noise and ensure time consistency; performing spectrum correlation analysis on wide-area multi-station PMU data based on time mark synchronization, screening broadband oscillation candidate features, and transmitting the broadband oscillation candidate features to a scheduling master station prediction network; and finally, inputting the real-time operation parameters of the power grid and historical oscillation sample data into the network, carrying out risk assessment and trend prediction, and assisting broadband oscillation early warning and prevention and control decision. According to the method, efficient fusion of multi-area equipment data is realized, a full-system broadband dynamic monitoring view angle is formed, the oscillation dynamic state is captured in real time, the risk is pre-judged, the broadband oscillation risk caused by new energy power fluctuation and power electronic equipment transient response can be dealt with, and the dynamic monitoring requirement of a novel power system is met.

The invention discloses an automatic joint debugging acceptance system for a power distribution automation terminal, and relates to the technical field of power system automation. A multi-protocol communication module is in bidirectional communication with a main control module and an intelligent test execution module, so that three-way data interaction among a main station system, the power distribution terminal and a test device is realized; after receiving the instruction of the main control module, the intelligent test execution module outputs an analog quantity / state quantity signal conforming to the terminal interface standard through a self-adaptive quantity adding unit, and applies test excitation to the power distribution terminal through a hot plug type interface array; the data verification engine is directly connected with the multi-protocol communication module, carries out three-level verification on feedback data of the master station, and transmits a verification result back to the master control module to trigger strategy iteration; the cloud co-processing unit obtains verification data through the main control module and executes cross-regional task scheduling and block chain evidence storage operation, the long-standing problems of low efficiency and low precision of power distribution terminal joint debugging acceptance are solved, and key technical support is provided for construction of an intelligent power system.

The invention discloses an area health detection system and method based on edge calculation, and relates to the technical field of intelligent monitoring of power systems. According to the method, the edge computing terminal is deployed in the power distribution area, real-time monitoring and health assessment of the operation state of the area are achieved, and support is provided for operation and maintenance decision making in combination with big data analysis and model prediction of a master station platform. The system has the advantages of being real-time, efficient, comprehensive in perception, intelligent in decision making, edge autonomy, edge cloud collaboration and the like, and the operation management level and the power supply reliability of a power distribution area can be remarkably improved.

The invention discloses a distribution network-oriented traveling wave fault location centralized analysis system, which relates to the technical field of power system fault location and comprises a centralized master station and a plurality of monitoring terminals. The monitoring terminals are deployed at different node positions of a power distribution network, and synchronously collect fault traveling wave signals and upload the fault traveling wave signals to the centralized master station. The centralized master station comprises a topology modeling module, a data preprocessing module, a wave head identification module, a candidate branch screening module, a matching evaluation module and an accurate positioning module. According to the invention, through establishing a full-process quality tracking and adaptive weighting mechanism from preprocessing to accurate positioning, a system can adjust a positioning strategy according to a distribution network topology structure and a signal state based on a two-dimensional comprehensive evaluation system of topology sensitivity and signal quality; high fault positioning accuracy and reliability are kept in a complex environment of the distribution network, and the robustness and practicability of the system are improved.

The invention relates to a multi-stage extension method and device for an IO-Link slave station, computer equipment and a storage medium. The method comprises the following steps: constructing a chained encapsulation path for process data transmission in an IO-Link first-stage slave station; the first-stage slave station receives the output process data sent by the master station and transmits data segments, which do not belong to the ontology, in the output process data to the lower-stage slave station in an unvarnished transmission manner; the last-stage slave station collects input process data and uploads the input process data to the upper-stage slave station, and each middle slave station receives the input process data sent by the lower-stage slave station, splices the input process data of the stage to the input process data and uploads the input process data to the first-stage slave station stage by stage; the first-level slave station uploads a complete data frame to the master station when completing input data aggregation; and when any slave station detects that the lower-level module is offline, initiating re-scanning according to pre-stored structure mapping information, and reconstructing a data encapsulation path and recovering a forwarding process after identifying the corresponding module. The method and the device have the effect of improving the inter-site communication efficiency.

The invention discloses a Modbus master station control system for multi-queue task scheduling, and relates to the technical field of automatic control. A multi-queue task scheduling architecture is adopted, firstly, hierarchical classification is performed on Modbus communication tasks according to functional characteristics of the Modbus communication tasks, then different types of tasks are placed in independent task queues with different scheduling strategies, and finally, the tasks are scheduled by a task scheduling manager according to priorities and scheduling strategies of the queues. And in combination with an intelligent optimization mechanism based on historical communication performance data analysis, tasks are efficiently and orderly scheduled and executed, so that the communication efficiency of the Modbus network, the emergency task response speed and the overall reliability of the system are remarkably improved.

The invention discloses an operation ticket intelligent analysis and sequence control logic closed-loop verification method and system, and belongs to the field of power system automation technology and power transformation operation and maintenance, and the method comprises the steps: obtaining a typical interval sequence control operation ticket and an SCD file; identifying the typical interval sequence control operation order through a BERT-ERNIE multi-head text extraction model, and generating a corresponding test script; querying corresponding object path information in the SCD and completing association; constructing a closed-loop acceptance environment; simulating a local operation scene and initiating sequence control operation according to the associated test script to carry out correctness acceptance; on the basis of a similar interval operation ticket generation tool, carrying out one-key replacement on part of description information of the test script passing acceptance, generating similar interval sequential control operation tickets to be accepted, and carrying out correctness acceptance; and simulating a sequence control master station address in the closed-loop acceptance environment, issuing a sequence control instruction to a sequence control host based on the sequence control operation order passing correctness acceptance, and automatically virtualizing the test environment to perform forward and reverse closed-loop automatic acceptance.

The invention provides a distributed photovoltaic data acquisition method and device based on adaptive encryption communication and multi-link redundancy, and the method comprises the steps: collecting real-time power generation data, equipment state data and environment parameters of a photovoltaic system through a multi-source sensor, and forming original data; an MQTT over TLS adaptive encryption communication protocol is adopted to perform end-to-end encryption on original data, and dynamic key management is combined to ensure transmission security; based on a dynamic link selection algorithm, encrypted data is transmitted to a power master station through 4G and LoRaWAN double-link redundancy, so that the transmission reliability is improved; and the master station side decrypts the data and then integrates the data to a database to support power grid dispatching and predictive analysis. According to the invention, the problems of safety and reliability in distributed photovoltaic data acquisition are solved, and the method is suitable for a smart power grid monitoring scene with high reliability and high real-time performance requirements.

The invention discloses a power distribution network intelligent early warning and section positioning method based on transient recording data, and the method comprises the steps: carrying out the fault type recognition through the comprehensive analysis of the transient recording data, combining with an advanced algorithm, such as a relevance vector machine (RVM), carrying out the line abnormality recognition through a deep neural network, and accurately extracting the feature information of fault data, the limitation of an existing power distribution automation master station fault studying and judging method is effectively overcome, the problem of inaccurate fault studying and judging caused by the data problem of the intelligent terminal is avoided, the accuracy of fault studying and judging of the power distribution automation master station is integrally improved to a relatively high level, a reliable basis can be provided for fault processing, and the working efficiency is improved. Multi-source data such as a wave recording file, a topological structure and remote signaling and telemetering are fully fused, the operation state of the power distribution network is analyzed from multiple angles, compared with an analysis method of a single data source, the actual situation of the power distribution network can be reflected more comprehensively and accurately, and the reliability and accuracy of fault diagnosis and positioning are improved.

The invention discloses a 10kV medium-voltage power distribution network power line carrier communication method and system based on adaptive OFDM (Orthogonal Frequency Division Multiplexing), and the method comprises the steps that a master station sends a detection frame to a slave station, and the slave station carries out the CE (Channel Estimation), and obtains the CSI (Channel State Information); the method comprises the following steps of: dividing a broadband channel into a plurality of parallel orthogonal subcarriers, and dynamically allocating a modulation mode, a modulation order and a forward error correction (FEC) coding rate for each subcarrier of OFDM (Orthogonal Frequency Division Multiplexing) by adopting a water injection algorithm based on channel state information (CSI); adopting two-stage automatic gain control (AGC) to condition a signal received from a power line; and carrying out dynamic frequency hopping between a frequency band with serious interference and an idle frequency band based on a continuous spectrum sensing result. Compared with the prior art, through the multi-dimensional adaptive technology, the communication system can sense the channel state in real time and dynamically adjust the communication strategy, so that a stable communication link is established in a severe power grid environment.

The invention discloses a synchronization method and device for time synchronization of a network system, and relates to the technical field of computers, and the method comprises the following steps: when a master station sends a dynamic compensation synchronization frame, recording a compensation sending timestamp in a sensing identification field of a sending end; when the frame is received and transmitted from the station, the identification field is sensed at the port to determine a compensation receiving timestamp and a compensation transmitting timestamp. And the slave station identifies the dynamic compensation synchronization frame after reverse return, calculates dynamic compensation time information based on the compensation receiving timestamp and the compensation sending timestamp corresponding to the slave station, and reads and writes the dynamic compensation time information to a corresponding field. And the master station analyzes the returned dynamic compensation synchronization frame, aggregates the dynamic compensation time information of each slave station, and solves the dynamic compensation values of the master and slave stations in combination with the fixed link delay. And the master station corrects a local high-precision clock according to the data, and writes a compensation value into a local time correction register of the slave station to trigger a hardware counter to correct so as to complete synchronization of the master and slave clocks. By realizing dynamic residence separation, the problem of overlarge error is solved.

The invention provides a power distribution terminal remote upgrading method and device, a storage medium and a program product, and the method comprises the steps that a power master station establishes communication connection of a service channel and a management channel with a power distribution terminal, the service channel is used for transmitting real-time service data, and the management channel is used for transmitting a control instruction and data content of an upgrading file; the two channels operate independently and communicate with each other without interfering with each other; the power master station sends an upgrade activation instruction to the power distribution terminal through the management channel, and remote upgrade is started; the power master station divides a to-be-upgraded program file into a plurality of data segments and sends the data segments to the power distribution terminal through the management channel in sequence; the power distribution terminal receives and caches the multiple data segments, integrity verification is carried out after all the data segments are received, and program updating operation of the power distribution terminal is started after verification is passed. According to the method, the situation that real-time communication resources are occupied in the upgrading process is effectively avoided, and interference on real-time services is prevented. The method is suitable for centralized upgrade management in a large-scale distribution automation system.

The invention discloses an intelligent master station self-healing control method and device and a computer program product, and the method comprises the steps: building a self-healing control evaluation index system which comprises a response time index, an accuracy index and a validity index; constructing a self-healing control model based on the index system, wherein the self-healing control model comprises an action judgment logic, a switch refusing judgment logic and a fault recovery constraint condition; a multi-objective ant lion optimization algorithm is improved, an initial population is generated through chaotic mapping, and algorithm parameters are dynamically adjusted; and solving the self-healing control model by using an improved algorithm, generating a Pareto frontier solution set through multi-objective optimization, and outputting an optimized fault isolation and power restoration control strategy. Through deep combination of algorithm optimization and model constraint, high precision, quick response and global optimization of self-healing control are realized, the reliability and anti-interference capability of a power system are remarkably improved, and continuous and safe operation of a power grid under a fault is ensured.

The invention provides a power distribution network differential protection data compression method, device and equipment and a medium, and the method comprises the steps: obtaining the sampling data of a power distribution network, carrying out the feature classification of the sampling data at an edge node of the power distribution network according to the protection demands, and obtaining a fundamental current vector, high-frequency transient energy and an accurate timestamp; acquiring a real-time network bandwidth and a fault risk assessment result of the power distribution network, and selecting a compression mode according to the real-time network bandwidth and the fault risk assessment result; according to a compression mode, sequentially carrying out characteristic grading compression on the fundamental wave current vector, the high-frequency transient energy and the precise timestamp to obtain a characteristic data packet of the power distribution network; and transmitting the characteristic data packet to the master station side module through a hybrid communication network. The sampling data is divided into the fundamental component, the high-frequency transient component and the precise timestamp, the compression priority is distributed according to the differential protection requirement, the performance bottleneck caused by the fixed compression rate is broken through, and the redundant data volume during differential data compression is effectively reduced.