513 results about "Smart substation" patented technology

The invention relates to a substation equipment fault early warning method and system, and belongs to the technical field of intelligent substations, and the method comprises the steps: obtaining the target operation state data of substation equipment, the target operation state data comprising target sensor data and target image data obtained by an unmanned plane which carries out the field inspection of a substation; inputting the target operation state data into a completely trained fault diagnosis model, extracting spatial features of target image data by the completely trained fault diagnosis model through a long-short-term memory network, extracting time features of target sensor data through a convolutional neural network, and splicing and fusing the spatial features and the time features to obtain a fault diagnosis result; outputting a fault prediction result; and performing early warning based on the fault prediction result. According to the invention, the fault diagnosis model is combined with the spatial features of the image data and the time sequence features of the sensor data to carry out early warning on the substation equipment fault, and multi-modal data fusion and fault prediction of the substation equipment are realized.

The invention discloses an intelligent substation safety measure checking method and system, and the method comprises the steps: obtaining a secondary system topological structure, equipment information and historical safety measure ticket data of a substation, and constructing a quaternary knowledge graph; according to the quaternary knowledge graph, extracting multi-modal features of the maintenance task and identifying the type of a maintenance scene by combining a memory guide reflection decision reasoning mechanism, optimizing a rule reasoning process through a distributed guide local search algorithm, and generating an optimal safety measure operation set for a specific maintenance scene; automatically identifying a correlation loop and determining a minimum safety isolation range through a memory guide decision reasoning mechanism, dynamically generating a minimum safety operation set according to the real-time state of the equipment, and adaptively adjusting operation steps; and an operation dependency relationship model is constructed in combination with unwrapping variational multi-graph representation learning and a distributed guide local search algorithm, and operation sequence compliance verification, risk level assessment and dynamic visual early warning are realized. According to the invention, accurate formulation, dynamic adjustment and risk early warning of safety measures of the intelligent substation are realized.

The invention relates to the technical field of transformer substation monitoring and early warning, in particular to a monitoring and early warning method for an intelligent transformer substation and a control system of the monitoring and early warning method. And comprehensive coverage of the equipment state and the environment data is realized. Time sequence modeling is carried out through the long short-term memory network (LSTM), the dynamic trend of operation parameters is effectively captured, potential anomalies are recognized, the accuracy of equipment anomaly judgment is remarkably improved by combining the semantic segmentation technology and equipment type feature extraction, and the false alarm rate and the missing report rate are reduced. Through combination of a rotatable camera and a convolutional neural network (CNN) and multi-modal data fusion, accurate personnel identity recognition and behavior path tracking are realized, non-staff and abnormal behaviors are intelligently detected, and potential security threats are early warned in time.

The invention relates to the technical field of transformer substation intelligent patrol, and provides a transformer substation three-dimensional fusion patrol method and system based on digital twinborn and autonomous identification. According to the method, a fused three-dimensional model is constructed through multi-source data acquisition and a three-dimensional Gaussian splash algorithm, and in combination with deep learning-based point cloud semantic segmentation and clustering, an equipment-patrol means coverage relationship is generated. Creating a virtual inspection proxy object based on a three-dimensional virtual environment, and controlling terminals such as an unmanned aerial vehicle to collect real-time video image data; the system carries out automatic identification on pictures, automatically completes equipment level alignment and standard point location identification, generates fine control of camera zooming, horizontal rotation, pitching and the like, and realizes standardized view finding and acquisition. By combining an enhanced recognition algorithm, traditional image processing and a deep learning model are fused, model self-evolution is realized through incremental learning, flexible expansion and collaboration of various patrol terminals are supported through a unified interface, and refined, real-time and intelligent patrol operation and maintenance requirements of an intelligent substation are met.

The invention provides a remote intelligent operation monitoring method and system for an intelligent substation, relates to the technical field of intelligent operation and maintenance of substations, and relates to multi-source heterogeneous sensing, depth feature modeling, fault prediction evaluation and model self-optimization. According to the method, electrical, environmental and meteorological data are collected through heterogeneous sensors, a structured original data set is constructed, time sequence prediction is carried out in combination with a convolution-LSTM model, a Transform fusion network is utilized to output a fault probability and a confidence interval, online early warning and response control are realized, and the method has a federated learning driven adaptive updating capability.

The invention discloses an intelligent substation relay protection evaluation method based on multi-source data fusion, and relates to the technical field of power system protection, and the method comprises the steps: obtaining the working state information of all relay protection equipment in a substation; constructing a fusion planar graph of multi-source data in the transformer substation based on an equipment topological structure graph and real-time sensor data in the transformer substation; performing real-time state monitoring and evaluation on each relay protection device of the transformer substation by using the fusion plane graph of the multi-source data in the transformer substation, and generating a health evaluation model of the relay protection devices; generating fault early warning information of the transformer substation relay protection equipment; and the response time, the action accuracy and the equipment stability of the relay protection equipment in the transformer substation are evaluated and optimized through the data fusion and evaluation model. According to the invention, the real-time monitoring and fault early warning capabilities of the relay protection equipment are improved, the maintenance and management strategies of the equipment are optimized, and powerful technical support is provided for safe operation of a power system.

The invention discloses a thermochemical coupling intelligent transformer substation dehumidification and refrigeration system, and relates to the technical field of transformer substation dehumidification and refrigeration systems, the thermochemical coupling intelligent transformer substation dehumidification and refrigeration system comprises a shell, a cooling block, a fan, an air inlet, an air outlet and an air adjusting assembly, the inner wall of the shell is provided with a processing box, and the inner wall of the processing box is provided with the cooling block; a draught fan is installed on the inner wall of the treatment box, and an air adjusting assembly is installed on the inner wall of the treatment box. Cooling is conducted through a cooling block through wind power, a first motor rotates to drive a threaded rod to rotate, the threaded rod rotates to drive a threaded sleeve to move, the threaded sleeve moves to drive an L-shaped rod to move, the L-shaped rod moves to drive a first sliding barrel to move, and the first sliding barrel moves to enable the L-shaped rod to drive a flow guide plate to move through a rotating shaft; the flow guide plate moves to change the position, and cooled air is directionally discharged through the air outlet through blocking of the flow guide plate, so that the functions of conveniently adjusting the refrigeration position and improving the cold position applicability of the dehumidification refrigeration system of the transformer substation are achieved.

The invention discloses an intelligent substation configuration file checking method and system based on artificial intelligence, and relates to the field of artificial intelligence, and the method comprises the steps: responding to an input signal of a to-be-checked configuration file, extracting n character strings of the to-be-checked configuration file, carrying out the semantic analysis of each character string, and obtaining a semantic analysis result, n is an integer greater than 1; key features of the analysis result are extracted from the semantic analysis result, feature learning is conducted on each key feature through a preset feature learning algorithm, and high-level feature representation of each key feature is obtained; combining all high-level feature representations of the analysis result to obtain a feature set; and inputting the feature set into an artificial intelligence model to obtain a proofreading result of the to-be-checked configuration file and a preset reference configuration file. According to the method and the device, the problem of huge resource consumption caused by a traditional checking mode can be solved in the face of large-scale data or complex comparison requirements.

The invention belongs to the technical field of intelligent substations, and particularly relates to an intelligent nuclear phase method and system for a substation. According to the method, a dynamic priority evaluation model is constructed, multi-source data of four kinds of basic factors including voltage phase difference, environment temperature and humidity, equipment vibration and historical errors are synthesized, and a fuzzy comprehensive evaluation method is utilized to calculate weights and dynamically sort the weights; a multi-port phase scattering model is constructed based on transformer substation topology, impedance mismatch points are analyzed by means of a Smith chart, and dual-stage optimization is implemented; constructing a three-layer decision input set according to the optimization model, designing a fuzzy logic driven adaptive rule engine, dynamically outputting a working condition level and matching a nuclear phase strategy; multi-dimensional quality evaluation, dynamic updating of factor weights and optimization of fuzzy model parameters are carried out by monitoring indexes such as reflection coefficients in real time, abnormal mode recognition and compensation strategy solidification are realized by fusing LSTM and a graph neural network, a self-evolution closed-loop system is formed, and finally, crossing of a nuclear phase process from accurate matching to autonomous evolution is realized.

The invention discloses a smart power grid fault-tolerant communication system and method based on multi-operator channel switching, and the method comprises the steps: collecting heterogeneous network and equipment state data through an intelligent sensing layer, achieving the network quality prediction and multi-target optimization through an AI decision engine, integrating spectrum resources and network slices through a resource cooperative control layer, and achieving the fault-tolerant communication of a smart power grid. The edge execution layer executes hardware-level fast switching, the emergency disaster recovery layer provides multi-dimensional fault recovery, and the security trusted layer guarantees data security. The method breaks through the bottleneck of traditional network switching, realizes high-reliability and low-delay transmission of power business, is suitable for scenes of intelligent substations, distribution network automation and the like, and remarkably improves the fault-tolerant capability and resource utilization efficiency of intelligent power grid communication.

The invention belongs to the technical field of computer vision. The invention provides a switch cabinet state identification method based on small target perception. According to the embodiment of the invention, the SPD non-stepping convolution is introduced into the backbone network of the YOLOv8 to replace the stepping convolution in the original backbone network, so that the feature extraction capability of the model is improved, and the loss of small target features is reduced. An SPPF module in a backbone network of YOLOv8 is improved into a multi-scale feature extraction module MSFEAC, so that multi-scale perception of a target can be realized, a receptive field is expanded, and global information of a small target of a switch cabinet indicator lamp is better reserved. And a multi-scale feature extraction module and a small target detection layer are added, so that the network can pay attention to more detail information, thereby improving the recognition effect of a small target, namely the state of a transformer substation drainage wire bolt and each indicator lamp of a switch cabinet, and being more suitable for an intelligent transformer substation application scene.

The invention discloses an intelligent substation pressing plate state detection method and system based on image recognition, and the method comprises the steps: obtaining an image of a substation control cabinet, dividing a detection region according to the arrangement rule of pressing plates in the image, and constructing a region index containing the positions and switching states of the pressing plates; the current position and the initial position of the pressing plate are compared, the position offset is calculated, the detection areas with the position offset exceeding the preset range are screened and marked as abnormal areas, and abnormal feature data are formed; the abnormal feature data and the correction judgment rule are utilized, and an optimized dynamic judgment rule is generated in combination with a preset range of commissioning and retreating state judgment in the commissioning and retreating state first correction judgment rule of the abnormal area; applying the dynamic judgment rule to all the detection areas, judging whether the current position and the on-off state of the pressing plate conform to the judgment rule or not, marking the pressing plate which does not conform to the judgment rule, correcting the judgment rule for the second time in combination with the marked abnormal characteristics, forming an updated dynamic judgment rule, and outputting a detection report.

The invention relates to the technical field of intelligent substations, in particular to a rapid detection system, method and equipment for a process level switch of an intelligent substation, and aims to solve the problem that existing detection only depends on network transmission performance indexes and cannot comprehensively evaluate the business function correctness and operation reliability of the switch. The system, the method and the equipment comprise a power system fault scene modeling and message generation unit, a high-precision synchronous message injection and capture unit, a multi-dimensional state association and comprehensive judgment unit and a diagnosis report generation unit. According to the scheme, comprehensive detection, high-fidelity scene and deep diagnosis are realized, and service reliability determinacy evaluation is provided.

The invention discloses a patrol detection system of an intelligent substation circuit device, and relates to the field of patrol detection of the intelligent substation circuit device, the patrol detection system comprises a patrol detection frame, the patrol detection frame comprises a detection unit, a patrol unit and an analysis unit, the detection unit is used for carrying out defect identification and voiceprint detection on an intelligent substation circuit, and the patrol unit is used for carrying out patrol detection; the detection unit comprises a voiceprint detection module and a voiceprint positioning module. The voiceprint detection module is used for obtaining voiceprint signals of the intelligent substation and the circuit in real time. Through the arrangement mode that the voiceprint detection module, the acousto-optic fusion module and the analysis unit are matched with one another and the voiceprint detection technology, the problems that abnormal voiceprint features of potential faults cannot be found in time when transformer substation equipment is manually inspected and heard are solved, meanwhile, fusion of multiple physical signals such as voiceprint, vibration and an electromagnetic field is facilitated, and the safety of transformer substation equipment is improved. And a cross-modal correlation model is constructed in combination with the graph neural network, so that compound faults can be distinguished accurately.

The invention relates to a method for constructing and visualizing a knowledge graph of a secondary virtual loop of an intelligent substation, which solves the problems of incomplete visualization, incomplete relevance, poor readability and the like in the prior art, and adopts the technical scheme that the method comprises the following steps of: acquiring an SCD configuration file and an optical fiber link table of the intelligent substation; reading and analyzing the SCD configuration file, and obtaining virtual loop configuration information of the whole station; matching the virtual loop with the soft pressing plate based on the configuration information of the virtual loop of the whole station; matching the physical loop with the virtual loop based on the total station virtual loop configuration information and the optical fiber link table; constructing a knowledge graph based on the total station virtual loop configuration information; and constructing a total station secondary equipment virtual loop configuration database based on the knowledge graph. The method has the advantages that the configuration information of the virtual loop of the whole station can be completely presented in a graphic form, the visualization degree of the secondary virtual loop of the intelligent station is effectively improved, and the working efficiency of on-site technical improvement, defect elimination, verification and the like is improved.

The invention discloses a mutual inductor digital output synchronism detection method and system, particularly relates to the field of electric power engineering detection, and is used for solving the problem of synchronism deviation concealment caused by phase-locked loop drift of digital output of an electronic mutual inductor in an intelligent substation. A uniform time frame is utilized to penetrate through the whole process, synchronization deviation is continuously mapped into a phase migration track, long-term drift and instantaneous jitter are analyzed on two scales by means of phase shift stacking quantity and pulse dispersion rate, two kinds of heterogeneous features are converted into a single drift tradeoff coefficient through Gaussian process regression, and a stability domain threshold value is dynamically revised according to the single drift tradeoff coefficient; after the threshold is triggered, the minimum adjustment amount is immediately issued to the phase-locked loop and is synchronously verified, so that the clock adjustment action and the drift monitoring are mutually nested; the protection device continuously receives the stable sampling sequence, the tripping misjudgment rate is remarkably converged, the inspection period is prolonged, and additional hardware investment is not needed.

The invention relates to the technical field of intelligent substation fault positioning, and discloses a fault positioning method based on Sdd-Scd fusion, which comprises the following steps of: 1, analyzing an SDD file and an SCD file of an intelligent substation, extracting physical link information and logic link information, and establishing a mapping relationship between a physical port and logic signal subscription; 2, based on the mapping relation between the physical link and the logic link, a fault propagation matrix M is constructed, and elements of the matrix M represent the fault propagation probability between equipment nodes; the fault propagation model is constructed based on SDD-SCD fusion, the fault propagation probability is calculated through the fault propagation matrix M, a multi-fault scene under a complex topological structure can be effectively handled, the limitation that the prior art is only based on an expert rule or a simple graph theory algorithm is overcome, and the accuracy and reliability of fault positioning are improved.

The invention belongs to the field of power dispatching management, and discloses an intelligent substation energy management method based on cloud computing, which comprises the following steps: constructing a'prediction-dispatching 'game framework; a three-dimensional uncertainty cloud picture with space-time coupling characteristics is generated by fusing regional meteorological data and output correlation of adjacent substations, and an edge layer solves a Nash equilibrium point based on the three-dimensional uncertainty cloud picture to generate a scheduling scheme; performing dynamic electrical partitioning based on the feeder line voltage-power sensitivity matrix to obtain a partitioning result, implanting programmable impedance characteristics in a photovoltaic inverter and an energy storage power conversion system, and performing equipment autonomous response based on a scheduling scheme; the source load fluctuation event chain model carries out cross-time-scale linkage control based on a partitioning result; and updating a scheduling scheme based on an execution result, and adjusting an equipment operation state based on the updated scheduling scheme, thereby realizing intelligent substation energy management based on cloud computing.

The invention relates to the technical field of substation automatic testing, in particular to a substation automatic testing method and system, and the method comprises the following steps: constructing a digital test message for simulating the operation state of a power grid, the digital test message meeting the internal processing specification of an intelligent terminal; injecting the digital test message into an internal logic processing path of the intelligent terminal in a non-intrusive manner through a diagnosis interface reserved by the intelligent terminal or an internal communication network of the intelligent substation; performing time synchronization on the digital test message by using a time synchronization mechanism of the intelligent substation; receiving response data returned by the intelligent terminal through an internal communication network of the intelligent substation; wherein the test process is logically isolated from the main function of the intelligent terminal, and the test process comprises the steps of digital test message injection, time synchronization and response data acquisition. Through the scheme, the test efficiency and reliability are improved.

The invention relates to the technical field of intelligent substations, and discloses a safety measure checking method and system for an intelligent substation. The method comprises the steps of collecting multi-source real-time monitoring data of a target intelligent substation, and performing edge federation aggregation on the multi-source real-time monitoring data to obtain collaborative feature data; constructing a dynamic topological graph of the target intelligent substation based on the collaborative feature data, and performing short-term fault prediction on the target intelligent substation to obtain a short-term fault prediction result; performing probabilistic reasoning on each short-term fault event according to the fault probability propagation model to obtain a cascading fault posterior probability of the corresponding short-term fault event; performing multi-objective optimization sorting on each safety measure strategy to obtain a safety measure priority sequence; and performing simulation verification on the safety measure priority sequence according to the digital twin to obtain a check report. According to the method, a complete closed loop from risk analysis, rapid verification to strategy optimization is formed, and efficient and intelligent technical guarantee is provided for safe and stable operation of the intelligent substation.

The invention relates to the technical field of power systems, in particular to an intelligent substation relay protection secondary circuit verification device. A time synchronization signal in the intelligent substation is received through the time synchronization time synchronization module, after a local clock is calibrated, synchronous connection between the verification device and external time is disconnected, the time of the device is maintained to be stable through the time synchronization high-precision time keeping module, and when a time synchronization signal interface is lacked, the time synchronization signal is provided through the time synchronization time service module; the switching value acquisition and recording module records signal changes of an intelligent terminal device and a primary device mechanism action contact, the detection devices establish data connection with the relay protection tester through the tester communication interaction module and perform communication interaction, and a communication network of the multiple detection devices and the relay protection tester is constructed. By simplifying the verification process and improving the test reliability, a more efficient solution is provided for the power industry, and safe operation and management of the intelligent substation are promoted.

The invention relates to an intelligent substation secondary safety measure ticket automatic generation method based on a knowledge graph and a rule base and a storage medium, and solves the problems that in the prior art, secondary safety measure ticket compilation efficiency is low, and the error rate is high, the adopted technical scheme is that a configuration database of an IED virtual loop is constructed based on an SCD file and the knowledge graph; setting a secondary safety measure compilation rule, and constructing a secondary safety measure rule base; matching secondary information of the maintenance equipment based on the configuration database and the secondary safety measure rule base; based on the configuration database, the secondary safety measure rule base and the maintenance equipment secondary information, a secondary safety measure ticket is automatically generated, and the secondary safety measure ticket comprises safety measure provisions which are generated according to the priority and comprise the execution equipment state, the virtual terminal link type and the isolation loop type. The method has the advantages that the correct secondary safety measure ticket can be automatically generated according to the on-site maintenance task, the working efficiency of technical improvement, defect elimination and verification can be improved, and the manual compiling error rate is reduced.

The invention discloses an intelligent substation virtual loop online transmission verification method based on GOOSE / SV closed loop test, and relates to the technical field of intelligent substation operation and maintenance. Through precise clock synchronization and an improved cross-correlation algorithm, in combination with wavelet noise reduction and spectral clustering analysis, nanosecond synchronization quality evaluation of GOOSE / SV signals is realized, and the hidden transmission risk discovery time is shortened from regular maintenance to real-time monitoring; a hierarchical hidden Markov model is adopted to analyze equipment-level to system-level behavior modes, real-time probabilistic reasoning is realized in combination with a dynamic Bayesian network and particle filtering, a multi-dimensional evaluation system is constructed, the reliability evaluation capability under complex working conditions is remarkably improved, an optimization scheme is generated based on network path characteristic analysis and bottleneck identification, and the reliability of the system is improved. Multi-scene closed-loop verification is carried out by means of a digital twin technology, safety and reliability of parameter optimization are ensured, and full-process intelligent operation and maintenance of the virtual circuit of the intelligent substation from state perception to optimization verification are realized.

The invention provides a layered and distributed collaborative inspection system for an intelligent substation. The layered and distributed collaborative inspection system comprises a collaborative inspection server, an inspection robot and a plurality of intelligent sensing units, when communicating with the inspection robot, the collaborative inspection server generates an inspection task carrying coordinates and identity codes of the to-be-inspected intelligent sensing units, issues the inspection task to the inspection robot, and receives transformer substation related data fed back by the inspection robot for fault analysis; when receiving an inspection task, the inspection robot writes all identity codes into the first RFID tag, then performs path planning according to all coordinates, and interacts with each intelligent sensing unit to be inspected; and when the intelligent sensing unit reads that one identity code in the first RFID tag is consistent with a pre-stored identity code, the intelligent sensing unit activates and collects related data of the transformer substation and writes the related data into the second RFID tag, and then the inspection robot reads the related data. According to the invention, the problems that hidden danger information is not obtained timely and the inspection position is not in place, so that data analysis results exist are solved.

The invention relates to the technical field of power system automation, in particular to a gateway machine double-confirmation closed-loop test system and method, and the system comprises an intelligent equipment simulation module which is used for simulating secondary equipment in an intelligent substation, achieving the transmission of remote signaling and telemetering data, and responding to remote control and remote regulation commands; the multi-source database interface module is used for being connected with a database of the tested gateway machine and querying, analyzing and monitoring data of the database; the master station protocol simulation module is used for simulating a master station protocol and communicating with the tested gateway machine; the intelligent analysis module compares and analyzes signal data from different modules through double-layer verification to ensure the consistency and accuracy of the data; the intelligent equipment simulation module, the multi-source database interface module and the master station protocol simulation module are respectively connected with the tested gateway machine and the intelligent analysis module. According to the method, the whole-process data reliability and the system function integrity are ensured.

The invention discloses a fault information acquisition method and system for transformer substation relay protection equipment. The method comprises the following steps: acquiring a multi-source fault data sequence of relay protection equipment; generating a fusion fault feature sequence through a multi-source data fusion strategy; identifying a key fault period based on a dynamic sudden change threshold, and intercepting target and non-target data subsequences; the morphological difference degree of adjacent target subsequences is calculated, if the morphological difference degree exceeds a threshold value, the adjacent target subsequences are marked as a doubt sequence, and fault feature analysis is carried out by adopting a hierarchical analysis strategy; and further carrying out fault wave and range judgment on adjacent non-target subsequences. Through the multi-source information fusion and dynamic threshold technology, the limitation of a single data source and a fixed threshold is overcome, early faults and hidden defects can be accurately recognized, normal operation and real faults can be effectively distinguished, the accuracy, reliability and early warning capability of fault recognition are remarkably improved, and the method is suitable for popularization and application. The method is suitable for state monitoring and fault diagnosis of intelligent substation relay protection equipment.

The invention relates to the technical field of intelligent substation configuration file checking, in particular to an intelligent substation standard circuit library autonomous learning method, which comprises the following steps of: constructing a standard IED (Intelligent Electronic Device) and a virtual terminal model, and providing a unified standard for substation components and connection; adjusting the IED information in the SCD file to match a standard IED model; extracting virtual loop configuration of the IED from the SCD file by using a standard virtual terminal model and standardizing the virtual loop configuration of the IED; summarizing all standardized loop configurations to form a to-be-effective loop library, and recording occurrence frequencies according to categories; performing pre-effective marking on the frequently appearing virtual loop configuration; comparing the pre-effective loop with the to-be-effective loop library, and marking the pre-effective loop as an effective standard loop after confirmation; extracting information from the effective standard loop, and establishing a complete standard loop library; and updating and perfecting the standard loop library by continuously learning new SCD files. The method has the beneficial effects that automatic establishment and updating of the standard virtual loop library can be realized by utilizing SCD file information extraction and statistical analysis.

The invention provides an intelligent substation dynamic regulation and control method and system based on RIS and a medium, and belongs to the technical field of substation communication regulation and control. The method comprises the following steps: giving a risk weight according to the type of equipment, constructing a substation equipment risk grading quantitative model based on the risk weight, and obtaining a risk index of the equipment based on the substation equipment risk grading quantitative model and real-time data; constructing a space electromagnetic fingerprint map of the intelligent substation based on the electromagnetic field data; acquiring a propagation shielding scene in the intelligent substation according to the signal propagation path, acquiring a corresponding signal transmission compensation mode according to the propagation shielding scene, adjusting the RIS unit according to the signal transmission compensation mode and the risk index, and generating an initial optimization phase matrix; and optimizing the initial optimization phase matrix based on a power grid state constraint condition, and generating a working phase matrix of the RIS unit. The communication quality is improved through the signal transmission compensation mode and the risk index, and meanwhile the power grid safety is guaranteed by meeting the unit constraint condition.

The invention relates to a dynamic rule adaptive substation SDD file analysis method, device and system. The method comprises the following steps: acquiring a to-be-analyzed substation system description file; analyzing the file to generate a basic data model; extracting static parameters and dynamic operation parameters of the equipment based on the basic data model; matching the extracted equipment parameters with a predefined rule base to generate a logic interconnection rule and a physical connection rule between the equipment; according to the logic interconnection rule and the physical connection rule, constructing a topology network diagram representing the connection state of the equipment of the whole station; and based on the node and side information in the topological network diagram, generating a configuration file for describing the physical loop of the whole station, and storing the configuration file to a specified path. The full-station physical loop configuration file generated by the embodiment can provide accuracy for closed-loop testing, operation and maintenance debugging and digital twinborn application of the intelligent substation, and the intelligent level of substation design and operation management is remarkably improved.

The invention belongs to the technical field of power system automation and communication, particularly relates to an intelligent substation process level switch port flow monitoring and pre-warning system and method and a storage medium, and discloses an intelligent substation process level switch port flow monitoring and pre-warning system which comprises a data acquisition unit, a data processing unit and a data processing unit. The hardware input end is configured to perform non-intrusive coupling with a communication link of one or more target ports of the process layer switch to be monitored. According to the invention, tiny but fatal business logic risk precursor which cannot be identified in the prior art and is hidden under normal total flow can be found; and through a multi-level and multi-dimensional anomaly evaluation mechanism, the accuracy and timeliness of early warning are remarkably improved, so that the predictability and safety of the operation of the intelligent substation are greatly enhanced, and the method has great technical value for guaranteeing the stability and reliability of the whole power system.