21 results about "IEC 61850" patented technology

The invention relates to the technical field of data processing, in particular to a building light storage and charging integrated energy management system, which is used for solving the problems of data processing delay and resource coordination mismatch caused by insufficient multi-source heterogeneous data fusion in photovoltaic power generation, energy storage and grid connection links. The system comprises a data acquisition module, a protocol conversion module, a data fusion module, a scheduling optimization module, an instruction generation module and a feedback module. The protocol conversion module carries out Modbus, CAN bus and IEC 61850 protocol analysis on the photovoltaic output time sequence data, the energy storage charging and discharging state data and the power grid dispatching instruction to generate standardized data streams. And the safety verification module intercepts the overrun instruction and triggers an amplitude limiting strategy. Through protocol unification, dynamic fusion and closed-loop control, the system realizes improvement of photovoltaic consumption rate, reduction of energy storage circulation loss and optimization of power grid frequency modulation deviation, and significantly improves the efficiency and economy of light storage and charging cooperative operation.

The invention relates to the field of power equipment data processing, in particular to a multi-target dynamic optimization unit load intelligent distribution method, which adapts a micro-service cluster through a containerization protocol, adopts an OPC UA protocol and an MQTT protocol to respectively collect thermal power and new energy data at different frequencies, dynamically analyzes an IEC 61850 power grid instruction, converts and stores the IEC 61850 power grid instruction into a Kafka message queue, and sends the IEC 61850 power grid instruction to a network server. The problem of communication protocol heterogeneity is solved. Based on an IEEE 1588 protocol, sub-millisecond clock synchronization of edge nodes is realized, a cubic spline interpolation algorithm is adopted to align multi-frequency data, an interpolation window is dynamically adjusted in combination with a genetic algorithm, and a spatial-temporal characteristic matrix is generated and stored in a Redis database. And performing multi-objective optimization solution through an NSGA-II algorithm, and dynamically adjusting the weight of an objective function to adapt to the frequency modulation requirement of the power grid. A closed-loop feedback mechanism corrects model parameters through Kalman filtering, actual data are written back to a feature matrix, the robustness of the system is improved in combination with a hierarchical fault-tolerant strategy, the problem of space-time mismatch of data is effectively solved, and the economical efficiency and safety of load distribution are improved.

The invention discloses a self-adaptive threat blocking method and system oriented to industrial control protocol deep analysis, and the method comprises the steps: constructing an industrial control protocol multi-dimensional analysis model, extracting an operation code semantic rule, a parameter structure constraint and session state hopping features based on protocol reverse engineering, generating a protocol syntax tree, and blocking a threat from the protocol syntax tree. Wherein the operation code semantic rule is matched with the service primitive mapping of an abstract communication service interface in the IEC 61850 standard; based on the protocol syntax tree, semantic-level analysis is carried out on real-time communication flow, dynamic indexes are extracted, the dynamic indexes comprise a process value mutation gradient, an instruction sequence logic conflict degree and a session state abnormal jump rate scale, and a three-dimensional threat feature vector is generated. According to the method, hidden attacks are accurately recognized through industrial control protocol semantic analysis and multi-dimensional dynamic blocking, so that the defense action and the production stability can be collaboratively optimized.

The invention relates to the technical field of machine learning, and discloses a transformer operation state intelligent identification method based on machine learning, which is applied to a 110kV-500kV transformer and an edge-cloud collaborative architecture of an online monitoring system of the 110kV-500kV transformer. According to the method, multi-modal features are extracted based on multi-channel cleaning data, a modal enhancement TCN model fusing kernel feature mapping and a Koopman operator is introduced, and time-frequency coupling modeling and hidden space state representation are achieved. The model realizes online recursion and working condition adaptive tracking through a Sherman-Morrison incremental updating mechanism, outputs an operation state identification result and a risk score, realizes millisecond alarm linkage through an IEC 61850 GOOSE protocol, and provides high-precision and traceable technical support for intelligent monitoring and operation and maintenance of a transformer of a transformer substation.

According to the substation configuration file analysis method and device, the storage medium and the computer equipment provided by the invention, each node in the configuration file is scanned, and the analysis sub-tree is selectively constructed through a hybrid analysis strategy combining key node identification and DOM sub-tree analysis, so that the memory overhead is reduced, and the analysis time is shortened. When the configuration file is scanned, logic nodes are extracted from all the analysis sub-trees according to the node information of all the analysis sub-trees, standardized semantic tags are automatically generated for the logic nodes through the dynamic semantic rule base, and therefore accurate mapping of the configuration data and the IEC 61850 standard model is achieved. And then comparing each logic node with the currently applied configuration file by using the semantic tag of each logic node, and accurately pushing the change information to the intelligent equipment of the transformer substation by adopting a minimum change issuing strategy, thereby improving the configuration updating efficiency. And the analysis efficiency of the configuration file is improved while the semantic accuracy is ensured.

The invention belongs to the technical field of power system automation and relay protection, and particularly relates to a secondary circuit abnormity alarm reverse query method and system based on drawing recognition and virtual-real mapping. Millisecond-level reverse query and drawing second-level retrieval labeling of secondary circuit abnormal warning are achieved, GOOSE, SV and MMS virtual circuits and physical circuits such as cables, optical fibers and terminal strips in the IEC 61850 environment are covered, and the problems that in the prior art, warning positioning is slow, drawing retrieval is difficult, and labeling information is lagged are solved.

The embodiment of the invention relates to the technical field of information, and discloses an embedded IEC61850 communication method and device based on a single-chip microcomputer, a medium and a product, and the method comprises the steps: obtaining and analyzing a substation configuration language format file, carrying out static memory allocation in a mode of initializing a constant array, and constructing a device initial data model; establishing a virtual address mapping mechanism of the Flash and the RAM; when a data operation request is detected, according to a virtual address mapping mechanism, loading a target data model stored in the Flash to a preset physical address area in the RAM for read-write operation; a mapping address configuration table is preset, when a communication protocol instruction is received, a target physical memory address is positioned by querying the mapping address configuration table, and application layer logic is executed; and reading data by using a pointer of the target physical memory address to perform communication protocol message framing and sending, so that an IEC 61850 function can be realized on the single-chip microcomputer.

This invention relates to the field of power system automation and industrial control technology, specifically a GOOSE communication redundant networking integrated control system and method for diesel generator parallel operation. The system includes an integrated main controller, multiple generator sub-controllers, and a dual-redundant GOOSE communication network, conforming to the IEC 61850 standard and employing a publisher / subscriber model. The main controller adopts a hardware hot backup design, and the network uses a dual-star topology and supports PRP / HSR protocols to achieve full-link redundancy. The generator sub-controllers preprocess signals using discrete Fourier transform, and the main controller, based on the synchronous phasor measurement method and PID algorithm, accurately generates parallel operation and load allocation commands, with a GOOSE message transmission time of <4ms. This invention is delivered pre-assembled with standardized modules, enabling rapid on-site deployment. It can allocate load proportionally according to generator capacity and suppress circulating current in real time, shortening the parallel operation cycle by more than 30%, ensuring continuous and stable power supply, and adapting to flexible applications in multiple scenarios.

The invention relates to the technical field of network security operation and maintenance, and discloses an SCCD-plus model-based network security equipment unified digital governance method, which comprises the following steps of: constructing information following IEC 61850 system standards, expanding asset ledgers, network topology and the like, redefining SCCD model files of network security equipment and a station control layer host model, and establishing an SCCD model file of the network security equipment and the station control layer host model; the method comprises the following steps: acquiring actual operation configuration values of network security equipment and a station level host, checking and merging with a configuration fixed value baseline in an SCCD model file, generating an SCCD-plus archived file, instantiating a model of target equipment, generating a CID-plus file, and applying the CID-plus file to complete automatic configuration. According to the invention, unified acquisition and management of incremental equipment and stock equipment are realized, automatic configuration, compliance check and security policy deployment of network security equipment are supported, the efficiency and accuracy of network security management are effectively improved, and the operation and maintenance cost is reduced.

The invention discloses a distributed photovoltaic micro-grid coordination controller, which comprises an edge calculation module for aggregating a power generation prediction model of a photovoltaic inverter through federal learning and generating a control instruction based on a digital twinning technology; the communication interface module is used for supporting switchable communication protocol stacks of IEC 61850, DNP3 and Modbus TCP (Transmission Control Protocol) protocols; the block chain verification module is in communication connection with the at least three energy storage nodes and is used for verifying a grid-connected and off-grid switching instruction based on a PBFT consensus algorithm; and the energy storage control module is respectively connected with the super capacitor, the lithium battery and the flywheel energy storage power conversion unit, and the energy storage control module distributes charging and discharging power according to the instruction of the edge calculation module. According to the invention, through real-time data processing of the edge calculation layer and collaborative optimization of the federal learning engine, millisecond-level dynamic response of the photovoltaic micro-grid is realized, and the problem of adjustment lag caused by communication delay of a traditional centralized control system is solved.

The application relates to the technical field of machine learning, and discloses a transformer operation state intelligent identification method based on machine learning, which is applied to the edge-cloud collaborative architecture of 110kV-500kV transformers and online monitoring systems thereof. The method extracts multi-modal features based on multi-channel cleaning data, introduces a mode-enhanced TCN model of fusion kernel feature mapping and a Koopman operator, realizes time-frequency coupling modeling and hidden space state representation. The model realizes online recursion and working condition adaptive tracking through a Sherman-Morrison incremental updating mechanism, outputs operation state identification results and risk scores, and realizes millisecond-level alarm linkage through an IEC 61850 GOOSE protocol, thereby providing high-precision and traceable technical support for intelligent monitoring and operation and maintenance of transformers in a transformer substation.

The invention belongs to the technical field of power distribution network testing, and particularly relates to a testing method of a power distribution network self-healing system, which comprises the following steps of: 1, constructing a digital-physical hybrid simulation testing platform; 2, the real-time digital simulation system, the physical simulation device and the tested self-healing control system achieve millisecond-level data interaction through an IEC 61850-9-2 sampling value transmission protocol and a GOOSE protocol; 3, the test platform is configured with a synchronous clock system IEEE 1588v2 protocol, and it is ensured that the time scale error is smaller than or equal to 100 microseconds. Through linkage of digital simulation and a physical device, a complex distribution network structure containing more than 30% of distributed power supply permeability can be simulated, any combination triggering of seven types of faults such as interphase short circuit and high-resistance grounding is supported, and all test scenes specified by the GB / T 33593-2017 standard are covered. Actual measurement shows that the fault scene coverage rate can be increased by 83% and is increased by 45% compared with a traditional RTDS test method.

The invention relates to the technical field of power equipment state monitoring, in particular to a waveguide resonance array type power equipment multi-parameter online monitoring system which comprises a waveguide resonance array module, a multi-parameter sensor integration module, a signal processing and analyzing module, a data transmission and communication module and a power management module. The waveguide resonance array is of a distributed annular or linear arrangement structure, and real-time monitoring of multiple parameters such as temperature, partial discharge and mechanical vibration is achieved through a waveguide Bragg grating (WBG) and a micro-ring resonator. The signal processing module combines an FFT algorithm and a DBO optimized LightGBM model to carry out feature extraction and fault diagnosis, and data is transmitted to a cloud platform through a Modbus TCP or IEC 61850 protocol. The system supports multi-scene deployment, has anti-electromagnetic interference capability, and can be widely applied to state monitoring of power equipment such as high-voltage cables and transformers. The temperature monitoring precision reaches + / -0.5 DEG C, the partial discharge detection sensitivity is superior to 10pC, and the response time is less than 10s.

The invention belongs to the technical field of engineering configuration automation, discloses an engineering configuration automatic generation system, method and equipment based on relay protection function model and physical terminal mapping and a medium, and aims to solve the problems of low automation level, high working intensity and long design period. The system comprises a relay protection function model library module used for storing a reusable function template constructed based on IEC 61850 standard logic nodes; the physical terminal model management module is used for managing physical terminal models of the device and attributes of the physical terminal models; the function-physical mapping module is used for realizing automatic association from a function signal to a physical terminal through semantic attribute matching of a signal port; the project instantiation module is used for instantiating the template according to the primary system parameters of the project and generating a corresponding logic equipment structure and parameters; and the engineering model generation module is used for fusing instantiation and mapping results and outputting a structured multi-layer engineering model file. According to the invention, full-process automation from function configuration to physical connection is realized.

The invention discloses an intelligent power distribution terminal plug-and-play control method, which faces an object information model and an Internet of Things communication protocol, completes power distribution terminal equipment information modeling based on IEC CIM and IEC 61850 standards, realizes fusion of terminal side and master station side information models, establishes a unified intelligent power distribution terminal equipment panorama modeling system architecture, and realizes intelligent power distribution terminal equipment panorama modeling. And information exchange of equipment is supported from a model level. An object-oriented industrial Internet of Things protocol application scheme is provided, the comprehensive sensing level of the running state of the demonstration lines and the online rate of equipment are improved, and rapid load transfer between the demonstration lines is achieved; the problem of cloud-side and peer-to-peer side-side communication application of various data types is solved, and technical support is provided for intelligent applications such as in-situ hierarchical protection and FA cooperation of a novel power distribution network. The plug-and-play function of the power distribution terminal device level is achieved, the convenience of installation, debugging and operation and maintenance of the power distribution automation terminal is greatly improved, the corresponding circulation time limit is standardized and shortened, and the power supply standardization level and the operation reliability of field equipment are improved.

The present invention relates to the field of data processing technology, and in particular to a building photovoltaic, energy storage and charging integrated energy management system, which is used to solve the problems of data processing delay and resource coordination mismatch caused by insufficient fusion of multi-source heterogeneous data in photovoltaic power generation, energy storage and grid connection. The system includes a data acquisition module, a protocol conversion module, a data fusion module, a scheduling optimization module, an instruction generation module and a feedback module. The protocol conversion module performs Modbus, CAN bus and IEC 61850 protocol parsing on photovoltaic output time series data, energy storage charging and discharging status data and grid scheduling instructions, respectively, to generate standardized data streams. The safety verification module intercepts over-limit instructions and triggers a limiting strategy. Through protocol unification, dynamic fusion and closed-loop control, the system achieves an increase in photovoltaic absorption rate, a reduction in energy storage cycle loss and an optimization of grid frequency regulation deviation, significantly improving the efficiency and economy of the coordinated operation of photovoltaic, energy storage and charging.

This invention belongs to the field of power system automation technology and discloses an interactive matching and protocol verification system, method, equipment, and medium based on the physical model of a relay protection device and the IEC 61850 communication information model. It addresses the problems of difficulty in matching terminals with protocol objects, insufficient static verification, separation of hardware testing and communication verification, and low efficiency of human-machine collaboration. The system includes a physical electrical model management module, a terminal-information model path mapping module, an interactive matching module, a measurement and acquisition module, a communication monitoring module, a mapping verification and protocol verification module, and a report output and version management module. This invention connects the physical terminals and information model paths, realizes joint verification of hardware excitation and communication messages, and constructs a traceable closed-loop verification process.

The invention discloses an IEC104 protocol conversion method and system based on fusion of an IEC61850 model and an electric power internet of things model, and the method comprises the steps: constructing a three-dimensional address space model composed of a type identifier TYPE-ID, a transmission reason COT and an information object address IOA based on the structural features of an ASDUs in an IEC104 protocol; mapping a communication semantic mode corresponding to the (TYPE-ID, COT) two-tuple into an API (Application Program Interface); defining a mapping relation between an IEC 61850 model element corresponding to the IOA and an electric power internet of things model element; designing a synchronous request-response message processing mode and an asynchronous event-driven message processing mode; and constructing a localized real-time data mirror image library, and completing mapping between the protocol data and the model object. According to the invention, intelligent conversion and cooperative interaction between the IEC104 protocol and the IEC 61850 model as well as between the IEC104 protocol and the electric power internet of things model are supported, and efficient interoperation and flexible expansion in a multi-protocol and multi-model environment are realized.

The invention provides a multi-agent cooperation micro-grid energy management platform integrated with a power market mechanism. The energy management platform comprises a market interaction layer, a resource scheduling layer and a physical execution layer. The market interaction layer realizes dynamic electricity price prediction, multi-market bidding optimization and carbon emission cost accounting; the resource scheduling layer adopts a multi-agent reinforcement learning framework to realize resource level optimization control; and the physical execution layer realizes high-frequency data communication and control response between devices based on an IEC 61850 protocol. The management platform integrates a multi-market mechanism and optimizes the risk perception ability, so as to solve the problems of uncoordinated scheduling, unreasonable system income distribution and the like caused by the lack of autonomous decision-making ability and collaborative optimization mechanism of the existing platform.

The invention discloses an information interaction method, device and equipment, a storage medium and a product, and relates to the technical field of electric power communication of intelligent substations. The method comprises the following steps: starting each configured local end main function device by adopting a multi-thread and dynamic link library loading mode; the local end main function device is deployed on local end equipment based on an IEC 61850 protocol; and carrying out information interaction with the accessed opposite-end equipment based on the IEC 61850 protocol through each local-end main function device. The local end main function devices can process the interaction information in parallel based on multiple threads, and the processing speed of the interaction information is increased; and the operation behaviors of the local end main function devices on the global storage area are mutually independent, so that the mutual exclusiveness of the data of the global storage area in the multi-thread operation is ensured, and the labor cost of software development is saved.

The invention discloses a transformer digital twinning system and method. The system is a three-layer architecture based on a physical hardware layer, a twinning model layer and a human-computer interaction layer. The physical hardware layer comprises various sensor arrays deployed on the transformer body, a twin model layer integrated data interface module, a data transmission module and a physical field calculation module; the man-machine interaction layer comprises a visual display module; the data interface module is used for performing unified access and standardization processing on the acquired multi-source heterogeneous sensor data based on an IEC 61850 protocol to generate standardized data; the data transmission module adopts an MQTT protocol to construct a data transmission channel, and transmits the standardized data to the physical field calculation module through the data transmission channel; and the physical field calculation module is used for performing high-fidelity simulation and real-time state analysis based on the multi-physical field coupling model to obtain a physical field calculation result. According to the invention, the problems of difficult heterogeneous data fusion, opaque state perception and inaccurate fault early warning are solved.