18 results about "Smart grid communication" patented technology

The invention provides a communication link switching method and device and electronic equipment, and relates to the technical field of intelligent power grid communication. The method comprises the following steps: acquiring a task demand type and a first real-time state parameter of a current link; the first real-time state parameters are input into a trend prediction model, predicted state parameters are obtained, and the trend prediction model is a model which is pre-constructed and trained based on a historical state parameter set and used for analyzing the link state change trend; determining whether the current link meets a preset degradation condition or not based on the task demand type and the predicted state parameter; if the current link meets the preset degradation condition, pre-connection operation is executed on a target candidate link, and the target candidate link is determined from a preset candidate link set based on the task demand type; and after the pre-connection operation is completed, switching the current communication task from the current link to the target candidate link. According to the invention, the problem of communication interruption caused by link failure can be avoided, and the stability and real-time performance of intelligent power grid communication are improved.

The invention discloses a power communication network end-to-end service quality intelligent prediction method based on artificial intelligence, and aims to realize accurate prediction and dynamic optimization of power communication network QoS (Quality of Service), the method comprises the following steps: firstly, comprehensively carding a physical architecture, determining a core node and a link, constructing a dynamic topology model containing a time dimension based on the core node and the link, and generating high-dimensional fusion embedding; carrying out down / up sampling on multi-source data, binding nodes, and constructing a tensor containing spatial-temporal characteristics; quantifying the node causal contribution degree based on the dynamic causal graph to position a root cause; building a TCN-DGAT hybrid network, and predicting QoS in combination with online element learning; and network configuration is optimized by means of digital twin Bayesian optimization verification. The problems of low data processing efficiency, inaccurate prediction and poor adaptability in the prior art are solved, accurate prediction and dynamic optimization are realized, stability and high efficiency of a power communication network are guaranteed, and a key technology is provided for communication support of an intelligent power grid.

The invention discloses a power grid hybrid network performance optimization model considering construction cost, and belongs to the technical field of intelligent power grid communication. According to the model, a parameter system including communication equipment, terrain and a global system is defined, a function with the purpose of minimizing the total cost of a life cycle and multivariate constraint conditions of transmission distance, retransmission times, delay, reliability and flow velocity are constructed, and optimal equipment and transfer device configuration is solved by adopting a node traversal and iterative optimization algorithm. Cost and performance collaborative optimization of a honeycomb, Wi-Fi and ZigBee heterogeneous hybrid communication network under a complex terrain is realized, planning accuracy and reliability are remarkably improved, and construction, operation and maintenance cost is reduced.

The invention discloses a power distribution communication network fault detection and self-healing method and system, a medium and equipment, and belongs to the technical field of intelligent power grid communication, and the method comprises the steps: obtaining the operation state data and link state data of all equipment on a communication network; based on a preset model, carrying out risk fault detection on the operation state data and the link state data to obtain a corresponding detection result, and based on the detection result, generating corresponding instruction information; determining a corresponding communication protocol according to a target device identifier in the instruction information, and constructing corresponding instruction data based on the communication protocol; and sending the instruction data to a corresponding target device, so that the target device performs adjustment according to the instruction data to complete the self-healing operation of the power distribution communication network. According to the invention, the technical problems in the prior art that the fault processing of the power distribution communication network depends on manpower, the response is slow, and the closed-loop self-healing from intelligent diagnosis to automatic execution cannot be realized can be solved.

The application relates to the technical field of smart grid communication, and discloses a smart substation path controllable network system and method based on IPv6 and white box switching. A centralized controller is used to gather link state information of each white box switch to construct a global topology view. Based on the view and a service demand vector, network service flow is optimized and evaluated to generate a path planning table. Then, the path planning table is translated and coded by a rule conversion module, and is sent to a programmable data plane of the switch through a southbound interface and is solidified into a hardware forwarding table. According to the path planning table, an access side switch matches a received original service packet, generates an IPv6 encapsulated packet with a path strategy expansion header, and finally performs destination address overwrite and hop-by-hop controllable forwarding along the path indicated by the expansion header to obtain a target service packet. In this way, the closed architecture of traditional underlying equipment is broken, and accurate control and high-reliability deterministic flexible transmission of the end-to-end path of massive service in a substation are realized.

Systems, methods, and apparatus for smart electric power grid communication are disclosed in the present invention. At least one grid element transmits at least one registration message over an Internet Protocol (IP)-based network to at least one coordinator. The at least one coordinator registers the at least one grid element upon receipt of the at least one registration message. The at least one grid element automatically and / or autonomously transforms into at least one active grid element for actively functioning in the electric power grid. The at least one coordinator tracks based on revenue grade metrology an amount of power available for the electric power grid or a curtailment power available from the at least one active grid element.

The invention discloses a multi-technology collaborative intelligent power grid communication system, the core of the system is a collaborative system composed of an end layer, a side layer, a management layer and a cloud layer, and a unified platform is used for carrying out global intelligent scheduling and safety endogenous guarantee; the end layer adopts a unified intelligent terminal and protocol adaptation and is used for eliminating terminal fragmentation, reducing data islands and enhancing interoperability between devices; the edge layer adopts a regional intelligent gateway and edge calculation and is used for responding to regional data real-time requirements and reducing cloud load pressure; the pipe layer adopts a heterogeneous fusion network pipeline and is used for covering a communication blind area and guaranteeing the service quality of differentiated services; the cloud layer adopts a unified network management and intelligent analysis platform and is used for constructing a systematic digital brain to cope with a complex operation and maintenance system and actively provide security defense; according to the invention, an elastic, intelligent and safe communication infrastructure is constructed through technology collaboration, data collaboration and management collaboration, and the system can adapt to new leading-edge technology development requirements.

This invention relates to a smart grid communication optimization method based on HPLC and HRF dual-mode communication, characterized by the following steps: S1: Acquire and preprocess grid communication data; S2: Based on the preprocessed smart grid communication data, automatically extract dual-channel time-frequency domain features using a feature extractor based on a deep neural network, and dynamically weight the feature importance of different modes through an attention mechanism to obtain a fused unified channel state matrix (CSM); S3: Construct a routing strategy model based on reinforcement learning, and obtain the optimal path decision based on the CSM matrix, grid network topology, and service priority labels; S4: Based on the path obtained from the optimal path decision, adopt adaptive modulation and coding to obtain the optimal modulation and coding scheme and dynamically adapted channel conditions; S5: Perform communication based on the optimal modulation and coding scheme and dynamically adapted channel conditions. This invention significantly improves the communication state awareness capability in complex scenarios.

The invention relates to a BiLSTM-Attention-based 5G power private network slice resource dynamic adjustment method and system, and relates to the technical field of smart grid communication. The method comprises the following steps: constructing a cross-domain feature matrix according to power physical feature data and network resource feature data collected in real time; performing dynamic normalization processing on characteristic values in the cross-domain characteristic matrix to obtain a target characteristic matrix; inputting the target feature matrix into a BiLSTM-Attention prediction model to obtain a network resource prediction value; wherein the BiLSTM-Attention prediction model comprises a self-adaptive time window encoder, and the BiLSTM-Attention prediction model comprises an adaptive time A near-end strategy optimization algorithm is adopted, and a resource scaling threshold value is generated based on the power service priority and the network resource predicted value; and dynamically adjusting the 5G power private network slice resources according to the comparison result of the network resource prediction value and the resource scaling threshold.

The invention discloses a multi-protocol 5G communication conversion method and system of a smart power grid terminal, relates to the technical field of smart power grid communication, and solves the problems of poor compatibility, low conversion efficiency, insufficient adaptability and the like caused by non-uniform protocols of different industrial devices, tedious data interaction, heterogeneous multi-protocol fields and complex data formats in an industrial system. The system comprises a multi-protocol acquisition module, a preprocessing module, a protocol analysis module, an intelligent mapping and rule engine module, a 5G communication module and an online learning module. Under the same data set and simulated electric power field environment, compared with a single attention and pure rule method, the time delay in different scenes is reduced by at least 25%, and the throughput per unit time is improved by 20%. According to the method, the multi-protocol analysis accuracy and the adaptivity of the system are effectively improved, low-delay and reliable transmission is realized in the 5G network, the requirements of industrial Internet of Things multi-protocol fusion and 5G high-speed communication are met, and intelligent upgrading of an industrial communication system is promoted.

This invention relates to the fields of network communication protocols and smart grid technology, specifically to a smart grid communication method based on a temporal elastic protocol. The method includes: considering different byte ordering methods at different receiving ends, designing corresponding storage schemes for timestamps, status, and emergency pointers in both big-endian and little-endian byte ordering modes; the control center judging the current smart grid status and determining the precision of the timestamp acquisition based on the corresponding smart grid status; designing temporal elastic protocol fields in the header of the entire data packet based on the smart grid status; and the receiving end analyzing the temporal elastic protocol fields after receiving the corresponding data packet header to immediately determine command forwarding in an emergency state. This invention, through the proposed temporal elastic protocol, designs storage schemes for both big-endian and little-endian modes, resolving the performance differences caused by endianness and achieving high success and accuracy in command forwarding.

The invention relates to the technical field of intelligent power grid communication, in particular to a power grid networking method and device, equipment and a medium, and the method comprises the steps: obtaining a network logic address and a Wi-SUN radio frequency parameter of each piece of electric meter equipment in a target area, and obtaining a Wi-SUN radio frequency parameter of each piece of electric meter equipment based on a preset router position rule; binding the network logic address with position coordinate information of each electric meter device in a pre-established electric meter position database to generate a spatial database, generating a signal thermodynamic diagram according to electric meter associated data and router associated data in the spatial database and Wi-SUN radio frequency parameters, and determining whether the electric meter device is an electric meter device or not according to the signal thermodynamic diagram and a router responsibility area. According to the method, the network logic address of each electric meter device is accurately associated with the position coordinate information, and the signal thermodynamic diagram is generated in combination with the Wi-SUN radio frequency parameters, so that the router layout recommendation position is obtained according to the signal thermodynamic diagram and the responsibility area of the router; therefore, the success rate of power grid networking is effectively improved, and the intelligent level of the network is realized.

The present application relates to the technical field of smart grid communication, in particular to a kind of smart fusion terminal meter reading and proxy concurrent execution method, the present application is based on the multi-task parallel scheduling architecture of smart fusion terminal and the hardware characteristics of multi-channel carrier meter reading channel, conventional multi-channel carrier meter reading channel is set to 10 ways, when executing proxy transparent copying task, not all channels are exclusively occupied, but through the cooperative mechanism of channel isolation and parallel scheduling, only 1 special channel is occupied to execute transparent copying, and the remaining N-1 channels continuously execute conventional meter reading tasks;At the same time, combined with the edge computing capability of fusion terminal, real-time monitoring of channel state, dynamic adaptation of task priority are realized, efficient use of multi-channel meter reading channel is realized, while ensuring the completion of proxy transparent copying and the integrity of meter reading data, meeting the efficient operation demand of multi-service cooperative operation of smart fusion terminal.

The invention relates to the technical field of block chains, in particular to a secure smart power grid communication method and system based on a block chain. The method comprises the following steps: firstly, providing a dynamic updating algorithm which is used for efficiently processing addition and deletion changes of power grid nodes and optimizing selection and communication paths of nodes in partitions; secondly, the invention provides a dynamic load balancing intelligent contract method and a multi-level state channel method, so that efficient communication and dynamic adjustment between nodes of the same partition and nodes of the cross-partition are realized, and the stability of the network under different load conditions is guaranteed; finally, the invention provides a privacy protection multi-party calculation method of an encrypted vector space, so that privacy security in power grid transaction and data processing is ensured, and security calculation and verification of multi-party data are realized on the premise of not leaking privacy.

The application is suitable for the technical field of communication and power safety monitoring, and provides a kind of optical cable identity recognition and illegal access detection method and system for smart grid, the method comprises the following steps: real-time acquisition vibration signal, when the amplitude of vibration signal is greater than the preset amplitude threshold, and its energy is greater than the energy threshold calculated based on dynamic baseline energy, it is determined as effective disturbance event;In response to effective disturbance event or according to the preset inspection plan, visible light image and infrared thermal image of target optical cable node are synchronously collected;Visible light image and infrared thermal image are spliced to form a fusion image;The fusion image is input into the lightweight target detection network, and the target detection result is output;According to the target detection result, the actual identity information of the current optical cable is extracted, and whether the actual identity information of the optical cable is legal and whether there is illegal access behavior is determined.The application provides a new generation of verifiable, traceable and closed-loop protection capability for the physical layer security of smart grid communication.

The invention relates to the technical field of intelligent power grid communication, in particular to an edge computing power grid time delay optimization method based on reinforcement learning, which comprises the following steps: data acquisition and preprocessing: multi-target time delay optimization modeling: establishing a data transmission model, a time delay model and constraint conditions; the joint optimization of the task unloading proportion and the transmitting power is converted into a quantifiable optimization problem; multi-objective optimization solution based on deep reinforcement learning: adopting a deep deterministic strategy gradient (DDPG) algorithm framework, and learning an optimal task allocation and power allocation strategy through interaction with the environment; and outputting and executing an optimization decision. The method has the advantages that the task unloading proportion and the transmitting power of each link can be jointly optimized under a unified model, and compared with a scheme which only aims at a single index or adopts a simple weighted summation mode, the method is beneficial to reducing the total time delay of the system on the premise of meeting constraint conditions, gives consideration to power consumption, and improves the reliability of the system. Therefore, the comprehensive service quality in the edge computing power grid scene is improved.

The invention discloses a smart grid communication noise analysis and ground noise visualization method, and belongs to the technical field of smart grid communication. The method comprises the following steps: collecting original ground noise data of smart grid communication; performing first preprocessing on the original bottom noise data to obtain first preprocessed data; performing noise analysis including impulse noise, periodic noise and white noise on the first preprocessed data, and outputting noise features; performing second preprocessing on the original bottom noise data to obtain second preprocessed data; performing FFT calculation on the second pre-processed data, and performing post-processing on the frequency domain data after the FFT calculation to obtain post-processed data; and performing calibration compensation on the post-processing data to obtain data for background noise visualization, and performing background noise graph drawing. The method can fill up double gaps of laboratory groping and on-site operation and maintenance, reduce equipment and analysis cost, and improve analysis accuracy.

The invention is suitable for the technical field of communication and electric power safety monitoring, and provides an optical cable identity recognition and illegal access detection method and system for a smart power grid, and the method comprises the following steps: collecting a vibration signal in real time, and when the amplitude of the vibration signal is greater than a preset amplitude threshold value, judging whether the vibration signal is illegal or not; when the energy is greater than an energy threshold value calculated based on the dynamic baseline energy, determining that the disturbance event is an effective disturbance event; in response to the effective disturbance event or according to a preset inspection plan, synchronously acquiring a visible light image and an infrared thermal image of the target optical cable node; splicing the visible light image and the infrared thermal image to form a fused image; inputting the fused image into a lightweight target detection network, and outputting a target detection result; and extracting actual identity information of the current optical cable according to the target detection result, and judging whether the actual identity information of the optical cable is legal or not and whether an illegal access behavior exists or not. According to the invention, a new generation of verifiable, traceable and closed-loop protection capability is provided for the security of a communication physical layer of the smart power grid.