27 results about "Smart grid communication" patented technology

The invention relates to an intelligent power grid communication optimization method based on HPLC and HRF dual-mode communication, and the method is characterized in that the method comprises the following steps: S1, obtaining power grid communication data, and carrying out the preprocessing of the data; s2, according to the preprocessed intelligent power grid communication data, a feature extractor based on a deep neural network automatically extracts two-channel time-frequency domain features, feature importance of different modes is dynamically weighted through an attention mechanism, and a unified channel state matrix CSM after fusion is obtained; s3, constructing a routing strategy model based on reinforcement learning, and obtaining an optimal path decision according to the CSM matrix, the power grid network topology and the service priority label; s4, according to the path obtained by the optimal path decision, adaptive modulation coding is adopted to obtain an optimal modulation coding scheme and a dynamic adaptive channel condition; and S5, performing communication according to the optimal modulation coding scheme and the dynamic adaptive channel condition. According to the method, the communication state sensing capability in a complex scene is remarkably improved.

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 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 relates to the technical field of intelligent power grid communication, discloses a dynamic power distribution method for a power line carrier communication heterogeneous network, and solves the problems of insufficient reliability of single medium communication and dynamic resource distribution bottleneck of heterogeneous converged communication. According to the technical scheme, the method comprises the four steps of channel quality dynamic evaluation, constraint type self-adaptive judgment, optimal medium selection and intelligent power distribution, a water injection algorithm, an iterative reverse water injection method and the like are combined, real-time characteristics of power lines and wireless channels and different power constraint scenes are adapted, differentiation strategies are designed for services with different priorities, and the optimal power distribution is realized. And an energy efficiency optimization feedback mechanism is also arranged. The method can improve the power distribution flexibility and the channel resource utilization rate of the heterogeneous network, meets the differentiated communication requirements of the smart grid, guarantees the communication reliability, and provides support for the reliable operation of the smart grid.

The invention provides a smart grid authentication and key negotiation method and system considering a dynamic identity matching table, and belongs to the technical field of smart grid communication security. The method comprises the following steps: a service provider randomly generates a first random number and a second random number, stores the first random number and the second random number in a dynamic identity matching table, and encrypts a first identity identifier of an intelligent electric meter through a hash function; randomly generating a third random number through the intelligent electric meter, and encrypting and solving the first authentication information through the hash function; matching the first random number and the corresponding second random number in the dynamic identity matching table, solving the first verification information by combining the first encrypted identity identifier, comparing the first verification information with the first authentication information for verification, and solving the first verification code, the second verification code and the second authentication information; and decrypting the first verification code and the second verification code through the intelligent electric meter, solving the decrypted authentication information, comparing the decrypted authentication information with the second authentication information, and judging that the authentication process is completed when the two authentication information are equal. According to the invention, the communication security is improved, and the system operation efficiency is improved.

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.

The present invention relates to the field of smart grid communication technology, and in particular to a dual-mode communication channel switching method and device based on multi-mode perception and weight decision-making. The method comprises: obtaining the multi-mode parameters of two channels; calculating two channel quality indexes respectively, and calculating a comprehensive score based on the two channel quality indexes and dynamic weights; determining whether to trigger mode switching according to the relationship between the comprehensive score and the switching threshold and the changing trend of the comprehensive score. In the present invention, the channel quality index and the comprehensive score are calculated by the multi-mode parameters of the channel, and whether to trigger mode switching is determined according to the relationship between the comprehensive score and the switching threshold and the changing trend of the comprehensive score. The setting of the dynamic threshold and the hysteresis amount can avoid problems such as frequent channel switching and critical fluctuations. Moreover, on the basis of judging the comprehensive score and the switching threshold, the changing trend of the comprehensive score is taken into consideration, thereby being able to select a better channel for transmission, thereby ensuring the success rate of communication transmission and improving the reliability of transmission.

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 present disclosure relates to the field of smart grid communication technology, and specifically to a Bluetooth-based smart grid communication method, device, system, electronic device and storage medium. According to the technical solution provided by the embodiment of the present disclosure, by integrating a Bluetooth module that supports the PAwR function in the power grid equipment, after the power grid communication master device and the power grid communication slave device establish PAwR synchronization, the business operation data message is sent to the power grid communication slave device through the PAwR event, and the power grid communication slave device obtains the business operation data message through the PAwR sub-event corresponding to the group number of the power grid communication slave device, and according to the short address of the power grid communication slave device, the corresponding business response data is sent to the power grid communication master device through the PAwR sub-event in a TDMA manner. In this way, without establishing pairing and Bluetooth connection, one-to-many two-way communication between power grid devices is realized on the Bluetooth data channel, thereby improving the efficiency and reliability of communication.

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 application discloses a smart grid fault-tolerant communication system and method based on multi-operator channel switching. The heterogeneous network and device state data are collected through the intelligent sensing layer. The AI decision engine realizes network quality prediction and multi-objective optimization. The resource collaborative control layer integrates spectrum resources and network slices. The edge execution layer executes hardware-level fast switching. The emergency disaster recovery layer provides multi-dimensional fault recovery. The secure and reliable layer guarantees data security. The application breaks through the traditional network switching bottleneck, realizes high-reliability and low-latency transmission of power business, and is suitable for smart substation, distribution network automation and other scenes, which significantly improves the fault-tolerant capability and resource utilization efficiency of smart grid communication.

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 application discloses a power special network and 5G public network network selection method in a smart grid, overcomes the problem that the communication quality of the smart grid cannot be guaranteed when the power special network and the 5G public network are fused in the prior art, and comprises the following steps: S1, deploying a power special network and 5G public network network selection cooperation module on a terminal and a master station; S2, measuring the reference signal receiving power (RSRP) of the physical cell to which the power special network and the 5G public network belong; S3, the terminal sends a service request to the master station through the power special network and the 5G public network respectively; S4, the master station acquires the service request and processes the same, and acquires the current state of the local network; S5, the master station selects a network and returns the selection result to the terminal through a response packet; S6, the terminal transmits service data to the master station by using the network selected by the master station; and S7, the network transmission quality is monitored, and it is judged whether the network selection process needs to be restarted according to the monitoring result. The 5G public network and the power special network are better fused, and the communication quality of the smart grid is guaranteed.

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.

Systems, methods, and computer-readable programs are provided for authentication of unencrypted message(s) transmitted between two devices of a power grid over a public communications network are provided. The authentication uses a quantum-based secret key and an initialization vector generated from a quantum random number to generate a payload for a transmission packet. The quantum-based secret key is shared between the transmitting device and the receiving device. When the receiving device receives the packet, the receiving device uses the shared quantum-based secret key and the initialization vector to verify whether the payload in the packet is authentic.