2378 results about "Master station" patented technology

The invention discloses an intelligent power distribution layered self-healing fault isolation and power supply recovery method, which is suitable for realizing rapid fault isolation and power supply recovery of a non-fault area when a power distribution system has a fault. According to the method, a hierarchical control framework is adopted, and intelligent switch equipment on the lower layer is responsible for collecting the current and voltage states of a line in real time and immediately completing local identification and fault section removal after a preset fault signal is detected; the fault information is then uploaded to a power distribution automation master station on the upper layer, the master station analyzes a recoverable power supply area in combination with the current network topology and generates a network reconstruction scheme, and a non-fault area is switched to a standby power supply path by controlling an interconnection switch; the system supports the backtracking analysis of historical data such as waveform distortion and partial discharge signals before a fault, identifies a potential abnormal trend, optimizes an operation strategy, and achieves a self-adaptive early warning function. The method has the advantages of being rapid in response, clear in structure and high in autonomy, and the reliability and continuity of the power distribution system can be remarkably improved.

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

The present invention relates to the technical field of secondary device monitoring. Disclosed are an online monitoring method for an operating state of a secondary current loop neutral line, and a system. The method comprises: by using a high-precision sensor for collection and a composite filtering algorithm for processing, obtaining a secondary current fundamental component of each neutral line of a transformer substation which is not influenced by harmonic waves and transient states, and uploading the secondary current fundamental component to a protection information master station; retrieving originally configured access protection information master station information to obtain three-phase secondary current loop information of each bay of the transformer substation, summarizing secondary current information of all monitoring ranges, and performing grouping and classification marking on said information by transformer substation, bay and winding; and using the collection information for operation analysis, automatically identifying and confirming an operating state of the line, and on the basis of the operating state, calculating the outlier deviation linearity and the continuous dynamic trend deviation degree of each winding of each bay. The present invention solves the problem that intermittent faults in secondary current loop neutral lines are concealed and are not easily found, realizes comprehensive monitoring for the whole system, and can quickly and accurately position a specific winding and issue an abnormal early warning.

A wide-band oscillation wide-area monitoring system and a wide-band oscillation source localization method, which relate to the technical field of power system stability. The wide-band oscillation wide-area monitoring system comprises: a plurality of signal sensing modules, configured to acquire electrical signals from measured points; a plurality of wide-band measurement devices connected to the signal sensing modules, each wide-band measurement device being configured to perform spectrum analysis on the basis of electrical signals acquired by each signal sensing module, and generate oscillation alarm information on the basis of the spectrum analysis result, and the wide-band measurement devices being further configured to: in response to a waveform recording instruction, start to carry out waveform recording to generate waveform recording files for a same time section, and upload the waveform recording files and the spectrum analysis results; and a wide-band measurement master station in communication connection with each wide-band measurement device, the wide-band measurement master station being configured to: on the basis of the oscillation alarm information uploaded by each wide-band measurement device, determine whether a wide-band oscillation risk is present for a power system, and if so, send the waveform recording instruction to all of the wide-band measurement devices, and on the basis of the spectrum analysis result fed back by each wide-band measurement device, perform oscillation source localization.

The invention relates to an implementation method and device for an EtherCAT master station system based on a non-operating system, and the method comprises the steps: achieving the adaptation of an SOEM protocol stack to a hardware abstraction layer of an EtherCAT master station through the byte order processing based on a bit mask and a staged shift strategy and the EtherCAT frame receiving and transmitting control based on annular buffer area index management; on the basis of non-real-time task priority scheduling processing of a hardware timer, main circulation driven by a single-thread event and overtime monitoring of a blocking communication synchronization mechanism in combination with the timer, adaptation of an SOEM protocol stack to an EtherCAT master station operating system abstraction layer is achieved; through network scanning and communication parameter configuration, a memory management mechanism based on CoE standard mapping and a periodic position mode of a slave station, adaptation of an EtherCAT master station application layer is realized. According to the invention, through optimization and adaptation of the SOEM protocol stack, operation-system-free and microsecond-level communication jitter of the EtherCAT master station system is realized.

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

The invention provides a data transmission optimization method and system based on a satellite channel congestion scene, and belongs to the technical field of satellite communication, and the method comprises the steps: classifying service data, and obtaining different types of data messages; reporting the cache state report to a satellite master station; receiving uplink communication resources distributed by the satellite master station, wherein the uplink communication resources are sent after being distributed by the satellite master station based on the cache state report; determining a channel transmission state of the satellite terminal station based on the uplink communication resources and the service volume in the transmitting cache region; scheduling and sending each type of data messages according to the transmission priorities of the different types of data messages; the transmission priority is determined based on a channel transmission state. According to the invention, in a satellite channel congestion scene, key messages are scheduled preferentially by dynamically adjusting the transmission priorities of different types of data messages, so that the communication efficiency and reliability are improved under limited resources.

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

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

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

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

A broadband oscillation characteristic identification method for a new energy access AC power grid comprises the following steps: compressing an oscillation signal acquired by a PMU by using a Gaussian random matrix, uploading low-dimensional data to a master station, and reconstructing the signal at the master station through an orthogonal matching pursuit (OMP) algorithm; a VMD algorithm with the minimum energy loss as a threshold value is adopted to conduct self-adaptive decomposition on the reconstructed signals, and IMF components containing oscillation information are obtained; the purpose of blind source separation is achieved by maximizing the non-Gaussian property of the output signal through FastICA, independent components are extracted from the mixed signal, and noise is removed; and finally, calculating related information (frequency and amplitude) of oscillation by using FFT (Fast Fourier Transform). According to the method, the technical advantages of CS-OMP, VMD and FastICA are combined, different kinds of oscillation modes and complex working conditions can be dealt with, broadband oscillation in a power system can be better monitored and recognized, safe and stable operation of a power grid is guaranteed, and accurate characteristic parameters (frequency and amplitude) are provided for the oscillation suppression technology.

The invention relates to the field of Internet of Things information security, in particular to an edge computing gateway security authentication system and method based on trusted computing and asymmetric encryption, and the system comprises a master station module, an edge device module, a terminal device module and a block chain storage module. The master station module generates dynamic trust scoring data and authentication challenge data, and negotiates a session key with the terminal equipment module; the edge equipment module is responsible for acquiring and verifying terminal equipment data and transmitting encrypted service data; the terminal equipment module generates authentication response data through the trusted platform, encrypts service data and transmits the encrypted service data to the edge equipment module; the block chain storage module records trust chain data, authentication history and abnormal behaviors. Through dynamic trust scoring, block chain storage and a multi-level encryption mechanism, the problems of insufficient dynamism and relatively low security in the prior art are effectively solved, and the authentication accuracy and system reliability of the Internet of Things edge computing gateway are improved.

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

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

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

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

The invention relates to the technical field of new energy power generation, in particular to a wind power cluster multi-station coordinated adaptive voltage control method, device and equipment and a medium, and the method comprises the steps: constructing a three-layer coordinated voltage control architecture of a wind power cluster AVC master station-AVC coordinated substation-rapid AVC substation, and determining hierarchical control function requirements and interlayer high-speed communication; confirming a reactive power distribution algorithm of the AVC coordination substation and the rapid AVC substation; with the response speed as a reference, reactive power resources are classified, and steady-state replacement control and emergency scheduling mainly participating in reactive power are determined; and designing a voltage control action strategy according to a reactive power distribution algorithm, steady-state replacement control and emergency scheduling, and realizing coordinated adaptive voltage control of multiple stations. According to the invention, the problems of reactive surging and bus voltage oscillation caused by reactive resource response difference and asynchronous communication are improved, the bus voltage regulation speed is improved, and the disqualification probability of the bus voltage is reduced.

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

The invention relates to the technical field of new energy power generation, in particular to a test simulation method and system based on a new energy automatic power generation control master station. AGC parameters of the new energy power plant are obtained and a model is established, wherein the AGC parameters comprise a power plant table, an AGC field group, an AGC system, a control area, a power plant controller, an AGC unit table, power plant measurement and PLC measurement; configuring parameters of an AGC master station test system, wherein the configuration parameters comprise a PLC name, a new energy power station capacity, a current power, a target power, an adjustment upper and lower limit, a test time parameter and the like; performing simulation according to the AGC modeling parameters and the configuration parameters and outputting a simulation result; and generating an AGC control instruction based on a simulation result and evaluating a dynamic performance index. Through a complete parameter modeling system and differentiated performance index evaluation, the accuracy and efficiency of the new energy AGC control test are remarkably improved, the dynamic performance of the new energy power station is accurately evaluated, and reliable technical support is provided for power grid dispatching.

The invention relates to the technical field of industrial control systems, and discloses a multi-axis multi-slave-station industrial control system, which comprises an upper computer; the master station is communicated with the upper computer through an Ethernet transmission control protocol; a plurality of extended slave stations, each of which is independently connected to the master station and communicates with the master station by using a CANFD communication protocol; wherein the master station and the extension slave station respectively comprise a multi-axis driving unit, and at least the master station comprises an IO control unit, so that the extension slave station can be in communication connection with the master station only through a CANFD transceiver chip. According to the invention, the master station communicates with the upper computer through an Ethernet transmission control protocol, the master station communicates with the slave station through a CANFD protocol, the slave station only needs a single CANFD transceiver chip, and both the master station and the slave station comprise a multi-axis driving unit, so that efficient communication with low cost is realized.

The invention relates to the technical field of voltage control, in particular to a wind power cluster multi-station reactive voltage cooperative control device and method, and the device comprises an AVC main station which is responsible for the overall voltage optimization control of a system; the AVC coordinated control substation is located between the AVC master station and the AVC substations, receives the voltage control instruction sent by the AVC master station, converts the voltage control instruction into a reactive instruction and issues the reactive instruction to each AVC substation for execution; the AVC substations are used for receiving reactive power instructions issued by the AVC coordinated control substations, controlling reactive power sources in respective areas and carrying out closed-loop control on voltage target values; according to the parameter control system, through two sets of control parameters, the control requirements of the same application scene are met, and switching of the control parameters is carried out. According to the invention, the problems of voltage oscillation and large control difficulty caused by large response time discreteness in the prior art are effectively solved, the response speed of the system and the stability of voltage control are improved, and different wind power plant layouts and control requirements are met.

The invention discloses a high altitude area cable fault early warning and fault positioning method comprising the following steps: monitoring terminals are installed at two ends of a cable line, respectively collect traveling wave signals generated by a cable having a partial discharge source / fault point, carry out on-site data processing on the traveling wave signals, and carry out feature extraction by applying wavelet analysis; and the partial discharge pulse signals are uploaded to a background master station through a wireless or optical fiber communication channel, the background master station draws a partial discharge map according to long-period statistical information such as the amplitude, the number of times and the corresponding power frequency phase of the partial discharge pulse signals, and judgment and fault early warning are carried out on the partial discharge type and the development trend of the cable according to the change condition of the map. According to the invention, the wavelet analysis technology is used to extract the main characteristic quantity of the partial discharge signal, the main characteristic quantity is sent to the background master station through a wireless or optical fiber communication channel, and the arrival time of the wave head of the voltage traveling wave is determined and the fault distance of the power grid is calculated through the wave head identification method of the voltage traveling wave, thereby realizing the fault location of the voltage traveling wave of the power grid. Therefore, the position of the fault point is accurately calculated.

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

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

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

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

The invention provides a multi-path real-time online monitoring device and method, electronic equipment and a medium, and belongs to the technical field of relay protection. Comprising a relay protection outlet hard strap state acquisition module used for acquiring the state of a relay protection outlet hard strap to obtain acquisition information; the multi-path on-line monitoring module is used for receiving the acquisition information of the relay protection outlet hard strap state acquisition module and performing on-line monitoring to obtain monitoring information; the measurement and control device is used for receiving the monitoring information of the multi-path online monitoring module and generating a control instruction; the motion device is used for receiving the control instruction of the measurement and control device and executing the control instruction; the dispatching master station is used for analyzing and calculating the measurement and control device and the movement device, commanding and controlling, outputting an early warning response, and monitoring and dispatching the power system; and the photon alarm device receives the early warning response of the dispatching master station and gives an alarm through photons. The system can realize real-time monitoring, and is accurate in monitoring and high in reliability.

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

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