19 results about "Cascading failure" patented technology

The application discloses a kind of energy router cascade failure defense and recovery method, comprising: obtaining the operating state data of multiple ports of energy router, wherein current control mode of each port is contained;Based on operating state data, by constructing a dynamic coupling matrix dependent on real-time control mode, to assess the cascade failure risk of system level, obtain system cascade failure risk index;In response to risk index over-limit or actual failure occurs, by solving an optimization problem with control mode as the core decision variable, generate and execute control instructions for suppressing cascade failure propagation;In response to fault clearance, execute risk-aware ordered recovery process, and perform closed-loop safety review after each step of the recovery sequence to ensure the stability of the recovery process.The application can improve the accuracy of cascade failure risk prediction, the effectiveness of active failure defense and the safety of system failure recovery.

This invention proposes a multi-energy safety assessment method and system considering multiple time scales and coupled faults. The method includes: establishing an intermediate time-scale model and a long-time-scale model of the integrated energy system; conducting a safety assessment for each fault scenario in a fault scenario set; wherein, using the long-time-scale model to perform an N-1 safety scan of the fault scenarios considering coupled faults, calculating system risk assessment indicators; when the system risk assessment indicators reflect that the fault scenario may lead to water hammer consequences, using the intermediate time-scale model to calculate the overpressure value generated during the water hammer process; and generating the final safety assessment result of the integrated energy system based on the safety assessment results of each fault scenario. This invention can capture the water hammer effect of the heating network and the cascading faults caused by the coupling of the logical and geographical layers, which are often overlooked in traditional assessments, achieving a more comprehensive and accurate safety assessment of the integrated energy system and helping to improve the operational safety of the system.

This application provides a two-layer prevention and control method and system for grid cascading faults considering the integration of new energy sources. Based on the probability density function and output power function of wind farms and photovoltaic farms, the Monte Carlo method is used to calculate stochastic power flow. Assuming an initial fault occurs on a line and it is disconnected by backup protection, for the remaining lines other than the line with the initial fault, an expression for whether a cascading fault occurs in the grid is established based on the calculated power flow value and its corresponding setting value. The node injection power combination is obtained based on the calculated power flow value, and a grid safety margin is established based on the node injection power combination. An inner-layer optimization model is constructed with minimizing the grid safety margin as the first objective function, and an outer-layer optimization model is constructed with maximizing the grid safety margin and minimizing grid loss cost as the second objective function. The two-layer prevention and control model for cascading faults is solved to obtain a cascading fault prevention and control strategy, thereby enabling early identification and precise and effective prevention and control of cascading faults.

This application relates to the field of vacuum control technology, and provides a control system, control method, and medium for a vacuum butterfly valve. It aims to solve the problems of poor scalability, high module coupling, and easy cascading failures in existing vacuum butterfly valve control systems. The method is applied to the main control module of the vacuum butterfly valve control system, which also includes a drive module and a pressure acquisition module. The method includes: acquiring the current pressure information of a preset cavity through the pressure acquisition module; acquiring the opening adjustment information of the target valve plate in the preset cavity based on the target pressure information and the current pressure information; and controlling the drive module to adjust the opening of the target valve plate according to the target opening information. The method reduces coupling and improves system stability and maintainability by allowing the main control, drive, and acquisition functions to operate independently. Simultaneously, the step-by-step collaborative processing of pressure acquisition, opening calculation, and drive execution improves signal processing efficiency and system response speed.

The invention relates to the technical field of operation and maintenance of an offshore wind power flexible direct current power transmission system, and discloses a multi-terminal flexible direct current power transmission system fault isolation and voltage recovery monitoring method, which comprises the following steps: acquiring degradation rate data to generate a degradation rate vector; identifying a degradation stage and screening degradation acceleration stage equipment; predicting a fault probability and screening high-risk equipment; sorting fault moments to generate a potential cascade fault time sequence; a cascade fault is rehearsed in the digital twinborn model, and an increment isolation scheme is solved; generating a pre-reconstruction topology time sequence scheme; performing a topology preparation action when the fault probability exceeds a preventive intervention threshold; when an actual fault occurs, the fault position is compared, and an isolation scheme is executed; and after isolation is completed, updating the prediction model and executing voltage recovery control. Linkage of degradation monitoring and topology reconstruction is established, and active prevention before a fault occurs is realized.

The application discloses a kind of based on multilayer network cascading failure multimodal transport network resilience evaluation method, belong to multimodal transport network operation and resilience evaluation technical field.First, according to multimodal transport network multilayer structure and freight flow transfer characteristics, ML-space method is used to construct highway and water weighted undirected multilayer network model;On this basis, fusion network topology and freight attribute double perspective, calculate node multilayer centrality and freight level to determine node importance, combined with the heterogeneity of subnetwork to build load-capacity cascading failure model containing initial load, node capacity and differential load redistribution strategy;Then based on the resilience triangle theory, build the whole stage resilience evaluation system covering resistance, absorption capacity and recovery capacity, through MATLAB software numerical simulation, compare the network resilience under different cascading failure and recovery strategy, reveal the influence law of node capacity coefficient on resilience.The application starts from the actual operation scene of multimodal transport network, considers multilayer characteristics and cascading failure propagation law, proposes the precise evaluation method of multimodal transport network resilience under cascading failure scenario, provides scientific reference for the planning construction, risk prevention and control and resilience improvement of multimodal transport network.

A disaster-impact-oriented power system cascading failure deduction method and system, the method comprising: constructing a source fault set and a power grid topology model under different disaster events, and acquiring power grid operation data; based on the collected data, updating the frequency of the power grid in the next period; when the frequency in the predefined period meets the predetermined frequency condition, performing load shedding and correcting the node power, and using power flow calculation to determine the steady-state operating point; repeating the frequency calculation and power flow calculation operations to determine the final operating state of the power grid; based on the final operating state of the power grid, the over-limit degree of the transmission line, the main transformer, the bus voltage, the frequency and the transmission section under the corresponding disaster scenario is calculated respectively, and the remaining capacity regulation ability and the regulation ability of the power grid under the disaster scenario are quantified. The present application realizes accurate deduction of the failure evolution process of the power system under the disaster scenario and quantitative evaluation of the operation risk and regulation ability, thereby effectively improving the precision and reliability of the power grid safety analysis.

The invention discloses a power system cascading failure simulation method and device considering a new energy off-network risk, a medium and a product, and relates to the technical field of power system risk assessment, and the method comprises the steps: obtaining training data; according to the training data, training a new energy off-network simulation hybrid neural network by using an active learning method to obtain a new energy off-network simulation hybrid neural model; constructing a cascading failure dynamic evolution environment; the cascading failure dynamic evolution environment is integrated with a line overload factor model, a frequency deviation factor model, an emergency control model and a new energy off-network simulation hybrid neural model; in a cascading failure dynamic evolution environment, a reinforcement learning algorithm is adopted to train an intelligent agent, so that the intelligent agent learns a failure evolution law and is used for deducing and simulating a cascading failure development path. According to the method, the active learning neural network replaces the new energy plant station to quit simulation, and a complex and time-consuming simulation process does not need to be carried out when cascading failure simulation is carried out.

This invention discloses a method for assessing and warning of cascading failure probabilities in integrated energy systems, belonging to the technical field of safe and stable operation of integrated energy systems. Addressing the problems in existing technologies such as fuzzy characterization of cascading failure evolution mechanisms, lack of dynamic transition patterns in operating states, static and fixed failure probability assessments, and the inability to adaptively adjust warning thresholds, this invention uses a weighted clustering algorithm with safety weight correction to divide the discrete operating state space. Based on this state space, a Markov state transition probability matrix is ​​constructed, and dynamic updates are achieved by combining a sliding time window and a forgetting factor. The correlation strength coefficient of multi-energy flow coupled failure propagation paths is quantified and incorporated into the Markov chain iterative solution to the cumulative probability of cascading failures. Finally, a two-dimensional dynamic risk model is constructed, and an adaptive fuzzy PID algorithm is used to achieve real-time correction of warning thresholds and hierarchical warnings. Ultimately, this provides quantitative basis and technical support for the safe operation and cascading prevention of integrated energy systems.

This invention provides a method for constructing a safety architecture for hydrogen-powered trains, belonging to the field of rail transit train safety control technology. This invention elevates safety design from isolated components to the system level, covering the entire lifecycle and all operating conditions of the hydrogen-powered system, achieving comprehensive safety management both horizontally and vertically. It transforms passive protection into proactive defense, enabling early intervention through a closed-loop "monitoring-response-handling" system and rapid control intervention, effectively preventing the escalation of risks. The three-tiered defense architecture, in synergy with three levels of protection, ensures backup measures are available even when a single safety measure fails, significantly improving the system's fault tolerance and overall safety level. Closely addressing the risk characteristics of hydrogen-powered systems, with "blocking propagation" and "suppressing coupling" as its core principles, it effectively addresses specific risks such as hydrogen leakage, combustion and explosion, and cascading failures in electrochemical systems.

This invention discloses a method for establishing a cascading failure model for rail transit networks, belonging to the technical field of calculation, estimation, or counting. The method includes the following steps: acquiring data and constructing a rail transit network model; removing faulty nodes and generating a new rail transit network model; simulating node states considering demand changes and time delays; and calculating cascading failure impact indicators. The cascading failure model established by this invention can simultaneously consider demand changes and time delays under cascading failure states in rail transit networks, revealing the cascading failure mechanism in the real world.

The application discloses a subway-bus network cascade fault prediction method and related device, including the following steps: constructing a subway-bus double-layer network model with transfer points; determining the importance of each node in the subway-bus double-layer network model with transfer points; obtaining the load of each node, and calculating the capacity of each node according to the load of each node; according to the capacity and importance of each node, judging whether the node with importance greater than a preset threshold value has an accident type overload, and when the node with importance greater than the preset threshold value has the accident type overload, the node is taken as an overload node; and according to the type of the overload node, the method and related device can associate different node states with load abandonment and load transfer of node passenger flow, and realize load adjustment of the node.

The application relates to a kind of power grid resilience evaluation method and system based on urban lifeline cross-system interconnection, method includes: the connected network model of the to-be-evaluated power grid in target area is built;Through the preset cascading failure mechanism, the fault propagation of the to-be-evaluated power grid under the preset disaster situation is carried out, and the fault propagation result is obtained;Through the preset recovery mechanism, the recovery simulation of the to-be-evaluated power grid under the preset disaster situation is carried out, and the recovery simulation result is obtained;Based on the predefined structural resilience index, the fault propagation result and the recovery simulation result are analyzed, and the structural resilience of the to-be-evaluated power grid is obtained;Based on the predefined functional resilience index, the fault propagation result and the recovery simulation result are analyzed, and the functional resilience of the to-be-evaluated power grid is obtained;The structural resilience and functional resilience are fused to obtain comprehensive resilience, and the resilience evaluation of the to-be-evaluated power grid is completed.Compared with prior art, the comprehensiveness and accuracy of the power grid resilience evaluation are significantly improved.

This invention relates to a system reliability assessment method based on a temporal multilayer complex network, comprising the following steps: Step 1, spatiotemporal partitioning of maintenance records; Step 2, single-layer network construction; Step 3, multilayer network coupling; Step 4, superadjacency matrix generation; Step 5, feature centrality solution; Step 6, reliability index extraction; Step 7, confidence assessment. This invention innovatively proposes a time-aware multilayer network framework for the reliability prediction and warranty management of complex products. This model overcomes the limitations of traditional reliability analysis, such as simplified system structure and neglect of cascading failures. By constructing a cross-layer temporal analytical network, it integrates the short-term interdependencies of product component degradation and cross-layer cascading failure mechanisms. The developed supercentrality matrix and dynamic node centrality metric can systematically quantify the impact of product components on system reliability and accurately identify key nodes.

This application discloses an intelligent formulaic method, device, and equipment for describing power grid section limits, relating to the field of power system dispatching and operation. Through the synergistic collaboration of an expert rule base and a large language model, it achieves generalization processing of complex condition combinations while ensuring domain-specific expertise, resolving the contradiction between the high maintenance cost of pure rule-based methods and the high physical logic error rate of pure AI methods. The proposed dynamic verification closed-loop mechanism, through syntax-physical dual-level verification and LLM iterative correction, ensures that the generated formula fully complies with power grid safety constraints, fundamentally eliminating the risk of cascading failures caused by formula errors. It achieves second-level automatic conversion from unstructured text to executable formulas, significantly improving the timeliness of dispatching decisions and the adaptability to new power systems.

This invention provides a resilient control system and method for a power communication network supply-dependent system based on importance-based reconnection. The system includes: a node importance acquisition module, a reconnection module, and a resilient control module. The node importance acquisition module calculates the centrality attribute of nodes in the power communication network supply-dependent system that has experienced cascading failures to obtain node importance. The reconnection module reconnects the nodes in the power communication network supply-dependent system based on the ranking of node importance. The resilient control module evaluates the resilience of the power communication network supply-dependent system based on node reconnection, and performs dynamic control of the system's resilience during cascading failures. This invention uses node importance as the basis for resilient control, thereby ensuring the effectiveness of network resilient control and improving network efficiency.

The application discloses a kind of for comprehensive energy export system transient stability analysis method and system, belong to electric power system transient angle stability technical field, method includes: based on synchronous machine-wind power-infinite system equivalent model, the self-impedance of synchronous machine, mutual impedance and its phase angle surplus are calculated, and then determine its electromagnetic power.Combining rotor motion equation and wind power, iteration is solved after fault power angle and speed;Accordingly, the existence of transient energy is calculated according to the trend of its change with power angle, to determine the critical stability point of power angle constraint and corresponding critical voltage.Finally, the critical point and critical voltage obtained are used as the quantitative index of evaluating transient stability margin, for guiding the safe and stable operation and control decision of the export system containing high proportion of new energy.The application can quickly and accurately evaluate system stability boundary, provide effective analysis tool for preventing cascading failure caused by large-scale new energy off-grid.

The present application relates to a method for evaluating the multi-dimensional resilience of a primary-secondary coupled power system under snow and ice disaster, comprising: obtaining the meteorological parameters of the power system to be evaluated and the snow and ice disaster; based on the meteorological parameters, constructing a synchronous damage model of primary-secondary equipment under snow and ice disaster to obtain the failure probability of primary-side equipment and the failure probability of secondary-side equipment, thereby determining the initial fault equipment set of the power system to be evaluated; based on the initial fault equipment set, constructing a cascading failure iteration deduction model of primary-secondary coupling, performing iteration deduction until the convergence condition is met; based on the state data of the power system to be evaluated recorded in each round of iteration, calculating the multi-dimensional resilience index according to the resilience evaluation index system covering the three time dimensions of before disaster, during disaster and after disaster, to evaluate the resilience level of the power system to be evaluated under the disaster scenario corresponding to the meteorological parameters. The method can significantly improve the accuracy and practicality of the resilience evaluation of the power system under snow and ice disaster.