54 results about "Energy security" patented technology

The invention provides a factory energy safety dynamic monitoring method based on the Internet of Things and multi-mode perception, and belongs to the technical field of industrial Internet of Things. Comprising the following steps: acquiring electrical parameters, temperature data, combustible gas leakage concentration and vibration signals of equipment in real time; carrying out aggregation and protocol conversion on the electrical parameters, the temperature data, the combustible gas leakage concentration and the vibration signals through a multi-protocol intelligent gateway, and uploading the electrical parameters, the temperature data, the combustible gas leakage concentration and the vibration signals to a locally deployed edge computing node in a preset period; preprocessing the received data at the edge computing node, and generating a quantitative risk index based on a dynamic risk assessment model fusing the real-time state of the equipment, the historical aging trend and the environmental parameters; and carrying out risk grade judgment according to the quantitative risk index, and executing a corresponding grading response. Through fusion of multi-modal sensing data and edge intelligence, comprehensive sensing, real-time quantitative evaluation and hierarchical intelligent response of factory energy safety risks are realized.

Disclosed in the present invention is an integrated reforming power generation test system having wide-range fuel adaptability, comprising a fuel supply subsystem, a catalytic reforming subsystem, a hydrogen purification subsystem, a power generation subsystem, and a test monitoring subsystem. A fuel pump and a fuel delivery pump are connected to a water-gas shift reactor by means of an evaporator and a reformer, the water-gas shift reactor is connected to a pressure swing adsorption device by means of a first gas-liquid separator, the pressure swing adsorption device is connected to a fuel cell stack by means of a hydrogen buffer tank, and a gas chromatograph is connected to the reformer by means of a third gas-liquid separator and to the water-gas shift reactor by means of a second gas-liquid separator. By using a variety of fuel resources to produce electricity, the present invention breaks through the limitation of the scope of traditional single-fuel reforming power generation systems, ensures the reliability of electricity supply, gets rid of the dependence on specific fuels, enhances regional energy safety, and improves the flexibility of energy supply.

The invention discloses an electric ship energy management system based on artificial intelligence, and relates to the technical field of energy management, the battery state is judged by collecting battery data in real time and calculating the health state coefficient, if the state is normal, the electric power is distributed according to the remaining electric quantity and the health state coefficient, and the performance degradation trend is monitored synchronously; if the health is abnormal or continuous accelerated decline is monitored, early warning is triggered, and intelligent management and early risk intervention are achieved. According to the invention, internal resistance and temperature data are fused, and early attenuation of the battery is accurately monitored through a health state quantitative model and a dynamic threshold value; load is intelligently distributed in combination with charge and health states, battery pack working conditions are optimized, and the service life is prolonged; early warning performance accelerated decline by analyzing the change trend of the health state coefficient; and ship-shore real-time closed-loop early warning is constructed, the cooperative maintenance capability is improved, and safe and efficient operation of energy of the electric ship is comprehensively guaranteed.

The invention provides a park integrated energy optimization scheduling method and system, and relates to the technical field of energy scheduling, and the method comprises the steps: obtaining the state information of a park integrated energy system; establishing an energy scheduling model according to the state information; determining a constraint condition and a target function of the energy scheduling model; solving the energy scheduling model through an epsilon-constraint algorithm under the constraint of a constraint condition by taking the minimization of the objective function as a target, and generating a scheduling solution set; processing the scheduling solution set in a fuzzy decision mode to generate an optimal scheduling solution; and taking the optimal scheduling solution as a scheduling scheme, and carrying out optimal scheduling on the park integrated energy system. The energy utilization efficiency can be improved, and the energy safety and flexibility of the park are enhanced.

The invention belongs to the technical field of new energy safety monitoring, and particularly discloses a fire monitoring system and method for a wind turbine generator, and the system comprises smoke detectors, temperature detectors and image monitoring devices which are disposed at all parts of the wind turbine generator. Temperature and flue gas parameters are continuously monitored for 24 hours by a detector, and once collected data exceed a preset threshold value, an alarm is immediately triggered and position information is uploaded to a central control platform; the platform is immediately linked with a corresponding image monitoring device, and a video picture is started for visual review, so that a dual judgment mechanism of data alarm and image confirmation is realized, and a real fire behavior and a false alarm are effectively distinguished; after the fire behavior is confirmed, the system supports automatic or manual starting of the fire extinguishing device, and records and stores data and pictures of the whole process for follow-up dynamic analysis and calibration of a detection threshold value, so that a complete closed loop from monitoring, alarming, confirmation to disposal and improvement is formed.

The invention relates to the technical field of new energy station intelligent inspection, in particular to a new energy station intelligent safety inspection method and system, and the method comprises the steps: judging whether an inspection condition is satisfied, and starting an unmanned plane inspection task if the inspection condition is satisfied; generating a dynamic inspection path; performing intelligent safety inspection on the new energy station based on the dynamic inspection path, and collecting personnel operation image information of a target area in real time; the personnel operation image information is transmitted to the cloud server through the hangar center; and the cloud server identifies unsafe behaviors according to the personnel operation image information, marks key information of the hidden danger picture, determines the operation personnel with nonstandard behaviors and information thereof according to the key information, and outputs a potential safety hazard prompt signal. According to the invention, unmanned aerial vehicle inspection full coverage, least time and high unmanned aerial vehicle safety inspection efficiency are realized through dynamic path planning, hidden danger identification reminding is carried out, illegal behaviors are corrected in time, the station safety supervision efficiency and the production safety level are improved, and energy safety and green low-carbon development are guaranteed.

This invention discloses an intelligent control method for building photovoltaic (PV) curtain walls based on the linkage between light transmittance and energy storage status. This invention relates to the field of PV curtain wall control technology. By real-time monitoring of PV array power generation, energy storage system state of charge (SOC), and building load data, a SOC change curve is constructed to divide the power into high, medium, and low energy zones. A global control mode is automatically matched, maximizing economic benefits, self-balancing, or ensuring energy security. Based on this, an objective function is established with grid purchase cost, temperature deviation penalty, and battery loss as comprehensive objectives. A rolling optimization strategy is used to solve for the optimal light transmittance, energy storage charging and discharging power, and load adjustment under constraints, forming a collaborative control instruction set and issuing it for execution. This achieves deep coupling control of the PV curtain wall's light transmittance characteristics and the energy storage system, balancing building energy efficiency, economic benefits, and energy security, and improving the overall operational performance and intelligence level of the building PV system.

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 invention relates to the field of security technology, specifically to a control module and method for a comprehensive energy security system. It includes an analysis and prediction unit, an evaluation and calculation unit, a variable consumption unit, and a control strategy unit. The demand prediction module of this invention receives user periodic electricity consumption, temperature deviation, and precipitation deviation from the analysis and analysis module. It calculates a baseline energy demand based on the user periodic electricity consumption, and then calculates the impact of temperature deviation on user energy demand under extreme weather conditions. By combining the baseline energy demand and the impact of extreme weather conditions, it predicts the user's energy demand under extreme weather conditions. This combination allows for more accurate prediction of energy demand under extreme weather conditions, enabling advance adjustments to power generation plans and power dispatch, avoiding energy waste caused by supply-demand imbalances or excessive microgrid generation, optimizing resource allocation, and improving resource utilization efficiency.

The application discloses a kind of multi-energy internet dynamic networking and energy management method for satellite constellation, which comprises: judging whether to meet dynamic networking condition, and after judging to meet dynamic networking condition, determining the root node and the child node of satellite constellation to be dynamically networked, wherein the node is the energy terminal for satellite management;Root node is dynamically networked with the determined child node, and the multi-energy scheduling and decision method is used to manage the multi-energy internet after dynamic networking.The application can improve the energy security capability of on-orbit satellite constellation, the operation reliability and service life of on-orbit satellite.

The application provides a park comprehensive energy optimization scheduling method and system, and relates to the technical field of energy scheduling. The method comprises the following steps: obtaining state information of a park comprehensive energy system; establishing an energy scheduling model according to the state information; determining constraint conditions and an objective function of the energy scheduling model; under the constraint of the constraint conditions, solving the energy scheduling model by an epsilon-constraint algorithm to generate a scheduling solution set, processing the scheduling solution set by a fuzzy decision method to generate an optimal scheduling solution, and taking the optimal scheduling solution as a scheduling scheme to optimize the park comprehensive energy system. The application can improve energy utilization efficiency and enhance park energy security and flexibility.

The invention relates to an exception tool for a virtual security network system. A virtual security net system includes: at least one active remote sensor configured to output energy to establish an energy security net and to detect reflected energy reflected from an object disposed in the energy security net; and a processor in signal communication with the at least one active remote sensor. The processor is configured to determine an energy intensity of the reflected energy and, in response to the energy intensity exceeding an energy intensity threshold, identify the object as an exceptional tool allowed to be disposed in the energy security net.

The invention relates to the technical field of new energy safety operation, in particular to a multi-energy system safety response collaborative defense method based on voltage sensitivity identification, and provides a voltage sensitivity identification method to realize differential risk perception in extremely cold weather by constructing a mobile energy storage unit model and fully mining the advantages of multi-energy interactive operation of the mobile energy storage unit model. And determining the access position of the mobile energy storage unit in the risk scene, constructing a risk resistance evaluation model, and verifying the reasonability and feasibility of the proposed method. The identification method based on the voltage sensitivity can effectively improve the positioning accuracy of the mobile energy storage unit and improve the risk response capability of the multi-energy system; the safety and economy of system operation in a risk scene can be effectively measured through a risk assessment and benefit analysis model, the voltage level of the system is effectively improved, and the anti-risk capability of the multi-energy system is remarkably enhanced; the mobile energy storage unit in a multi-energy storage form can quickly and flexibly respond to system requirements, and economic losses are effectively reduced.

This application discloses a solar-powered pneumatic lifting and generating device, including a counterweight, an air plug, an air chamber, an air intake pipe, a generator, a stiffening chamber, a lifting and stiffening mechanism, and solar panels. Both the air chamber and the stiffening chamber are cylindrical and connected by the air intake pipe, which is equipped with a control valve. The air chamber has a cavity at its top, within which an air plug is movably mounted, and a counterweight is fixed to the top of the air plug. The generator is located on one side of the stiffening chamber, and its impeller is connected to the stiffening chamber via a pipe. The lifting and stiffening mechanism includes a motor, a pulley system, and a rope. One end of the rope is connected to the motor output, and the other end is connected to the counterweight via the pulley system. Several solar panels are connected to the motor via cables. This application provides a practical and innovative solution for distributed microgrids, independent power supply in remote areas, and emergency energy security, ensuring power supply reliability while minimizing dependence on fossil fuels and improving energy efficiency.

The present application relates to the technical field of energy security, and more particularly to a power distribution network elasticity improvement and joint optimization scheduling of repair personnel scheduling method and system, comprising: obtaining active power distribution network topology parameters, diesel generator and energy storage device parameters, renewable energy predicted output and load curve and numerical value; the post-disaster recovery model of active power distribution network is constructed in the guidance of elasticity, the adjustment strategy of distributed power generation resources is determined based on the topology reconstruction and island segmentation strategy method; the optimization scheduling model of repair personnel and network reconstruction coordination is constructed in the guidance of elasticity, and the second order cone relaxation method is used for relaxation processing to determine the fault repair strategy; through the active power distribution network topology parameters, the adjustable resource parameters and the renewable energy predicted output, the optimization problem is reconstructed based on the active power distribution network fault scene under the disaster; the optimization problem is solved with the minimum fault economic loss as the target, and the active power distribution network topology structure and the fault repair strategy are obtained.

The invention relates to a sustainable and stable output control method for new energy grid-connected power based on a flexible direct-current power transmission technology, and belongs to the technical field of new energy. Comprising the steps of performing time period optimization on a new energy power generation power prediction curve, and calculating a power average value of each time period as an initial output reference value; dynamically adjusting a reference value by combining a power grid regulation and control demand; constructing a new energy-flexible direct current transmission integrated coordination control model, taking power deviation quadratic sum minimization as a target function, and integrating new energy power generation constraints, flexible direct current system adjustment constraints and power grid frequency / voltage constraints; a rolling optimization control strategy is adopted, and the continuous stability of the output power of the combined system in a 24-hour operation period is realized by dynamically updating the charging and discharging power of the flexible direct current system. According to the invention, the visual controllability of the power grid to the new energy power is improved, the supply and demand balance capability and the anti-risk level of the power system are enhanced, the new energy consumption efficiency and the power grid stability are remarkably improved, and large-scale new energy safe grid connection is supported.

The application discloses a kind of simulation lithium battery thermal runaway thermal radiation and dynamic synergistic switching control method of jet fire, belong to energy safety and thermal management technical field, this method aims at solving the problem that single heat source cannot truly reproduce the whole process of thermal runaway in existing test, heat flux density is discontinuous and control lag.The method comprises: setting target heat flux density curve including radiation heating, synergistic switching and jet fire leading three stages;Real-time acquisition of battery state is carried out by multi-physical field sensor;Switching opportunity is judged based on thermal runaway prediction model;In switching stage, radiation and jet fire heat source power are smoothly adjusted, to ensure that total heat flux density continuously and accurately tracks target curve.The system includes double-source heating module, data acquisition module and central control module, to realize high-fidelity, high-repetitive thermal runaway whole process simulation.

The application provides an energy scheduling method and system based on provincial energy markers, constructs power safety models and pre-power allocation models of a plurality of time periods; marks energy net consumption provinces to obtain first marking nodes; marks energy net output provinces to obtain second marking nodes; marks energy net consumption provinces meeting third preset requirements by calculating the proportion of the second marking nodes in the energy net output provinces corresponding to the energy net consumption provinces, to obtain attention nodes; and evaluates the provincial energy safety situation based on the first marking nodes, the second marking nodes and the attention nodes. The application solves the problem of poor reliability of the existing technology for cross-provincial power allocation safety supply. The application considers the sufficiency of the energy allocation demand of the provinces by using reliable data basis and marking of the energy of each province, ensures energy mobilization safety, and improves the reliability of cross-provincial power allocation.

The invention provides a multifunctional composite material for thermal runaway global protection of a power battery system and a preparation method of the multifunctional composite material, and belongs to the technical field of new energy safety materials. The composite material is formed by compounding a surface-metalized glass fiber reinforcement layer and a ceramic glass fiber composite material matrix through an integrated molding process, a metal organic framework material is uniformly dispersed in the ceramic glass fiber composite material matrix. According to the invention, a single material system can cope with multiple security threats such as high-temperature flame, toxic smog, electromagnetic interference and mechanical shock generated in the thermal runaway process at the same time. The surface-modified MOF material simultaneously plays dual functions of suppressing smoke, reducing toxicity and enhancing an interface in a system, and has a synergistic effect with a fiber layer of the conductive glass fiber cloth, so that the structural integrity and functionality of the material in an extreme environment are ensured. The material is particularly suitable for safety protection between power battery modules, and solves the problems of poor reliability, large volume, large weight, high cost and the like in the traditional stacked solution.

The invention discloses a novel energy system safety risk analysis method and device based on carbon-energy coupling, and the method comprises the steps: inputting energy data and a carbon emission factor, and building a carbon-energy coupling dynamic model; generating typical risk scenes such as energy price fluctuation and extreme weather, and reducing to obtain a simplified scene set; then an upper-lower layer coupled risk quantification model is constructed, the upper layer focuses on energy supply cost and carbon emission optimization, and the lower layer focuses on power system operation cost minimization; and finally, solving based on a Monte Carlo method, and outputting a multi-dimensional risk assessment index. According to the method, the problem that multi-field risk interaction is difficult to describe by a traditional method is solved, accurate quantification of the multi-scene risk of the provincial novel energy system is realized, and scientific support is provided for provincial energy safety decision.

This invention provides a data center energy security scheduling method, system, equipment, and medium, belonging to the field of computer technology. Specifically, it models the problem as a constrained Markov decision process (CMDP), where the agent's objective is to minimize energy costs while adhering to a security constraint to ensure a continuous and sufficient power supply and prevent power shortages. A Lagrange-based constrained policy optimization algorithm is employed to learn a control strategy that conforms to predefined constraints. Under the premise of ensuring sufficient power supply to the data center, it effectively addresses the intermittency of renewable energy and electricity price fluctuations, achieving optimal operating costs and significantly improving the reliability and economy of microgrid operation.

The invention discloses an electricity-coal performance management and control method and system for realizing three-level application by a coal mine management department, and relates to the technical field of coal supply chain management. According to the invention, the problems of insufficient data processing capability and poor real-time performance are solved; through a distributed database, an intelligent contract and a block chain technology, a trust mechanism of multi-party collaboration is enhanced, task distribution is optimized, and the defect of a traditional method in collaboration efficiency is made up; meanwhile, resource scheduling optimization and dynamic adjustment are realized by using linear programming and time sequence analysis technologies, so that the flexibility and adaptability of the supply chain are improved, the accuracy of performance evaluation and the timeliness of contract execution are further guaranteed, efficient, stable and accurate management of the coal supply chain is realized, and the coal supply chain management efficiency is improved. And powerful support is provided for energy guarantee and enterprise economic benefit improvement.

A virtual security network system includes at least one active remote sensor in signal communication with a processor. The at least one remote sensor is configured to output energy to establish the energy security net and to detect reflected energy reflected from an object disposed in the energy security net. The energy safety net has a working zone defined within the energy safety net. The processor is configured to determine a location of the object within the energy security net. When the object is within the work area, the processor determines that the object is authorized to be within the energy security net, and when the object is outside the work area while remaining within the energy security net, the processor determines that the object is unauthorized to be within the energy security net.

The invention relates to the technical field of new energy safety response and regulation and control, and provides a risk resistance and collaboration method considering flexible resource participation in a heterogeneous energy system, comprising the following steps: step 1, constructing a regional heterogeneous energy system with flexible resource participation: mining intra-domain flexible resources under extreme conditions; 2, constructing a risk resisting system under an extreme condition: participating in heterogeneous energy system risk operation energy flow interaction in a heterogeneous energy flow interaction framework in combination with flexible resources, establishing an energy flow risk identification index, identifying system imbalance risks according to a criterion, and constructing the risk resisting system containing the flexible resources; 3, according to the risk defense system containing the flexible resources, constructing a heterogeneous energy system flexible cooperation benefit stratification model; flexible resources in the domain are excavated, a risk resisting system is constructed, and the HES flexibility and the risk interference resisting capacity can be effectively improved through the interaction effect of hydrogen / gas energy, electric heat and other energy sources.

The application is suitable for the technical field of new energy safety evaluation, and provides a dynamic evaluation method for operation risk of distribution network photovoltaic facilities under rainstorm conditions. In the embodiment, for the photovoltaic facilities to be evaluated, the multi-dimensional evaluation indexes including meteorological dimension, equipment dimension and operation dimension and the weight values of the indexes are determined; then the real-time risk evaluation data corresponding to the risk evaluation indexes are input into a risk grade comprehensive evaluation model to obtain a comprehensive evaluation vector of the photovoltaic facilities, and finally the final estimated risk grade and the corresponding processing method are determined through the comprehensive evaluation vector. In the embodiment, the three-dimensional data of meteorology-equipment-operation are processed, so that the evaluation result output by the risk grade comprehensive evaluation model of the application has high accuracy and comprehensiveness, thereby the fault early warning probability can be improved and the accidents can be reduced.

The invention relates to a direct-current power internet architecture constructed by a new energy block chain and an implementation method, and the direct-current power internet architecture comprises all new energy blocks which are linked through direct-current power lines connecting all the new energy blocks. The new energy block is composed of a new energy power generation device, a direct current load, a power frequency load, a power storage station and an inversion converter station which are connected through a closed annular graded power line, and a data port which is connected through 5G communication. Related, adjacent and similar new energy blocks in the jurisdiction are connected through direct-current power lines for connecting the new energy blocks to form a new energy block chain; the new energy block chains among the jurisdictions are subjected to power line connection to form a ubiquitous DC power internet, and energy in the new energy block chains and among the blocks flows from a high-voltage end to a low-voltage end to achieve net power dynamic balance. The direct-current power internet can be parallel to the power frequency power grid, peak clipping and valley filling are conducted on the power frequency power grid, double-grid uninterrupted power supply is achieved, and safe energy supply is guaranteed.

The present application relates to a kind of blockchain-based vehicle networking energy security transaction method, belong to vehicle networking and distributed energy transaction field.The method aims at solving the problem of fair pricing under asymmetric information, user privacy protection and transaction efficiency.The gist is that: authority issues certificate for vehicle and roadside unit;Vehicle node signs broadcast transaction request;Roadside unit verifies and broadcasts demand and collects response, then triggers smart contract;The contract is based on bayesian Nash equilibrium model, and the optimal equilibrium transaction volume and price are obtained by solving the first-order condition of maximum expected utility, to realize automatic matching;Identity and data privacy are protected by combining ring signature and zero-knowledge proof;Hybrid consensus mechanism is used to improve efficiency;Finally, deposit escrow, settlement and default handling are automatically completed by contract.The method is used to build decentralized, safe and reliable vehicle networking energy transaction market.

The invention relates to the technical field of island reef energy guarantee, in particular to an island reef energy self-sustaining type comprehensive guarantee system which is characterized in that an island reef comprehensive guarantee system framework covering material storage, a power supply chain, a communication chain, a water supply chain, a heating chain and a cold supply chain is constructed through multi-energy complementation, multi-chain cooperation and intelligent control on the basis of energy supply as a core; a full-period and high-toughness comprehensive guarantee scheme is provided for ocean islands, electric power, fuel, purified water and the like can be continuously supplied to ocean ships, daily-loaded electricity, heating, cooling, water, communication and the like on the islands can be guaranteed, the method can be popularized to the islands in the areas of the South China Sea, the East China Sea and the like, and the long-term self-sustaining capacity of the islands can be enhanced in the aspect of social benefits; in the aspect of economic benefits, the fuel transportation cost can be greatly reduced; the method has wide popularization potential in the aspect of technical benefits.

The invention belongs to the technical field of photovoltaic fault detection, and relates to a multi-modal centralized photovoltaic power station component fault detection method based on deep learning, which realizes spatial alignment and information complementation of two types of modal data through an image feature fusion technology, and provides a multi-modal centralized photovoltaic power station component fault detection method on the basis of an improved YOLO11 model. Various typical fault types, including hot spots, shielding, diode short circuit and the like, of the photovoltaic module can be efficiently identified. Compared with a traditional single-mode detection mode, the method effectively overcomes the identification bottleneck under the conditions of ambient light change, shadow shielding and single mode, significantly improves the accuracy and robustness of detection, reduces the missed detection and misjudgment risks, and comprehensively improves the reliability and coverage of routing inspection. Meanwhile, the method has remarkable technical advantages and innovation value in the aspect of intelligent inspection of the photovoltaic module, and provides powerful technical support for promoting digital transformation of the photovoltaic industry, improving the operation and maintenance efficiency of a clean energy system and guaranteeing energy safety.

The invention discloses an electrochemical energy storage fire extinguishing agent definition method and graded protection application thereof, relates to the technical field of crossing of new energy safety materials and system engineering, and aims to solve the problem that the industry safety and economical requirements are difficult to meet in the prior art. The method is based on a six-dimensional performance parameter system and specifically meets the following performance indexes. A1, the free radical scavenging rate is larger than or equal to 98%, and on the basis of a battery thermal runaway chain reaction mechanism, when the scavenging rate is larger than or equal to 98%, active free radicals such as OH and H can be effectively quenched, and the combustion chain reaction is interrupted; a2, the cooling rate is larger than or equal to 15 DEG C / s, the temperature can be reduced to 100 DEG C or below within 10 s at the cooling rate of 15 DEG C / s according to the thermal runaway critical temperature of the battery module, and heat spreading is restrained. The method has the advantage of meeting the requirements of safety and economy.