117 results about "Energy security" patented technology

The invention discloses a new energy bearing capacity evaluation method considering transient overvoltage constraint, and belongs to the technical field of energy safety. The invention discloses a new energy bearing capacity evaluation method considering transient overvoltage constraint. The method comprises the following steps: S1, calculating a short-circuit ratio of a multi-new energy station sending end system; s2, calculating the transient overvoltage of a new energy station node in the sending end system; and S3, constructing a power grid new energy bearing capacity evaluation model considering the transient overvoltage constraint. According to the new energy bearing capacity evaluation method considering the transient overvoltage constraint, the mathematical relation among the transient overvoltage amplitude, the system short-circuit ratio and the active power of the new energy station is used as a main line, and the system short-circuit ratio is used as an intermediate quantity; a mathematical expression of a new energy station node transient overvoltage amplitude and new energy station active power is established, and a power grid new energy bearing capacity evaluation model considering multiple new energy station transient overvoltage constraints is constructed, so that it is ensured that an optimal new energy station output value can be obtained, and safe operation of a power grid is ensured.

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.

The invention discloses a coal power multi-path transformation and new energy combination decision-making method under low-carbon transformation. The method comprises the following steps: firstly, constructing a system comprising first-level effect indexes such as environmental influence, economic benefit, energy safety and technical innovation and corresponding second-level indexes; then, alternative schemes of various coal power transformation technology and new energy project type combinations are generated; then quantitatively evaluating the effect index of each scheme, and calculating a comprehensive utility value by using multi-criterion decision analysis; identifying potential risk factors, and performing uncertainty analysis through Monte Carlo simulation; and finally, according to the low-carbon transformation target and policy evaluation scheme conformity, selecting a scheme which most conforms to the policy target, and continuously monitoring and adjusting. The coal-electricity multi-path transformation and new energy combination decision-making method under low-carbon transformation is beneficial to promoting energy low-carbon transformation, optimizing resource allocation, improving economic benefits, promoting technical innovation, enhancing risk management capability and ensuring that a project is consistent with policy orientation.

The invention discloses an electricity-hydrogen coupling system risk scheduling method based on robust safety deep reinforcement learning, and the method comprises the following steps: 1), considering the Faraday efficiency loss effect of an electrolytic cell, and constructing an electricity-hydrogen hybrid energy storage dynamic operation model; 2) considering the wind power uncertainty, and establishing an electricity-hydrogen coupling system risk scheduling model considering the dynamic operation of electricity-hydrogen hybrid energy storage; 3) constructing a robust constraint Markov decision architecture; 4) parameterizing the robust constraint Markov decision architecture by using a flexible action device-evaluator baseline algorithm; and 5) solving the risk scheduling model of the electricity-hydrogen coupling system by using the parameterized robust constraint Markov decision process architecture to obtain a risk scheduling scheme of the electricity-hydrogen coupling system. According to the method, the new safety deep reinforcement learning algorithm is provided for the important requirements of energy low-carbon green transformation and energy safety, efficient and strict management and control of the electric hydrogen coupling system risk are achieved, and the reliability and safety of system operation are guaranteed.

The invention discloses an electricity customer credit rating management method and system based on a differentiated service strategy, particularly relates to the field of energy service, and solves the problem of cold start user credit evaluation deviation and power service resource dynamic adaptation optimization. Seamless migration of credit scoring parameters and smooth transition of user portraits are realized by introducing multi-dimensional feature similarity analysis of virtual data and real data and a time-driven weight attenuation strategy, and continuity and adaptive optimization capability of an evaluation system are ensured; meanwhile, an intelligent service matching network is constructed based on the credit rating updated in real time, and a closed-loop service management and control system driven by data feedback is formed by dynamically adjusting a prepayment mode threshold value and an electric charge overdraft elastic interval strategy, so that the credit value of a user is deeply associated with the power resource configuration efficiency, and the user experience is improved. The operation risk and the service cost of a power grid enterprise are reduced, and finally collaborative optimization ecology considering energy safety management and user behavior guidance is established.

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 relates to the technical field of intelligent fire fighting, in particular to an electrical fire intelligent monitoring and early warning top-speed alarm automatic fire extinguishing system and method, and the system comprises a ubiquitous sensing terminal, an intelligent decision-making platform, a linkage execution device, an energy guarantee module and a communication interaction unit; wherein the ubiquitous sensing terminal is used for collecting electrical equipment operation data and environmental parameters in real time and generating structured data; the intelligent decision-making platform is used for processing the structured data, evaluating an electrical fire risk level and generating an early warning and fire extinguishing strategy; the linkage execution device is used for realizing top-speed alarm and intelligent fire extinguishing according to early warning and fire extinguishing strategies; the energy guarantee module is used for providing three-level redundant power supply for the system and ensuring reliable operation of the system; and the communication interaction unit is used for multi-protocol data transmission and remote control. Therefore, the problems of high false alarm rate, large response delay, single fire extinguishing mode and the like of a single sensor in the prior art are solved.

The invention provides an index system for an electricity-hydrogen cooperation degree, an evaluation method, an evaluation device, equipment and a medium. The method comprises the following steps of: representing a positioning synergistic effect of two secondary energy sources of electricity and hydrogen on green low-carbon transformation and energy source safe supply by taking the proportion of the electric energy and the hydrogen energy in terminal energy consumption and the external dependency of the energy sources as indexes; a flexible resource scale and a new energy consumption space are taken as indexes to represent the promotion effect of a hydrogen energy system on an electric power system, and green power cost reduction, contribution of income acquisition by participation of a green hydrogen project in an auxiliary service market to green hydrogen cost reduction and safety supply protection capability provided by a large power grid for the green hydrogen project are taken as indexes to represent the promotion effect of the hydrogen energy system on the electric power system. Representing the promotion effect of the power system on the hydrogen energy system; the main body diversity level and the value co-creation ability are used as indexes to represent the inter-chain multi-main-body collaborative symbiosis level, the inter-chain resource sharing level and the value increment level of the electricity and hydrogen double industrial chains, so that the problem that the electricity and hydrogen collaborative degree needs to be clearly and quantitatively measured and calculated in the electricity and hydrogen collaborative development target at different stages is solved.

The invention belongs to the technical field of new energy safety, and relates to a battery fire extinguishing liquid, in particular to a fire extinguishing liquid for battery fire as well as a preparation method and application thereof. The fire extinguishing fluid has a fluid shearing and thinning function by adding the nano material and the rheology modifier, firstly, the fire extinguishing fluid has certain viscosity in a static state, can be effectively adsorbed on the surface of a battery, and plays a continuous cooling role; then, when the fire extinguisher is ejected and released, the fire extinguishing liquid is reduced in viscosity under the action of pressure, easy to flow, good in ejection effect and small in residual quantity. Meanwhile, by adding efficient fire extinguishing components, the fire extinguishing performance of the fire extinguishing liquid is greatly improved. The fire extinguishing liquid can be applied to inhibition and extinguishing of battery fire, and the preparation method is simple and suitable for large-scale popularization and application.

The invention relates to the technical field of energy safety, in particular to a power distribution network elasticity improvement and repair personnel scheduling joint optimization scheduling method and system, and the method comprises the steps: obtaining an active power distribution network topological parameter, a diesel generator and energy storage equipment parameter, and a renewable energy prediction output and load curve and value; constructing a post-disaster recovery model of the active power distribution network by taking elasticity as guidance, and determining an adjustment strategy of distributed power generation resources based on a topology reconstruction and island segmentation strategy method; constructing an optimal scheduling model for coordinating maintenance personnel and network reconstruction by taking elasticity as guidance, and performing relaxation processing by using a second-order cone relaxation method to determine a fault maintenance strategy; the output condition is predicted through active power distribution network topological parameters, schedulable resource parameters and renewable energy sources, and an optimization problem is reconstructed based on an active power distribution network fault scene under a disaster; and solving an optimization problem by taking the minimum fault economic loss as a target to obtain an active power distribution network topological structure and a fault maintenance strategy.

The invention relates to a multi-module hybrid micro-grid energy storage shelter energy management control system. The multi-module hybrid micro-grid energy storage shelter energy management control system comprises a micro-grid energy storage shelter energy management control system EMS, an energy storage module, a fire fighting system, a photovoltaic power generation system, an alternating current input and output acquisition module, a system circuit breaker and contactor on-off acquisition module, an internal direct current relay and an indicating lamp, an energy storage square cabin control panel knob and a remote control terminal. According to the invention, through presetting the off-grid standby control method, the off-grid power supply control method, the grid-connected standby control method, the grid-connected power supply control method, the charging power adjustment algorithm of each energy storage module and the like, stable and reliable operation of the multi-module hybrid micro-grid energy storage shelter system is realized; according to the invention, the energy consumption demand of a remote area with power shortage is met, diversified and flexible energy supply energy consumption demand schemes are provided, the energy supply in emergency is improved, and the energy safety and reliability are enhanced.

A walking beam type energy-saving pumping unit with a gravity compensation mechanism and turbine power generation mainly comprises a walking beam type pumping unit base, a solar power generation device, the gravity compensation mechanism, a horse head, a pumping rod, a pumping well and the like. In the working process, the gravity compensation mechanism can counteract the driving torque through potential energy release of the balancing weight; the turbine energy storage power generation device is provided with a turbine in a pumping well cavity to form a double-stroke fluid kinetic energy electromagnetic capturing mechanism; the solar power generation device efficiently absorbs solar radiation and converts the solar radiation into electric energy, and the load requirement for a traditional power grid is remarkably reduced. The energy consumption of the oil pumping unit can be effectively reduced, the stored energy of the oil pumping unit is increased, so that the dependence on a power grid is reduced, the energy safety in China is guaranteed, and wide application prospects are achieved.

The invention relates to the technical field of comprehensive energy utilization, and provides a comprehensive energy system utilizing LNG (Liquefied Natural Gas) multi-energy complementary comprehensive output, which comprises an LNG cold energy utilization system, a methane cracking hydrogen production system, a power generation and power supply system, a waste heat centralized utilization system and a product supply system. A natural gas direct cracking hydrogen production technology, an LNG (Liquefied Natural Gas) cold energy utilization technology and a waste heat utilization technology are mainly utilized to realize natural gas state conversion, hydrogen production and hydrogen pre-cooling, and liquid hydrogen is prepared by utilizing a multi-stage circulating hydrogen cooling technology; meanwhile, by-product carbon of the methane cracking hydrogen production technology can be used as a high-purity carbon raw material after being captured and processed, and is used for processing various by-products. The system has the advantages of comprehensive energy resource output, extremely low carbon comprehensive emission and pollutant emission, cold and hot energy comprehensive regulation and control, energy safety guarantee and the like, and zero-carbon liquid hydrogen can be provided in a more energy-saving and environment-friendly manner.

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 multifunctional combined use method of a high-expansibility mobile power supply, relates to the technical field of mobile power supplies, and realizes modularization, multiple functions and high reliability of the power supply by constructing a combined system consisting of a main power supply module and a plurality of independent function expansion modules. The main power supply module comprises a physically reconfigurable energy storage array unit, an energy partition isolation management system, a multi-node energy routing core and a rotary encoder, and has a dynamic topology autonomous evolution capability and a fault self-healing mechanism. A multi-mode biological heuristic sensor fusion unit and a multi-stage phase change micro-cavity cooling structure are integrated in the expansion module, so that state data can be acquired in real time and thermal stability can be guaranteed. According to the invention, the adaptability, energy supply continuity and user interaction flexibility of the mobile power supply system in a complex environment are improved, and the mobile power supply system is suitable for application scenarios with high requirements on energy safety and reliability, such as field operation, military communication, disaster rescue and the like.

The invention relates to a coal power carbon emission reduction path optimization method based on multi-objective constraint, which belongs to the field of power system transformation, and comprises the following steps: calculating the service life parameter of an active service unit by adopting a unit decommissioning algorithm module, and eliminating units with the service life parameter lower than the service life parameter; and a carbon emission reduction technology optimization algorithm module is adopted to generate a carbon emission reduction technology transformation scheme on the basis of the remaining units, and an optimal carbon emission reduction technology transformation scheme is searched through continuous iteration of a simulated annealing algorithm. According to the invention, the scale of a decommissioning unit is determined through a unit decommissioning algorithm module, and installed capacity change conditions such as total installed capacity / newly-added installed capacity / decommissioning installed capacity of various coal power units are obtained; and solving through a carbon emission reduction technology optimization algorithm module to obtain a coal-electricity low-carbon transformation path layout, a carbon emission reduction amount of a coal-electricity low-carbon transformation path, and investment cost, operation and maintenance cost, carbon reduction cost and the like of a carbon emission reduction technology in a planning period, and a series of external constraint conditions such as energy safety, economic development, policy carbon reduction target and the like are considered.

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 present invention relates to the technical field of reservoir-type gas storage construction, and discloses a design method for the construction of a gas storage reservoir in coordination with gas injection to improve oil recovery, specifically: on the basis of determining that the plugging property of the reservoir meets the requirements, the gas source of the gas injection is guaranteed, and the gas injection in the reservoir is feasible, it is explained that the reservoir can carry out the construction of a reservoir-type gas storage in coordination with gas injection to improve oil recovery; gas injection to improve oil recovery includes determining the injection pressure, optimizing the injection and production well network, allocating the injection of gas injection wells, and allocating the production of oil production wells; the construction of a reservoir-type gas storage includes operating pressure design, storage capacity design, working gas volume demonstration, operating cycle design, and injection and production capacity evaluation of injection and production wells. The present invention can achieve the improvement of oil recovery rate through gas injection while building a reservoir-type gas storage. Therefore, the construction of a gas storage reservoir in a reservoir to improve oil recovery has important strategic significance: on the one hand, the oil recovery rate can be greatly improved through gas injection and oil displacement, and on the other hand, energy security is ensured by building a gas storage.

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 provides a method for autonomously reducing power consumption in a shadow period of a low-orbit satellite, and the method comprises the steps: setting a first threshold configuration and a second threshold configuration which comprise different threshold ranges for each heater, and enabling the upper and lower limits of the second threshold configuration to be not lower than those of the first threshold configuration; establishing a mapping relation between a satellite orbital plane solar incident angle and an orbital period illumination duration, and setting a critical solar incident angle as a shadow period control starting condition; the method comprises the following steps: monitoring accumulation time of non-discharge of a storage battery pack in real time, triggering threshold switching condition judgment when a solar incident angle is within a certain range in combination with current illumination period duration and preset heater advanced temperature rise time, and switching from first threshold configuration to second threshold configuration for preheating if a specified condition is met. And after the storage battery is discharged, the first configuration is automatically recovered. Therefore, according to the invention, the discharge depth and the peak discharge current of the storage battery can be autonomously reduced, and the on-orbit energy safety management capability is improved.

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.

The invention discloses a conduction logic and cascade model analysis method in the field of energy power, and the method comprises the steps: data collection and preprocessing: collecting global energy trade data, including energy inlet and outlet quantity, price and the like, and carrying out the preprocessing to construct a global energy cascade conduction network; and model establishment: based on the collected data, an under-load cascade fault model considering overload limitation is constructed, and the model can simulate a cascade fault process in an energy trade network. And scene setting and simulation: setting different scenes, simulating node load upper limit and lower limit fluctuation, and performing simulation analysis by using the model. And result analysis and report: according to the simulation result, analyzing the influence of the international energy power pattern on the energy safety of China, and generating an analysis report to provide reference for policy formulators. According to the invention, through simulation under different scenes, the influence of the international energy power pattern on the energy power development of China can be found.

The present invention relates to a method for optimizing the path of coal-fired power generation carbon emission reduction based on multi-objective constraints, and belongs to the field of power system transformation. The method comprises: using a unit decommissioning algorithm module to calculate the life parameters of the active units, and eliminating the units whose life parameters are lower than the life parameters; using a carbon emission reduction technology optimization algorithm module to generate a carbon emission reduction technology transformation plan based on the remaining units, and continuously iterating to find the optimal carbon emission reduction technology transformation plan through a simulated annealing algorithm. The present invention determines the scale of retired units through the unit decommissioning algorithm module, and obtains the changes in installed capacity such as the total installed capacity / newly installed capacity / retired capacity of various types of coal-fired power units; and obtains the layout of the coal-fired power generation low-carbon transformation path, the carbon emission reduction amount of the coal-fired power generation low-carbon transformation path, and the investment cost, operation and maintenance cost, and carbon reduction cost of the carbon emission reduction technology during the planning period through the carbon emission reduction technology optimization algorithm module, taking into account a series of external constraints such as energy security, economic development, and policy carbon reduction targets.