34 results about "Recovery effect" patented technology

The invention discloses a bus module self-recovery method and device, equipment and a storage medium. According to the invention, the communication state of the bus module is monitored in real time, and the abnormal detection signal is identified; when an abnormal detection signal is identified, the fault type is automatically diagnosed; dynamically selecting and combining an optimal recovery strategy according to the fault type; executing a self-recovery operation corresponding to the recovery strategy, and verifying a recovery effect; if the recovery fails, automatically adjusting and executing the recovery strategy of the next priority according to the fault type and the failure frequency; isolating communication between the fault bus module and other normal modules through a bus arbitration mechanism; recording fault features and a recovery process, and generating historical data for subsequent fault prediction; and if recovery fails for multiple times, triggering a system-level security protection mechanism, and giving an alarm. According to the method, the fault type can be quickly and accurately identified, the optimal recovery strategy is selected in a targeted manner, and the system maintainability and safety of the bus module system are effectively improved.

The invention belongs to the technical field of power systems, and particularly discloses a hybrid pumped storage system comprehensive frequency modulation performance evaluation method and system considering adjustment wear. According to the method, the evaluation index system used for reflecting the performance adjustment state of the to-be-evaluated hybrid pumped storage system is obtained, the weight corresponding to each evaluation index in the evaluation index system is calculated by adopting the analytic hierarchy process, the entropy weight method and the variable coefficient method, and finally the performance adjustment state of the to-be-evaluated hybrid pumped storage system is evaluated according to each evaluation index and the weight corresponding to each evaluation index. And evaluating the hybrid pumped storage system to be evaluated. According to the method, the cooperative response state of the to-be-evaluated hybrid pumped storage system can be evaluated, the system cooperative response performance considering the system adjustment wear and the frequency recovery effect is comprehensively evaluated, and the performance of the to-be-evaluated hybrid pumped storage system is accurately evaluated; reasonable decision support is provided for scheduling strategy optimization of the hybrid pumped storage system to be evaluated, and the operation safety and economical efficiency of the pumped storage system are improved.

The invention discloses a multi-source cooperative power distribution network fault self-recovery and recovery optimization method, system and device and a storage medium, and relates to the technical field of power system power distribution networks, and the method comprises the steps: collecting the electrical quantity and parameters of each node in real time, and obtaining system state information through data processing; detecting faults by using a multi-criterion algorithm, and determining types and severity; determining a fault section according to a result and minimizing isolation; a collaborative recovery strategy is formulated by integrating multiple sources, and network reconstruction and switching operation optimization are carried out; and finally evaluating a recovery effect, and combining with a historical data feedback adjustment strategy to improve the recovery efficiency. The fault recovery capability of the power distribution network can be remarkably improved, the fault isolation is fast, the load recovery rate is high, the recovery time is short, the economic loss is reduced, the self-healing of different fault scenes is strong, and the unification of technology and economic benefits is realized.

The invention provides a flexible interconnected power distribution network power supply recovery method considering wind and light uncertainty and a related device. According to the method, the objective function, the system power flow constraint, the E-SOP operation constraint, the system safe operation constraint and the wind and light output constraint are constructed by fully considering the wind and light uncertainty model and the energy storage type intelligent soft switch E-SOP loss condition. And solving the objective function based on each constraint condition, and controlling the E-SOP by adopting the solved optimal power supply recovery topology so as to recover the power supply of the power-losing node in the flexible interconnection power distribution network. Therefore, the self-healing control support capability of the E-SOP can be fully excavated, and the influence of the wind and light uncertainty on the recovery of the power distribution network can be explored, so that the fault recovery effect of the flexible interconnection power distribution network can be improved, the power supply recovery capability of the power distribution network can be effectively improved, and certain help is provided for the safe and stable operation of the power distribution network.

The invention relates to the technical field of hardware mold machining, in particular to a precision hardware mold beveling device which solves the problem that when a hardware mold is subjected to beveling machining traditionally, the metal scrap recycling effect is poor, the precision hardware mold beveling device comprises a machining table, and a recycling groove with an opening in the top is formed in the machining table; a plurality of supporting rollers are arranged above the recovery tank at intervals, a cavity is formed in each supporting roller, each cavity is communicated with the pump body through a connecting pipe, a plurality of vent holes are formed in the upper surface of each supporting roller, each supporting roller is sleeved with a rotatable sleeve part, and the sleeve parts are breathable, have the buffering capacity and are used for buffering impact force of chippings and filtering the chippings; when the pump body works to form negative pressure in the cavity, gas flows into the cavity in the supporting roller through the vent holes, and chippings are adsorbed to the upper surface of the suite in a negative pressure mode. When the suite is cleaned, the suite is rotated, the metal chippings adsorbed on the upper surface of the suite fall into the recovery tank after rotating to the lower portion and losing adsorption force, and the supporting roller has magnetism.

The invention belongs to the technical field of electrical engineering, and discloses a power distribution network source-network-storage multi-resource collaborative optimization method and system, and the method comprises the steps: segmenting the estimated fault repair time, obtaining an SOP control mode and the number of uncharged islands in each time period, and carrying out the optimization of the SOP control mode and the number of uncharged islands; and constructing a controllable power supply-new energy coordinated micro-grid partition model taking recovery of total load power as an optimization target and taking various resource constraints as conditions, and solving to obtain SOP opening and closing states in each time period as a fault recovery scheme. According to the method, various flexible resources such as distributed new energy, a controllable power supply and stored energy in a future power distribution network are fully considered, and optimization and coordination of the resources in fault recovery are realized through segment processing and model construction. By adopting the method, the problem that the existing fault recovery means cannot comprehensively consider various resources is effectively solved, various flexible power generation resources can be more reasonably integrated, the recovery effect of the power distribution network after the fault is effectively improved, and the influence caused by power failure is reduced.

The invention discloses an accelerated stress testing method based on a proton exchange membrane (PEM) electrolytic cell. Relates to the technical field of electrochemical testing. The method comprises the following steps: applying cyclically changing dynamic electric load stress to a proton exchange membrane electrolytic cell; in the stress applying process, transient diagnosis is synchronously executed to obtain electrochemical parameters; the electrochemical parameters are evaluated in real time, when the electrochemical parameters meet preset health state triggering conditions, the dynamic stress is interrupted, and a recovery protocol is automatically triggered and executed; and after the recovery protocol is executed, the transient diagnosis is executed again to evaluate the recovery effect. According to the method, self-adaptive closed-loop control based on real-time diagnosis results is introduced, so that the technical problems that an existing accelerated stress test method cannot evaluate a performance attenuation mechanism online and cannot quantify the system recovery capability are solved, and the durability and the toughness of the proton exchange membrane electrolytic cell under the dynamic working condition can be comprehensively and accurately evaluated.

The utility model discloses a reusable felt, which relates to the technical field of felts, and comprises a felt body and a fireproof layer, the bottom of the felt body is connected with an elastic layer, the bottom of the elastic layer is connected with a noise reduction layer, the fireproof layer is connected to the bottom of the noise reduction layer, the elastic layer comprises a first rubber layer and a second rubber layer, and a first rubber strip, a second rubber strip and a third rubber strip are mounted in each of the first rubber layer and the second rubber layer. When the reusable felt is used, the whole felt is extruded to deform, so that the first rubber strip, the second rubber strip and the third rubber strip are mutually extruded and collided, and the first rubber strip, the second rubber strip and the third rubber strip have good elastic recovery effects; therefore, the first rubber layer and the second rubber layer have a better recovery effect, the whole felt is not prone to damage, a user can repeatedly use the felt, and the service life of the whole felt is prolonged.

The present invention discloses a system minimum load shedding method that takes into account electrical coupling sensitivity, including: constructing a comprehensive sensitivity index based on the IEGS air pressure instability scenario, quantifying the impact of increased electricity and gas loads on the IEGS air pressure, and using the air pressure of the node with the maximum comprehensive sensitivity index as the air pressure weak link; constructing a load shedding sensitivity index for the air pressure weak link, and evaluating the effect of removing the load of each node on the air pressure recovery of the node with the maximum comprehensive sensitivity index when the air pressure is about to become unstable; sorting each load node from large to small according to the load shedding sensitivity index, and removing the electricity / gas load in sequence when the air pressure is about to become unstable, ultimately achieving the minimum load shedding of the IEGS. The present invention analyzes the relationship between the air pressure of each IEGS node and each electricity and gas load, identifies the weak link that affects the stability of the IEGS air pressure, and comprehensively considers the impact of the load changes of each node on the air pressure of the weak link, formulates the minimum load shedding sequence of the IEGS, and ultimately achieves the minimum load shedding across the electricity and gas energy systems.

The invention provides a heavy metal comprehensive recovery device and recovery method applied to waste batteries, and relates to the technical field of battery recovery, the recovery device comprises a crushing assembly, a conveying assembly, a material spreading assembly, a first sorting assembly, an auxiliary sorting assembly, a second sorting assembly and a material blocking assembly, the material spreading assembly is used for spreading waste battery particles; the first sorting assembly is used for separating magnetic metal in waste battery particles, and the second sorting assembly is used for sorting through eddy current. Through cooperative arrangement of multi-stage separation, the recovery effect is improved; single-layer distribution and non-overlapping shielding of materials are ensured through the material spreading assembly, the height change of a material layer on the conveying belt is sensed in real time through the infrared monitoring system, and magnetic metal particles which are not captured by a permanent magnet roller are continuously adsorbed on the surface of a rotating sleeve through the arrangement of an auxiliary roller with a non-magnetic section in the auxiliary assembly and the rotatable sleeve. Magnetic impurities are prevented from being mixed into an eddy current area, and the product quality of the recovery device is improved.

The present invention proposes a commutation failure suppression method applicable to a UHV DC hierarchical access system, where the high and low end converter valves of the access system are connected in series on the DC side. The suppression method uses the trigger angle advance amount output by the commutation failure prevention control system CFPREV of the faulty layer as the electrical detection quantity, and by setting a coordination coefficient K, coordinates and cooperates it with the control systems of non-faulty layers to reduce the probability of commutation failure occurring in non-faulty layers; and reduces the DC current of the high and low end converters by triggering the VDCOL instruction in advance. Compared with the traditional commutation failure suppression method for hierarchical access systems, the present invention has stronger fault resistance and recovery effects.

The invention relates to the technical field of computers, in particular to a consumer container restarting method and device, electronic equipment and a storage medium. According to the method, firstly, the operation information of the consumer container deployed at multiple nodes is acquired in real time, the ongoing asynchronous task information and the process identification information are accurately captured, container resource occupation, task progress, process details and the like are mastered, the task volume and the complexity can be clarified in advance, and the task processing efficiency is improved. And the problems of poor asynchronous task recovery effect and low efficiency are effectively solved. And when a restart instruction is responded, restart performance evaluation is performed by utilizing collected multi-dimensional information, so that the restart opportunity is determined on the basis, the dilemma of restart when the data flow is large in the past is overcome, and the task consumption efficiency is ensured not to be damaged. And finally, based on the specific type of the restart instruction and the evaluation result, customizing a target restart strategy to ensure orderly, efficient and safe restart of the multi-node asynchronous task consumer container and maintain stable operation of the system.

The present invention relates to the technical fields of artificial intelligence, intelligent processing of printing data, electronic device diaphragms, etc., and provides an intelligent evaluation method for the VOC recovery effect in diaphragm printing and an electronic device diaphragm. By collecting the inlet VOC concentration detection data, outlet VOC concentration detection data, operating parameters of the VOC recovery device, environmental parameters during the operation of the VOC recovery device, and historical VOC recovery rates in the operation records of the VOC recovery device of the diaphragm printing, and based on these collected printing data, the VOC recovery rate of the VOC recovery device is predicted using a trained neural network model. According to the prediction result obtained by predicting the VOC recovery rate of the VOC recovery device using the neural network model, an intelligent evaluation and optimization suggestions for the recovery effect of the VOC recovery device are provided, so as to effectively evaluate the VOC recovery effect during the printing process of the electronic device diaphragm, perform refined management on VOC recovery, and ensure printing safety.

The invention relates to a hybrid energy storage system charge state self-recovery method based on double-layer fuzzy control and a high and low frequency compensation link. The method comprises the following steps: obtaining the output current of each converter through a droop control relational expression; taking a hybrid energy storage system SOC and a DC bus voltage normalization value as a first-layer fuzzy recovery control input quantity and an output recovery quantity; taking the SOC of the hybrid energy storage system as a second-layer fuzzy constraint control input quantity, and outputting a constraint coefficient; performing derivative value judgment on the first-order derivative and the second-order derivative of the power of the super capacitor to obtain high-frequency and low-frequency band signals; the high-low frequency band signal, the derivative of the current of the supercapacitor and the difference value between the output voltage of the supercapacitor converter and the reference value of the supercapacitor converter are subjected to recovery compensation to output a recovery compensation amount; and the high and low frequency band signals, the recovery quantity and the recovery compensation quantity output by the recovery compensation link are subjected to decoupling compensation to output the recovery quantity with decoupling compensation. According to the invention, the SOC recovery effect of the energy storage system can be improved, and reliable operation of the optical storage DC micro-grid is ensured.

The utility model discloses a fluorescent magnetic powder flaw detection tool which is used for placing a detection piece and comprises a bracket module, a slide rail module, a first side edge recovery module and a second side edge recovery module, the sliding rail module is installed on the top of the support module, the first side edge recycling module and the second side edge recycling module are installed on the two sides of the support module respectively, and the support module comprises a first supporting seat, a second supporting seat, a third supporting seat, a first side edge installing plate, a second side edge installing plate and a recycling plate. According to the fluorescent magnetic powder flaw detection tool disclosed by the utility model, linkage is carried out through the bracket module, the sliding rail module, the first side edge recovery module and the second side edge recovery module, so that fluorescent magnetic suspension dripping on a detection piece is effectively recovered, and the fluorescent magnetic powder flaw detection tool has the advantages of stable structure, high practicability and good recovery effect.

This application discloses a method, apparatus, medium, and product for recovering fatigue effects of hafnium-based ferroelectric capacitors, relating to the fields of semiconductor devices and integrated circuit technology. The method includes: determining a hybrid recovery pulse sequence; obtaining the initial polarization intensity of the target hafnium-based ferroelectric memory; after performing read / write operations on the target hafnium-based ferroelectric memory, obtaining the real-time residual polarization intensity of the target hafnium-based ferroelectric memory as a first residual polarization intensity; determining whether the target hafnium-based ferroelectric memory is in a fatigue state based on the first residual polarization intensity and the initial polarization intensity; and when the target hafnium-based ferroelectric memory is in a fatigue state, applying a programmed hybrid recovery pulse sequence to the target hafnium-based ferroelectric memory. This application utilizes a hybrid recovery pulse sequence to recover fatigue effects of hafnium-based ferroelectric capacitors, which can improve the polarization intensity recovery effect and the durability of the hafnium-based ferroelectric memory.

The utility model relates to the technical field of stripping tank, and disclose a kind of stripping tank of tin recovery of surface convenient to, including stripping tank body, the both sides sidewall lower part of stripping tank body is fixedly installed with mounting seat, the top surface of mounting seat is fixedly installed with push rod motor. By the basket of certain inclination angle, it is favorable to the flow and collection of stripping liquid and tin, further promote tin recovery effect, electric sliding platform drives the air jet head on moving seat to move and carry out air injection to workpiece surface, can quickly blow off residual stripping liquid and tin, reduce the residue of tin on workpiece surface, improve the recovery rate of tin recovery, by the thread hole on first support plate and second support plate and thread rod cooperation, conveniently adjust the position of limiting plate, simultaneously, the fixed rod of inclination installation makes second support plate higher than first support plate, workpiece can be clamped and fixed when placing, such as the upper portion and lower portion of circuit board, make it more stable.

The utility model discloses a high-performance guide pillar structure applying a die, which comprises a guide pillar and a baffle plate arranged on the outer surface of the guide pillar, a spring is sleeved on the guide pillar and is matched with the baffle plate, a sleeve piece is sleeved on the guide pillar and is matched with the spring, a buffer pad is arranged on the baffle plate, and a lantern ring is arranged on the buffer pad and is respectively matched with the spring and the sleeve piece. According to the utility model, the spring is used for resetting the ball sleeve and is arranged on the baffle plate of the guide post, and when the spring is compressed, the bottom of the ball sleeve is in contact with the lantern ring at the upper part of the buffer pad, so that the buffer pad is extruded before the spring is completely compressed, and the lantern ring moves downwards at the same time; the spring cannot be completely compressed, so that the spring can be prevented from gradually losing the recovery effect due to excessive compression, and the service life of the spring is prolonged.

The invention discloses a hafnium-based ferroelectric capacitor fatigue effect recovery method and device, a medium and a product, and relates to the technical field of semiconductor devices and integrated circuits, and the method comprises the steps: determining a hybrid recovery pulse sequence; obtaining the initial polarization intensity of the target hafnium-based ferroelectric memory; after the target hafnium-based ferroelectric memory is subjected to read-write operation, acquiring the real-time remanent polarization intensity of the target hafnium-based ferroelectric memory as first remanent polarization intensity; determining whether the target hafnium-based ferroelectric memory is in a fatigue state or not according to the first residual polarization intensity and the initial polarization intensity; when the target hafnium-based ferroelectric memory is in a fatigue state, applying the programmed hybrid recovery pulse sequence to the target hafnium-based ferroelectric memory; according to the scheme of recovering the fatigue effect of the hafnium-based ferroelectric capacitor by using the hybrid recovery pulse sequence, the polarization intensity recovery effect and the durability of the hafnium-based ferroelectric memory can be improved.

The invention relates to the technical field of welding equipment. The scaling powder recycling device comprises a collecting cover, a conveying pipe, a first fan and a connecting box, the two sides of the connecting box communicate with a first recycling box and a second recycling box correspondingly, a filtering assembly is arranged on the collecting cover, and a heating assembly is arranged on the conveying pipe; the first recycling box and the second recycling box are each internally provided with a recycling self-cleaning assembly and a collecting assembly, a filtering and recycling assembly is arranged in the connecting box, and a driving assembly is arranged on the connecting box. The soldering flux recovery device has the advantages that the recovery self-cleaning assembly can condense and recover soldering flux steam and then scrape off condensed soldering flux, so that the recovery effect of the recovery device is kept, the filtering recovery assembly can slow down the flowing speed of the soldering flux steam in the first recovery box and the second recovery box, and the recovery effect of the soldering flux steam is improved.

This invention discloses a method, device, and system for optimizing maintenance decisions in energy storage systems based on reinforcement learning-based multi-component lifetime collaborative modeling. The method constructs a collaborative lifetime decay model for key power devices (including IGBTs and DC bus capacitors) in the energy storage converter, collects operational data in real time, and establishes a multi-state fusion method for characterizing operational health. Furthermore, it utilizes reinforcement learning algorithms to optimize maintenance strategies. By jointly modeling the lifetime recovery effect, cost, failure risk, and system stability of different maintenance behaviors, a multi-objective reward function is constructed to achieve adaptive optimization of maintenance decisions. This invention can automatically determine the timing of overhaul or preventative maintenance based on the equipment's operating status and aging condition, eliminating the need for fixed-cycle manual maintenance, effectively reducing failure rates and maintenance costs. This invention is applicable to intelligent operation and maintenance and state management scenarios for energy storage converters.

This application relates to the field of power system protection technology, specifically to a power system fault self-healing method, device, and system based on the Internet of Things (IoT). The method includes: calculating the difference between the subgrid net load and the active power of the energy storage station to quantify the degree of supply-demand matching; calculating the correlation coefficient between subgrid voltage fluctuations and active power fluctuations of power resources to determine the degree of voltage coordination; calculating the cross-correlation between subgrid voltage deviations and reactive power of power resources to determine the reactive power regulation coefficient; and weighted fusion to obtain a closeness score; constructing an association weight by combining the closeness score and the electrical distance between the subgrid and the power resources; and solving the scheduling priority based on the association weight to control the energy storage station to supply power to the subgrid to achieve fault self-healing. This application solves the problem of poor recovery effect caused by the lack of global coordination in local self-healing decisions, improving the efficiency of power system fault recovery and the stability of power system operation.

The invention discloses a method for assisting coordinated recovery of a multi-voltage-class power distribution network. The method comprises the following steps: step 1, constructing a multi-port SOP topology feasible set and initializing parameters; step 2, fault detection and power failure area division; step 3, switching a multi-port SOP control mode and formulating a collaborative strategy; 4, establishing a recovery optimization model considering the uncertainty of the source load; 5, solving a recovery strategy based on convex difference planning; step 6, executing a recovery strategy and monitoring a system state in real time; and step 7, evaluating a recovery effect and updating the emergency scheme set. According to the method for assisting the coordinated recovery of the multi-voltage-class power distribution network, by virtue of the multi-voltage-class adaptation capability and the flexible power regulation characteristic, the voltage support requirement after a fault is quickly responded, and the problems of multi-voltage-class regulation disjunction, line overload and the like in a traditional recovery scheme are effectively solved; and reliable guarantee is provided for safe, efficient and economic recovery of the multi-voltage-class power distribution network in a high-proportion new energy and novel load access scene.

The application provides a power distribution network power supply service recovery planning method and device for extreme weather and related products, and relates to the technical field of power distribution networks. The method pre-establishes a flexible microgrid topology based on branch interruption scenarios, optimizes the allocation of mobile repair power supply vehicles, and configures node black start capability; when an extended extreme event occurs, the microgrid topology is reconstructed, the network topology and node power-on state are adjusted; the reinforcement scenario intelligent fuzzy set and the wind power output fuzzy set are used to represent two types of uncertainties, namely branch random interruption and wind power output fluctuation; a distributed robust optimization model is established by combining distributed system operation constraints and long-time energy storage operation constraints; the column and constraint generation algorithm with parallel alternating optimization method is used to solve the model; finally, the power distribution network recovery service performance evaluation coefficient is calculated to quantitatively evaluate the recovery effect. The application can effectively cope with multiple uncertainties under extreme weather, optimize the recovery resource scheduling, and improve the robustness and economy of the power distribution network power supply recovery.

The invention relates to the technical field of power system protection, in particular to a power system fault self-recovery method, device and system based on the Internet of Things. The method comprises the steps that the difference between the net load of a subnet and the active power of an energy storage station is calculated to quantify the supply and demand matching degree; calculating a correlation coefficient of subgrid voltage fluctuation and power resource active power fluctuation so as to determine a voltage cooperation degree, calculating a cross correlation between subgrid voltage deviation and power resource reactive power so as to determine a reactive power adjustment coefficient, and carrying out weighted fusion to obtain a closeness degree score; constructing an association weight by integrating the closeness degree score and the electrical distance between the subnet and the power resource; and solving the scheduling priority based on the association weight, and controlling the energy storage station to supply power to the subnet so as to realize fault self-healing. According to the method, the problem of poor recovery effect caused by the lack of global coordination of the local self-healing decision is solved, and the power system fault recovery efficiency and the power system operation stability are improved.

The invention relates to a transmission and distribution cooperative load recovery method and device considering new energy uncertainty, and the method comprises the steps: building a load recovery model of a power transmission network and a load recovery model of a power distribution network by taking the minimization of the load reduction cost, the power generation cost and the wind curtailment amount of the power transmission network as well as the minimization of the load reduction cost, the light curtailment amount and the line active loss of the power distribution network as targets; then modeling new energy output at two sides of the power transmission and distribution network by adopting fuzzy chance constraint, and constructing a transmission and distribution cooperative load recovery model considering uncertainty; and finally, based on a Peaeman Rachford split regularization adaptive alternating direction multiplier method, the provided model is decomposed into power transmission and distribution network sub-optimization models for distributed solution. The recovery method and the solution algorithm have better recovery effect and solution efficiency, and can provide reference for modeling and solution of the load recovery problem of the large-scale new energy power system.

The invention relates to the technical field of device recovery optimization, in particular to a rapid reverse recovery method and system based on a SiC super junction, and the method comprises the steps: carrying out the frequency statistics of a working voltage set, obtaining a voltage unit duration set, carrying out the super junction doping of a silicon carbide wafer based on a super junction parameter set, and obtaining a super junction device. The method comprises the following steps of: performing reverse recovery duration test on the super junction device by using a working voltage and recovery duration test device to obtain test recovery duration, summarizing the test recovery duration to obtain a test recovery duration set, calculating recovery effect values according to a voltage unit duration set and the test recovery duration set, summarizing the recovery effect values to obtain a recovery effect value set, and outputting the recovery effect value set. And obtaining an optimal super junction parameter set based on the recovery effect value set. According to the invention, the reverse recovery capability of the device in different environments can be improved, and the switching loss of the device in high-frequency and high-voltage application is reduced.

The application relates to the technical field of ecological environment protection of electric power engineering, and discloses a carbon storage disturbance loss repair regulation method during power transmission and transformation engineering construction period, which establishes a carbon storage space-time evolution curve and anchors a recovery datum by analyzing construction procedures; all carbon storage steps and sudden drop nodes are identified and the total carbon loss is quantified; ecological restoration measures suitable for site conditions are adapted and a disturbance-repair space-time coupling model is constructed; the repair intervention time is inversely calculated with the constraints of sufficient coverage of carbon loss and recovery to the datum before disturbance, prepositioned or instant repair is implemented; the carbon storage curve is regenerated and the stage recovery effect is checked, and if the effect is not up to the standard, the repair scheme is optimized; all drop nodes in the whole construction period are iteratively regulated until the carbon storage in each stage is recovered to the level before disturbance; the application realizes accurate control and whole-cycle zero-carbon ecological influence of carbon storage during the power transmission and transformation engineering construction period, and solves the technical defects of traditional methods that only smooth mutations and have stage carbon loss.

The invention discloses a two-stage AGC (Automatic Gain Control) scheduling method considering mode self-adaptive switching, which belongs to the field of electric power, and comprises the following steps of: firstly, constructing a basic framework of two-stage scheduling according to advanced and real-time scheduling characteristics, further formulating three operation modes by quantifying resource adjustment capability, and realizing self-adaptive switching among the modes. Secondly, constructing a lead-real-time two-stage scheduling model: in a lead stage, introducing a variable target optimization method according to a mode judgment result so as to pre-determine the output level of part of resources; in the real-time stage, the dynamic task coefficient is considered, an optimization model is constructed with the cost minimization as the target, and scheduling of the remaining resources is completed. And finally, constructing a two-stage scheduling frequency response model, and verifying that the proposed strategy can effectively improve the frequency recovery effect and the assessment quality of the regional power grid through simulation analysis, and maintaining a relatively good state of charge of the energy storage power station.

The invention provides a capacity recovery method of a flow battery. The capacity recovery method comprises the following steps: carrying out first mixing on a positive electrode electrolyte and a negative electrode electrolyte in the capacity-attenuated flow battery to obtain a mixed electrolyte; dividing the mixed electrolyte into a first mixed electrolyte and a second mixed electrolyte, filling the first mixed electrolyte into a positive electrode liquid storage tank, and filling the second mixed electrolyte into a negative electrode liquid storage tank to obtain a first flow battery; carrying out first charging on the first flow battery, then adding a reducing agent into the first mixed electrolyte to carry out second mixing, and then carrying out second charging on the electrolyte to obtain a second flow battery; interchanging the positions of the positive electrode and the negative electrode in the second flow battery, and then carrying out charge-discharge circulation; and after the charge-discharge cycle is finished, restoring the positive electrode and the negative electrode to the original positions to obtain the flow battery with the restored capacity. The method provided by the invention has an excellent capacity recovery effect.