19 results about "Recovery effect" patented technology

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 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 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.

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.

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 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.

The invention discloses a disaster recovery method and device based on digital twinborn deduction, a program product and a medium, relates to the technical field of disaster recovery, and provides the disaster recovery method based on the digital twinborn deduction in order to solve the problem that the guarantee capability of a current disaster recovery scheme for service continuity needs to be further improved. The execution process of the recovery plan on the target component is deduced through simulation of the digital twin sandbox, and serious consequences caused by execution of the recovery plan which is outdated or not matched with the current scene are avoided. In addition, according to the method, a plurality of recovery plans are set, so that disaster recovery switching requirements in different scenes can be met. Before disaster recovery switching is carried out, simulation deduction is carried out on execution results of different recovery plans through a digital twin sandbox, the simulation deduction results are quantized, the recovery plan with the optimal execution result is selected as the optimal recovery plan to carry out disaster recovery switching of a target component, and the best recovery effect is obtained.

The embodiment of the invention discloses a retired lithium battery recycling method and system, computer equipment and a storage medium. The health state, the capacity fading rate, the internal resistance and the cycling stability of the target retired lithium battery are detected through the screening module, and recovery or elimination is determined; if so, grading and pre-processing according to the recovery grade through a pre-processing module; performing multiplexing scene adaptation through a differentiation matching module to obtain a multiplexing scene matched with the target lithium battery; and a new battery capable of being reused in the reuse scene is obtained through recycling processing according to the personalized difference of the reuse scene through the regeneration module. According to the method, the method is different from an existing method that sorting is carried out only by means of rough information such as models and appearances of battery packs, the real health state and residual capacity of the internal battery cells are obtained, differential preprocessing is carried out, accurate screening and grading are carried out, the echelon utilization rate is increased, and the technical problem that the recovery effect of retired lithium batteries is poor is solved.

The invention relates to the technical field of building environment and industrial ventilation and purification equipment operation control, discloses an intelligent air cleaning, filtering and purification control system and method, and aims to solve the problems that the filtering energy consumption is high, and the cleaning opportunity and strength are difficult to match. The self-adaptive sampling based on the air steady-state index and the triggering rule with the filtering load indication quantity as the core are provided, and the triggering rule comprises emergency, accumulation, the minimum interval and the low-load time period; at least two candidate cleaning schemes are generated, and under the constraint that the minimum air supply and recovery target is met, the candidate cleaning scheme with the lowest predicted energy consumption is optimized to be executed; monitoring air supply and energy consumption in an execution period, and collecting when a termination condition is met; the evaluation period is based on the recovery effect and the unit cleaning energy consumption self-correction parameter. The system is composed of an acquisition and standardization module, a load judgment and trigger module, a scheme generation and preferential selection module, an execution monitoring module, an effect evaluation module and a self-correction module, and the overall energy consumption can be reduced while air supply is guaranteed.