7 results about "Recovery effect" patented technology

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.

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 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 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 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.