5 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.