Abstract: An online voltage control method for coordinating multi-type reactive power resources is provided. First, a linearized power flow equation of branch reactive power is established, and an online voltage control model of multi-type reactive power resources including an objective function and constraint conditions is constructed. The constraint conditions includes generator reactive power constraints, reactive power compensator constraints, transformer tap position constraints, a nodal reactive power balance constraint, and slack contained nodal voltage constraints. Then, an optimization result of voltage control is obtained by solving the model.

Abstract: The present invention relates to a method of assessing dynamic flexibility for a virtual power plant, which belongs to the technical field of operating and controlling a power system. The method equals a virtual power plant to an equivalent energy storage device and an equivalent generator and decouples a network constraint condition between the two types of devices through a Robust optimization method. Subsequently, by using a two-stage Robust optimization algorithm, parameters of the equivalent energy storage device and the equivalent generator are calculated and finally accurate depiction is realized on adjusting ability of a distributed resource, so as to provide a scientific decision basis for the virtual power plant to participate in grid control, such that it has a great value in an actual application.

Abstract: Disclosed are an organic slurry for neodymium iron boron screen printing and a preparation method. The organic slurry includes a rare earth powder, an organic solvent, a resin, a dispersant, and/or a leveling agent, weight percentages of which are as follows: rare earth powder 50%-90%; organic solvent 8%-50%; resin 0.4%-6%; dispersant 0%-5%; and leveling agent 0%-3%. The preparation method includes: sequentially adding the weighed organic solvent, resin, dispersant, and/or leveling agent into a mixer, stirring at a constant temperature, and then cooling to room temperature to obtain an organic carrier; adding the organic carrier and the weighed rare earth powder into a vacuum high-speed disperser, and dispersing at a high speed to obtain a crude organic slurry; and transferring the crude organic slurry to a gap adjustable three-roll grinder, and grinding to obtain a fine organic slurry.

Abstract: Disclosed are an organic slurry with a gradient volatilization rate and a preparation method. The organic slurry includes a rare earth powder, an organic solvent, a resin, a dispersant, and/or an anti-settling agent, and/or a synergist, weight percentages of which are as follows: rare earth powder 50%-90%; organic solvent 8%-50%; resin 0.4%-6%; dispersant 0%-5%; anti-settling agent 0%-3%; and synergist 0%-3%. The preparation method includes: weighing the rare earth powder, organic solvent, resin, dispersant, and/or anti-settling agent, and/or synergist by weight percentage; sequentially adding the weighed ingredients into a mixer, stirring at a constant temperature, and then cooling to room temperature to obtain an organic carrier; adding the organic carrier and the weighed rare earth powder into a vacuum high-speed disperser to obtain a crude organic slurry; and transferring the crude organic slurry to a gap adjustable three-roll grinder for grinding to obtain a fine organic slurry.

Abstract: The present disclosure provides a method for optimizing transformation of automation equipment in a power distribution network based on reliability, including determining installation states of respective components in the power distribution network and operation criterions for fault isolation, load transfer and fault recovery after a fault occurred in a feeder segment; determining a target function which is a target function for minimizing a total transformation cost of the power distribution network; determining constraint conditions including reliability constraints; establishing an optimization model for evaluating the reliability of the power distribution network based on the reliability constraints in accordance with the target function and the constraints; and solving the established optimization model for evaluating the reliability of the power distribution network based on the reliability constraints to obtain optimal solutions as optimization results of the automation transformation state of the cir

Abstract: The disclosure provides a method, an apparatus, and a storage medium for controlling heating system. The method includes: establishing an objective function and constraints for estimating system parameters of the heating system, in which the heating system includes nodes, pipelines and equivalent branches, the equivalent branch is configured to represent a heating resource or a heating load in the heating system, the system parameters include a resistance coefficient of each of the pipelines and equivalent branches, and a heat dissipation coefficient of each of the pipelines; solving the objective function based on the constraints to obtain the system parameters; modeling the heating system based on the obtained system parameters to obtain control parameters of the heating system; and controlling the heating system based on the control parameters.

Abstract: A transient stability assessment method for an electric power system is disclosed. Transient stability tags and steady-state data of the electric power system before a failure occurs are collected from transient stability simulation data. Data sets under different predetermined failures are obtained based on a statistical result of the transient stability tags and a maximum-minimum method. A similarity evaluation index between different predetermined failures is constructed based on a Jaccard distance and a Hausdorff distance. Different predetermined failures are clustered based on a clustering algorithm. A parameters-shared siamese neural network is trained for different predetermined failures in each cluster to obtain a multi-task siamese neural network for the transient stability assessment.

Abstract: A method includes performing pre-treating, comprising fire-roasting or wet-washing, on the processed aluminum scraps of aeronautical aluminum alloy. The method further includes performing pressing formation on the pre-treated processed aluminum scraps of aeronautical aluminum alloy to form block-shaped aluminum scraps. The method further includes performing oxygen-controlled smelting on the block-shaped aluminum scraps in a smelting furnace to form aluminum alloy melt. The method further includes performing casting on the aluminum alloy melt to obtain an aluminum alloy product of meeting component requirements of aeronautical aluminum alloy.

Abstract: A nail gun includes: a housing; a cylinder assembly at least partially disposed in the housing; a magazine assembly for storing nails; and a firing assembly used for striking a nail and at least partially disposed in the cylinder assembly. The cylinder assembly includes a first cylinder and a second cylinder. The first cylinder includes a first cylinder and at least part of the second cylinder is disposed in the first cylinder cavity. The nail gun further includes a first piston, disposed at least in part in the first cylinder cavity, capable of reciprocating along the direction of the first axis in the first cylinder cavity. The first piston is configured to form an air intake passage with part of the outer wall of the second cylinder, and a gas is capable of passing through the air intake passage and entering the first cylinder cavity.

Abstract: The present disclosure provides an equivalent aggregation method and an apparatus for an electro-thermal coupled virtual power plant. The method includes: obtaining an equivalence model in a heating section of the electro-thermal coupled virtual power plant by training a support vector machine; establishing a computing model for equivalent aggregation of the electro-thermal coupled virtual power plant; and realizing the equivalent aggregation of the electro-thermal coupled virtual power plant by solving the computing model for the equivalent aggregation of the electro-thermal coupled virtual power plant.

Abstract: The disclosure provides power distribution network reliability index calculation method based on mixed integer linear programming. The method includes: establishing a model for optimizing reliability indexes of a power distribution network based on a mixed integer linear programming model, wherein the model comprises an objective function and constraint conditions, the objective function is for minimizing a system average interruption duration index (SAIDI); solving the model based on the objective function and the constraint conditions to obtain reliability indexes of the power distribution network; and controlling operation of the power distribution network based on the reliability indexes.

Abstract: The present disclosure provides a stability criterion for time-delay of cyber-physical power systems under distributed control, which relates to a field of cyber-physical power systems technologies.

Abstract: Provided is a method for a dynamic state estimation of a natural gas network considering dynamic characteristics of natural gas pipelines. The method can obtain a result of the dynamic state estimation of the natural gas network by establishing an objective function of the dynamic state estimation of the natural gas network, a state quantity constraint of a compressor, a state quantity constraint of the natural gas pipeline and a topological constraint of the natural gas network, and using a Lagrange method or an interior point method to solve a state estimation model of the natural gas network. The method takes the topological constraint of the natural gas network into consideration, and employs a pipeline pressure constraint in a frequency domain to implement linearization of the pipeline pressure constraint, thereby obtain a real-time, reliable, consistent and complete dynamic operating state of the natural gas network.

Abstract: A method for quantifying and assessing a scheduling risk considering source load fluctuation and rescheduling, and an apparatus for quantifying and assessing a scheduling risk considering source load fluctuation and rescheduling are provided. The method includes establishing a scene set considering a new energy disturbance; establishing and solving a rescheduling optimization model considering the new energy disturbance in each scene based on a preset scheduling plan according to the scene set, so as to obtain a solving result of the rescheduling optimization model; and calculating a risk quantifying and assessing result corresponding to the preset scheduling plan according to the solving result of the rescheduling optimization model.

Abstract: The present disclosure provides a method for planning a distribution network with reliability constraints based on a feeder corridor, including determining installation states of respective elements in the distribution network; determining an objective function, the objective function being an objective function of minimizing a total investment cost of the distribution network; obtaining fault-isolation-and-load-transfer time and fault recovery time in a case where the feeder segment of each feeder line that is contained in each feeder corridor fails; determining constraint conditions including reliability constraints; building a distribution network planning model according to the objective function and the constraints; and solving the distribution network planning model built to obtain optimal solutions as planning states and reliability indexes to plan the distribution network.

Abstract: A reactive power-voltage control method for integrated transmission and distribution networks is provided. The reactive power-voltage control method includes: establishing a reactive power-voltage control model for a power system consisting of a transmission network and a plurality of distribution networks; performing a second order cone relaxation on a non-convex constraint of the plurality of distribution network constraints to obtain the convex-relaxed reactive power-voltage control model; solving the convex-relaxed reactive power-voltage control model to acquire control variables of the transmission network and control variables of each distribution network; and controlling the transmission network based on the control variables of the transmission network and controlling each distribution network based on the control variables of the distribution network, so as to realize coordinated control of the power system.

Abstract: The present invention relates to the technical field of medicine and relates to an instant release pharmaceutical preparation of an anticoagulant and a preparation method therefor. The instant release pharmaceutical preparation of an anticoagulant comprises a vicagrel compound or a pharmaceutically acceptable form thereof, the preparation is a tablet or a capsule, the vicagrel or the pharmaceutically acceptable form thereof is provided at a suitable particle size, and the D90 thereof <50 ?m. With regard to the drug-containing particles obtained by the present invention, a pharmaceutical preparation formed therefrom exhibits rapid release characteristics in an in vitro dissolution test and exhibits considerable advantages in pharmacokinetics in vivo, showing a greater degree (AUC) and rate (Cmax) of drug absorption.

Abstract: A fully-distributed reactive voltage control method, includes: establishing a power grid reactive voltage optimization model of a power grid; parting the power grid reactive voltage optimization model into a plurality of area reactive voltage optimization models of a plurality of areas of the power grid; converting a power flow equation constraint in each of the plurality of area reactive voltage optimization models to a linear regression model; solving the linear regression model by using a robust recursive regression algorithm to obtain a solution result of the linear regression model; solving each of the plurality of area reactive voltage optimization models by using the solution result of the linear regression model, a gradient projection algorithm, and an alternating direction multiplier algorithm, so as to realize a reactive voltage optimization control of each of the plurality of areas.

Abstract: The disclosure relates to a two-side stochastic dispatching method for a power grid. By analyzing historical data of wind power, the Gaussian mixture distribution is fitted by software. For certain power system parameters, a two-side chance-constrained stochastic dispatching model is established. The hyperbolic tangent function is used to analyze and approximate cumulative distribution functions of random variables in the reserve demand constraint and the power flow constraint, to convert the two-side chance constraint into a deterministic constraint. The disclosure can have the advantage of using the hyperbolic tangent function to convert the two-side chance constraint containing risk levels and random variables into the solvable deterministic convex constraint, effectively improving the solution efficiency of the model, and providing decision makers with a more reasonable dispatching basis.

Abstract: A power grid reactive voltage control model training method. The method comprises: establishing a power grid simulation model; establishing a reactive voltage optimization model, according to a power grid reactive voltage control target; building interactive training environment based on Adversarial Markov Decision Process, in combination with the power grid simulation model and the reactive voltage optimization model; training the power grid reactive voltage control model through a joint adversarial training algorithm; and transferring the trained power grid reactive voltage control model to an online system. The power grid reactive voltage control model trained by using the method according to the present disclosure has transferability as compared with the traditional method, and may be directly used for online power grid reactive voltage control.