908 results about "Equivalent model" patented technology

The invention relates to the technical field of data processing, and discloses a load demand prediction method and system for a distributed new energy power generation system, and the method comprises the steps: obtaining historical data corresponding to power generation equipment and a load cluster in the distributed new energy power generation system, extracting feature parameters from the historical data, and carrying out the clustering analysis, dividing the power generation equipment and the load cluster into different subsets; processing the historical data corresponding to the power generation subsets and the load subsets to obtain a power generation output curve and a power utilization load curve; by analyzing the relevance between historical power generation and consumption data, obtaining a relevance index so as to fuse a power generation output curve and a power consumption load curve into a power generation load fusion model; and a parameter identification method is used to optimize the power abrupt change rate and the load change rate corresponding to the historical power generation data and the historical power utilization data, so that the power generation load fusion model is integrated into a generalized load model structure, a fusion equivalent model is obtained, and the load demand of the distributed new energy power generation system is accurately predicted.

The invention discloses a servo motor dynamic overload detection and protection method based on a heat accumulation model, which relates to the technical field of servo system fault protection application, and comprises the steps of constructing a heat accumulation equivalent model, dynamically detecting an overload state, executing a heat dissipation recovery strategy, implementing a multi-stage protection mechanism, self-adaptive environment compensation and a historical data learning function. Through discretization processing of overload curve data and a nonlinear acceleration calculation strategy, the problems of protection lag and false triggering caused by traditional single-parameter detection are avoided, it is ensured that the motor can respond in time in light load, heavy load and load fluctuation scenes, the burn-out risk of the motor is reduced, and through integration of an environment temperature sensor and a heat dissipation condition evaluation unit, the reliability of the motor is improved. The heat accumulation coefficient and the heat dissipation attenuation parameter are dynamically adjusted, the problem of model deviation caused by environment interference is solved, when heat dissipation deterioration and temperature feedback abnormity are detected, the heat dissipation recovery period is automatically prolonged, calculation logic is corrected, and the continuous operation reliability of the system is improved.

The invention discloses a photovoltaic inverter equivalence simplification method based on a virtual synchronous machine, and relates to the technical field of inverters, and the method comprises the following steps: Step 1, providing an inverter coherence criterion based on virtual synchronous generator control according to a coherence discrimination method of a synchronous generator in an AC power grid; step 2, carrying out grouping operation on the photovoltaic inverters; and Step 3, according to a coherent equivalence theory in a large power grid, providing a parameter aggregation method of the photovoltaic inverters, and aggregating the photovoltaic inverters in the same group into an equivalent inverter. According to the photovoltaic cluster inverter based on the virtual synchronous generator control strategy, in the process of referring to the large power grid coherence equivalence theory, the judgment criterion of the coherence of the photovoltaic inverter is clarified, and then the equivalent modeling method of the inverter in the electromagnetic transient analysis process is researched. The method solves the problem that the existing photovoltaic system modeling has no corresponding solution measures on the problems of grouping index selection, system parameter aggregation, equivalent model establishment and the like, and the equivalent precision is not enough.

The invention discloses an intelligent equivalent modeling and simulation optimization method based on machine learning and multi-physics field coupling, and the method employs a 2.5 D chip stress simulation method combining a customized material with equivalent parameters output by a Python script, and can remarkably reduce the calculation time and memory resource consumption on the premise of guaranteeing high precision. Based on DNN trained by large-scale historical data, an equivalent model can be dynamically adjusted in the simulation process, and more optimized stress analysis is achieved; according to the method, the research and development period can be greatly shortened, the design reliability is improved, and the method has very high practical value and commercial value; through construction of an equivalent model and application of an automatic script, a designer can more efficiently carry out stress analysis and optimization of the 2.5 D chip, and a brand new solution is provided for design of an integrated circuit.

The invention discloses a metro shield tunnel crack width refined numerical simulation method under surface loading, and the method comprises the following specific steps: describing the overall stress deformation characteristics of a soil body-shield tunnel structure based on a stratum-structure method, and simulating a macroscopic equivalent model by adopting a continuous medium model, and the equivalent stiffness reduction effect caused by the influence of longitudinal seams and circular seams is fully considered, the most unfavorable section position along the shield tunnel is determined, so that the key section is replaced with a refined model considering local hand hole weakening, multi-contact and built-in steel bars, and the shield tunnel crack evolution characteristics are described by adopting a total strain crack model. And obtaining the millimeter-scale crack width of the target tunnel structure based on a load-structure method. According to the analysis method, the millimeter-scale crack width of the shield tunnel under the action of ground surface loading can be accurately obtained, the structure safety state can be rapidly evaluated in combination with current specifications, and an important basis is provided for operation and maintenance of the subway shield tunnel.

The invention discloses a power coupling-considered capacity ratio estimation method for a network-constructing / network-following multi-machine hybrid system, and the method comprises the steps: building a GFL-GFM hybrid system model, combining VSG power coupling small signal modeling and a dynamic relative gain matrix (DRGA), and quantifying the coupling strength of active / reactive power to output voltage; the frequency domain impedance characteristic of the GFM converter is simplified, and an ideal voltage source series equivalent reactance equivalent model is constructed; deriving an analytical relationship between a generalized short-circuit ratio (gSCR) and a capacity ratio based on the model, and generating a ratio formula in combination with engineering boundary sub-scenes to form a ratio range suitable for multiple scenes; for coupling time-varying characteristics, a closed-loop mechanism of'mixed mode-coupling sensing-correction calculation-execution feedback 'is constructed, and the ratio is dynamically adjusted. According to the method, coupling quantization and multi-machine coordination control are deeply fused, the problem that the external characteristic model precision and the multi-working-condition adaptability are difficult to consider under complex environment coupling is effectively solved, and the engineering applicability of the hybrid fan system is enhanced.

The invention discloses a cooperative scheduling method for a zero-carbon park complementary energy storage system, and the method comprises the steps: enabling an electric energy quality index to be explicitly incorporated into an optimization target through multi-source resource dynamic modeling and scene prediction, and building a strong coupling relation between a physical constraint and a scheduling decision; the hierarchical execution mechanism gives consideration to global optimization and local quick response, realizes undisturbed switching under abnormal working conditions, forms a prediction-optimization-execution-feedback closed-loop control system, and can accurately describe physical connection and electrical characteristics of a park power grid by establishing a power distribution network equivalent model and acquiring topological parameters, thereby realizing the optimal control of the park power grid. And basic network data is provided for subsequent optimization. By determining the controllable resource set and completing topological mapping, the position and the regulation and control range of each device in the power grid can be determined, and mistaken sending or conflict of instructions can be avoided. An apparent power upper limit constraint and SOC dynamic model is established, overload operation of equipment can be avoided, the energy storage charging and discharging capacity can be accurately represented, and the performability of a scheduling scheme is ensured.

The invention discloses an aggregation equivalent modeling method for a new energy base containing multiple control strategies. The method comprises the following steps: constructing a relation equivalent model satisfied by the terminal voltage of a new energy field station of the new energy base containing multiple control strategies and the voltage of a collection bus of the new energy base; constructing a positive sequence network equivalent model and a negative sequence network equivalent model of the new energy station; performing aggregation equivalence of the new energy base according to the relation equivalence model and the positive sequence network equivalence model to obtain a positive sequence network aggregation equivalence model; performing series-parallel aggregation equivalent calculation according to the topological relation of the new energy base and the negative sequence network equivalent model to obtain a negative sequence network aggregation equivalent model; and according to the positive sequence network aggregation equivalence model and the negative sequence network aggregation equivalence model, a new energy base aggregation equivalence model is constructed, and the new energy base aggregation equivalence model is used for performing short circuit calculation on the power system containing the new energy base.

The invention relates to a multi-target optimization method for pressure and flow characteristics of a CDC electromagnetic pilot overflow valve, and belongs to the technical field of automobile suspensions. The method comprises the following steps: (1) establishing a three-dimensional equivalent model of the CDC electromagnetic pilot overflow valve; (2) building a dynamic model according to the built three-dimensional equivalent model and a working principle; (3) building a hydraulic simulation model according to the kinetic model; (4) forming a training sample to train the neural network model; (5) initializing ant colony algorithm parameters; (6) starting ant colony algorithm iteration; (7) updating pheromones; (8) judging whether a termination condition is met or not; (9) outputting an optimal parameter combination and an optimized pressure-flow characteristic curve; and (10) determining the importance degree of the influence factors through a Pareto method. The ant colony algorithm and the annealing algorithm are combined, the local optimum problem is effectively avoided, and global convergence is accelerated.

The invention provides a basin complex reservoir group flood control optimization scheduling efficient solving method, which comprises the steps of processing reservoir inflow abnormal fluctuation based on a VMD-Enhanced CNN model, and obtaining a de-noised inflow process; constructing a reservoir group flood control scheduling model, based on an equivalent projection theory decomposition system, selecting a reservoir outlet flow as a coordination variable, and establishing a subsystem equivalent model; a Ray distributed computing framework is adopted to process the subsystem equivalent model in parallel, an EP-DOA-CUDA algorithm is executed for solving, and a global optimal coordination variable of the system is obtained; and by taking the global optimal coordination variable as a boundary condition, optimizing a lower-layer subsystem based on an IVYA optimization algorithm to obtain an optimal scheduling scheme of the reservoir group. According to the method, the problems of abnormal fluctuation of the reservoir flow, high model complexity, low calculation efficiency and the like are solved, and the flood control scheduling precision and timeliness are improved.

The invention discloses a simulation method of a full-system coupled railway traction power supply system, which comprises the following steps: taking a traction power supply system and a train group as integrated simulation objects, and respectively constructing traction power supply network models including equivalent models of traction transformer, traction network, AT station and public power grid parameters; a multi-train operation simulator is constructed, and the multi-train operation simulator comprises various parameters such as trains, lines, signal systems, operation organizations and the like. Traversing all on-line trains through a multi-train operation simulator, substituting the on-line trains into a traction power supply network model, and dynamically calculating operation parameters and traction loads of a train group, including calculating locomotive initial current according to train initialization voltage, solving a traction power supply network node voltage equation and updating locomotive terminal voltage; and correcting the traction and braking characteristics of the train based on the updated locomotive terminal voltage. The method overcomes the defects of a traditional calculation method using a traction power supply system as an isolated network, reveals the dynamic state of train operation and the distribution characteristics of the traction network, and finally can obtain various parameters of each train.

The invention discloses a structure optimization method and device for a collision working condition, a vehicle body part, a vehicle, equipment and a medium, and the method comprises the steps: determining a continuously changing displacement matrix and stiffness matrix of each finite element on an equivalent model in a collision simulation process, and carrying out the optimization of the collision condition according to the displacement matrix and stiffness matrix of the finite element at a target moment; and updating the load of the target load step applied to the finite element to update the collision simulation on the equivalent model, and based on the equivalent model after collision simulation, carrying out topological optimization on the model structure. According to the method, the stiffness matrix change of the finite element under the action of different load steps is analyzed, different stiffness states under the different load steps are determined, and on the basis of updating of the target load step, each load step can truly show the real-time state of collision, so that the nonlinear process in the collision process is restored with high precision, and the collision accuracy is improved. And the effect and accuracy of structure optimization are enhanced, and lightweight design is achieved while the collision performance of vehicle body parts is guaranteed.

The invention provides a three-phase transformer parameter estimation method and device, computer equipment and a medium, and belongs to the field of electrical control, and the method comprises the steps: obtaining synchronous phasor data of a target three-phase transformer; an improved LASSO algorithm is constructed; preprocessing the data through an improved LASSO algorithm; constructing a positive sequence component equivalent model of the target three-phase transformer; based on the positive sequence component equivalent model, determining a correlation among a plurality of circuit parameters of the target three-phase transformer, and determining the plurality of circuit parameters; and estimating structure parameters and magnetic circuit parameters of the target three-phase transformer based on the circuit parameters to obtain corresponding estimation results. Thus, complex specific experiments do not need to be carried out on the target three-phase transformer, on one hand, loss is low, the application range is wide, the parameters of the target three-phase transformer can be comprehensively estimated, on the other hand, better adaptability is achieved for complex conditions such as nonlinear characteristics of the transformer, and parameter evaluation is more accurate.

The invention relates to the technical field of stability analysis of a new energy grid-connected system, in particular to a new energy real-time short-circuit ratio margin evaluation method, system equipment and a medium, and the method comprises the steps: building an equivalent model based on power grid parameters, calculating equivalent capacity, and carrying out online correction in combination with multi-source data; calculating a new energy grid-connected short-circuit ratio according to the equivalent capacity ratio, calculating a short-circuit ratio index based on a constraint equation, refreshing a real-time index through measurement data of local voltage and current, and outputting a real-time short-circuit ratio; calculating the short-circuit ratio margin of the new energy station based on the short-circuit ratio difference value, quantitatively evaluating the stability, judging a stable state according to a positive value and a negative value of the margin, quantifying an instability risk level according to an absolute value of the margin, and generating a graded early warning signal and a control instruction; through dynamic fusion of multi-source data correction capacity, local measurement of millisecond-level refreshing indexes and margin positive and negative values, a control instruction is triggered, stable monitoring and active defense are realized, and the anti-disturbance capability and the safety level of a high-proportion new energy power grid are remarkably improved.

Disclosed in the present invention is a variable coefficient equivalent SISO model based stability analysis method for a grid-connected converter system, comprising the following steps: constructing a variable coefficient equivalent SISO model; obtaining a complex space vector open-loop transfer function on the basis of the variable coefficient equivalent SISO model; and obtaining Nyquist curves under different current loop parameters or phase-locked loop parameters on the basis of the complex space vector open-loop transfer function. If the Nyquist curves surround point (-1,0), the grid-connected converter system is stable; and if the Nyquist curves do not surround point (-1,0), the grid-connected converter system is unstable. The present invention performs small disturbance modeling on the grid-connected converter system, considers the influence of mutual coupling between the phase-locked loop and the inner current loop, and derives a variable coefficient SISO open-loop transfer function capable of characterizing an MIMO system. Compared with the technical solution in the prior art that actual working conditions are not considered, the method disclosed in the present invention can more accurately analyze the system stability of the system under variable working conditions and variable parameters.

The present invention belongs to the field of mechanical engineering, and particularly relates to an equivalent model of a knocking kinematic pair of a continuous elastic body and a modeling method thereof. An equivalent model is established for the knocking kinematic pair in a continuous elastic body mechanical structure or system, that is, the non-linear mapping relationship between the knocking pulse force and the knocking initial velocity. By assuming that the knocking force pulse is a half-cycle sine wave, and simultaneously using the Hertz contact model and the origin transfer function or impulse response function of the mechanical structure at the knocking contact point to express the contact mechanical properties of the knocking pair material pair and the impedance properties of the mechanical structure at the knocking part, the relationship between the output and input of the non-linear equivalent model, that is, the knocking pulse force and the knocking initial velocity, is derived. Through the method of the present invention, the problem of rapid prediction of the knocking force pulse of a continuous elastic body mechanical structure can be solved.

The invention discloses an energy storage resource scheduling optimization method and system based on digital twinning. The method comprises the following steps: step 1, constructing an energy storage resource scheduling optimization platform based on digital twinning; establishing a digital twinborn model for describing the operation state of the energy storage equipment in combination with the physical characteristics and historical data of the energy storage system; step 2, based on the constructed scheduling optimization platform, performing joint modeling on a wind power generation system, a photovoltaic system and an energy storage system, and establishing an equivalent model of a joint power generation system; 3, based on the established equivalent model of the combined power generation system, establishing a multi-objective optimization function and physical and operation constraint conditions of a scheduling algorithm, and constructing an energy storage system resource scheduling optimization problem; and step 4, based on the established scheduling optimization problem, performing problem solving and dynamic adjustment by using a differential evolution algorithm. The running state of the energy storage system is accurately reflected, and the real-time response capability is improved; the economy and the stability of the scheduling scheme are obviously improved; and the security and feasibility of the scheduling strategy are ensured.

The invention provides a new energy station grid-connected oscillation risk assessment method and device, and relates to the field of new energy grid-connected control. The method comprises the following steps: constructing a dynamic equivalent model based on new energy station operation parameters; based on the dynamic equivalent model, obtaining impedance spectrum feature domains in different control modes; calibrating an impedance spectrum feature domain based on a semi-physical simulation platform; inputting the calibrated impedance spectrum feature domain into a grid-connected oscillation risk assessment model, and outputting oscillation damping ratio predicted values of the new energy station in different control modes based on the grid-connected oscillation risk assessment model; and constructing a self-adaptive threshold, and evaluating the grid-connected oscillation risk of the new energy station based on the magnitude relationship between the oscillation damping ratio predicted value and the self-adaptive threshold in different control modes. The method solves the problems that when different control modes are switched or external operation conditions are changed, a prediction result of a traditional method is prone to distortion, and the real oscillation risk of the new energy station is difficult to reflect accurately.

The invention discloses a power distribution network equivalent modeling and model calling method considering distributed photovoltaic uncertainty. The method comprises the following steps: firstly, collecting a photovoltaic output historical prediction value and an actual value in a power distribution network area, and calculating a prediction error; clustering prediction errors according to prediction time and prediction values, and calculating probability density distribution of each clustering result; establishing an equivalent model of the power distribution network to determine parameters to be identified, and then collecting electrical measurement values of the power distribution network to identify the parameters of the equivalent model; and finally, calling the equivalent model to predict distributed photovoltaic output in the power distribution network.

The invention discloses a power grid multi-energy dynamic aggregation equivalence control method and system based on a knowledge graph, and relates to the technical field of power grid energy aggregation equivalence modeling, and the method comprises the following steps: obtaining power grid energy structure multi-source data, and constructing a power grid multi-class energy aggregation equivalence knowledge graph database; based on the electrical similarity between the knowledge graph database and the node residual voltage, quickly aggregating and dynamically regulating and controlling the multiple energy sources of the power grid, and constructing an aggregation equivalent model of the multiple energy sources of the power grid; performing power flow simulation on the aggregation equivalence model, obtaining evaluation data of the aggregation equivalence model, and controlling the structure and parameters of the aggregation equivalence model according to the evaluation data; according to the invention, flexible equivalence of the multiple types of energy sources of the power grid is carried out through a knowledge graph-based rapid real-time aggregation equivalence method considering the multiple types of energy sources of the power grid, so that the problem that centralized and distributed new energy sources and shearable load energy structures cannot be automatically and flexibly aggregated and equivalence to power grids of any voltage class rapidly and in real time is solved; and the method is not suitable for rapid real-time aggregation equivalence of multiple types of energy sources.

The invention provides a fuzzy mutual simulation formalized verification and modeling method based on a theorem prover, and particularly relates to a fuzzy mutual simulation equivalent model based on an uncertain fuzzy migration system by utilizing a functional language and the theorem prover, so that whether a fuzzy mutual simulation relationship exists between fuzzy systems or not is quickly acquired. Furthermore, correctness can be strictly guaranteed, and behavior equivalence of different fuzzy migration systems is effectively guaranteed.

The invention relates to the technical field of data processing, in particular to a power grid probability equivalent model construction method and device based on multi-scene clustering, and the method comprises the steps: obtaining a power grid multi-dimensional data source, executing a spatial-temporal feature decoupling operation, and outputting a spatial-temporal feature tensor with a weight identifier; executing graph-driven enhanced clustering operation based on the tensor, constructing a topological risk graph structure, and generating a safety margin offset thermodynamic diagram through a deep reinforcement learning decision feature compression strategy; executing a double-algorithm optimization traceability operation, adopting a genetic algorithm to encode a feature cutting operation, taking a margin deviation value as a fitness function, optimizing a time window parameter by a butterfly algorithm, and outputting a feature operation traceability matrix; and feeding back the matrix to the enhanced clustering operation to update the decision rule. According to the method, the problem of dynamic security risk quantification distortion caused by scene clustering dimension reduction is solved under the constraint of limited computing resources through risk perception feature processing, enhanced resource allocation and a closed-loop architecture of double-algorithm traceability optimization.

The invention belongs to the technical field of new energy power systems, and discloses a net-building type converter parameter simulation analysis method, system, equipment and medium, and the method comprises the steps: building an equivalent transfer function and a damping torque model of a net-building type converter based on a damping torque theory, and defining a damping torque and a synchronous torque through the generation and conversion of a characteristic equation; establishing a converter voltage-current relational expression based on the dynamic equation of the grid-forming converter, and deducing a damping torque of the grid-forming converter containing a complete control loop through linearization processing of the relational expression; and simulating the damping characteristics of the network-forming converter containing the complete control loop, and evaluating the influence degree of the outer loop control parameters on the damping torque by analyzing the damping torque under different outer loop bandwidths. The invention provides the damping torque model for optimizing the network construction type outer ring control parameters, so that modeling of a complex feedback link in a damping torque equivalent model is avoided, and a brand new thought is provided for analyzing the outer ring control parameter optimization problem.

The invention relates to a lightning protection composite insulator insulation cooperation detection and structure optimization method based on digital twinning. The method comprises the following steps: obtaining a structure parameter, a real-time environment parameter and an operation electrical parameter of a lightning protection composite insulator to be detected; constructing a digital twinborn simulation field domain model; establishing a preliminary digital twinborn simulation platform; obtaining an updated preliminary digital twinborn simulation platform; establishing an insulation cooperation equivalent model to obtain an optimized design scheme; and carrying out real-time monitoring and early warning on the insulation cooperation condition of the lightning protection composite insulator according to the insulation cooperation equivalent model. According to the invention, the insulation state of the insulator and the lightning arrester can be monitored in real time, real-time tracking of the insulation performance is realized, and once the insulation performance is abnormal, early warning can be immediately given out to remind operation and maintenance personnel to take measures in time, so that equipment faults or safety accidents caused by insulation failure are effectively avoided; performance bottlenecks and potential problems of the equipment can be found in time, and targeted maintenance suggestions are provided for operation and maintenance personnel.

The invention relates to a modeling simulation method for predicting conducted interference and radiated interference of a PCB (Printed Circuit Board), which comprises the following steps of: establishing a conducted interference test system model and a trace equivalent model, extracting an excitation source signal, and establishing a parasitic parameter model; establishing a conducted interference model by combining the models; establishing a radiation interference field model, establishing a radiation interference path model based on the conducted interference model, and further establishing a field-path joint model as a radiation interference model; an excitation source is added into the radiation interference model for radiation interference simulation, a radiation interference simulation scheme of actual measurement or simulation excitation source and antenna receiving is adopted for a first frequency band not exceeding the specified frequency, and a radiation interference simulation scheme of simulation excitation source and probe receiving is adopted for a second frequency band exceeding the specified frequency. According to the method, electromagnetic interference coupling among complex traces of the PCB, high-frequency signals and a test environment is comprehensively considered, a simulation result is close to an actual measurement result, and good predictability is achieved.

The invention discloses an electromagnetic transient simulation method, device and equipment, a medium and a product, and relates to the field of electromagnetic transient simulation, in particular to a method which comprises the steps that a transformer time domain discrete model and a VSC single bridge arm equivalent circuit model are equivalent to a combined equivalent model of a transformer and a current converter based on a combined equivalent modeling method; performing discretization processing on the joint equivalent model by using a Dommel algorithm, determining a discretized equivalent circuit model, listing a node voltage equation, and determining a node admittance matrix; according to the node type, performing blocking processing on the node admittance matrix, and determining a blocked node admittance matrix; eliminating link nodes in the discretized equivalent circuit model according to the partitioned node admittance matrix, and determining an updated discretized equivalent circuit model; and performing electromagnetic transient simulation according to the updated discretized equivalent circuit model. According to the application, the precision and the calculation efficiency of the electromagnetic transient simulation can be greatly improved.

The invention discloses an electric shock prevention method and device for an electrified water body and a computer readable storage medium. The method comprises the following steps: acquiring water body parameters of an electrified water body; constructing a resistance network model of the electrified water body based on the water body parameters; solving the state variable of each basic unit in the resistance network model according to the Ohm's law and the current conservation principle to obtain the voltage of a node in each basic unit and the current flowing into each resistor; generating a potential distribution diagram of the electrified water body according to the voltage of each node in the resistance network model and the current flowing into each resistor; and performing risk assessment on the electrified water body according to the potential distribution diagram to obtain a safe distance in contact with the electrified water body. The technical problems that an existing equivalent model needs a large number of parameters and complex mathematical expressions to describe the characteristics of the water body, consumption of computing resources is large, real behaviors of the water body are difficult to accurately capture, and potential safety hazards are likely to be caused are solved.

The invention discloses a radial permanent magnet motor multi-objective optimization method and system considering end magnetic flux leakage, and the method comprises the steps: constructing a two-dimensional radial permanent magnet motor model based on a three-dimensional radial permanent magnet motor model, introducing a magnetic conductance coefficient in a main magnetic flux leakage region in the two-dimensional radial permanent magnet motor model, and constructing a two-dimensional equivalent model; determining an optimization target, a design parameter and a value range of the design parameter according to the obtained two-dimensional equivalent model; according to the method, the function of performing multi-objective optimization on the radial permanent magnet motor under the condition of considering the end magnetic flux leakage is realized, and the two-dimensional equivalent model is constructed by iteratively calculating the magnetic conductance coefficient through the radius of each air domain and the division number in the main magnetic flux leakage region, so that the calculation precision is guaranteed; and by adopting comprehensive sensitivity analysis to carry out hierarchical optimization on the design parameters, the problems that the precision of the agent model is reduced and an optimization algorithm is difficult to converge due to a large number of design variables can be solved, the calculation time is shortened, and the method is suitable for being widely popularized and used.

The invention discloses a flow resistance and heat transfer simulation analysis method for a thermal management refrigerant side integrated module, and relates to the technical field of computer simulation. The method mainly comprises the following steps of: dividing a computational domain model into a solid domain, a fluid domain comprising a plurality of single-phase flow channel sub-domains and a flow channel section which is in a gas-liquid two-phase state and exchanges latent heat along with phase change in combination with the need of an actual analysis working condition; performing polynomial fitting on various parameters by fixing the inlet pressure value of each single-phase flow channel sub-domain; loading the fitted physical property function to the corresponding runner sub-domain, and setting a constant material attribute for the solid domain runner plate; a conjugate heat transfer model is started on an interface of a fluid domain and a solid domain, and interface heat flux density conservation and temperature continuity simulation is carried out; setting boundary conditions; and executing conjugate heat transfer simulation calculation until convergence calculation is completed. According to the method, the simulation precision is improved through fusion of three core technologies of dynamic change physical property fitting, solid-liquid conjugate heat transfer coupling and two-phase flow latent heat equivalent modeling.

The present application relates to an equivalent modeling method and system suitable for the safe and stable operation of a new energy station, including: obtaining the original topological structure of the target new energy station, the information of each unit and the station collector line information; establishing the road matrix and impedance matrix of the station collector line; converting the original topological structure into a radial topological structure to obtain the equivalent impedance of the converter collector line of each unit; obtaining fault-related information when a fault occurs in the new energy station, and calculating the terminal voltage vector of each unit after the fault; dividing all units into X clusters; obtaining the voltage on the low-voltage side of the main transformer of the target new energy station, and performing equivalent calculations on the X clusters respectively to obtain the equivalent model of the detailed model of the target new energy station. The equivalent method of the present application can fit the dynamic characteristics of the detailed model of the new energy station when the station is in steady state, fault, and fault recovery, which is conducive to ensuring the safe and stable operation of the new energy station.