609 results about "Equivalent model" patented technology

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 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 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 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.

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 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 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 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 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.

According to the method for regulating and controlling the stability amplitude through the ultrasonic power source, the output of the ultrasonic power source is dynamically adjusted through intelligent control and a feedback mechanism, the amplitude of the transducer is stable under different loads, and the machining precision and efficiency are improved. An equivalent model is constructed through a power supply output characteristic equation and a dynamic response relationship, voltage, current and mechanical information are monitored in real time by combining a high-precision sensor, expected power output is predicted by applying a neural network after deep preprocessing, a power error is calculated by using a PID algorithm, and power supply output is dynamically adjusted. According to the method, through continuous feedback and correction, it is ensured that the amplitude of the system is reasonable and stable under the complex working condition, the stability and applicability of the ultrasonic transducer system are remarkably enhanced, and the method is particularly suitable for ultrasonic machining equipment in the complex load environment.

An intelligent unmanned aerial vehicle pneumatic structure reduced-order analysis model comprises a pneumatic reduced-order model and a structure reduced-order model. The aerodynamic structure order reduction analysis process comprises the steps that an aerodynamic order reduction model and a structure order reduction model are initialized; under the given calculation working condition, the aerodynamic load acting on the intelligent unmanned aerial vehicle structure is obtained through calculation of the aerodynamic reduced-order model; transmitting the load on the pneumatic grid to the structural grid through a force interpolation algorithm; solving deformation response by the structure order reduction model under the action of aerodynamic load; the structural deformation is fed back to the pneumatic grid through displacement interpolation, and the pneumatic configuration is updated; and performing iterative calculation until a convergence criterion is met, finally obtaining a pneumatic structure analysis result in an equilibrium state, and outputting a pneumatic coefficient and structural deformation and stress. According to the method, the CFD / CSD model is replaced by the equivalent model, so that the calculation efficiency is remarkably improved on the premise of ensuring the calculation precision.

The invention discloses a modeling method and system for a vehicle network field circuit coupling model under a contact line short-circuit working condition, and relates to the technical field of modeling, and the method comprises the following steps: constructing a short-circuit arc equivalent model under the contact line short-circuit working condition based on an isolation switch equivalent model, one end of the short-circuit arc equivalent model is connected with a contact line in sliding connection with a pantograph in the chain type lumped tau-shaped network model through a switch element, the other end of the short-circuit arc equivalent model is connected with a steel rail in the chain type lumped tau-shaped network model, and a vehicle network circuit model under the contact line short-circuit working condition is obtained; and taking the short-circuit arc current at any short-circuit phase obtained through simulation of the vehicle network circuit model as a current excitation source of the three-dimensional model, and obtaining a vehicle network field model under the contact line short-circuit working condition. The rise rate, peak value and attenuation process of the short-circuit current can be accurately simulated by adding the short-circuit arc, the arc voltage drop is reflected, and the authenticity and practicability of simulation are remarkably improved.

The invention discloses an electromagnetic transducer modeling and dynamic distribution parameter confirmation method considering electro-magnetic-mechanical-acoustic coupling. The method comprises the following steps: constructing a dynamic multi-physical field distribution parameter model DPM of an electromagnetic transducer system; a PGA model optimization method based on a parallel genetic algorithm; the dynamic multi-physical field distribution parameter model DPM comprises the following steps: constructing an excitation loop equivalent model, wherein the excitation loop equivalent model comprises a plurality of excitation main loop units, a plurality of air gap magnetic flux leakage loop units and a plurality of permanent magnet loop units; and constructing a mechanical structure equivalent model, wherein the mechanical structure equivalent model comprises physical models such as a system radiation panel, a spring system and a rubber panel. According to the method, parameters of the DPM are optimized through the PGA algorithm, the performance efficiency of the electromagnetic transducer is improved, and a new method is provided for design of the electromagnetic transducer.

The invention provides a method and device for determining scattering parameters based on deep learning, a medium and a product, and the method comprises the following steps: obtaining to-be-processed scattering parameters obtained through the overall measurement of a to-be-tested device and a test fixture; the scattering parameters to be processed are input into a pre-trained parameter optimization model, a physical constraint framework is introduced when the parameter optimization model is trained to ensure that a prediction result conforms to physical laws such as causality, stability and passivity, and a physical constraint loss function and a frequency adaptive weighting strategy are adopted; obtaining an equivalent model which is output by the parameter optimization model and corresponds to the scattering parameter to be processed; and obtaining a target scattering parameter corresponding to the to-be-processed scattering parameter according to the equivalent model. According to the method, a physical constraint framework is introduced, so that the problem that a traditional 2xthru de-embedding method is in a high-frequency region (especially S11gt; s21), and physical rationality and stability of the result are ensured at the same time.

The embodiment of the invention provides an equivalent model design method and system for an unmanned aerial vehicle carrying mission load flight test, and the method comprises the steps: obtaining mission load demand parameters and test condition parameters, the demand parameters comprise a long side A1 and a short side A2 of a rectangular airspace, A1 > = A2, and a demand speed v0; the test parameters comprise a test airspace long side B1 and a test airspace short side B2, B1 is greater than or equal to B2, the test machine minimum speed v1 and the test machine maximum speed v2, and v2 is greater than or equal to v1; when A1 < = B1, A2 < = B2 and v1 < = v0 < = v2 are not satisfied, calculating an equivalent coefficient p, and if the airspace condition A1 < = B1 and A2 < = B2 are not satisfied, calculating and determining the equivalent coefficient p; if the airspace condition A1 < = B1 and A2 < = B2 are satisfied, but the speed v1 < = v0 < = v2 is not satisfied, determining an equivalent coefficient p; based on the reference point coordinates and the equivalent coefficient p, longitude and latitude are achieved through geocentric coordinate system conversion, and horizontal navigational speed mapping is carried out. According to the technical scheme, by simulating the flight profile required by the mission load, the problem that the unmanned aerial vehicle cannot fly out of the flight profile required by the mission load in a flight test carrying the mission load can be solved.

The invention discloses a wind power plant network following / constructing type fan proportion optimization configuration method and device, a medium and a product, and belongs to the technical field of new energy power system stability control, and the method comprises the steps: collecting the operation data of a wind power plant and a power grid, and carrying out the standardization preprocessing; constructing a typical operation scene set based on the preprocessed data; establishing an equivalent model of a following network type fan and a construction network type fan and a coupling model with a power grid; constructing a frequency, voltage and transient stability index system based on the coupling model; designing constraint conditions containing stability indexes; constructing a multi-objective optimization function with stability priority; solving by adopting a global optimization algorithm to obtain an optimal fan proportion solution set; and performing simulation verification and scheme screening on the optimal solution set, and determining a final configuration proportion. On the premise of ensuring the stability of the power grid, the proportion of different types of fans in the wind power plant is scientifically configured, and the safe and stable operation capability of a high-proportion new energy power system is effectively improved.

The invention discloses an industrial process fault detection method based on a deep multi-sampling probability principal component analysis model, and the method comprises the steps: carrying out the online collection of industrial process online measurement data, obtaining a potential factor corresponding to the online measurement data through a constructed end-to-end equivalent model, calculating the T2 and SPE statistics at a moment, comparing the T2 and SPE statistics with a statistical threshold value, and carrying out the fault detection. Judging whether a fault occurs or not; in the model construction stage, firstly, a deep multi-sampling probability principal component analysis model is constructed by utilizing a training sample set, initial values of parameters of an end-to-end equivalent model are obtained according to model parameters of each layer of the deep multi-sampling probability principal component analysis model, and finally, the end-to-end equivalent model is obtained through optimization. Compared with a traditional multi-sampling-rate model, the model provided by the invention has higher detection sensitivity and accuracy, and provides a more reliable real-time monitoring means for industrial processes such as a wastewater treatment process.

The invention relates to the technical field of wind power generation, and discloses a wind power plant clustering method based on transient and steady-state rotating speed data, which comprises the following steps: collecting dynamic data based on fault time sequence key nodes, and extracting five-dimensional feature vectors of transient and steady-state rotating speeds of a doubly-fed wind generator as clustering indexes; noise data is adaptively separated and classified through a density clustering algorithm, and abnormal value interference is eliminated; the homogeneous units are clustered and combined into an equivalent model in combination with a hierarchical modeling strategy, and a detailed model is reserved for heterogeneous units; dynamically fusing multi-dimensional parameters by adopting a capacity weighting method, a wind energy conservation principle and a power weight, calculating equivalent generator, transformer, wind speed and system parameters, and evaluating and optimizing model precision through errors; according to the method, the problems of insufficient dynamic response characterization, abnormal value sensitivity and parameter coupling deficiency in a traditional method are solved, and the simulation precision of a wind power plant equivalent model and the engineering applicability of interaction analysis of a power system are remarkably improved.

The invention relates to a rapid estimation method and device for MMC loss in an electromagnetic transient model, and a medium. The method comprises the following steps: S1, constructing a Thevenin equivalent model of an MMC; s2, on the basis of an MMC Thevenin equivalent model, discretizing a sub-module capacitor based on a numerical integration method to establish an on-state loss model of the sub-module; s3, correcting to obtain the turn-on loss and turn-off loss of the IGBT and the reverse recovery loss of the diode; s4, in one simulation step, on-state loss is obtained through calculation based on an on-state loss model, the total switching frequency is obtained through calculation according to port data of the Thevenin equivalent model, and switching loss is obtained through combination of on-state loss and off-state loss of an IGBT and reverse recovery loss and switching frequency of a diode; and S5, taking the sum of the on-state loss and the switching loss as total loss. Compared with the prior art, the method has the advantages that real-time updating in the simulation step can be realized, the calculation complexity is controllable, and the overhead is remarkably reduced while the engineering precision is ensured.

The invention discloses an interface method for a VSC direct current system mixed granularity model and an alternating current system electromechanical transient model. The method comprises the steps that a mixed granularity simulation framework is constructed, wherein an electromechanical transient phasor model is adopted on the alternating current side, and a simplified electromagnetic transient instantaneous value model considering electromagnetic characteristics is adopted on the direct current side; the VSC converter adopts a unified equivalent model, and various types of converters are adapted through parameter configuration; a low-voltage side bus of the converter transformer is arranged at the interface position of the simulation framework and the alternating current system; simulation and interaction rules are configured, wherein the simulation step length of each direct-current power grid is independently set; the alternating current system provides port voltage and alternating current control information for the simulation framework, the simulation framework is equivalent to the alternating current system as a power source, and power exchange is realized through the converter station; in one time step calculation of the electromechanical transient state, the simulation framework changes along with the alternating current side information, a historical simulation state is taken back, and direct current side simulation in the alternating current time step is carried out again until the power interaction deviation converges.

The invention discloses a load storage charging and discharging integrated power grid stability simulation analysis method and system, and belongs to the technical field of simulation analysis, and the method comprises the steps: obtaining power grid operation data and resource state data; constructing a load storage charging and discharging resource unified equivalent model containing self-adaptive virtual inertia and self-adaptive transient damping; power grid transient stability simulation is executed, and transient response data are generated; processing the response data, and calculating to obtain a multi-dimensional transient stability comprehensive index fusing the oscillation damping ratio and the voltage deviation integral; and iteratively adjusting the virtual inertia and the transient damping parameter according to the comprehensive index until an optimization condition is met, and generating an optimization control strategy. According to the method, the load storage charging and discharging heterogeneous resources are aggregated into the unified equivalent model, parameter optimization is guided through the transient stability comprehensive index, the grid-connected stability of the high-permeability power electronic equipment can be accurately evaluated and optimized, and the transient reliability and operation safety of a power grid when the power grid is subjected to fault disturbance are improved.

The invention provides a bearing outer ring fault diagnosis test parameter setting optimization method, which comprises the following steps of: firstly, accurately acquiring structural parameters of a bearing by utilizing a measuring tool; secondly, testing and calculating the inherent frequency and the damping ratio of the bearing in the installed state through a modal experiment; selecting test working condition parameters according to the actual operation environment of the bearing, and calculating the fault characteristic frequency of the bearing; bearing fault simulation signal band-pass filtering processing is constructed; meanwhile, constructing a fault signal equivalent model; carrying out resonance demodulation analysis on the equivalent model, extracting an envelope spectrum and evaluating a fault diagnosis effect; and finally, circularly adjusting working condition parameters, iteratively optimizing the test working conditions, and selecting the working condition with the maximum fault characteristic frequency amplitude and the minimum noise interference as the optimal test condition. According to the invention, the accuracy and reliability of bearing outer ring fault detection are effectively improved, and powerful support is provided for fault diagnosis of mechanical equipment.

The invention discloses an optimal scheduling method for a regional integrated energy system, and relates to the technical field of energy optimization. Comprising the following steps: step 1, multi-source data hierarchical acquisition and preprocessing; step 2, multi-time scale uncertainty scene modeling is carried out; step 3, constructing a multi-objective optimization model; 4, intelligent algorithm solving and dynamic scheduling are carried out; 5, carrying out constraint processing and resource integration; and 6, carrying out closed-loop correction and strategy optimization. According to the regional integrated energy system optimization scheduling method, a dynamic relaxation factor mu (t) is introduced to adjust equipment climbing constraint in real time, and a virtual energy storage equivalent model is combined to integrate a transferable load, so that when the load of the system suddenly increases, the equipment power adjustment fluctuation is controlled within 10% of rated power, frequent out-of-limit of energy storage is avoided, and meanwhile, the optimal scheduling of the regional integrated energy system is realized. The grading pricing mechanism excitation system of the stepped carbon transaction model preferentially consumes new energy, and the carbon emission is greatly reduced compared with that of a traditional fixed carbon price model.

The invention provides an average value model establishment method suitable for small disturbance stability research of a string type photovoltaic grid-connected system, and the method comprises the steps: firstly, carrying out the mathematical modeling of a string type photovoltaic converter SPWM modulation process; then, respectively establishing an alternating current side equivalent model and a direct current side equivalent model of the average value model of the converter; and finally, establishing a string photovoltaic independent grid-connected system through a two-stage boosting transformer in PSCAD / EMTDC electromagnetic transient simulation software, and comparing time domain electromagnetic transient simulation results of a detailed model and an average value model which are adopted by converter modulation in the same small disturbance instability scene, so as to verify the accuracy of the average value model. According to the method, the average value model of the string type photovoltaic converter is established, the problems of low simulation efficiency and overlarge calculation energy consumption caused by detailed modeling in the converter modulation process can be effectively avoided, and the method is suitable for small disturbance stability research under string type photovoltaic sudden increase of a complex alternating current system.

The invention discloses an equivalent dielectric parameter calculation method for a truss type structure, and belongs to the technical field of electronic science. The method solves the problem that an existing equivalent medium theory cannot directly perform equivalent calculation on a truss structure model, constructs a general expression from the equivalent medium theory, can improve the calculation universality and portability, considers the influence of material composition and structure on equivalent dielectric parameters, and improves the calculation accuracy. A precise tool is provided for analyzing electromagnetic behaviors, undetermined indexes are discretized in an interval range at equal intervals, processing and analysis can be facilitated, a scattering result data set of an equivalent model corresponding to each discrete index can be calculated, comparison data can be accumulated, a typical actual model can be established, and a scattering result is calculated by adopting an area integral equation method. According to the method, data can be ensured to be close to reality and reliable, accurate parameters are determined through fitting, equivalent conversion from a complex truss structure to a simple homogeneous medium model is achieved, and main electromagnetic characteristics of an original structure can be reserved while the complexity of the model is simplified.

The invention relates to the technical field of power systems, in particular to a virtual power plant multi-spatio-temporal flexibility matching method and device, equipment and a medium, and the method comprises the steps: obtaining a power resource data set of a distributed resource user; extracting time features and space features of power resources in the power resource data set; clustering the power resource data set according to the time features and the space features; constructing an equivalent model of a plurality of virtual power plants according to a clustering result, taking the current power grid flow and the current power distribution as constraint conditions of the equivalent model, and taking target transaction values of the virtual power plants participating in different power grid levels as optimization targets of the equivalent model; and based on the equivalent model, the constraint condition and the optimization target, adjusting the priority and the operation strategy of the virtual power plant in response to different levels of power grid dispatching instructions so as to meet the current energy consumption demand. Therefore, the problem that the resource utilization rate is low due to the fact that the virtual power plant cannot meet the multi-level consumption requirement of the power grid in the related technology is solved.