545 results about "Power model" patented technology

N applications are placed on M virtualized servers having power management capability. A time horizon is divided into a plurality of time windows, and, for each given one of the windows, a placement of the N applications is computed, taking into account power cost, migration cost, and performance benefit. The migration cost refers to cost to migrate from a first virtualized server to a second virtualized server for the given one of the windows. The N applications are placed onto the M virtualized servers, for each of the plurality of time windows, in accordance with the placement computed in the computing step for each of the windows. In an alternative aspect, power cost and performance benefit, but not migration cost, are taken into account; there are a plurality of virtual machines; and the computing step includes, for each of the windows, determining a target utilization for each of the servers based on a power model for each given one of the servers; picking a given one of the servers with a least power increase per unit increase in capacity, until capacity has been allocated to fit all the virtual machines; and employing a first fit decreasing bin packing technique to compute placement of the applications on the virtualized servers.

The time required to estimate the amount of power that will be consumed by a circuit under design is significantly speeded up. Specifically, the steps involved in power estimation (power model evaluation, aggregation) are implemented as power estimation circuitry that is added to the design of the functional circuit during circuit design. The resulting power-model-enhanced circuit is mapped onto a hardware emulation platform, one of whose outputs is a computation of the estimated power computed by the power estimation circuitry during the emulation. As compared to state-of-the-art commercial power estimation tools, speed-ups from around 10-fold to over 500-fold can be realized.

The invention provides an electric vehicle charge-discharge optimized dispatching method based on virtual electricity price. The method comprises the following steps: an electric energy public service platform predicts and samples the basic daily load information of a target area within an optimization time interval; when a new EV is connected to a charging pile within the target area, the network connection information of the new EV is read; a user input the charging information of the vehicle; an EV charge-discharge power model is constructed; virtual electricity price is calculated to indirectly reflect the load level of the target area; a dispatching model with the charge-discharge power as an optimization variable is constructed; dynamic time-of-use electricity price for user cost calculation is determined by combining wavelet analysis preprocessing and fuzzy clustering methods; the user makes an automatic response decision; a charge-discharge operation is performed on the EV according to the decision of the user and a plan is uploaded. The electric vehicle charge-discharge optimized dispatching method based on virtual electricity price is capable of realizing peak clipping and valley filling of EV cluster load and reducing the charge-discharge cost of the user on the basis of meeting the charging requirement of the user and the capacity limitation of a power distribution transformer. In case of a great EV cluster scale, the electric vehicle charge-discharge optimized dispatching method based on virtual electricity price is still capable of meeting grid side expectations.

The invention discloses a method for building a robot simulation drilling system based on a reality scene. The method comprises the following steps: obtaining depth image information of the reality scene, and transforming the depth image information into discrete three-dimensional point cloud data; interpreting the three-dimensional point cloud data into a semantic map which can be understood by a robot; inputting the discrete three-dimensional point cloud data into three-dimensional modeling software, and carrying out geometric modeling on a virtual scene, so as to obtain a three-dimensional entity model of the virtual scene; introducing the three-dimensional entity model into a 3DS MAX to map and render, so as to obtain a three-dimensional space scene model; carrying out geometric modeling on the robot in the 3DS MAX, so as to obtain a virtual robot model; introducing the three-dimensional space scene model and the virtual robot model into an OGRE (object-oriented graphics rendering engine), building a physical model and a power model of the three-dimensional space scene, and building a virtual scene simulation system.

A power estimation framework based on a network of power monitors that observe component- and system-level execution and power statistics at run time. Based on those statistics, the power monitors (i) select between multiple alternative power models for each component and / or (ii) configure the component power models to best negotiate the trade-off between efficiency and accuracy. This approach effectuates a co-coordinated, adaptive, spatio-temporal allocation of computational effort for power estimation. This approach yields large reductions in power estimation overhead while minimally impacting power estimation accuracy.

Techniques for accelerating power estimation for a circuit comprising generating an RTL description of the circuit. A power model enhanced RTL description of the circuit is generated. A simulator is selected. The power model enhanced RTL description is modified to make it more friendly to the simulator. The simulator is run to estimate the power consumed by the circuit. Techniques using delayed computation and partitioned sampling are also provided. Power estimation systems using the above techniques area also provided.

The invention discloses a control simulation method for a near-space hypersonic aircraft. The method comprises the following steps of: (1) establishing a motion model of the aircraft under the condition of a variable wind field; (2) establishing a motor power model of the near-space hypersonic aircraft; (3) establishing a pneumatic parameter base and an engine parameter base related with the motion model and the power model; (4) designing an attitude steady tracking control law and a centre-of-gravity motion control law on the basis of the motion model according to different task requirements; and (5) calculating atmosphere data and wind field data in the current state in real time, calculating all states of the aircraft according to the atmosphere data and wind field data and the designed control law, and repeating the steps until the simulation is finished. In the method, a whole set of the motion model of the near-space hypersonic aircraft under the condition of the variable wind field is provided on the basis of fully analyzing dynamic and kinematic laws of the near-space hypersonic aircraft and by combining the actual conditions of the motor power model and the atmospheric wind field environment. The invention also discloses an aircraft-based control simulation platform.

The invention relates to an electric automobile optimal peak-valley time-of-use pricing method giving consideration to the owner satisfaction degree. The electric automobile optimal peak-valley time-of-use pricing method specifically comprises the following steps of (1) establishing probability models of a last journey ending moment and a daily running mileage; (2) establishing demand response models for charging and discharging of electric automobiles, including (2a) a demand response model of an A-type electric automobile, (2b) a demand response model of a B-type electric automobile and (2c) a demand response model of a C-type electric automobile; (3) establishing an optimal peak-valley time-of-use electrovalence solving model. Charging and discharging power models of the electric automobiles are established according to two factors influencing the power demands of the electric automobiles, namely charging beginning moment and the daily running mileage, then an optimal peak-valley time-of-use electrovalence solving scheme applicable to the charging and discharging of the electric automobiles is established based on the electric automobile owner satisfaction degree and power grid benefits, and investment on peak-load units and lines is reduced to some extent.

The invention discloses a computational fluid dynamics (CFD)-based centrifugal pump multi-working condition hydraulic power optimization method. The method comprises the following steps of: 1, establishing an initial specimen bank for centrifugal pump multi-working condition hydraulic power optimization on the basis of external characteristic tests; 2, establishing a CFD-based centrifugal pump multi-working condition hydraulic power optimization model; 3, generating a specimen bank for the centrifugal pump multi-working condition hydraulic power optimization and constructing a response surface approximate model by CFD technology on the basis of single point hydraulic design and uniform design methods; 4, globally optimizing the approximate model by a global optimization algorithm; and 5, performing hydraulic power design on a centrifugal pump by a parametric computer aided design (PCAD) according to optimization results so as to obtain a multi-working condition hydraulic power model of the centrifugal pump. The method can perform the multi-working condition hydraulic power optimization on the centrifugal pump according to the performance requirements under multiple working conditions so as to improve the weighted average efficiency and enlarge the high efficiency area range, and can provide references for unstable flowing under the working conditions of actively controlling low flow and cavitation under the working conditions of inhibiting high flow.

A performance measure (e.g., processor speed) for computing components such as servers is optimized by creating models of power consumption versus the performance measure for each server, adding the power models to derive an overall power model, and calculating an optimum set point for the performance measure which corresponds to a power limit on the servers using the overall power model. The set point is then used to set power budgets for the servers based on their power models, and the servers maintain power levels no greater than their respective power budgets. The server power models are preferably created in real time by monitoring power consumption and the performance measure to derive sets of data points for the servers, and performing regression on the sets of data points to yield power models for the servers. Multiple server power models may be created for different program applications.

The invention discloses a sudden water pollution accident analog simulation and visualization service system. The system is characterized in that a B / S (browser / server) structure is adopted, an analog simulation computing service of sudden water pollution accidents is provided at a server side, simulation prediction of pollutant diffusion trend is performed by the aid of a water power model and a water quality model according to water quality and hydrological monitoring data, sudden accident information and pollutant information, and simulation results are stored into a database; and the simulation results are associated with space information by means of the WebGIS technique, and spatial and temporal change dynamic effects of sudden water quality pollution accidents are presented in a GIS (geographic information system) map form on a client browser and used for emergency disposal and decision support for the sudden water quality pollution accidents. The sudden water pollution accident analog simulation and visualization service system is available for remote operation and network access, meets the current requirements on rapid and effective analog simulation services of sudden water pollution accidents, and can provide services for various water environmental monitoring systems and water quality monitoring early warning systems.

The invention provides an electromagnetic transient state simulating method of a double-fed wind power generation set system with a variable speed and a constant frequency, relates to a wind power generation system, and in particular relates to a method for the modeling analysis of a double-fed wind power generation set system by using computer programs. The method comprises the following steps: establishing a wind power model to simulate the wind power absorbed by a wind turbine; establishing a wind turbine shafting model; establishing a propeller pitch control system model; establishing an electrical simulation model of a double-fed asynchronous induction motor; establishing a controller model of a frequency converter on the side of a power grid and the frequency converter on the side of a rotor; establishing a double-fed wind turbine stand-alone infinity system model by using a wind power generation set simulation module; setting a simulated operation condition and a failure state of the power generation set system; and carrying out an electromagnetic transient simulation, thereby verifying the setting value and the rationality of the protective system. According to the invention, the detailed models conforming to the physical properties of the double-fed wind power generation set system with the variable speed and the constant frequency are established to carry out simulations on the electromagnetic transient state and the electromechanical transient state, so that the dynamic properties of a wind turbine under various failure and working conditions are investigated. Therefore, the simulations of the wind turbine in large-scale power grids are realized possibly.

Embodiments provide implementations for estimating a test application's energy usage on a target device based on execution of the test application. Resource usage associated with the execution of the test application is measured. The measured resource usage is input into a power model of the target device to estimate the energy that the test application uses when executed on the target device. An emulation system is configured to execute the test application in a virtual execution environment using resource scaling and simulated target device application programming interfaces to substantially simulate the corresponding capabilities of the target device.

A method of creating models for power estimation of a circuit comprising generating an input space for the circuit. The input space is separated into multiple power modes corresponding to regions that display similar power behavior. Separate power models are generated for each of said multiple power modes. A power mode identification function is created that selects an appropriate power model from the separate power models based on the present and past values of the circuit inputs.

The invention provides a method for predicting tide-bound water level by combining a statistic model and a power model. The method comprises the following steps of obtaining a tidal harmonic constant; predicting the astronomical tide and water rising level; obtaining predicted tide-bound water level Ls based on the statistic model; calculating and obtaining predicted wind field results and open boundary conditions of the tide according to an atmosphere prediction model; taking the wind field results and the open boundary conditions as a forcing field; using an ocean dynamics model to calculate predicted tide-bound water level Lm containing the astronomical tide and the water rising level; establishing a best tide-bound water level prediction formula based on the veracity analysis on the prediction results of the two models under all time scale and meteorological condition; providing the prediction results on final tide-bound water level L; and displaying the prediction results in realtime by a visualized technology. The method organically couples with monitoring data of weather and sea level, the statistic prediction method of sea level values, an atmosphere and ocean dynamics model and a real-time visualized system so as to achieve the requirement of exactly and quickly predicting the tide-bound water level.

The invention discloses a method for constructing a power model for a mobile terminal. The power information of the mobile terminal under various operations is acquired. The method includes the steps of counting the use state of the mobile terminal within a set period; and constructing a power model for the mobile terminal according to the use state and the power information of the mobile terminal. The invention further discloses a device for constructing the power model of the mobile terminal, which comprises an acquisition unit used for acquiring the power information of the mobile terminal under various operations, a counting unit used to count the use state of the mobile terminal within a set period, and a constructing unit used for constructing the power model of the mobile terminal according to the use state and the power information of the mobile terminal. The invention provides a corresponding power model according to the service condition of the mobile terminal to a user, so the invention can help designers design mobile terminals which can satisfy different endurance requirements of the users and can meet the experience needs of the users.

The invention discloses a modeling and simulation method for a doubly-fed variable speed constant frequency wind generation set system, and relates to a wind power generation system, in particular to a method for performing modeling analysis on a doubly-fed wind generation set system by using a computer program. The method comprises the following steps of: establishing a wind power model to simulate wind power absorbed by a wind-driven generator; establishing a wind-driven generator shaft model; establishing a blade pitch control system model; establishing an electrical simulation model for a doubly-fed asynchronous induction motor; establishing a power grid side frequency converter and rotor side frequency converter controller model; establishing a doubly-fed wind-driven generator one machine infinite bus system model by using the wind generation set simulation models; and setting the simulation running working condition and the failure state of the wind generation set system, and performing electromagnetic transient simulation, electromechanical transient simulation and failure simulation. Detailed models in line with physical characteristics of a doubly-fed variable speed constant frequency wind generation set are established for the electromagnetic transient simulation and the electromechanical transient simulation, and dynamic characteristics of the wind-driven generator under various failure and working conditions can be inspected to make the simulation of the wind-driven generator in a large-scale power grid possible.

An auxiliary load (148) for a fuel cell stack (102) is alternatively connected and disconnected from the fuel cell external circuit (177, 178) by a switch (200) in response to a switch control (201), repetitively, during startup and shutdown. The switch may be an insulated gate bipolar transistor (208) which is turned on and off by hunting between an upper limit voltage (207) and a lower limit voltage (208), which may be performed by compare circuits (205, 206), by the controller (202), or by commercially available voltage responsive hysteresis switches. Schedules of duty cycle as a function of cell stack voltage for startup (212) and shutdown (213) control a pulse width modulator (215) which operates the switch. Controls (229, 231) may limit the modulation so that the auxiliary load does not overheat, in response to temperature (221) of the load or a voltage / power model (235). The auxiliary load may comprise a heater in a water accumulator (247), an air intake (257) or an enthalpy recovery device (262).

For analytic-based control of energy consumption, an appliance module receives an appliance identifier of an appliance connected to a power outlet, a selection module selects a power model for the power outlet based on the appliance identifier, the power model designating times that the power outlet is to be powered and times that the power outlet is to be unpowered, a usage module receives energy usage data for a power outlet, a presence module receives user presence data for a locale containing the power outlet, a update module modifies a power model for the power outlet based on the energy usage data and the user presence data, and a power control module selectively provides electrical power to the power outlet according to the power schedule.

The invention relates to a wind generator power optimization system based on drift correction. The system comprises a data acquisition module, a power simulation module, a wind direction offset diagnosis module and a control module. The data acquisition module is used for collecting real-time data of operation of a draught fan, and storing the real-time data to form historical data. The power simulation module is used for reading the historical data, screening the historical data, establishing a balanced data set according to the screened data and establishing a power model according to the balanced data set. The wind direction offset diagnosis module generates control information according to the received power model and the real-time data and sends the control information to the control module. The control module adjusts the drift angle of the draught fan according to the received control information. In addition, the invention further provides a wind generator power optimization method based on drift correction. According to the wind generator power optimization system and method based on drift correction, the drift angle can be diagnosed and adjusted in real time, the service life of a wind generator set is prolonged, and the operation safety factor is improved.

The invention discloses a dual-fuel engine controller simulation test system, and is used for realizing an HIL test of an HPDI engine controller. The system includes a real-time simulator and an engine controller, wherein the real-time simulator is used for operating an environmental model, a driver model and a full vehicle model, sending vehicle environment parameters output by the environmental model, driver behavior parameters output by the driver model and each vehicle operating parameter output by the full vehicle model to the engine controller, and receiving a control signal sent by the engine controller, and continuing to operate the environmental model, the driver model and the full vehicle model according to the control signal, and the full vehicle model includes a dual-fuel engine model (including a gas circuit model, a fuel supply model, a cylinder combustion model, and a heat balance model), an accessory model, a drive system model, and a vehicle longitudinal power model. The engine controller is used for determining the operating condition of the engine according to the vehicle environment parameters, the driver behavior parameters and the vehicle operating parameters and generating and sending the control signal.

The invention relates to a method of confirming parameters of a distributed power flow controller system. The method of confirming the parameters of the distributed power flow controller system includes the following steps. A topological structure model is built up, maximum fundamental frequency voltage amplitude and series linkage side three-time harmonic voltage amplitude of a series linkage side transformer injection electric transmission line are confirmed based on a power model and a power law of conservation of the topological structure model. The maximum active power consumed by the series linkage side converter is used for confirming the maximum three-time harmonic current absorbed from a line by the converter. A constraint condition that three-time harmonic reactive power is zero is determined to confirm the maximum three-time harmonic voltage amplitude output by the parallel linkage side and according to normalization low pass filter (LPF) design, parameters of a series linkage side filter are confirmed. With the method of confirming the parameters of the distributed power flow controller system, the parameters of main parts of the distributed power flow controller system can be systematically designed. The method of confirming the parameters of the distributed power flow controller system has the advantages of being simple in step and high in reliability and lays a foundation for application of the distributed power flow controller system to engineering practice or experiment sample machine manufacturing.

A method is provided for architectural integrated circuit power estimation. The method may include receiving a plurality of respective energy events, receiving a plurality of base-level energy models, and generating a plurality of power models. Each power model may hierarchically instantiate one or more of the base-level energy models. The method may further include mapping each respective energy event to one or more of the plurality of power models. The method may further include hierarchically evaluating a particular base-level energy model corresponding to a given respective energy event, estimating an energy associated with evaluation of the particular base-level energy model, and accumulating the energy in a power estimate corresponding to the given respective energy event.

The invention discloses a power grid model splicing method based on unified coding, which is used for splicing power grid models in all regions and comprises the following steps of: (1) respectively establishing a data storage in each region and storing subregional power grid model data in each region into the data storage in a normative way; (2) dividing a boundary according to scope of jurisdiction, carrying out unified coding on equipment according to the scope of jurisdiction and the boundary, and arranging a coding server in each subregion, wherein the coding server is used for inquiringthe code of a data object in each subregional power grid model; and (3) acquiring regional power grid models according to the scope established on the basis of boundary division and splicing the subregional power grid models through unified coding. In the invention, both the generality and the expandability of the power grid model splicing method can be guaranteed, the model splicing can be carried out on line on the basis of a GDA (General Data Access) interface of the power grid model in each region, models to be spliced need not to be read into a buffering region in advance in a splicing process, the fewer resources are occupied, and the power grid models in multiple regions can be spliced simultaneously.

The present invention discloses a power-aware compiling method, wherein the power model of an application program are established via building and analyzing the control flow chart and the data flow chart of the application program; each functional unit of the application program is assigned a power mode; a judgment is undertaken to determine whether the idle functional units are independent; if none dependency exists between those idle function units, the program codes of the same idle function units are merged into a new basic block, and the idle functional units are turned off for saving power; each new basic block is assigned an appropriate power mode; the basic blocks with the same power modes are merged to reduce the transitions between different power modes; thus, the power consumed by changing voltage or frequency can be decreased.

The invention provides an aggregation model building and simulating method for a high-capacity wind power plant fan, and relates to a wind turbine system, and particular to a method for the modeling analysis of a doubly-fed induction generator system using computer programs. The method comprises the following steps of: building a wind power model to simulate wind power absorbed by a wind machine; building a fan shaft system model; building a propeller pitch control system model; building a doubly-fed asynchronous induction motor electric simulation model; building a power grid-side frequency converter and rotor-side frequency converter controller model; building a high-capacity wind power plant detailed model and a wind power plant aggregation model; and setting the simulation run working condition and the failure state of a wind turbine generator system, so that the fault simulation can be carried out, and the fan aggregation model can be verified. According to the method, the detailed model and the high-capacity wind power plant fan aggregation model, which accord with the physical property of a doubly-fed variable-speed constant-frequency wind turbine generator, can be built, so that the simulation precision can completely meet the requirement, and the simulation speed can be greatly improved; and therefore, the method is suitable for the stability analysis after the wind power accesses into a large-scale power grid.

The invention discloses an optimal capacity estimation method for energy storage in the field of frequency modulation of a power system. The method comprises the steps of building an energy storage output power module, and determining adjustable capacity of energy storage according to the energy storage output power module; building an output power model of a conventional machine set, and determining adjustable capacity of the conventional machine set according to the output power model of the conventional machine set; building frequency modulation dispatching strategy model, and adjusting capacity of energy storage or the conventional machine set according to frequency modulation capacity required by the power system and the adjustable capacity of energy storage or the adjustable capacityof the conventional machine set; building a frequency modulation compensation rule module, and determining compensation amount of energy storage or the conventional machine set according to the frequency modulation compensation rule model; setting a capacity ratio of energy storage; building a frequency modulation time sequence simulation model, building a simulation algorithm input database, andperforming frequency modulation time sequence simulation according to the capacity ratio of energy storage; and calculating total frequency modulation compensation fee of all conventional machine sets and energy storage within a typical frequency modulation day according to data within a certain time.