25results about How to "Smoothing fluctuations" patented technology

The invention discloses a multi-target intelligent optimization air conditioner control method and system based on multi-dimensional machine learning, and aims to acquire outdoor environment data by acquiring personnel flow and environment data inside and outside a building in real time and combining weather forecast information and the like, and predict future personnel flow trend and environment change conditions by utilizing a machine learning algorithm, so as to realize intelligent optimization of the air conditioner. And data support is provided for an artificial intelligence control strategy of the air conditioning system. Based on the prediction results, a multi-target optimization control algorithm is used for conducting multi-dimensional parameter regression on the air conditioner operation effect, and operation parameters such as the temperature, the humidity and the wind speed of the air conditioner system are dynamically adjusted. The air conditioning system is suitable for various large buildings such as office buildings, shopping malls and airports, the energy utilization efficiency of the air conditioning system is remarkably improved and the energy consumption is greatly reduced on the premise that the indoor environment comfort is ensured, and the air conditioning system has remarkable energy-saving and carbon-reducing effects, wide application prospects and remarkable economic and environmental protection benefits.

The invention belongs to but is not limited to the technical field of time frequency, and discloses a method and a system for taming a rubidium atomic clock based on a long-wave timing signal, a mathematical model of the long-wave timing signal is established, the long-wave timing signal influenced by various factors is uniformly analyzed and modeled by analyzing the time-frequency characteristic of the long-wave timing signal, and the rubidium atomic clock is tamed. The long-wave time-varying signal with obvious fluctuation and periodic effects is corrected into a stable timing signal; constructing a time difference model of quadratic polynomial superposition periodic fluctuation terms for rubidium atomic clock taming, and correcting original time difference data of a rubidium clock and a long wave; and taming the rubidium atomic clock, and realizing taming of the rubidium atomic clock by using the corrected rubidium clock and the long wave time difference data in combination with a least square method. According to the invention, the problems of large short-term jitter and long-term obvious periodic effect of a long-wave timing signal are solved; the problem of fluctuation of time difference data of long waves and rubidium atomic clocks is reduced; and the application of long-wave timing in the aspect of atomic clock taming is expanded.

The invention relates to the technical field of multi-objective optimization operation of a hybrid pumping and storage-containing water-wind-solar complementary system, and discloses a hybrid pumping and storage optimization scheduling method and system considering peak regulation and risk avoidance. The method comprises the following steps: acquiring historical data of a cascade basin water-wind-light power station and a power grid load, generating scheduling initial data through prediction, and generating scheduling scene data capable of representing the uncertainty of new energy based on the scheduling initial data and a prediction error; constructing an optimization model, solving the optimization model, and based on the solution of the optimization model, generating scheduling instructions of the drainage basin cascade hydropower station and the hybrid pumped storage power station; through the optimization model, the risk of power abandoning and load losing at the hydropower side is minimized, collaborative optimization meeting the peak regulation requirement of the power grid side is achieved, the flexible regulation advantage of hybrid pumping and storage is brought into full play, and stable operation and reliability of the system are promoted; and through linear processing, the solving speed and precision are improved, the real-time calculation efficiency of the system is ensured, and making of a scheduling decision is more efficient.

The invention discloses an alternating-current micro-grid construction inertia compensation control method, which comprises the following steps of: according to nodes of an alternating-current micro-grid and a power interaction physical model of a distributed power supply, determining a coupling relationship between the distributed power supply and the alternating-current micro-grid, including a coupling relationship among a grid-following converter, a grid-construction converter and the alternating-current micro-grid; calculating an inertia time constant of an alternating current micro-grid node, determining an inertia output margin of the inertia time constant of the alternating current micro-grid node, and determining an inertia compensation range of the grid-forming converter; and calculating the actual output power of the distributed power supply input power distribution network based on the coupling relationship, taking the actual output power of the network construction type converter as the power feedback input of network construction control, and controlling the inertia power of the source side energy storage device to be output to the power grid based on the network following control strategy and the inertia compensation range of the network construction type converter. And reaching the boundary of the inertia compensation range. By coordinating the networking converter and the energy storage converter, the fluctuation can be efficiently stabilized, and the system stability is improved.

The invention relates to a four-motor traction control method, device and equipment and a readable storage medium, and belongs to the field of control over vehicle transmission systems.The method comprises the steps that the target wheel speed of each wheel is calculated by obtaining the actual vehicle speed of a target vehicle at the current moment and the actual wheel speed and the wheel acceleration of each wheel; calculating the wheel speed change rate correction amount of each wheel based on the wheel acceleration of each wheel at the current moment and a plurality of historical wheel accelerations of each wheel at a set historical moment; determining the slippage control adjustment amount of each wheel and judging whether slippage occurs or not; if the wheels slip, target motor torque of the wheels is calculated based on the wheel speed change rate correction amount of the wheels and a preset motor torque calculation rule, and traction force of the wheels is controlled based on the target motor torque. According to the method, the effects of improving the traction force control precision and stability of the vehicle under different road conditions, reducing the slipping phenomenon and improving the driving safety and comfort are achieved.

The invention discloses a power supply scheduling method and system of a railway traction station based on photovoltaic grid-connected power generation, and relates to the field of photovoltaic power generation. The method comprises the following steps: acquiring load information after traction of a railway in a target area for a preset duration and detection information corresponding to a photovoltaic grid-connected power generation system; according to the load information and the detection information, a power supply mode of each traction station is determined, and the power supply mode comprises that any one of a photovoltaic grid-connected power generation system, an energy storage system and a power grid continuously supplies power to the corresponding traction station within a preset duration; and within the preset duration, supplying power to each traction station according to the power supply mode. By implementing the technical scheme provided by the invention, the fluctuation of photovoltaic power generation can be effectively stabilized, and the stability of overall power supply is improved.

The present invention relates to the field of gas metering technology, and discloses a civil gas metering method based on ultrasonic metering, including: using an ultrasonic gas meter to record the user's gas consumption, recording the gas-using equipment, gas consumption duration and time period in each gas usage cycle, and ensuring that the equipment heat load is a constant value. By screening the independent gas consumption time period of each device, its unit time gas consumption is calculated as historical data. At the same time, the noise of the gas pipeline is monitored. If the noise exceeds the limit, it is recorded as an abnormal period, and the abnormal time period and marking equipment are obtained. According to the marking equipment and the average unit gas consumption, a first data calibration strategy is performed, and the actual consumption and the estimated consumption are compared after the cycle ends. If there is no error, it is recorded. If there is an error, the second data calibration strategy is executed, and statistical calibration is performed according to the error value; the accuracy of gas metering is guaranteed by the first data calibration strategy, the second data calibration strategy and statistical calibration.

The invention relates to a market-oriented new energy power supply and distribution system resource modeling method and system, belongs to the field of new energy power, and provides a market-oriented new energy power supply and distribution system resource modeling method for solving the problem that an existing mode is difficult to meet the requirements of efficient operation and transaction optimization of a new energy power supply and distribution system. Comprising the steps of classifying resources according to resource types contained in the new energy power supply and distribution system based on characteristic parameters of the resources; establishing a mathematical model to which each resource type belongs; respectively establishing an association model to which each resource type belongs, wherein the association model is used for associating offers between the resources and the new energy power supply and distribution system; and based on the mathematical model and the correlation model, constructing a new energy power supply and distribution system scheduling model, realizing cooperative operation between new energy power generation resources and energy storage resources, further realizing optimized storage and release of energy, and realizing accurate modeling and efficient optimization management of various resources in the new energy power supply and distribution system.

The present application provides a power consumption and storage integrated converter for a DC power transmission system and a control method thereof, wherein the power consumption and storage integrated converter comprises at least one power consumption submodule and at least one energy storage submodule, wherein the power consumption submodule and the energy storage submodule are connected in series and connected to a DC line, wherein: the energy storage submodule is used to store the surplus power of the DC power transmission system; the energy consumption submodule is used to consume the surplus power; the energy storage submodule and the energy consumption submodule cooperate to support the power grid frequency and power regulation requirements. It can not only solve the DC overvoltage problem when the receiving-end power grid fails, but also reduce the impact of new energy fluctuations on the power grid, and enhance the support of new energy for power grid frequency and power regulation.

This invention discloses a power-led computer-computer collaborative control strategy method and system. First, a unified computer-computer coupling model is established, standardizing and quantifying the information attributes and energy consumption characteristics of computing tasks. Based on this model, through multi-timescale collaborative optimization, a control strategy is generated to guide the computing load through time-shifting and spatial migration, enabling it to proactively adapt to the grid operating state, achieving peak shaving and valley filling, promoting the consumption of new energy sources, and achieving rapid frequency response. The corresponding system adopts a three-layer collaborative architecture of "center-edge-local," including a central collaborative decision-making platform, regional computing power aggregation agents, and local resource control units, forming a closed-loop control from global optimization decision-making to precise local execution. This invention significantly improves the safety and economy of grid operation while ensuring the quality of computing power services, and provides an innovative technological path for the computing power industry to reduce energy costs and improve its green level.

The application provides a virtual power plant frequency modulation and peak regulation method, comprising the following steps: acquiring a wind and light load prediction curve, market price prediction information and a power grid next-day peak regulation demand curve, establishing a first planning model to obtain each controllable resource base point power plan and energy storage SOC plan of each preset time period of the next day; after the next day, every preset time period is executed: acquiring short-term wind and light load prediction data, actual operation state of each resource and real-time market price information, establishing a second planning model to correct each controllable resource base point power plan and energy storage SOC plan of the current time period, and determining a frequency modulation parameter of the current time period; according to the corrected each controllable resource base point power plan and energy storage SOC plan of the current time period, instructing corresponding equipment to execute; if a power grid frequency modulation instruction is received, adjusting the output of the frequency modulation resource according to the frequency modulation parameter of the current time period. The method solves the limitation problem of the virtual power plant in frequency modulation and peak regulation.

The invention discloses an optimal configuration method for a park micro-grid shared energy storage wind-solar power generation system, and belongs to the technical field of shared energy storage and new energy power generation, and the method comprises the steps: building a target function according to the first cost of purchasing electric power from a main power grid and the second cost of investing shared energy storage, wind power generation and photovoltaic power generation systems in a park; and on the basis of the objective function, by setting constraint conditions, carrying out optimal configuration on the capacity and power of the microgrid shared energy storage system in the park and the power of the wind and light power generation system. Joint operation of the industrial park is achieved through the shared energy storage system, redundant energy is effectively shared, waste of wind energy and photovoltaic power generation is reduced, and the demand for purchasing power from a power grid in the industrial park is greatly reduced, so that the power supply cost of the industrial park is reduced, and meanwhile the reliability of energy supply is improved; and greater economic benefits are brought to industrial parks.

The invention discloses a damper real-time performance evaluation and health diagnosis system and method. Current traditional damper monitoring faces many limitations. The system comprises a sensor array module, a data acquisition and preprocessing module, a data fusion processing module, a performance evaluation module, a health diagnosis module, an early warning module and a communication and storage module. The data fusion processing module is used for performing automatic fusion processing on the preprocessed data to generate optimized fusion data; the performance evaluation module is used for calculating various performance indexes of the damper through the fused data; the health diagnosis module diagnoses the fault type of the damper according to the fused data and the performance evaluation result, analyzes the fault reason and evaluates the risk level of the fault; the early warning module is used for issuing early warning information; and the communication and storage module is used for data transmission and storage. According to the invention, the accuracy, real-time performance and reliability of damper monitoring are improved.

The invention discloses a control method and device for internal combustion power low NOx emission, and belongs to the technical field of tail gas aftertreatment. A flow sensor, an oxidation catalysis unit OC, an ammonia ejector, a nitrogen oxide storage unit NSRU, a nitrogen oxide concentration sensor and a selective catalytic reduction unit SCR are sequentially arranged in the exhaust direction. NOx in the tail gas firstly flows through the OC unit, NO in the tail gas is oxidized into NO2 by utilizing the oxidation characteristic of the OC unit, so that the concentration of NO2 in the tail gas is increased, and the NOx with the changed concentration ratio enters the NSRU unit; if the molar ratio of NH3 to NOx in the current NSRU region is lt; if 1, NO2 is partially converted into nitrate to be stored; if the molar ratio of NH3 to NOx in the current NSRU area is gt; if 1, the nitrate stored in the NSRU can be converted into NO2 to be released. Therefore, under the condition that the ammonia injection amount of the NSRU is constant, if the NOx of the incoming flow fluctuates in different heights, the NSRU adsorbs the NOx fluctuating in the forward direction and releases the NOx fluctuating in the negative direction, the stability of the flow of the NOx entering the SCR unit is improved, and efficient conversion of the NOx is achieved.

The invention discloses a small liquid cooling industrial and commercial energy storage all-in-one machine with a transient switching function, and belongs to the field of energy storage devices. A power distribution system, a battery fire-fighting environment control system and a liquid cooling system are arranged in the cabinet body; an energy storage converter PCS and an STS transient change-over switch are arranged in the power distribution system, and the energy storage converter PCS is electrically connected with an external solar cell panel; the energy storage converter PCS is electrically connected with the STS transient change-over switch; the power distribution system comprises a battery cluster and a battery management system BMS, and the battery management system BMS is in communication connection with the battery cluster; and the energy management system EMS is in communication connection with the battery fire-fighting environment control system and the liquid cooling system. According to the invention, the problems of equipment damage, data loss and communication signal disappearance caused by temporary power failure are avoided, and grid-connected and off-grid control, peak load shifting, demand control, transient switching, new energy fluctuation stabilization, dynamic capacity expansion, energy storage income optimization and the like are realized. Fire safety is guaranteed, the cooling effect is improved, and high reliability, high circulation and long service life of the device are achieved.

The method and system for reliability evaluation of flexible interconnected distribution network considering fault recovery comprise: constructing a multi-device collaborative recovery optimization model, the constraint conditions comprising a topology constraint and a power flow constraint based on an improved virtual flow method; converting the nonlinear constraint into a linear one; generating a fault scene by using sequential Monte Carlo simulation for sampling, recording the current fault occurrence time, calculating the average equivalent output of the wind-photovoltaic joint output scene corresponding to the fault occurrence time as the upper limit of the wind-photovoltaic DG output, improving the original power flow constraint based on the upper limit of the wind-photovoltaic DG output, and adopting the improved multi-device collaborative recovery optimization model for optimal fault recovery; and if the simulation time exceeds the simulation time limit, calculating the node reliability index and the FIDN reliability index. The present application can effectively improve the system reliability, smooth the new energy fluctuation and share the risk brought by SOP fault.

The invention relates to a pressure control method, device and equipment based on an ethylene unloading working condition of a VAC device, a medium and a program product. The method comprises the following steps: determining a current working condition according to process characteristics; automatically switching a pressure control target according to the working condition and the pressure parameter; according to different working conditions, the pressure control points of the storage tank are dynamically adjusted in stages; reading an actual measurement value of a pressure variable, setting algorithm detection interval time, and obtaining a pressure change rate through differential calculation; the pressure control point serves as a target value, the actual pressure measurement value serves as a feedback value, the deviation between the target value and the feedback value is calculated, the deviation is processed through a PID algorithm, and an opening instruction of the ethylene backflow flow valve is output. Therefore, the operation condition of the device can be automatically identified, and a corresponding control strategy is matched. Automatic control over the pressure of the ethylene buffer tank in the whole ethylene unloading process is achieved; ethylene backflow is used as a core pressure control means, and the adjusting amplitude of the pressure control valve of the ethylene buffer tank is reduced.

The invention relates to the technical field of power system control, and discloses a double-winding generator and energy storage parallel system and a grid-connected control method thereof. Aiming at the problems of large impact current, unsmooth synchronization, discontinuous mode switching and the like in the traditional grid connection, the method maintains stable off-grid operation through multi-stage closed-loop control, verifies voltage frequency deviation after receiving a grid connection instruction, progressively synchronizes a phase by adopting a dynamic step length strategy, and closes a grid connection switch at a power grid voltage zero crossing point after fine calibration of a phase-locked loop, so that the grid connection is realized. And the operation mode is adaptively switched after grid connection. The system comprises a system unit comprising a battery module, a double-winding generator module and the like, and a control unit comprising a measurement module, a phase-locked loop module, a phase synchronization module and the like. The method realizes non-impact smooth grid connection, effectively inhibits voltage and current oscillation, improves system reliability and electric energy quality, and is suitable for distributed energy, micro-grid and emergency power supply scenes.

The utility model relates to an offshore wind power miniature energy storage device for storing energy through underwater compressed air, and aims to solve the problems that offshore wind power is unstable and electric energy is difficult to store and improve the stability of electric power transmission of an offshore wind power unit. The front end of the device is connected with an air compressor, power is supplied to the air compressor and an air bag in an energy storage device is inflated when the generating capacity of an offshore wind turbine generator is sufficient, an electronic one-way valve of compressed air energy storage equipment is opened when wind energy is weak, the air bag is compressed by water pressure to release compressed air, and potential energy of the compressed air is converted into mechanical energy through an expansion machine; and then the generator is driven to generate electricity and transmit electric energy to a power grid. By adopting the device, the fluctuation of offshore wind power can be effectively stabilized, the grid connection performance of the wind power and the stability of power transmission are improved, powerful technical support is provided for large-scale development and utilization of the offshore wind power, and the device has a wide application prospect.

The embodiment of the invention provides a smart energy scheduling system for an expressway. The smart energy scheduling system comprises a distributed energy supply unit, an energy storage unit, an energy consumption load unit, a sensing and predicting unit and a central scheduling control unit. According to the system, traffic flow prediction and vehicle trajectory data are fused through the perception and prediction unit, and the short-term load demand is accurately predicted; and the central scheduling control unit introduces a flexible capacity participation factor based on a traffic flow fluctuation degree, dynamically restrains the scheduling range of the energy storage unit, and establishes a multi-objective optimization model to perform rolling optimization calculation. According to the invention, collaborative optimization scheduling of distributed energy, stored energy and flexible load is realized, the operation economy, power supply reliability and renewable energy consumption capability of the highway energy system are effectively improved, and the adaptive capability of the system to deal with traffic flow uncertainty is enhanced.

This invention proposes a method and system for controlling the absorption capacity of a radiant air conditioning microgrid. The method determines the allowable thermal and humidity dynamic elastic range for the radiant terminal surface based on collected data, combined with a human thermal comfort model and a dew point temperature dynamic evolution model. This dynamic elastic range is then transformed into equivalent virtual energy storage capacity, maximum absorbable charging / discharging power, and maximum sustainable discharge duration, based on building thermal capacity characteristics and the variable operating condition performance curves of the heat pump unit. According to the received power scheduling command, within the constraints of the thermal and humidity dynamic elastic range, the optimal control sequence for each device parameter in the radiant air conditioning system is solved using a rolling optimization algorithm. Based on this optimal control sequence, the system controls each device in the radiant air conditioning system, achieving a shift from passive response to active guidance. This improves the safety and reliability of source-load interaction and enhances the reliability of the radiant air conditioning microgrid absorption capacity control.

The present invention belongs to the technical field of integrated energy system optimization, and specifically relates to an integrated energy system optimization design method, device, equipment and medium. This scheme includes power-type energy storage equipment, energy-type energy storage equipment and compressed air energy storage system. By combining multiple energy storage equipment, the advantages of multiple energy storage devices are complementary. On the intraday time scale, supercapacitors as power-type energy storage equipment bear high-frequency fluctuation components, and lithium batteries as energy-type energy storage equipment bear low-frequency fluctuations. The power fluctuations are decomposed by variational mode decomposition to determine the power borne by the power-type energy storage equipment and the energy-type energy storage equipment respectively. The annual operating cost is minimized as the optimization goal, and the rated power and rated capacity of the supercapacitor and lithium battery are determined. The integrated energy system obtained by this method can effectively smooth the volatility of renewable energy and user power load in actual operation, and ensure the stability, flexibility and economy of the system.

The present invention discloses a Carnot battery water cycle energy system and a planning method and device thereof. The method collects user demand data, equipment parameters and environmental parameters, constructs a system sample parameter set; establishes a mathematical model of the Carnot battery water cycle energy system according to the system sample parameter set, generates multiple scenario trees and performs scenario simplification, and solves to obtain the system optimal configuration parameter set. The present invention models the multi-energy coupling characteristics of the water cycle process of each device in the system planning process, fully reflects the hourly multi-energy coupling dynamic mechanism between the system supply-storage-demand multi-device, multi-pipeline, and multi-energy conversion, realizes the precise planning and design of the hourly dynamic temperature and flow of the Carnot battery water cycle energy system, and improves the stability of the system while reducing the system investment and operating costs.

This application provides a method and apparatus for waste heat recovery from high-temperature solid materials. The apparatus includes a support frame with a rotary heat exchange box mounted on it. One end of the rotary heat exchange box is connected to a power unit, which is fixed to one side of the support frame. A rotating shaft is rotatably mounted on the other side of the support frame and connected to the other end of the rotary heat exchange box. A material fixing device is fixed inside the rotary heat exchange box. In this application, the power unit drives the rotary heat exchange box to rotate at a low speed, which in turn drives the material fixing device to rotate at a low speed. This causes continuous and omnidirectional relative motion and contact renewal between the heat exchange medium and the solid material, thereby achieving dynamic, uniform, and efficient direct contact heat transfer. This fundamentally solves the problems of low heat exchange efficiency and uneven cooling caused by poor contact in static filling.

The invention provides an energy efficiency optimization method and device based on power coupling, and the method is applied to a hybrid power system, and the method comprises the steps: employing a preset energy consumption management optimization algorithm to process the first residual electric quantity of a lithium battery, and obtaining the optimized power and optimized bus voltage of a fuel cell under the first residual electric quantity, the optimized power is power supply power supplied by the fuel cell to the lithium battery; obtaining the first output power of the fuel cell according to the optimized power and the load power of the hybrid power system; performing power decoupling on the first output power by adopting a preset low-pass filter to obtain instruction power of the fuel cell; adjusting the output current of the hybrid power system according to the instruction power; and adjusting the working voltage of the hybrid power system according to the optimized bus voltage. According to different dynamic characteristics of a hybrid power system, the energy management efficiency of fuel cell hybrid power equipment combining a battery and a super capacitor is improved.