34 results about "Power correction" patented technology

This application provides a method, electronic device, and storage medium for online power monitoring of photovoltaic modules. The method includes: constructing verification conditions; determining a valid test time based on pre-established verification conditions (string operating status verification, irradiance integer value verification, and irradiance stability verification); real-time power correction of the module based on the measured irradiance and cell temperature at the valid test time; determining the online power test value based on the corrected power value under the same integer irradiance reference value; when the integer irradiance reference value reaches a preset high irradiance threshold, correcting the online power test value to standard test conditions to obtain a comparable online power test value; determining the current control reference for the current test cycle based on its corresponding factory power correction value; and updating the dynamic iterative control reference based on the current control reference and historical control references to perform power anomaly monitoring. This application achieves accurate online testing and anomaly identification of photovoltaic module power.

This invention proposes a fast frequency control method and device for wind-solar-storage power stations, belonging to the field of fast frequency and active power control technology for new energy power stations. The method includes: at the arrival of each sampling period, updating the active power target values ​​of wind turbines, photovoltaics, and energy storage based on whether the grid connection frequency of the wind-solar-storage power station is outside the upper and lower limits of the frequency warning and the active power regulation capabilities of wind, solar, and energy storage, reserving the maximum active power regulation capability of photovoltaics and energy storage; calculating the total active power regulation of the wind-solar-storage power station based on whether the grid connection frequency is outside the upper and lower limits of the frequency and the active power frequency droop curve function; updating the active power target values ​​of wind turbines, photovoltaics, and energy storage based on the active power regulation demand and the active power regulation capabilities of photovoltaics and energy storage; and performing active power correction for energy storage and photovoltaics when the fast frequency response time arrives. This invention can utilize the fast active power regulation capabilities of photovoltaics and energy storage to compensate for the capacity loss due to the inability of wind turbine active power regulation to be implemented on time, restoring the fast frequency response capability of the power station.

This application discloses a method and system for predicting wind turbine icing power based on sensitivity and hyperbolic residuals, belonging to the field of wind power generation technology. The method includes: collecting wind turbine datasets; calculating theoretical ice-free power based on blade element momentum theory; obtaining weighted equivalent ice thickness from the wind turbine dataset using a pre-calibrated sensitivity function, and constructing a power correction model based on the theoretical ice-free power to obtain the corrected power; fitting the residual between the observed power and the corrected power using a generalized hyperbolic distribution; constructing a state-space model and updating the parameters of the state-space model based on a particle filter algorithm incorporating physical consistency constraints; outputting the final power prediction value based on the determined parameters of the state-space model, and calculating the uncertainty confidence interval and icing risk probability index; improving the accurate characterization of asymmetric ice layers, making the confidence interval coverage of the state-space model more accurate when predicting extreme icing events, and enhancing robustness.

This application discloses a temperature control method and related apparatus. First, it acquires the current operating data of the crystal furnace. Then, based on the current operating data and a first prediction model, it determines the timing for shutting down the low-level heater. Furthermore, by predicting the timing for shutting down the bottom heater, it controls the bottom heater, resulting in better temperature control. Next, based on the current operating data, a second prediction model predicts the first time interval for the solution percentage in the crystal furnace to reach a second preset threshold. Then, based on the first time interval and the current operating data, the prediction model predicts the power correction amount for the main heater. Finally, based on the power correction amount, it controls the main heater to ensure consistent liquid temperature after temperature control. Therefore, it achieves better consistency in liquid temperature after temperature control, realizes standardized temperature control of the crystal furnace, and improves the accuracy of temperature control.

The application discloses a kind of first monitoring and grid point voltage and station reactive power, reactive power output value is calculated by reactive power voltage regulating coefficient, and instruction is issued to power station reactive power equipment;Again, real-time voltage and station reactive power of re-monitoring grid point, real-time voltage is in voltage regulation dead zone, then dynamic voltage regulating reaches target value, no longer carries out voltage regulating;If grid point voltage is still outside grid point voltage regulation dead zone, then according to the real-time voltage and station reactive power of monitoring, correct reactive power voltage regulating coefficient, with corrected reactive power voltage regulating coefficient, carry out dynamic voltage regulating again by droop curve, until voltage regulation is in dead zone range.The improved droop regulation of closed loop verification retains the rapidity of open loop droop regulation, and also has the accuracy of closed loop regulation.In the process of voltage regulating, by controlling the number of closed loop feedback, the problem of adjustment oscillation can be effectively prevented to solve the problem of existing dynamic voltage regulating not in place.

The application discloses a maximum power correction method of an energy storage unit and a related device, relates to the technical field of energy storage, and comprises the following steps: acquiring state data of each battery cell in at least one energy storage unit in an energy storage system, determining the cell difference degree of the energy storage unit according to the state data of each battery cell in the energy storage unit, correcting the state of charge of the energy storage unit according to the cell difference degree of the energy storage unit, obtaining the accurate state of charge of the energy storage unit, determining the accurate maximum power corresponding to the environment temperature and the corrected state of charge of the energy storage unit based on the mapping relationship among the environment temperature, the state of charge and the maximum power, correcting the maximum power of the energy storage unit, and improving the accuracy of determining the maximum power of the energy storage unit.

The application relates to the field of wireless communication, in particular to a wireless communication intelligent anti-interference method and system based on artificial intelligence, which comprises the following steps: collecting a sending signal value sequence of any radio transmitting equipment, collecting a receiving signal value sequence with a label of any radio transmitting equipment; obtaining an interference process, calculating an interference weight of an interference equipment on a target equipment according to the sending signal value sequence and the receiving signal value sequence, so as to calculate a transmitting power adjustment coefficient of the target equipment in a detection process; taking the product of the transmitting power adjustment coefficient and a preset transmitting power value of the target equipment as a transmitting power correction value of the target equipment, returning the transmitting power correction value to the target equipment for real-time transmitting power adjustment of a radio frequency signal, and completing communication anti-interference. Through the technical scheme, the precision of a wireless communication anti-interference result can be improved.

The application provides a vehicle energy consumption prediction method and device, an electronic device and a storage medium, wherein the method comprises the following steps: obtaining a target predicted residual power of a power battery of a vehicle and a target predicted consumed power of the vehicle when the vehicle arrives at a destination from a specified position, which are determined at a last time; determining target residual power correction logic according to the target predicted residual power and the target predicted consumed power; obtaining a current actual residual power of the power battery at a current time; predicting a current predicted residual power of the power battery when the vehicle arrives at the destination based on the current actual residual power and a remaining route of the vehicle from a current position to the destination; and updating the target predicted residual power by the current predicted residual power when it is determined that the current actual residual power and the current predicted residual power meet the target residual power correction logic. Through the application, the technical problem of poor accuracy of vehicle energy consumption prediction in the related art is solved.

A frequency and power modulation radio frequency (RF) generator includes a first frequency and power modulation RF generator including a signal generator configured to generate an RF signal, an amplifier configured to amplify power of the RF signal from the signal generator, and a phase controlled power correction (PCPC) circuit configured to control a phase of the RF signal amplified by the amplifier. The signal generator, the amplifier, and the PCPC circuit are controlled to perform multi-level pulsing and frequency modulation on the RF signal, thereby supplying RF power of the RF signal to a chamber. The multi-level pulsing has pulse forms with different power levels.

This invention discloses a sludge pretreatment method and system, belonging to the field of sludge treatment technology. The method includes: determining a target torque value; acquiring the outlet sludge temperature, influent sludge flow rate, influent sludge concentration, and real-time torque value; calculating a power correction amount if the torque value is greater than the target torque value; acquiring an allocation weighting factor based on the above data, and then acquiring the allocated power for ultrasonic and microwave treatments; if the outlet sludge temperature is within a preset first and second temperature threshold range within a preset time period, acquiring and issuing control commands for each device, and re-acquiring the outlet sludge temperature and real-time torque value; if the torque value is equal to the target torque value and the outlet sludge temperature is within the preset first and second temperature threshold range within the preset time period, the sludge pretreatment is completed. Therefore, by implementing this invention, the problem of inaccurate coordinated control of ultrasonic and microwave technologies, leading to unstable sludge treatment effects, can be avoided, achieving efficient pretreatment of sludge from wastewater treatment through the synergistic effect of ultrasonic and microwave technologies.

This invention discloses a charging pile system and its control method based on flywheel energy storage. First, it comprehensively collects key parameters from the power grid, flywheel energy storage status, electric vehicle demand data, and environmental and equipment status. Through high-frequency sampling and real-time updates, a complete data support system is constructed. Then, based on the collected data, load prediction is achieved through historical-real-time fusion modeling and an LSTM model, and the flywheel energy storage capacity is evaluated to accurately determine the supply-demand balance between the power grid, flywheel, and charging demand. Based on this, this invention, through the fusion application of multi-dimensional real-time data acquisition and an LSTM load prediction model, along with a dynamic power correction mechanism, has the advantages of enabling early perception of changes in power grid load and charging demand, rapid response to supply-demand fluctuations, avoiding abnormal fluctuations in power grid voltage / frequency, and ensuring the stability of power grid operation.

A power auxiliary service providing method and system considering new energy prediction error. The method calculates the total cost of frequency modulation auxiliary service based on the clearing price and the winning capacity of the frequency modulation in the thermal power unit, calculates the allocated frequency modulation auxiliary service fee of the power generation side and the user side based on the total cost of the frequency modulation auxiliary service and the on-grid power of the power generation side and the user side, calculates the allocated peak shaving auxiliary service fee and the allocated standby auxiliary service fee of the power generation side and the user side based on the power correction coefficient, constructs a characteristic function based on the prediction error, quantifies the excess function according to the characteristic function, solves the excess function by using the kernel method, and forms a new energy auxiliary service fee allocation scheme. The scheme improves the fairness, accuracy and stability of the power auxiliary service fee allocation mechanism.

The application discloses a kind of wisdom micro-grid energy management systems, including edge computing layer completes data preprocessing, photovoltaic ultra-short term power correction and non-invasive abnormal event screening, output standardized data and feature message;Cloud layer is with physical information neural network to build digital twin engine, adopts layered depth reinforcement learning collaborative optimization: upper layer depth reinforcement learning intelligent agent generates coarse scheduling target with 15 minutes as period, lower layer model predictive controller is fine allocation with 1 minute as period, deviation overrun instant redetermination;Non-invasive load decoupling realizes flexible load classification under privacy protection;Electric hydrogen coupling collaborative module updates optimal efficiency operating condition parameters in real time according to twin model and injects constraint.The application deeply fuses digital twin endogenous correction and multi-time scale optimization, can adapt to source and load fluctuation and equipment characteristic drift, significantly improve micro-grid operation economy, power supply reliability and carbon emission reduction benefit.

The application relates to a non-uniform partition thermal network modeling method based on temperature gradient prior information, comprising the following steps: acquiring prior temperature gradient information of a power device chip surface; based on the prior temperature gradient information, a plurality of physical partitions with non-uniform areas are obtained by partitioning the power device chip surface; a non-uniform partition thermal network topology is constructed in combination with the number of parallel power device chips; an overload compensation electro-thermal coupling iterative power correction model is constructed, and the output is a partition iterative correction loss power; temperature field data of the power device chip is iteratively solved based on the partition iterative correction loss power, and the transient temperature distribution and the highest junction temperature of the power device chip are obtained based on the temperature field data. Through the construction of the overload compensation electro-thermal coupling iterative power correction model, the output is the partition iterative correction loss power; the power loss change under different load conditions can be dynamically adapted, and the temperature prediction deviation problem caused by the fixed partition and static parameters of the traditional modeling can be effectively solved.

This invention discloses a multi-port hybrid distribution transformer power coordination hierarchical control method and system, relating to the field of power equipment control technology, including the following steps: S1, the central system control layer establishes a system optimization objective function based on the control objective and distribution system operation data and sets constraints; S2, the central system control layer linearizes the system optimization objective function in combination with the constraints to obtain active power reference values ​​and reactive power reference values ​​for each port and generates power reference commands; S3, the power coordination optimization layer collects real-time operating parameters of each port, constructs a multi-port power coordination control model, and uses a model predictive control algorithm to dynamically correct the power reference commands in real time, obtaining the optimal correction amount and generating power correction commands; S4, the port execution layer generates the final power commands for each port based on the power reference commands and power correction commands, and uses the final power commands for each port to control the corresponding ports.

The application provides a water, wind, light, storage, source, network, load, and coordination scheduling method and system. The initial state and boundary conditions of each device group are determined according to real-time working condition data and prediction data. The medium and long-term core balance device and the multi-time scale coordination scheduling strategy for coping with the minute-level fluctuation core are determined based on the initial state, boundary conditions, and working condition differences. The fluctuation of the instability of the power and load demand of the wind and light station is analyzed based on the prediction data and the preset safety threshold, and the maximum fluctuation range of the target power system is obtained. The safety adjustment of the coordination scheduling strategy is performed with the maximum fluctuation range as the constraint. The power adjustment of the energy storage device and the adjustable load is performed on the minute-level scale based on the adjusted coordination scheduling strategy, and the safe auxiliary power correction of the hydroelectric generating set is controlled. The scheme of the application can resist the uncertainty of the source and load and perform safe and rapid coordination scheduling of water, wind, light, and storage under multi-time scale.

This invention relates to a method for calculating the target power of a vehicle under normal operating conditions based on a wide-range operating condition classification, with demand torque as the criterion. T R The actual speed of the engine or generator n a Based on the basic parameters, combined with the system loss power correction value corresponding to the temperature. K 1. Engine or generator speed correction value corresponding to air pressure K 2. Construct the target required output power P O The calculation model yields the target required output power of the power system under normal operating conditions. P O , wherein K 1. Based on the ambient temperature within the normal operating temperature range t Adaptive matching calculation, the K 2. Standard atmospheric pressure based on zero altitude area P v Utilizing altitude under normal operating conditions h Atmospheric pressure corresponding to altitude P ac The linear variation characteristics are adaptively matched and calculated based on the actual altitude.

The application provides a PFC power supply control system and method based on double closed-loop control, which identifies overshoot or drop trend of voltage loop output in switching process by monitoring running state data of double closed-loop control circuit in PFC power supply; determines dynamic response delay of current inner loop in working condition switching process according to reference signal of current inner loop and change rate of load current during power correction; compensates error signal of voltage loop output based on dynamic response delay and overshoot or drop trend, generates loop control parameter suitable for working condition switching process; adjusts reference amplitude of voltage loop output to current inner loop according to loop control parameter when switching working condition, so as to control dynamic response of PFC power supply. The application can realize time-varying saturation constraint of voltage loop based on dynamic response delay and overshoot trend, thereby improving dynamic response performance of PFC power supply in working condition switching.

The invention relates to the technical field of network construction type converters, and discloses a network construction type energy storage converter control method, device, equipment and medium, and the method comprises the steps: obtaining a power grid impedance parameter and charge state data of each energy storage unit through monitoring and converting three-phase voltage and current signals of a grid-connected point, generating a virtual impedance compensation voltage and a power correction signal; and the reference voltage is superposed to a basic voltage reference of the virtual synchronous generator to form a corrected reference voltage. And then a modulation signal is generated by adopting voltage outer loop-current inner loop double closed loop control to drive a converter to output, so that self-adaptive adjustment and balanced distribution of active power of each parallel energy storage unit are realized. In a weak power grid environment, the voltage supporting capability and the dynamic stability of the system can be improved, and the over-discharge of the SOC unit in the low state of charge is avoided.

A method and an apparatus are provided in which a first signal is received at a bi-directional coupler of an antenna path. A first power, delivered to an antenna of the antenna path, is measured based on a second signal corresponding to a forward signal provided from the bi-directional coupler to the antenna and a third signal corresponding to a reverse signal reflected back to the bi-directional coupler from the antenna. A power correction value is determined based on a ratio of the second signal to the third signal and a one-to-one relationship of the ratio to a load reflection coefficient of the antenna. A second power delivered to the antenna is determined based on the first power and the power correction value.

The present application relates to the technical field of microporous filtration membrane, and particularly relates to a production control system of a microporous filtration membrane based on polytetrafluoroethylene, which comprises an acquisition module, an adjustment module, a correction module, an updating module and an early warning module. The present application actively compensates for the unevenness of the base band by adjusting the draw ratio, pre-corrects the calendering deviation before longitudinal extension, further introduces the quality deviation degree to correct the transverse stretching heating power, and reversely optimizes the power correction coefficient and the mixing ratio through the threshold comparison and stability analysis of the adjustment index and the correction index, so as to realize the closed-loop setting of the front-end formula parameters from the performance of the rear section, and trigger the hierarchical early warning based on the double-exponential deviation degree, thereby effectively overcoming the problems that the microporous structure uniformity of the finished filter membrane is poor, the air permeability performance fluctuates greatly and the yield of large-scale production is difficult to guarantee due to the open-loop decoupling of the process parameters and the lack of feedforward adaptive adjustment.

This invention relates to the field of explosion-proof lighting fixtures, and discloses an intelligent control method, device, equipment, and storage medium for explosion-proof lamps. The method enables safe control and intelligent dimming of explosion-proof lamps. The method includes: when receiving first feedback information indicating the presence of biological activity, switching the explosion-proof lamp from a low-power maintenance mode to a working mode; if the real-time temperature of the outer casing exceeds a preset safe temperature threshold and the rate of temperature change of the outer casing is positive, calculating a feedforward power correction value based on a thermal resistance series model and the natural convection heat transfer equation of the sealed cavity; using the difference between the real-time temperature of the outer casing and the preset safe temperature threshold as an error signal, calculating the feedback power correction value using a proportional-integral controller, and generating a gradual dimming command to stabilize the outer casing temperature below the preset safe temperature threshold; when receiving second feedback information indicating the disappearance of biological activity, generating a standby command to control the explosion-proof lamp to switch back to the low-power maintenance mode.

The application discloses a kind of network type diesel storage power supply system power-phase collaborative control method and system, including dynamic power correction and dynamic phase correction two components, dynamic power correction part is calculated power compensation item by load power and diesel generator reference power, real-time adjustment is carried out to energy storage unit reference power using power compensation item, so that energy storage unit quickly releases and absorbs load dynamic power, reduce diesel generator power fluctuation, realize diesel generator reverse power effective inhibition;Dynamic phase correction part is calculated phase compensation item by load power and angular frequency, real-time compensation is carried out to energy storage unit output phase using phase compensation item, realize system low-frequency power oscillation effective inhibition.The application realizes the collaborative inhibition of network type diesel storage power supply system reverse power and power oscillation under impact load, guarantees the safe and stable operation of system.

The application relates to the technical field of battery power MAP construction, in particular to a battery power MAP construction method based on a physical model and key point testing, which comprises the following steps: selecting key testing points; applying different rate pulses at any key testing point of a battery to serve as a kind of working condition respectively; acquiring current sequences and voltage sequences of the battery at each collection moment under each working condition; obtaining basic power values of the battery under each working condition; calculating the concentration polarization resistance degree and low SOC power correction coefficient of each collection moment under each low SOC working condition; correcting the basic power values under the low SOC working condition by using the low SOC power correction coefficient; and constructing a two-dimensional power MAP of the battery based on the power values under all working conditions, in combination with Arrhenius coordinate transformation and interpolation fitting. The application aims to improve the precision of the battery power MAP under extreme working conditions such as low temperature and low SOC.

This invention discloses a secondary power optimization strategy for hybrid energy storage systems based on fuzzy control. Specifically, the battery's State of Charge (SOC) is first divided into five operating zones—over-discharge zone, over-discharge warning zone, normal operating zone, overcharge warning zone, and overcharge zone—using six boundary points. Then, a fuzzy controller is designed, taking the battery's SOC and its primary power command changes as inputs and a power correction coefficient as output. Based on the correction coefficient output by the fuzzy controller, the primary power command is adaptively adjusted to generate an optimized secondary power command. This secondary power optimization strategy for hybrid energy storage systems considers overcharge and over-discharge protection. By introducing fuzzy control and an adaptive strategy, the SOC of the energy storage device is maintained within the desired range of 0.3 to 0.8, significantly improving the charge-discharge balance of the hybrid energy storage system, optimizing the depth of charge-discharge, reducing the number of charge-discharge switching cycles, and extending the battery's lifespan.

The present application relates to a nuclear power correction factor automatic calculation method, device, medium and equipment, including the following steps: judging whether to start the correction factor calculation according to the trigger condition; obtaining the heat balance test report of KME and performing validity condition I judgment; calculating K nNEW and K nLSS , and performing validity condition II judgment according to the calculation result; calculating the current expected nuclear power of each channel, and performing validity condition III judgment according to the current expected nuclear power and the real-time nuclear power of each channel; judging whether to end the current calculation, if yes, determining K nNEW valid and ending the current calculation, if not, returning to continue calculation. The present application fundamentally solves the human error problem, significantly improves the reliability, and also improves the calculation efficiency, greatly shortens the calculation time.