261 results about "Flywheel energy storage system" patented technology

The invention discloses a computing power load stabilizing and energy-saving management system based on a flywheel energy storage system, and belongs to the technical field of energy storage and management, and the system comprises a data collection module which is used for collecting and calculating a real-time current harmonic spectrum of a cluster and server rack vibration data to generate an electric energy quality characteristic spectrum; the prediction modeling module is used for establishing a prediction model output computing power demand dynamic distribution matrix based on multi-dimensional space-time correlation; the optimization control module is used for analyzing a peak load phase in the power demand dynamic distribution matrix to generate a dynamic coordination control strategy; and the power execution module is used for executing the dynamic coordination control strategy to adjust the phase parameter of the reverse electromotive force of the flywheel so as to offset the voltage harmonic component of the server bus. Harmonic phase compensation is realized through dynamic reverse electromotive force modulation, the calculation load prediction precision can be effectively improved, and the energy utilization efficiency and the equipment operation reliability are remarkably improved.

The invention discloses a flywheel energy storage system control method based on data center photovoltaic power supply, and belongs to the technical field of power system and new energy grid-connected control, and the method comprises the steps: obtaining the output prediction data of photovoltaic power generation, the real-time load power, the voltage fluctuation parameter of a commercial power grid, and the real-time rotating speed state of flywheel energy storage; generating a power gap predicted value by taking the real-time rotating speed state of flywheel energy storage as a dynamic constraint variable; generating a flywheel commercial power cooperative control strategy according to the commercial power voltage fluctuation parameter; the temperature change rate of the flywheel motor is detected in real time, and a control instruction is generated; and synchronously sending the control instruction to the photovoltaic inverter and the flywheel motor, adjusting the parameters of the photovoltaic inverter and the flywheel rotating speed response data, and dynamically updating the control parameter set. According to the invention, a dual adjustment mechanism of flywheel rotating speed dynamic constraint and voltage fluctuation ratio weight distribution is adopted, and a temperature gradient harmonic collaborative suppression strategy is combined, so that millisecond-level power compensation response can be realized, the power grid dependence degree is reduced, and the service life of an energy storage system is prolonged.

The invention relates to the technical field of anti-electromagnetic interference, in particular to an anti-electromagnetic interference method for a flywheel energy storage system of a data center, which comprises the following steps: acquiring change rate data of the rotating speed and the angular speed of a flywheel, judging the attribution of a disturbance interval, recording change characteristics, extracting an interference identifier, comparing the interference identifier with impedance change, and generating a switching node. Frequency response and reflection coefficient characteristics of the filtering unit are detected, a coupling channel generation label is identified, and output fluctuation is evaluated to generate an anti-interference capability state label. According to the method, the surface resistivity of the shielding layer is dynamically switched according to the comparison result of the specific interference triggering identification bit and the signal link impedance change state in each disturbance stage through classification judgment and correlation marking of inertial disturbance, so that the effect of suppressing electromagnetic interference in real time is optimized; the influence degree of electromagnetic interference can be dynamically evaluated in the system operation process, and the adaptability of the energy storage system to the electromagnetic interference is judged and adjusted in real time.

The invention discloses a low-voltage ride-through control method of a flywheel energy storage system, which is based on a low-voltage ride-through control strategy of model predictive current control (MPCC) so as to improve the low-voltage ride-through capability of the flywheel energy storage system when a power grid fails. A future current value is predicted through system modeling and a prediction algorithm, so that effective control is realized. The MPCC-based machine side-power grid side coordination control strategy can quickly respond to the voltage sag of the power grid, provide reactive power support, stabilize the voltage of the direct current bus, and ensure the safe and reliable operation of the flywheel energy storage system during the voltage sag period of the power grid. A traditional pulse width modulation (PWM) technology is abandoned, the optimal switching state is directly selected through a limited control set, and hardware implementation of a power grid side converter is simplified. A differential control strategy aiming at a power grid symmetric fault (three-phase voltage sudden drop) and an asymmetric fault (single-phase grounding) is provided, the method is suitable for a complex power grid fault scene, and the system universality is improved.

The invention relates to the technical field of data center energy management, and discloses a flywheel energy storage system control system for data center computing power load energy recovery, which comprises an energy storage unit, a load monitoring unit, a flywheel control unit and an energy distribution unit. The energy storage unit is provided with a plurality of groups of flywheel energy storage devices capable of charging / discharging; the load monitoring unit monitors load data by covering key nodes of computing power equipment through a power sensor; the flywheel control unit collects flywheel rotating speed and power grid frequency fluctuation data; and the energy distribution unit decides charging and discharging based on load data, establishes a load and frequency coordinated alternating control strategy, and dynamically adjusts and predicts the running state of the flywheel. The system adopts time sequence synchronous control, the energy distribution unit comprises multiple modules, the alternate controller supports dual-mode switching and parameter optimization, and the flywheel unit adopts an annular redundancy or star-shaped concentrated structure. The system realizes efficient recovery of computing power load energy and flywheel energy storage optimization scheduling, and improves the energy utilization rate of a data center and the stability of a power grid.

The invention discloses a state prediction method for a centralized flywheel energy storage system, and belongs to the technical field of power system energy storage, and the method comprises the steps: obtaining the real-time operation parameters of each flywheel unit in the centralized flywheel energy storage system at the current moment; synchronously inputting the real-time operation parameters into a short-time high-frequency processing channel and a long-time trend processing channel for domain division processing, and generating a real-time abnormal probability value and an accumulated degradation index; generating a comprehensive prediction state index based on the real-time abnormal probability value and the accumulated degradation index; and dynamically adjusting an operation control strategy of the energy storage system according to the comprehensive prediction state index. According to the method, the short-time high-frequency processing and long-time trend processing dual-channel domain analysis technology is adopted, the abnormal evaluation parameters are dynamically corrected in combination with the electromechanical coupling model, minute-level accurate prediction of the flywheel health state can be achieved, the service life of equipment is prolonged, and the frequency modulation stability of a power grid is guaranteed.

The embodiment of the invention provides a flywheel energy storage system energy management method and system, electronic equipment and a storage medium. The method comprises the following steps: acquiring flywheel data, power grid data and maximum allowable charging and discharging power in real time; constructing a multi-objective optimization function according to the flywheel data, the power grid data and the maximum allowable charging and discharging power of the flywheel; and dynamically adjusting a weight coefficient of the multi-objective optimization function according to a power grid response effect, and generating an optimal flywheel charging and discharging power instruction in real time by adopting a model prediction control algorithm. According to the embodiment of the invention, through the model prediction control algorithm, the real-time flywheel state and the power grid demand data are combined, the charging and discharging power instruction is dynamically optimized, the charging and discharging switching loss is reduced, and the comprehensive efficiency of the system is improved; flywheel mechanical stress constraint is carried out in real time, flywheel fatigue damage is reduced, and the service life of the flywheel is prolonged; by adding the power grid frequency deviation and the load tracking penalty term, the frequency modulation demand of the power grid can be quickly responded.

The invention relates to the technical field of data center power supply, and discloses a transient voltage treatment control method based on a data center flywheel energy storage system. The method comprises the following steps: firstly, acquiring three-phase voltage, current and frequency signals of a power supply bus of a data center and rotating speed and energy storage power signals of a flywheel energy storage system, and calculating a transient voltage characteristic matrix; then, a dynamic threshold value is quantified, a multi-layer cascade evaluation network structure is constructed to carry out voltage transient evaluation, and energy storage control evaluation parameters are generated; then establishing a transient constraint function, and calculating a dynamic stability boundary of the flywheel energy storage system; and finally, iteratively optimizing energy storage control parameters according to the result to obtain a flywheel energy storage power regulation sequence. Through closed-loop adjustment, energy storage power is dynamically adjusted according to load requirements and voltage deviation, transient fluctuation of power supply bus voltage is effectively treated, and power supply stability and reliability of the data center are improved.

The invention relates to the technical field of data acquisition, and discloses a computing power load power demand data acquisition method based on a flywheel energy storage system. The method comprises the following steps: firstly, acquiring related data of the flywheel energy storage system, and performing classification, database construction and dimension reduction processing; secondly, extracting a load fluctuation mode, calculating power loads in a classified manner, generating power demand parameter characteristics, and automatically matching and acquiring parameter configuration; adjusting a parameter range according to a power grid dispatching demand to generate an acquisition instruction; updating the database, adjusting the load prediction model, judging the applicability of a newly added load mode, and expanding a configuration list; and finally, constructing a visual monitoring interface, encrypting storage data and setting authority control. The method can accurately collect computing power load power demand data, adapts to load dynamic changes, meets the power grid dispatching demand, improves the intelligence, safety and efficiency of data collection, and assists an electric power system in optimized operation.

The invention discloses a power system frequency modulation method and system based on flywheel energy storage auxiliary wind power, a flywheel energy storage system is equivalent to a first-order inertia link, an inertia time constant of the flywheel energy storage system is dynamically adjusted, a virtual damping coefficient is optimized in real time in combination with a fuzzy logic controller, and the stability of power grid frequency is remarkably improved. When the frequency of the power grid fluctuates, the flywheel energy storage system can respond quickly, the frequency modulation power close to the rated frequency can be output in an extremely short time, and the steady-state frequency deviation is strictly controlled in an extremely small range. Meanwhile, the fuzzy logic is used for dynamically correcting the power instruction, and the problem of frequency modulation instruction tracking errors caused by wind power output randomness is effectively solved. Besides, after frequency modulation is finished, the damping coefficient is dynamically adjusted through a fuzzy decision mechanism, the flywheel rotating speed recovery time is greatly shortened, secondary frequency disturbance caused by rotating speed lag is avoided, and the recycling efficiency of flywheel energy storage in a continuous frequency modulation scene is ensured.

The invention relates to the technical field of voltage governance, in particular to a data center transient voltage governance flywheel energy storage system which comprises a disturbance moment identification module, a load sudden change judgment module, a capacity correction distribution module, a scheduling sequence adjustment module and a state change tracking module. And analyzing the voltage curve of the flywheel energy storage monitoring node in each time period. According to the method, the coupling relation between voltage disturbance and load change is synchronously captured through multi-dimensional data, the influence of the server running dynamic state on the flywheel energy state is excavated in real time, the energy distribution structure is adjusted in combination with the friction loss trend, and the flywheel priority is dynamically optimized through load proportion fluctuation and the main loop state. According to the method, node energy fluctuation rapid screening and change tracking are realized, the response strategy of the flywheel energy storage system to short-time voltage disturbance is refined, the pertinence and elasticity of energy storage scheduling in a data center operation scene are improved, and the stability level and risk protection capability of the whole power supply system are enhanced.

The invention belongs to the field of new energy, and particularly discloses a direct-current bus voltage control method and system of a flywheel energy storage system. Comprising the following steps: if DC bus voltage is in a normal range, DC voltage forms a q-axis current reference signal after being adjusted by a PI controller, the q-axis current reference signal generates a q-axis voltage instruction signal after being adjusted by a current control loop PI, and a dq-axis voltage instruction value is generated through decoupling; if the current control loop slightly deviates from the normal range, parameters of a PI controller are adjusted, so that an integration link plays a leading role in control output, a virtual impedance link connected to the current control loop in parallel is adjusted, and a dq-axis voltage instruction value is generated; and if the voltage is seriously deviated from the normal range, a grid-side power signal is fed forward to a machine-side direct-current voltage control loop, virtual resistance in a virtual impedance link is adjusted, and a dq-axis voltage instruction value is generated. According to the invention, the control mode is automatically switched according to different conditions of the DC bus voltage by adopting a threshold-grading regulation and control strategy, and the adaptability to large disturbance is improved while the steady-state precision of the system is maintained.

The invention discloses a subway flywheel energy storage system with a direct-current ice melting function, which comprises a medium-voltage looped network, a contact network, a running rail, a positive bus, a negative bus, a subway rectifier module and a flywheel energy storage module, the subway rectification module is connected with the positive and negative buses. The positive bus is connected with a contact network, and the negative bus is connected with a walking rail; the flywheel energy storage module is connected with the positive bus, the negative bus and the walking rail. The flywheel energy storage module is further connected with the contact net through a circuit breaker QF, and the contact net is connected with the walking rail through a far-end short-circuit switch K3. The invention further discloses an ice melting and energy storage method applying the subway flywheel energy storage system with the direct-current ice melting function. The device has two functions of direct-current ice melting and flywheel energy storage charging and discharging, time division multiplexing is controlled by the two functions through a switch, efficient utilization of equipment is achieved, and the cost performance is improved.

The invention relates to the technical field of flywheel energy storage, in particular to a flywheel energy storage controller for a data center and a control method, and the controller comprises a flywheel rotating speed dynamic regulation and control module, an energy storage and release optimization module, a load balancing evaluation module, a real-time monitoring and feedback module and an overall efficiency evaluation module. According to the invention, energy storage and release can be optimized in real time, the energy utilization rate of the system can be improved, energy storage and release conditions can be accurately judged, control of a driving motor can be optimized, and the driving motor can be timely adjusted and maximized in energy output and storage according to load changes by accurately monitoring the rotating speed of the flywheel and dynamically regulating and controlling the rotating speed of the flywheel; energy conversion efficiency is remarkably improved, energy loss is reduced, stable operation of the system is ensured, a load distribution path is optimized through load balancing, load balance is ensured, control parameters are adjusted through real-time feedback, load matching efficiency is improved, energy consumption is reduced, and the overall efficiency of the flywheel energy storage system is remarkably improved.

The invention discloses a flywheel energy storage system control method for data center computing power load energy recovery, and belongs to the technical field of data center energy management and energy storage control, and the method comprises the steps: obtaining and combining historical and real-time computing power data to generate computing power load data; extracting calculation force load data fluctuation and peak value features to generate feature vectors; analyzing the feature vector by using a prediction model to output computing power load prediction data; energy input and output setting of the flywheel energy storage equipment is optimized according to the prediction data; and adjusting the operation frequency of the flywheel energy storage equipment in real time based on the configuration parameters. Through means of computing power load deep analysis, dynamic trend prediction, energy storage equipment energy optimization, operation parameter feedback control and the like, the method can adapt to the violent change of the computing power load of the data center, capture and utilization of recyclable energy are realized, the operation strategy of the energy storage equipment is optimized, and the energy storage equipment energy utilization rate is improved. And the energy recovery efficiency, the system response speed and the comprehensive energy management efficiency of the data center are remarkably improved.

The invention relates to the technical field of communication anti-interference detection, in particular to a communication anti-interference simulation detection method for a flywheel energy storage system, and the method comprises the following steps: obtaining torque data to generate disturbance characteristics, comparing interference levels, injecting electromagnetic signals, monitoring error code statistics delay errors, and analyzing communication levels to generate a link anti-interference simulation detection result. According to the method, disturbance characteristics are constructed by extracting torque sudden change points, interference frequency band injection is guided, causal linkage of disturbance response and electromagnetic interference is formed, and pertinence and effectiveness of interference injection are enhanced; identifying a bit error rate fluctuation trend and a delay peak value through a sliding window, and realizing dynamic description of a communication quality degradation process; a synchronization error is calculated in combination with an interference spectrum and an error code time point, and the capability of monitoring the consistency change of link time is improved; grade mapping is carried out on the basis of multi-dimensional indexes, the anti-interference performance is converted from static testing to dynamic evaluation, and the testing granularity, adaptability and accuracy are improved.

The invention discloses a flywheel energy storage system fault monitoring method and system based on PCA and iForest algorithms, relates to the technical field of flywheel energy storage system fault monitoring and diagnosis, and aims to realize unsupervised anomaly detection and fault identification of a flywheel energy storage system. According to the method, dimension differences are eliminated by collecting multi-dimensional monitoring data and performing quality control, preprocessing and standardization, and dimension reduction is performed on the multi-dimensional data by using a principal component analysis (PCA) method. And then, fault data is judged by using an isolated forest (iForest) algorithm. The algorithm can be roughly divided into two steps, in the first step, isolated trees need to be trained, and an isolated forest is formed by the trees; secondly, each sample point is substituted into each isolated tree in the forest, the average height is calculated, and finally the abnormal value score of each sample point is calculated; the flywheel energy storage system fault early warning method solves the technical problems that an existing flywheel energy storage system is multiple in fault monitoring data type, large in data size, too long in detection and judgment time and the like, and is suitable for intelligent operation and maintenance and fault early warning of the flywheel energy storage system.

The invention relates to a multivariable system control method based on causal reasoning and reinforcement learning, and the method comprises the steps: collecting the power, the flywheel rotating speed and the temperature of a flywheel energy storage system in the operation process through a multi-sensor group, and carrying out the preprocessing of the power, the flywheel rotating speed and the temperature, and obtaining a standardized feature vector; mining a causal relationship among the power, the flywheel rotating speed and the temperature through a three-layer residual network for the standardized feature vector, and constructing a causal graph; a flywheel kinetic equation is injected into the third-layer residual network; optimizing a control strategy of the flywheel energy storage system by adopting a reinforcement learning algorithm based on the causal diagram; and a cascade fault suppression strategy is adopted to correct the control strategy based on the stability of the flywheel energy storage system, the corrected control strategy is converted into an instruction, the instruction is transmitted to an actuator, and the control strategy is executed. According to the method, the causal missetup rate is reduced, strategy convergence acceleration is accelerated, and the service life of equipment is prolonged.

The invention discloses a flywheel energy storage energy scheduling optimization method and system, electronic equipment and a program, and relates to the technical field of flywheel energy storage, and the method comprises the steps: building a coupling model of a flywheel energy storage system and a power grid system; optimizing the coupling model based on a multi-objective optimization function; solving the multi-objective optimization function based on a particle swarm optimization algorithm to obtain a flywheel energy storage charging and discharging power scheduling scheme; and adjusting the charging and discharging power of the flywheel energy storage system based on the flywheel energy storage charging and discharging power scheduling scheme. Through the processing scheme disclosed by the invention, the grid-connected electric energy quality can be effectively improved, and technical support is provided for large-scale renewable energy source access to a power grid.

The invention discloses an integrated optimization method of a flywheel energy storage system. The corresponding system is formed by connecting a plurality of flywheel monomers in parallel through a direct current bus. The method comprises the steps that the real-time rotating speed, the direct-current bus voltage, the maximum charging and discharging power capacity and a power grid frequency modulation power instruction of each flywheel single body are collected; calculating current stored kinetic energy based on the rotating speed and the rotational inertia of the rotor, and normalizing to obtain an energy state index SoE; a double-layer collaborative architecture is adopted for power scheduling; at the moment of charging and discharging mode switching, the total disturbance of the system is estimated on line through a cascade expansion state observer, and feed-forward compensation is implemented in control output to suppress instantaneous fluctuation of the voltage of the direct-current bus. According to the method, the SoE is obtained by calculating the kinetic energy and normalizing the kinetic energy, so that the accurate representation of the energy storage state is realized; and voltage fluctuation can be effectively suppressed when working conditions suddenly change. The method avoids overcharge and overdischarge of individual units, guarantees high reliability and safety, prolongs the service life of equipment, and is especially suitable for power grid frequency support application in a high-proportion renewable energy access scene.

The embodiment of the invention provides a flywheel energy storage system and an electrical control method and system thereof, and the electrical control method comprises the steps: collecting the operation state data of the flywheel energy storage system in real time, and carrying out the preprocessing of the operation state data; inputting the preprocessed operation state data into a parameter adaptive control algorithm, dynamically adjusting control parameters of the algorithm through fuzzy logic, and generating a control instruction for controlling the power converter; based on the control instruction and the real-time demand of a power grid, cooperatively controlling the output power and the direct-current voltage of the flywheel energy storage system, and when it is detected that the direct-current voltage deviates from a target range, automatically switching an electrical control mode to a voltage stabilization mode for stabilizing the direct-current voltage within the target range; and monitoring the operation state of the flywheel energy storage system in real time, and triggering a protection mechanism when at least one abnormity of overvoltage abnormity, overcurrent abnormity or mechanical fault abnormity is detected.

The invention relates to the technical field of flywheel energy storage, in particular to a stability control method for a magnetic suspension flywheel energy storage system with time delay feedback. Determining axial bearing capacity and radial bearing capacity demand parameters of the flywheel energy storage device based on gravity and impact load of the flywheel rotor and centrifugal force and unbalanced force generated during high-speed rotation; according to the bearing capacity demand parameters, U-shaped stator structure design is carried out on the axial electromagnetic bearing, an inner ring and outer ring magnetic pole equal-area structure is adopted, the axial electromagnetic bearing is made of electrical pure iron, octupole electromagnetic bearing design is carried out on the radial electromagnetic bearing, and a stator and a rotor are made of silicon steel sheets formed through pressing; and carrying out temperature field distribution simulation analysis on the axial electromagnetic bearing and the radial electromagnetic bearing by adopting a bidirectional coupling mode of an electromagnetic field and a temperature field. The method further comprises the steps that an auxiliary bearing protection system is arranged, differential working mode control is adopted, and dynamic adjustment of the bearing capacity of the electromagnetic bearing under different working conditions is achieved by adjusting bias current and control current.

The invention relates to the technical field of power system operation monitoring and control, and provides a coordination control method of a wind storage combined black-start power supply based on inertia response. According to the method, a wind generating set and a flywheel energy storage system are configured to be black-start power supplies, a virtual inertia time constant and a power demand are calculated by monitoring power grid frequency deviation in real time, and the flywheel array action depth is determined. The power output of the flywheel array is controlled by adopting a hierarchical control strategy, the charging and discharging state of the wind storage system is adjusted according to the frequency change, the SOC state of the flywheel energy storage system is monitored in real time, and the SOC is balanced by utilizing a Nash bargaining solution negotiation algorithm. In the black-start process, the power output of the wind storage system is dynamically adjusted according to the frequency, and the two cooperate to maintain the power grid frequency stable. The method effectively solves the problems of power grid black start and frequency stability under the high proportion of new energy power generation, prevents energy storage from being overcharged and overdischarged, improves the power grid black start success rate and operation stability, and promotes the efficient utilization of new energy.

The application provides a magnetic suspension flywheel energy storage system, which comprises a magnetic suspension bearing, a flywheel and a motor arranged in sequence from top to bottom. The magnetic bearing with 5 degrees of freedom is arranged on the upper end of the flywheel rotor. The upper end stator of the magnetic bearing is provided with 4 upper layer stator teeth and 4 lower layer stator teeth. The circumferentially adjacent upper layer stator teeth and lower layer stator teeth are staggered by 45 degrees. The circumferentially adjacent upper layer stator teeth and lower layer stator teeth are staggered by 90 degrees. The upper layer stator teeth and the lower layer stator teeth are equal in size and large in pole shoe part. The lower surface of each upper layer stator tooth or lower layer stator tooth extends downward by an axial stator tooth, and there are totally 8 axial stator teeth. Each stator tooth is provided with a control coil. The axial magnetized annular magnetic bearing permanent magnet is arranged between the upper end stator and the lower end stator. The lower end stator is in the shape of L and is annular, which is used for fixing the magnetic bearing permanent magnet. The application realizes the control of the 5 degrees of freedom of the flywheel rotor, and is simple in structure and easy to process and install.

The invention discloses a hardware-level energy storage collaboration and overload protection system for a multi-power charging pile, and solves the problems that an existing charging pile classification system only supports a single type of energy storage batteries, cannot respond to high-power-level (160kW) fast charging instantaneous impact, is not bound with dynamic matching logic of the power level and the energy storage type of the charging pile, and cannot respond to the high-power-level (160kW) fast charging instantaneous impact. In order to solve the problems that the service life of an energy storage battery is attenuated and accelerated due to the fact that a single energy storage mode cannot meet high-power (160kW) fast charging instantaneous impact, and the response delay time is relatively long due to the fact that hardware level binding of a charging pile power level and an energy storage type is not established, a flywheel energy storage system and an energy storage topology module form a composite energy storage topology form; the load peak value of the power grid can be effectively buffered, effective distribution is carried out in cooperation with a two-stage priority load reduction mechanism, and high-response and fast-recovery continuous power supply is guaranteed.

The invention discloses an island micro-grid frequency coordination control method based on flywheel and battery hybrid energy storage, and provides a hybrid energy storage coordination control method for solving the problem that a diesel generator in an island micro-grid is low in inherent response speed and difficult to deal with rapid load disturbance in time. The method combines the advantages of a flywheel energy storage system (FESS) and a battery energy storage system (BESS) to construct a multi-time-scale frequency regulation mechanism: the FESS is responsible for absorbing or releasing a high-frequency power component and quickly responding to instantaneous fluctuation; the BESS bears an intermediate-frequency power component and realizes medium-term energy regulation; and the diesel generator compensates the low-frequency power component and maintains long-term steady-state operation. Through the multi-unit collaborative hierarchical control, the frequency stability and the operation reliability of the island micro-grid are remarkably improved, the dynamic regulation pressure of the diesel engine is reduced, and the frequent charge-discharge cycle of the battery is reduced, so that the service life of the energy storage system is prolonged.

The invention relates to the technical field of electric power energy storage, and particularly discloses a computing power load electric power demand data calculation method based on a flywheel energy storage system, which comprises the following steps: acquiring real-time computing power load data of a data center server through data center monitoring equipment, and analyzing and calculating the computing power load data to obtain the computing power load of a processor; calculating to obtain a comprehensive calculation force load value by combining the calculation force load of the processor; a power demand model of the server is established based on the comprehensive calculation force load value and the environmental parameter comprehensive analysis result of the server, and a power demand value is obtained through analysis; based on the obtained power demand value, a demand change gradient is obtained through analysis, and power demand data of the flywheel energy storage system is obtained through comprehensive analysis; and optimizing and adjusting the power demand data of the flywheel energy storage system according to the dynamic change of the power demand value in combination with the environment temperature compensation function.

The invention relates to the technical field of data center energy storage, and discloses a data center flywheel energy storage system and method based on an LCL filter, and the method comprises the steps: collecting a power grid side current signal, decomposing a harmonic component, and dynamically adjusting the parameters of the LCL filter to suppress harmonic waves; determining and executing a charging and discharging control strategy according to the direct-current bus voltage and the flywheel rotating speed; flywheel vibration and acceleration are monitored in real time, operation stability is evaluated, and a control strategy is corrected; and the harmonic suppression effect is optimized by combining rotating speed feedback and voltage data compensation filter parameters. The system comprises a harmonic suppression module, a charge and discharge control module, a stability evaluation module and a filtering parameter optimization module. Through multi-parameter dynamic adjustment and multi-module cooperative control, composite suppression of power grid harmonics and accurate adjustment of the flywheel energy storage state are achieved, the system operation stability and the filtering effect are improved, and the method is suitable for a data center energy storage scene.

The invention provides a flywheel energy storage system with an electromagnetic coupler, which comprises a motor, a flywheel rotor, the electromagnetic coupler, a frequency converter and a generator, and is characterized in that the motor is connected with the flywheel rotor to drive the flywheel rotor to rotate, the electromagnetic coupler comprises an outer rotor and an inner rotor, and the outer rotor sleeves the inner rotor and is spaced from the inner rotor; the flywheel rotor is in transmission connection with the inner rotor, the inner rotor generates a rotating magnetic field to drive the outer rotor to rotate, and the frequency converter is connected with the outer rotor to change the current frequency of the outer rotor so as to change the magnetic field rotating speed matched with the current, so that the mechanical rotating speed of the outer rotor is kept constant. The generator generates power, accesses the power grid and inputs electric energy with stable frequency into the power grid, the requirement of power transmission to the power grid is met, power electronic devices are not needed, rotational inertia in the power grid can be improved, necessary voltage and frequency support is provided for the power grid, and the capacity of the power grid for efficiently accepting new energy is improved.

The invention provides a flywheel energy storage system and a fire storage combined frequency modulation energy storage system. The flywheel energy storage system comprises a plurality of flywheel energy storage units, a plurality of bidirectional power regulation systems and an energy management master control system. The flywheel energy storage units which are high in response speed, high in gradeability and flexible in power output serve as quick response energy storage to improve the primary frequency modulation performance index, the online rate of the energy storage system is improved through the arrangement of the multiple flywheel energy storage units connected in parallel, it is guaranteed that the frequency modulation requirement can still be met when a single flywheel energy storage unit is shut down and overhauled, and the service life of the flywheel energy storage units is prolonged. And meanwhile, a bidirectional power regulation system and an energy management master control system are combined to realize a whole set of array control technology, so that the flywheel energy storage system is effectively ensured to respond to a primary frequency modulation instruction of a unit step by step.