227 results about "Flywheel energy storage system" patented technology

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 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 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 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 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 relates to the technical field of power system frequency modulation control, and discloses a collaborative frequency modulation method and system of a hybrid flywheel energy storage system. The method comprises the following steps: constructing a hybrid energy storage array consisting of a power type flywheel array and an energy type flywheel array which are respectively responsible for millisecond-level frequency support and second-level frequency recovery; a double-layer cooperative control structure is designed, the upper layer carries out total power distribution and coordination based on power grid frequency deviation and change rate, and the lower layer carries out instruction execution through speed and current double-closed-loop control; a state manifold design based on a Lyapunov stability theory is introduced; and a self-adaptive gain adjustment mechanism is adopted, flywheel output is dynamically adjusted according to the real-time characteristic of frequency disturbance, and dynamic cooperative scheduling of the two types of flywheels under different time scale frequency fluctuations is achieved. According to the method, the adaptive capacity, the response speed and the control precision of the hybrid flywheel system to complex frequency disturbance are effectively improved, and the frequency stability of a power grid is enhanced.

The invention discloses a charging and discharging control method and system for flywheel energy storage, and belongs to the technical field of flywheels. Wherein the state data comprises power grid parameters, flywheel parameters and electrical parameters; constructing a dynamic loss prediction model of flywheel energy storage based on the state data; grading is carried out according to the emergency degree of power grid power shortage, and a corresponding flywheel control target is matched; and obtaining an optimal charging and discharging power instruction based on the dynamic loss prediction model and the power shortage of the power grid. Through the processing scheme disclosed by the invention, the economical efficiency and reliability of the flywheel energy storage system are remarkably improved while the stability of the frequency of the power grid is ensured, and a key technical support is provided for safe operation of the power grid under high-proportion access of new energy.

The invention provides a power system resource intelligent regulation and control method based on an AI model, and the method comprises the steps: obtaining the structure parameters of a rotor material, a motor type and a bearing form of a flywheel power energy storage system, and the environment parameters of a vacuum degree and a cooling mode, and constructing a multi-dimensional data set of a flywheel operation state; the method comprises the following steps: acquiring fluctuation of power grid frequency and voltage, establishing a mapping relation between power grid disturbance and flywheel charging and discharging power deviation, and incorporating the mapping relation into a flywheel electric energy storage system dynamic model to realize feed-forward compensation of the power grid disturbance and reduce the influence of the power grid fluctuation on trace charging and discharging control; according to the optimized operation condition of the flywheel energy storage system, generating a corresponding micro charge and discharge control instruction, issuing the micro charge and discharge control instruction to a control unit of the flywheel electric energy storage system, and adjusting the rotating speed and charge and discharge power of the flywheel by the control unit according to the received instruction so as to realize micro charge and discharge operation of the flywheel.

The invention relates to the technical field of flywheel energy storage electromagnetic suppression, in particular to an electromagnetic radiation suppression method for a data center flywheel energy storage system, which comprises the following steps: acquiring grounding potential data to generate a response node set, comparing a rotating speed with a power event to construct a synchronous topology, identifying a coupling path to generate a path map, and adjusting a magnetic shielding assembly. And monitoring magnetic flux change to generate an electromagnetic compatibility state report. According to the method, the sudden change potential and the recovery rate of a grounding node are analyzed, response nodes with disturbance characteristics are screened, rotating speed and load power events are fused, multi-source data response mapping in a time domain is constructed, a coupling path is recognized based on a node physical connection relation, and the magnetic saturation trend is recognized by collecting magnetic flux density and hysteresis characteristics. The excitation phase is matched to implement dynamic adjustment, the response adaptability of the shielding assembly is improved, the stability is judged according to the magnetic flux density change rate trend, the reset operation of the shielding structure is controlled, the shielding effectiveness retention is enhanced, and electromagnetic suppression in a dynamic interference scene is achieved.

The invention discloses a flywheel energy storage power station grid-connected operation effect comprehensive evaluation method and system, and belongs to the technical field of electrical engineering and energy storage, and the method comprises the steps: obtaining the operation data of a flywheel energy storage system in real time; based on the operation data of the flywheel energy storage system, on the basis of the flywheel energy storage power station grid-connected operation comprehensive evaluation system, AHP and entropy weight method calculation is executed, and weights of an index layer and a criterion layer in the flywheel energy storage power station grid-connected operation comprehensive evaluation system are obtained; calculating a comprehensive evaluation score of the grid-connected operation effect of the reference flywheel energy storage power station and the target flywheel energy storage power station; and taking the reference flywheel energy storage power station as a reference, performing transverse comparison on the grid-connected evaluation result of the target flywheel energy storage power station, analyzing the evaluation result, and outputting a grid-connected operation effect score and an optimization suggestion. Subjective deviation caused by human factors is avoided, and scientificity and reliability of an evaluation result are remarkably improved.

The invention discloses a hierarchical coordination control method and device for a hybrid energy storage system, and relates to the field of power regulation and control, the method comprises a day-ahead peak regulation step, a real-time frequency modulation step and an SOC recovery step, the day-ahead peak regulation step comprises the steps of determining a target load curve of a power grid, determining a peak regulation demand according to the target load curve, and performing SOC recovery according to the peak regulation demand. Calling at least part of capacity of the energy-type energy storage battery energy storage system according to the peak regulation demand to realize peak regulation operation on the power grid system; the real-time frequency modulation step comprises the sub-steps of calling the residual capacity of an energy type energy storage battery energy storage system, a power type energy storage flywheel energy storage system and a photovoltaic system in real time to realize frequency modulation operation on a power grid system; the SOC recovery step comprises the step of realizing SOC recovery operation of the hybrid energy storage system by coordinating power exchange of the hybrid energy storage system and a power grid system; and systematic coupling modeling between multiple types of energy storage resources and multiple power grid service tasks is realized.

The invention relates to the technical field of motor control in the intelligent power grid industry, and discloses a space vector control method for a twelve-phase permanent magnet synchronous motor flywheel energy storage system, a control circuit of the flywheel energy storage system relates to power electronic components such as various semiconductor field-effect tubes, and the space vector control method is used for high-precision control of a motor. Comprising the steps of S1, twelve-phase space vector decoupling fault-tolerant control, S2, high-order harmonic energy recovery closed loop, S3, quantum annealing parameter optimization layer, S4, flux linkage adaptive observer network construction and S5, 18-dimensional switching vector table construction. According to the scheme, through multi-reference coordinate system transformation and a redundant phase reconstruction algorithm, rapid fault-tolerant response of the twelve-phase motor during a single-phase or two-phase fault is realized, a current path is dynamically recombined during the fault, a negative-sequence current compensation ring is combined, torque ripple is effectively suppressed, and the reliability of the motor is improved under a high-speed charging and discharging working condition. The harmonic distortion rate is detected in real time through the sliding window FFT, the bandwidth of the controller is adjusted, and the problem that the dynamic response of a traditional fault-tolerant strategy is insufficient is solved.

The invention provides an energy management and voltage stabilization control method for a net-forming type flywheel energy storage system, and relates to the technical field of flywheel energy storage. Multi-voltage threshold control is adopted, and the working modes of the flywheel energy storage system are intelligently switched, including a standby mode, a charging mode, an energy releasing mode and a discharging mode, so that suppression of power grid voltage fluctuation and energy management of the energy storage system are optimized. Through the cascade expansion state observer, the disturbance in the system is effectively estimated and compensated, and the self-adaptive capability and robustness of the system to the voltage fluctuation of the power grid are enhanced. The adopted control strategy can effectively cope with large fluctuation and rapid change of the power grid voltage, and the problems that a traditional PI controller is slow in dynamic response and poor in anti-interference capacity are solved. Through the method, the flywheel energy storage system can stably switch working modes and keep stable operation under various power grid working conditions, meanwhile, the charging and discharging process of the energy storage system is optimized, the electric energy quality is improved, and the stability and reliability of a power grid are ensured.

The invention relates to the technical field of hybrid energy storage, and provides a hybrid energy storage frequency modulation multi-objective optimization configuration method and system, and the method comprises the steps: obtaining a power instruction signal of a hybrid energy storage system, and carrying out the dynamic adjustment of an initial power instruction of flywheel energy storage and a flow battery according to a hybrid energy storage output adjustment coefficient, calculating to obtain a power instruction of the flywheel energy storage and the flow battery by combining the rated power of the flywheel energy storage system and the rated power of the flow battery, and calculating to obtain the real-time charge state of the flywheel energy storage and the flow battery by combining the rated capacity of the flywheel energy storage system and the rated capacity of the flow battery; calculating to obtain a responded power grid frequency deviation signal through a generator load model; the weighted sum of the net income, the SOC utilization rate, the load power shortage rate and the frequency variance value is calculated, the maximum weighted sum serves as the target, and optimization is conducted on configuration parameters through the particle swarm optimization. And the configuration economy, the frequency modulation effect and the system stability are ensured.