391 results about "Virtual inertia" patented technology

The invention relates to the technical field of intelligent control of a power system, in particular to a photovoltaic power generation-energy storage-power grid intelligent scheduling method and system based on multi-mode energy management, and the method comprises the steps: 1, collecting and fusing multi-source operation data in real time; 2, establishing a multi-modal feature fusion model; 3, according to the photovoltaic fluctuation amplitude and the frequency deviation component, the energy storage adjusting capacity is formed; 4, constructing a differential control strategy for each mode, and achieving the dynamic matching of the virtual inertia and the power grid demand in the power grid supporting mode; and step 5, executing multi-time scale rolling optimization control, triggering strategy reconstruction according to mode switching, and maintaining power continuity among different modes through a transition process. According to different modal requirements, differentiated control strategies are adopted, so that the service life loss of the energy storage system can be reduced and the service cycle of the energy storage equipment can be prolonged while the energy storage system is ensured to quickly respond to the power grid requirement.

The invention discloses a network construction type energy storage capacity optimal matching method based on a frequency response model, and belongs to the technical field of gas turbine power plant financial supervision and artificial intelligence, and the method comprises the steps: S1, quantifying the power vacancy of a typical station under an extreme short-circuit fault, determining a virtual inertia constant and a virtual droop coefficient of network construction type energy storage, and carrying out the calculation of the virtual inertia constant and the virtual droop coefficient; setting an initial output coefficient and adjusting a step length; s2, constructing and integrating a system frequency response model based on the inertia and frequency modulation characteristics of the conventional unit, the wind turbine generator and the network construction type energy storage; s3, applying power disturbance to the system, gradually increasing an initial output coefficient and performing simulation, and recording the maximum frequency deviation, the maximum frequency change rate and the quasi-steady-state frequency deviation; and S4, when the maximum frequency deviation, the maximum frequency change rate and the quasi-steady-state frequency deviation are respectively smaller than or equal to set threshold values, the energy storage capacity proportion corresponding to the current initial output coefficient is the optimal proportion. According to the method, the problem of accurately measuring the optimal configuration proportion of the network construction type energy storage in the new energy station is solved.

The invention discloses a network construction type inverter for a photovoltaic energy storage system and a virtual synchronous machine control method. The network construction type inverter comprises an inverter power module and a central controller. The central controller is used for collecting power grid operation data in real time and generating a power grid impedance state vector through online impedance identification; and dynamically adjusting virtual inertia and damping parameters of the inverter power module according to the impedance state vector by using an adaptive mapping function so as to realize cooperative control and circulating current suppression between the modules. Performing stability boundary evaluation based on the adjusted parameters, then performing intelligent early warning of the photovoltaic energy storage system, and smoothly switching the operation mode of the inverter power module; according to the invention, through deep integration of a modular hardware architecture and intelligent adaptive control, the inverter has strong autonomous network construction capability, the problems of weak power grid adaptability and transient stability are effectively solved, and the dynamic response and reliability of a photovoltaic energy storage system are improved.

The invention provides an electric energy storage power station virtual inertia optimization method considering inertia space-time distribution characteristics, and the method comprises the steps: carrying out the virtual inertia optimization of an electric energy storage power station under the scene of considering the non-uniform inertia distribution of an electric power system under the high-proportion new energy access; constructing a source measurement frequency response characteristic model considering load power mapping and a load node frequency response characteristic model considering source measurement frequency mapping; the system small interference stability based on the characteristic root method is used as a frequency safety constraint condition; taking the minimum inertia and frequency modulation energy of the energy storage power station as a target, considering the physical constraint, the frequency security constraint and the system stability constraint of the energy storage power station, and proposing a network tracking / constructing energy storage power station inertia coordination optimization strategy considering the frequency dynamic space-time distribution; wherein the objective function is that the sum of the integral quantity of the load node frequency deviation and the inertia kinetic energy of the following / constructing network energy storage power station is minimum. According to the method, aiming at the characteristic of frequency space distribution differentiation in a novel power system, it is ensured that all nodes can meet double security constraints of frequency deviation and frequency change rate.

The invention discloses an electric energy and inertia combined clearing method and system considering new energy virtual inertia, and relates to the technical field of electric power system dispatching automation, and the method comprises the steps: obtaining data, forming a calculation scene, evaluating a system inertia demand and a droop factor demand based on the calculation scene, and obtaining a clearing result according to an evaluation result. The method comprises the following steps: constructing an all-time electric energy and inertia combined clearing model, solving electric energy bid-winning output and inertia bid-winning quantity of each time period, dynamically adjusting a demand value, establishing a single-time electric energy and inertia combined pricing model based on a solving result of the all-time combined clearing model, and solving node prices of electric energy and inertia of each time period. And outputting the unit output, the on-off state, the inertia standard, the line blocking condition and the node price of each time period. According to the invention, by acquiring multi-source data to form a calculation scene, evaluating inertia and droop factor requirements, constructing a full-time joint clearing model and establishing a single-time pricing model, collaborative optimization configuration and pricing of electric energy and inertia resources are realized.

The invention relates to a multi-energy collaborative intelligent micro-grid control method, device and equipment and a medium. According to the method, a micro-grid frequency signal is collected in real time, the change rate of the micro-grid frequency signal is calculated, the inertia requirement of a system is accurately evaluated, the maximum virtual inertia capable of being provided by each unit is dynamically calculated in combination with the physical characteristics and operation constraints of each energy unit, and the system requirement and the unit capacity are dynamically matched through grey correlation analysis to generate an optimal distribution scheme. And then the special control models of all the units are driven to generate differentiated power regulation instructions, and finally power support is cooperatively executed through the power electronic converter, so that accurate matching and efficient cooperation of multi-energy virtual inertia capability are realized, the frequency stability of a high-proportion new energy power grid is remarkably enhanced, and the system performance is improved. The problems of resource allocation mismatch, poor control adaptability and the like in a traditional method are effectively avoided, and the dynamic safety of the system is guaranteed under the complex operation working condition.

The invention belongs to the field of robots, and particularly discloses a mechanical arm man-machine cooperation self-adaptive admittance control method and device, a terminal and a medium, a man-machine interaction model omitting virtual stiffness is constructed, and admittance parameters in the man-machine interaction model comprise virtual inertia and virtual damping; designing a stability observer of the physical man-machine interaction system, monitoring an external force applied by an operator by the stability observer, and performing spectral analysis on a force signal to obtain a system instability index; constructing an admittance parameter adaptive controller through a system instability index, wherein the admittance parameter adaptive controller comprises a virtual inertia adaptive controller and a virtual damping adaptive controller; and the virtual inertia and the virtual damping are adjusted based on the admittance parameter self-adaptive controller, so that the physical man-machine interaction system returns to a stable state. The method realizes self-adaptive adjustment of controller parameters, adapts to a complex environment, and keeps stability of physical man-machine interaction.

The invention relates to the technical field of power system control, in particular to a direct-current capacitor self-synchronizing grid-connected control strategy method, system, equipment and medium, a direct-current capacitor energy dynamic model is established based on an actual energy balance relation, a direct-current voltage signal is acquired in real time, and a synchronous compensation signal is calculated based on the acquired direct-current voltage signal; performing phase compensation and gain adjustment on the synchronous compensation signal through a correction link based on the calculated synchronous compensation signal, adjusting the internal frequency of the inverter based on the synchronous compensation signal after phase compensation and gain adjustment, controlling the DC voltage through the internal frequency of the inverter, and establishing a self-synchronization control model; and based on the self-synchronization control model, establishing an adaptive control algorithm, generating a damping coefficient and a virtual inertia coefficient through the adaptive control algorithm, and dynamically adjusting control parameters according to the damping coefficient and the virtual inertia coefficient.

The invention discloses a grid-connected inverter control method, system and device and a medium. The method comprises the steps of obtaining a power grid operation parameter, a system power instruction and a direct current bus voltage provided by a photovoltaic side hybrid energy storage system; a virtual inertia parameter is dynamically adjusted through an active-frequency control loop of the virtual synchronous machine in combination with an adaptive inertia algorithm, and a virtual rotor angular speed and an active power reference value are obtained through calculation according to a second-order motion equation of the synchronous generator; in combination with a reactive power instruction, a virtual internal potential amplitude is calculated according to a reactive-voltage droop relation through a reactive-voltage control loop of the virtual synchronous machine; and generating a three-phase voltage reference signal of the grid-connected inverter through synchronous rotation coordinate transformation. According to the invention, the dynamic performance, the operation efficiency and the grid-connected stability of the system under complex working conditions are obviously improved.

The invention discloses an action recognition method based on a virtual inertial measurement signal generation model, and relates to the technical field of action recognition, and the method comprises the steps: collecting a surface electromyogram signal and an inertial measurement signal, and carrying out the preprocessing of the collected signals; constructing and training a generator to convert the surface electromyogram signals into virtual inertial measurement signals; inputting the generated virtual inertial measurement signal and the original surface electromyogram signal into an action recognition model, and training to obtain a classification module; the performance of an action recognition model is evaluated by using a test data set, the accuracy rate, the recall rate and the F1 score index are calculated, the recognition effect of the model is measured, a classification model and a generator are optimized according to the recognition effect, and the advantages of two modal signals can be fully utilized by fusing surface electromyogram signals and virtual inertial measurement signals, so that the accuracy of the action recognition model is improved. And the motion information of the fingers, the wrist, the forearm and other parts is analyzed, so that the complex limb motion is identified more accurately, and the performance of the limb motion identification system in practical application is improved.

The invention discloses a micro-grid parallel-separation operation switching method, which relates to the technical field of micro-grids and comprises the following steps: S1, collecting real-time state data of a micro-grid, calculating system instability and generating a stability state label; s2, generating an ultra-short-term prediction result, and calculating an energy buffer potential well parameter set and a virtual inertia coefficient in combination with a stability label; s3, triggering a mode switching instruction based on the stability state label, executing the energy buffer potential well parameter set and the virtual inertia coefficient to control the output of the energy storage system, and completing grid-connected and off-grid mode switching; s4, the harmonic content of the power grid is collected, and a protection constant value and reactive power output are dynamically adjusted according to the instability degree of the system; and S5, constructing a system support framework by constructing a hierarchical communication network, deploying a redundancy mechanism and adopting a staged implementation strategy. And through real-time stability evaluation, virtual inertia adjustment and ultra-short-term prediction optimization, the stability, the electric energy quality and the adaptive capacity in the grid-connected and off-grid switching process of the micro-grid are improved, and high reliability and flexibility of the system are ensured.

The invention discloses a distributed hierarchical cooperative control method and system for an optical storage all-in-one machine cluster, and the method comprises the steps: collecting voltage, frequency and harmonic data, and calculating a global voltage deviation, a frequency deviation and a harmonic content consensus value; calculating a unified transient support index judgment working condition based on the consensus value, and generating a global virtual inertia and impedance demand in emergency; calculating a schedulable potential index of each node based on local data of the node; distributing the requirements for the first time according to the indexes, and adjusting the parameters of the inverter to execute control after the nodes which do not meet the requirements are distributed for the second time; a three-layer architecture of'decision-aggregation-execution 'is constructed, a global state consensus and a nearby-global secondary distribution strategy are realized in combination with a consistency algorithm, a set of'local priority-adjacent support-global bottom-taking' allocation mechanism is formed, the adaptive capacity of the optical storage cluster to complex working conditions and the regional power quality are improved, and the optimal power quality is improved. And the grid-connected stability and the absorption level of the large-scale distributed energy in the weak power grid environment are remarkably improved.

The invention discloses an MMC intelligent setting and cooperative control method and system based on deep reinforcement learning, and relates to the technical field of power transmission system regulation and control, and the method comprises the steps: obtaining the current operation state data of a converter in a power transmission system, the current operation state data comprising a system frequency, a frequency reference value, a frequency deviation and a frequency change rate; establishing a third-order active closed-loop small signal transfer function based on an active transient feedback compensation algorithm, and decoupling a damping coefficient and a primary frequency modulation coefficient in VSG control through the third-order active closed-loop small signal transfer function; inputting the current operation state data into the trained DDPG intelligent agent for processing, and obtaining an optimization result of the virtual inertia; the optimized virtual inertia is applied to a rotational inertia control link of VSG control, and self-adaptive adjustment of the virtual inertia is carried out through the trained DDPG intelligent agent; the problem that control parameters of a traditional virtual synchronous generator VSG are fixed and are difficult to adapt to system operation state changes is solved.

The invention relates to the technical field of electric power, and provides a frequency modulation method and related equipment for a hybrid wind power plant, and the method comprises the steps: constructing a frequency response model of a network-forming type fan, a frequency response model of a network-following type fan, and a frequency response model of a synchronous unit; establishing a system frequency response model of the hybrid wind power plant according to the frequency response models of the net-forming type fan, the net-following type fan and the synchronous unit; constructing a multi-objective function containing a frequency change rate maximum value, frequency response steady-state deviation and a frequency deviation maximum value based on a system frequency response model; an improved particle swarm genetic hybrid algorithm is adopted to carry out minimization solution on the multi-objective function, and the optimal primary frequency modulation coefficient of the net-building type fan and the optimal droop coefficient and virtual inertia coefficient of the net-following type fan are obtained; and performing frequency modulation on the hybrid wind power plant according to the primary frequency modulation coefficient, the droop coefficient and the virtual inertia coefficient. The result verifies that the method can effectively improve the frequency response characteristic of the system containing the hybrid wind power plant.

The invention discloses a wind power plant and energy storage coordinated frequency modulation optimization method, which belongs to the technical field of new energy grid connection, and comprises the following steps: planning a frequency safety operation track considering safety and economy according to the frequency safety requirement of a power system; when the system is disturbed, the kinetic energy of a rotor of the wind generating set is preferentially utilized to carry out rapid virtual inertia response in the initial stage so as to suppress sudden frequency drop; in the middle and later periods, the energy storage system carries out fine adjustment on frequency fluctuation through multi-resolution smooth control, and the control strategy can reduce frequent actions of energy storage and prolong the service life of the energy storage system; and at the frequency modulation top layer, establishing a comprehensive cost function which comprehensively considers the fan opportunity cost, the energy storage life loss and the frequency out-of-limit penalty, and dynamically optimizing the standby frequency modulation power of the fan and the energy storage. According to the method, the power grid frequency stability is effectively improved, the frequency modulation process with more economic benefits is realized on the premise of ensuring the frequency safety, and the method is suitable for a power system with high-proportion renewable energy penetration.

The invention relates to the technical field of power system control and energy storage, and discloses an active power compensation control method in a network following mode based on a direct-hanging energy storage converter system, and the method comprises the steps: calculating a frequency deviation between a load side instantaneous frequency and a rated frequency; calculating an initial active power compensation reference value according to the frequency deviation and the frequency deviation change rate; synchronously performing first-order inertial filtering and integral operation with amplitude on the initial active power compensation reference value to generate a final active power compensation instruction; adding the final active power compensation instruction and a preset steady-state active power reference value to obtain a total active power reference value of the converter; and taking the total active power reference value of the converter as a reference value of an active power outer ring, and generating a modulation signal of the converter through power control and current control. According to the invention, the virtual inertia link can suppress the rapid change rate of the frequency, and the virtual droop link provides steady-state power support, so that the energy storage system shows a friendly grid-connected characteristic similar to that of a synchronous generator.

The invention relates to the technical field of new energy power generation and control, and discloses a new energy station operation decision support system based on multi-objective optimization, which comprises a multi-source state space reconstruction module, a Riemannian manifold geometry engine module, a self-adaptive inertia Hamiltonian evolution module and a symplectic geometric integral and instruction mapping module. The system collects station data to construct a dimensionless state space, constructs a Riemannian metric tensor according to physical constraints to reconstruct a Riemannian manifold space, and calculates a geometric connection strength factor; the factor is used to adaptively modulate a virtual inertia matrix, and a dissipative Hamiltonian kinetic model is constructed; and finally, solving the steady-state generalized coordinates through a pungent-preserving numerical integration algorithm, and decoding the steady-state generalized coordinates into an equipment control instruction. According to the method, physical constraints are converted into geometric measurements, and a self-adaptive inertia mechanism is introduced, so that the problem of optimization convergence under multivariable strong constraints is solved, and the safety and accuracy of a control instruction are ensured.

The invention relates to the technical field of energy storage system operation control, and discloses a high-voltage cascade valve hall energy storage system virtual inertia safety constraint control method, which comprises the steps of collecting operation data of a power grid side, a bridge arm layer, a module layer and a system layer in real time, and calculating a virtual inertia response power demand; establishing a three-layer security constraint system of a module layer, a bridge arm layer and a system layer, and dynamically adjusting a virtual inertia coefficient; based on the average SOC state of each bridge arm, distributing the system target power to each bridge arm; the terminal voltage is adjusted according to the SOC deviation of the modules, and power distribution and SOC balance between the modules in the bridge arms are achieved; synthesizing a final power instruction, executing triple safety amplitude limiting, and issuing the final power instruction to a power converter for execution; and periodically adjusting a virtual inertia parameter, and simultaneously realizing fault detection and isolation. According to the invention, by establishing a system-level, bridge-arm-level and module-level three-layer coordination control architecture, virtual inertia support of the energy storage system to the power grid is realized on the premise of satisfying multiple security constraints.

The invention discloses a frequency safety target construction method, system and equipment for multi-element frequency modulation resource frequency response characteristic analysis, and a medium, and belongs to the technical field of power system scheduling, and the method comprises the steps: collecting the operation parameters of a thermal power generating unit, an energy storage device and a new energy inverter; establishing dynamic frequency response models including constraints such as response delay, power climbing, charge and discharge rate, energy capacity and virtual inertia, and uniformly coupling the models to form a system overall equivalent frequency response model; calculating the frequency offset, the frequency recovery time and the oscillation attenuation rate, constructing a frequency safety objective function in combination with an electric power system operation safety standard, inputting the frequency safety objective function into an electric power system dispatching optimization model, and realizing coordinated distribution of the thermal power generating unit, the energy storage device and the new energy inverter through optimization solution. According to the invention, collaborative optimization scheduling of multi-element frequency modulation resources is realized, the accuracy and safety of system frequency control are improved, and stable operation of a power system under a high-proportion new energy access condition is ensured.

The invention relates to a virtual inertia-damping cooperative adaptive control method for a voltage source type direct-driven permanent magnet wind turbine generator. The method comprises the following steps: constructing a voltage source type direct-driven permanent magnet wind turbine grid-connected equivalent model; constructing a wind turbine generator frequency response model based on a dynamic coupling relationship between virtual inertia and virtual damping; collecting a frequency signal of a common connection point of a power grid, and carrying out collaborative optimization processing on the frequency signal by adopting a composite filter to obtain a virtual power increment; the active power reference value is introduced into an active power control loop of the grid-side converter; and controlling the power grid side converter after the additional power reference value is introduced by adopting a rotational inertia and damping coefficient adaptive control method based on a nonlinear function. According to the method, frequency steady-state deviation compensation and dynamic change rate correction can be realized, the frequency stability under wide-range disturbance can be improved through segmented nonlinear adjustment, and the requirements of unit active inertia response and power grid frequency stability are met.

The invention provides a virtual inertia adaptive control method, device and system, and relates to the technical field of inverter system control. The method comprises the following steps: calculating a reference current value according to a power reference value and an actual output voltage; calculating a current deviation value according to the reference current value and the actual output current value; outputting the current deviation value to an adaptive resonance controller to obtain a compensation control voltage signal; inputting the compensation control signal to an AHO virtual oscillator to obtain a reference value of the output voltage of the inverter; and controlling the output of the three-phase inverter circuit according to the reference value of the inverter output voltage. Wherein the adaptive resonance controller carries out adaptive control through the proportional parameter and the proportional resonance inertial parameter. The virtual inertia output can be dynamically adjusted according to the real-time requirement of the system, the overshoot phenomenon caused by power oscillation is effectively suppressed while the frequency stability is met, and the capacity of the system for resisting sudden load change and frequency disturbance is enhanced.

The invention relates to a solar photovoltaic power generation control method and system, and the method comprises the steps: adjusting a power reference value of a virtual synchronous generator based on the predicted photovoltaic power change trend information of a micro-grid after a mode switching request is detected, and controlling the output power of the micro-grid to approach a steady-state power value under a target grid-connected working condition; in different operation modes, the virtual inertia of the virtual synchronous generator is configured to be an adaptive set value, and the virtual damping coefficient is adjusted; calculating a comprehensive switching preparation index based on the photovoltaic power prediction error, the convergence characteristic of the actual power deviation and the bus voltage and frequency fluctuation amplitude; and when the comprehensive switching preparation degree index meets a preset condition, generating a synchronous starting instruction, and entering an off-grid to grid-connected switching stage. Therefore, the stability and the reliability of mode switching can be remarkably improved, transient impact is effectively inhibited, and the power supply continuity and the power quality are guaranteed.

The invention relates to the technical field of distributed energy grid-connected control, in particular to an intelligent monitoring ball enhanced distributed power supply coordination pre-synchronization control method and system, and the method comprises the steps: deploying a master intelligent monitoring ball at a grid-connected point, deploying slave intelligent monitoring balls at the output ends of all distributed power supplies, and forming a star-shaped sensing network; based on a multi-objective optimization algorithm, calculating a pre-synchronization target parameter and an adjustment weight of each distributed power supply, and generating a coordination control instruction; the virtual synchronous motor module receives the coordination control instruction, dynamically adjusts a virtual inertia and a damping coefficient, and adjusts output voltage, frequency and phase through a pre-synchronization execution unit; and after the synchronization reaches the standard, sequentially closing the grid-connected switches according to a preset power supply response priority sequence to complete the grid-connected action. According to the invention, a technical architecture of global monitoring-coordinated decision-precise execution-closed loop optimization is constructed, so that the stability and precise control problem during high-permeability distributed energy grid connection is solved.

The invention provides a coordination control method and device for an energy storage power station, electronic equipment and a storage medium, and belongs to the field of energy storage. Under the condition that the difference between the current frequency of the grid-connected point and the system frequency dead zone of the energy storage power station is greater than or equal to a preset frequency deviation threshold value, superimposing a primary frequency modulation instruction and a virtual inertia support instruction so as to doubly suppress the frequency change amplitude and the frequency change rate; the primary frequency modulation power is determined according to the SOC of the energy storage power station; when the system frequency fluctuates and deviates from the rated frequency, and the difference value between the current frequency of the grid connection point and the system frequency dead zone is smaller than a preset frequency deviation threshold value, or when the system frequency gradually approaches the rated frequency, a primary frequency modulation instruction is executed. The method can solve the problems that the energy storage power station is poor in frequency quick response performance and large in frequency steady-state deviation, and the service life of a battery is prolonged.

The invention discloses a self-adaptive virtual inertia control method and device for an energy storage DAB converter, relates to the field of converter control, and comprises three parts of current feedforward control based on low-pass filtering, voltage compensation control and virtual capacitor Cv parameter self-adaption. Wherein current feed-forward compensation in a low-pass filtering mode is added in a loop causing initial voltage abrupt change so as to improve initial drop of bus voltage, steady-state voltage compensation is added in a droop link so as to realize zero-difference adjustment of the bus voltage, and a function is constructed according to bus voltage deviation and change rate so as to realize self-adaptive adjustment of the virtual capacitor Cv. According to the control method provided by the invention, the bus voltage fluctuation can be effectively inhibited, the voltage steady-state error is reduced, and the supporting capability of the energy storage unit on the bus voltage is improved.

The invention discloses a load storage charging and discharging integrated power grid stability simulation analysis method and system, and belongs to the technical field of simulation analysis, and the method comprises the steps: obtaining power grid operation data and resource state data; constructing a load storage charging and discharging resource unified equivalent model containing self-adaptive virtual inertia and self-adaptive transient damping; power grid transient stability simulation is executed, and transient response data are generated; processing the response data, and calculating to obtain a multi-dimensional transient stability comprehensive index fusing the oscillation damping ratio and the voltage deviation integral; and iteratively adjusting the virtual inertia and the transient damping parameter according to the comprehensive index until an optimization condition is met, and generating an optimization control strategy. According to the method, the load storage charging and discharging heterogeneous resources are aggregated into the unified equivalent model, parameter optimization is guided through the transient stability comprehensive index, the grid-connected stability of the high-permeability power electronic equipment can be accurately evaluated and optimized, and the transient reliability and operation safety of a power grid when the power grid is subjected to fault disturbance are improved.

The embodiment of the invention discloses a control system of a multi-voltage bus hybrid micro-grid. The control system comprises a control layer and a hardware layer, wherein the medium-voltage direct-current bus is used for being connected with a distributed energy module of which the power is higher than a first set power value; the low-voltage direct-current bus is used for connecting an equipment assembly of which the power is lower than a second set power value, and the equipment assembly at least comprises a direct-current load of which the power is lower than a set value and a data center load; the AC bus is compatible with a traditional power grid and an AC load; the main control layer is used for realizing closed-loop regulation of voltage and current; the auxiliary control layer realizes the consistency of multi-bus voltage and frequency based on state estimation, bus impedance identification and virtual inertia control; and the comprehensive power management layer realizes cross-bus energy balance and power sharing based on a model predictive control and optimal scheduling algorithm. The technical problems that in the prior art, a control layer and a hardware layer of the multi-voltage bus hybrid micro-grid are independent of each other, a cooperative relation is lacked, and the dynamic self-adaptive adjustment type is poor are solved.

The embodiment of the invention provides an energy storage frequency modulation control method and system, electronic equipment and a medium, and in the method provided by the embodiment of the invention, when frequency fluctuation occurs in a power grid, differentiated frequency modulation control strategies can be selected for different frequency fluctuation characteristics by determining a target output parameter and a preset frequency regulation stage. On the basis of different preset frequency regulation stages, calculation logics of control parameters of a virtual inertia control strategy and a virtual droop control strategy are different, so that a dynamic frequency modulation control scheme taking the actual fluctuation condition of a power grid as a data basis is formed, and the dynamic frequency modulation control scheme is not limited to fixed control coefficients or control parameters; the problem that traditional fixed coefficient control is poor in adaptability to working condition changes is effectively solved, and therefore the accuracy and reliability of energy storage frequency modulation control are remarkably improved.

The invention discloses a new energy station primary frequency modulation capability evaluation method considering a power grid structure and operation characteristics. The method comprises the following steps: collecting data; the data comprises complex network data of a power system, historical operation data of the system, virtual inertia control parameters of a wind generating set, droop control parameters of a photovoltaic generating set and primary frequency modulation control performance data; quantifying the primary frequency modulation comprehensive capability of the new energy station according to the collected data; and training the new energy station primary frequency modulation capability evaluation model and obtaining the new energy station primary frequency modulation capability evaluation model with the highest prediction accuracy. According to the method, the new energy station primary frequency modulation capability evaluation model is established based on the XGBoost algorithm, compared with a traditional time domain simulation method, when the method is applied to different new energy stations, modeling does not need to be conducted again, and the method has obvious advantages in the aspects of universality and calculation efficiency.

The invention discloses a network construction type and network type energy storage combined control method, electronic equipment and a storage medium, and the method comprises the steps: firstly obtaining the inertia of a power grid and the short-circuit capacity of a grid-connected point of an energy storage power station, and calculating the short-circuit ratio of the grid-connected point of the power station; dynamically adjusting the basic operation proportion of the two types of energy storage according to the inertia and short-circuit ratio of the power grid; then determining the frequency deviation and the frequency change rate of the power grid, calculating the initial output of two types of energy storage in combination with the basic operation proportion, and executing hierarchical control: constructing network type energy storage dominated virtual inertia control based on the frequency change rate, and preferentially responding to the network type energy storage to primary frequency modulation control based on the frequency deviation of the power grid; and finally, dynamically distributing a real-time output weight by combining the power grid frequency deviation, the frequency change rate and the short-circuit ratio through the coordination controller, and carrying out weighted optimization on the initial output to realize collaborative adaptation of primary frequency modulation and virtual inertia control. According to the scheme, weak power grid stability improvement and fast frequency modulation active supporting capability are effectively considered, and the operation requirements of a high-proportion new energy power grid are met.