605 results about "Virtual inertia" patented technology

The invention relates to the technical field of participation of a wind storage system in power grid frequency modulation, and particularly provides an active regulation power quantitative evaluation method and device for self-adaptive frequency modulation of a wind storage system, and the method comprises the steps: constructing an energy storage system frequency response model, and calculating the active power of energy storage participating in frequency modulation; constructing a wind turbine generator wind speed fluctuation model, simulating the wind speed fluctuation condition in the same wind power plant according to the wind speed probability distribution, and generating a section of random wind speed disturbance; constructing a frequency response model of the wind turbine generator, and calculating active power participating in frequency modulation; a wind storage system adaptive distribution model is constructed based on a depth deterministic strategy gradient algorithm, and optimal distribution of a virtual droop control coefficient and a virtual inertia control coefficient of the wind storage system is realized; and calculating the active regulation power of the wind storage system after self-adaptive frequency modulation. And calculating the adjustable active power of the wind turbine generator and the energy storage equipment participating in the frequency modulation strategy when the optimal frequency modulation effect is achieved and the service life of the equipment is balanced.

The present invention provides an inverter control method, device, computer equipment and storage medium, belonging to the field of power electronics. The method comprises: determining a frequency control equation of the inverter under a grid-connected condition when the inverter is in a VSG control mode; determining a relationship between a virtual electromotive force of a virtual synchronous generator in a reactive state and an output voltage of the inverter; constructing a voltage-current double closed-loop control structure of the inverter under the VSG control mode, and determining a current reference value and a voltage reference value of the virtual synchronous generator under dq axes through the frequency control equation and the relationship; constructing a fuzzy control rule of a virtual damping coefficient and a virtual inertia according to the current reference value and the voltage reference value; and controlling the virtual damping coefficient and the virtual inertia through the fuzzy control rule, thereby improving the stability and performance of the inverter during the grid-connected process, reducing the harmonic disturbance of the power system, and helping to improve the adaptability and reliability of the entire photovoltaic power generation system.

The invention discloses a distributed wind set virtual inertia active support control method suitable for a weak power grid, and the method comprises the steps: dynamically adjusting the inertia support strength according to the frequency disturbance of a power grid through adaptive virtual inertia adjustment; multi-mode cooperative control is adopted, and an operation mode is switched according to the frequency deviation and the change rate so as to provide an optimal response; by means of dynamic damping compensation, frequency oscillation is suppressed in combination with multiple factors and an optimization algorithm, and system damping is improved; multi-time-scale cooperative control is implemented, and inertia support, power adjustment and rotating speed recovery are coordinated at a millisecond level, a second level and a minute level; and rotor kinetic energy graded release is adopted, kinetic energy release is accurately controlled according to the frequency drop degree, and sudden rotation speed drop is avoided. In addition, additional frequency damping control is introduced to enhance suppression of frequency fluctuation. The method can significantly improve the response speed and adaptability of the wind turbine generator to the frequency fluctuation of the weak power grid, ensures the frequency stability of the power grid, and provides key technical support for stable grid connection of wind power in the weak power grid.

The invention belongs to the technical field of power systems and automation thereof, and relates to a virtual inertia fuzzy self-adaptive new energy inverter frequency active support method. Aiming at the problem of power grid frequency stability caused by new energy power generation intermittency and volatility, the method comprises the following steps: simulating inertia characteristics of a synchronous generator through a direct current side capacitance control strategy; detecting the frequency of the power grid by using a power synchronous ring, and converting a power difference value into a frequency deviation; designing a fuzzy control module, and adjusting the coefficient of the virtual inertia controller in real time according to the frequency deviation to optimize the frequency response; an inverter current given value is adjusted according to the output of the fuzzy control module, and active and reactive power output is calculated and controlled; relevant parameters are monitored in real time, the performance of the self-adaptive control module is evaluated, and parameter optimization response of the fuzzy controller is adjusted. The frequency stability and reliability of the power grid can be effectively improved, the control flexibility and precision of the inverter are improved, and new energy efficient grid-connected power generation is promoted.

The invention provides a virtual synchronous generator adaptive control method based on line impedance identification, and relates to the technical field of power system control. The line impedance identification-based adaptive control method for the virtual synchronous generator comprises the steps of dynamically adjusting the virtual inertia J, the damping coefficient D and the droop coefficient K of the virtual synchronous generator through a multivariable constraint optimization algorithm according to the impedance-frequency coupling model, and realizing real-time matching between the output power of the virtual synchronous generator and the impedance of a power grid. By collecting power grid signals in real time and extracting impedance characteristics, the dynamic change of power grid impedance can be timely and accurately mastered, and a reliable basis is provided for subsequent control strategy adjustment, so that real-time matching of the output power of the virtual synchronous generator and the power grid impedance is realized, power fluctuation is effectively reduced, and the stability of a power grid is improved; according to the invention, a self-adaptive modulation strategy and a multi-resonant controller are adopted, harmonic oscillation can be effectively suppressed, and the quality of output electric energy of the inverter is improved.

The invention discloses a fan inertia support evaluation and control method considering power grid inertia space-time distribution. Based on wide area measurement system data, a power grid inertia space-time distribution model is constructed, inertia contribution characteristics of different areas are analyzed, and the influence of extra-high voltage direct current transmission on inertia distribution is considered. And calculating the inertia response power of the fan, quantifying the support contribution of the virtual inertia of the fan based on the frequency change rate and the regional equivalent inertia, and establishing an inertia support efficiency evaluation index system. A dynamic feedback control strategy is put forward, a reinforcement learning or adaptive gain adjustment method is adopted in combination with the real-time distribution condition of the inertia of the power grid, the virtual inertia control parameters of the fan are optimized, and the response accuracy is improved. Based on a wide-area coordination optimization method, a fan inertia support scheduling strategy is optimized, and the system frequency stability is improved. The method can effectively improve the frequency supporting capability of the new energy power grid, improves the new energy consumption level, enhances the operation safety of the power grid, and is suitable for a high-proportion new energy grid-connected smart power grid.

The invention discloses a micro-grid virtual inertia optimal distribution method, and relates to the technical field of micro-grid inertia optimal distribution. Establishing a micro-grid transient model containing photovoltaic, energy storage and controllable load to quantitatively describe virtual inertia support requirements of the maximum frequency deviation and the maximum frequency change rate of the micro-grid, and obtaining the critical inertia of the micro-grid; setting constraint conditions based on the critical inertia of the micro-grid, and establishing a virtual inertia optimal distribution model of the micro-grid by taking the minimum maximum frequency deviation as an optimization target; and solving the micro-grid virtual inertia optimal distribution model to obtain a village-level micro-grid internal virtual inertia optimal distribution scheme. The invention further discloses micro-grid virtual inertia optimization sub-configuration, and a photovoltaic, energy storage and controllable load virtual inertia distribution scheme is obtained on the premise of guaranteeing that the micro-grid inertia is at a safety level and photovoltaic, energy storage and controllable load stable operation.

The invention relates to the field of power system frequency stability control, and discloses a virtual synchronous machine energy storage frequency modulation method and system based on model prediction and adaptive control, and the method comprises the steps: constructing a prediction model of a virtual synchronous machine, wherein a virtual inertia coefficient and a virtual damping coefficient are included; designing a cost function, wherein the cost function is a weighted sum of squares of the frequency increment and the input power increment; solving the optimal control sequence by using quadratic programming, and further correcting the input power of the VSG in real time; and in combination with the dynamic characteristics of the energy storage device, the virtual inertia coefficient and the damping coefficient are adaptively adjusted according to the frequency deviation and the frequency change rate. The method focuses on the combination of model prediction control and adaptive control, is applied to the energy storage frequency modulation of the virtual synchronous machine, and aims to effectively solve the problem of frequency stability caused by the access of high-proportion renewable energy to a power system.

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 relates to the technical field of photovoltaic power generation management systems, in particular to a photovoltaic power generation management, control and regulation system, which realizes multi-target collaborative optimization by fusing AGC active dynamic distribution, AVC reactive collaborative compensation, virtual inertia frequency response and reverse power rapid protection technologies. The system adopts a priority regulation and control strategy, a hybrid reactive power distribution algorithm and a multi-stage interlocking protection mechanism, the stability and the regulation precision of the power grid are remarkably improved, and the grid-connected requirement of a large-scale photovoltaic power station is met.

The invention discloses a wind and light storage coordination control method and system for a virtual synchronous machine, and the method comprises the steps: building a wind power plant-energy storage power station double-layer response mechanism at a first stage, and employing a multi-time scale coordination control strategy for a second-stage energy storage system; and in combination with the virtual synchronous control characteristics of the optical storage power station, establishing a multi-scene optimization model of a wind and light storage multi-source collaborative double-layer coupling mechanism, and realizing dynamic optimization of output of each unit among inertia support, frequency modulation capacity and energy storage health state. According to the method, wind power plant rotor kinetic energy release combined overspeed load shedding control, a fuzzy control means based on an energy storage charge state and a VSG control means based on a virtual inertia and damping coefficient self-adaption photovoltaic system are considered, then wind and light energy storage frequency modulation coordination is optimized, and the system inertia safety is effectively improved on various working conditions and different time scales.

The invention discloses a regional fan virtual inertia support scheduling method considering a wind power plant group synergistic effect, and aims to solve the problems of non-uniform inertia distribution, response conflict and economy in wind power plant group scheduling. By introducing a hybrid multi-level cooperative control architecture, the inertia vacancy of the power grid is calculated in real time, the inertia demand of each wind power plant is allocated, and the scheduling strategy of the wind power plant group is optimized. And a time-varying inertia demand curve is generated by adopting a hybrid algorithm, the future inertia demand is accurately predicted, and the fan rotating speed recovery cost, the equipment loss and the wind curtailment amount are minimized in combination with a multi-target optimization model. A model predictive control framework and a Nash equilibrium theory are introduced, the game problem between wind power plants is solved, collaborative scheduling of a wind power plant group is optimized, and timeliness and stability of a scheduling instruction are ensured by embedding a time delay compensation algorithm. According to the method, the inertia supporting efficiency of the power grid can be remarkably improved, the equipment loss and the wind curtailment amount are reduced, the robustness of the system is improved, and the method has high application value and prospect.

The invention provides a light storage coordinated feed-in new energy microgrid power quality improving device and method, and relates to the technical field of microgrid distributed control. The light storage coordinated feed-in new energy microgrid power quality improving device comprises a series converter, a parallel converter, a battery energy management system and a direct current power supply unit. According to the optical storage coordinated feed-in new energy microgrid power quality improvement method, a prediction equation is established for a series converter to decouple a control target, and power grid current can be accurately compensated. An adaptive compensation control technique based on a VLLMS algorithm is employed for the parallel converter to generate a control signal for the parallel converter. A virtual inertia control strategy is provided for a battery energy management system, and inertia support is provided for a series converter and a parallel converter. And aiming at a non-ideal voltage condition, constructing a PB-SM compensation strategy of the new energy micro-grid power quality improving device based on optical storage coordinated feed-in.

The invention discloses a method for preventing power reverse peak regulation by coupling primary frequency modulation and virtual inertia of a network-forming type fan, and the method effectively prevents power reverse peak regulation by dynamically decoupling the coupling effect of primary frequency modulation and virtual inertia and adjusting an amplitude limiting threshold value based on a real-time working condition. The adaptive amplitude limiting control strategy adjusts an amplitude limiting threshold value in real time according to parameters such as power grid frequency deviation, frequency change rate and fan operation state, optimizes fan power output, and avoids excessive power fluctuation. The virtual inertia compensation module simulates inertia response of a traditional generator set, provides extra inertia support and stabilizes frequency fluctuation of a power grid. The hierarchical control architecture realizes the balance of virtual inertia and frequency modulation control through the synergistic effect of an upper decision layer and a bottom execution layer, and avoids the phenomenon of reverse peak regulation of power. The control strategy not only improves the frequency modulation response speed and precision, but also enhances the adaptive capacity of the fan to the frequency fluctuation of the power grid, and has important application value and wide market prospect.

The invention discloses a new energy station equivalent synchronous machine inertia evaluation method, which comprises the following steps of: constructing a multi-machine system frequency response model containing new energy virtual inertia frequency modulation to obtain a system transfer function; determining the supporting effects of different new energy power system frequency modulation parameters on the frequency; performing simulation to obtain data pairs of new energy frequency modulation control parameters, unit power response time constants and frequency indexes, and a three-dimensional curved surface representing a new energy frequency modulation control effect; removing a new energy virtual inertia frequency modulation module in the frequency response model, and fitting a correlation representation model of power grid inertia frequency modulation capability evaluation parameters and frequency indexes by using a polynomial based on the data set; and a frequency index is used as an intermediate variable, and a three-dimensional curved surface of new energy frequency modulation control parameters and response speed-equivalent synchronous machine inertia is obtained based on a frequency index equivalence principle. According to the method, the influence of the new energy self-response dynamic state and the control parameters can be comprehensively considered, and the virtual inertia frequency supporting capability of the new energy station is correctly evaluated.

The invention provides a new energy station control parameter dynamic evaluation method, which comprises the following steps: according to a frequency dynamic response process after a system is disturbed, retaining a nonlinear link corresponding to an influence frequency in each unit of multivariate heterogeneous frequency modulation resources and corresponding parameters, and constructing a system multi-machine frequency response model; based on a system multi-machine frequency response model, determining the frequency change rate of the system at the disturbed moment; determining a virtual inertia control parameter of the new energy station based on the frequency change rate; based on the virtual inertia control parameters and a system multi-machine frequency response model, determining the maximum frequency deviation after the system is disturbed; and determining a primary frequency modulation control parameter of the new energy station based on the maximum frequency deviation and the virtual inertia control parameter. The evaluation result can provide engineering guidance for new energy station control parameter configuration, support controller optimization and active support strategy landing, improve frequency response under various working conditions, and improve the safety and stability level of the system.

The invention relates to an energy storage converter grid-connected method based on virtual synchronous generator control. Compared with the prior art, the defects that in an existing energy storage converter grid-connected control technology, the response capacity to power grid disturbance is weak, the power control precision and stability are insufficient, and the robustness of a controller is poor are overcome. The method comprises the following steps: designing a self-adaptive rule of virtual inertia and a damping coefficient in an active loop of a VSG controller; self-adaptive adjustment is carried out; designing a VSG power decoupling controller based on hyper-local model cooperative control; smooth power following and effective decoupling control of active power and reactive power. According to the method, the inertia and damping characteristics of a synchronous generator are achieved in the operation process of the energy storage grid-connected converter, when grid-connected active power or grid-connected frequency is disturbed, frequency fluctuation can be restrained through self-adaptive adjustment of the virtual inertia and the damping coefficient, and the good power decoupling control capacity is achieved.

The present disclosure discloses a method for controlling coordinated operation of multiple wind generators to avoid secondary frequency drop. The method includes the following steps: first, the Doubly Fed Induction Generator (DFIG) required for frequency support is dynamically selected based on a real-time disturbance power of a power grid and the rotating speed level of each DFIG; second, the virtual inertial control parameters are adaptively regulated according to the system frequency and the change in the rotating speed of the DFIG participating in frequency support, ensuring that the frequency support requirements are satisfied; and finally, the remaining DFIGs are controlled to release the rotor kinetic energy to support the rotating speed recovery of the selected DFIG, so as to reduce the extra energy absorbed from the power grid in the process.

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.

A device, method, and non-transitory computer readable medium for controlling a power distribution system includes an islanded microgrid and a control system. The islanded microgrid includes battery energy storage systems (BESSs) that operate as a primary energy source, and a decentralized consensus-based virtual synchronous generator (VSG). The control system simultaneously, emulates inertial response of a synchronous generator by the virtual synchronous generator during grid disruptions to regulate and stabilizes frequency of the islanded microgrid, and maintain consensus among the plurality of battery energy storage systems (BESSs).

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 discloses a power grid frequency regulation and control method for a low-inertia power system, and the method comprises the steps: taking the minimum lowest point of the power grid frequency in fluctuation as a first regulation and control target based on frequency response models constructed by frequency modulation resources in the low-inertia power system, taking the lowest total frequency modulation cost of the frequency modulation resources as a second regulation and control target, taking the condition that the lowest point of the fluctuating power grid frequency meets the security constraint as a first constraint condition, and taking the condition that the generated power output by each frequency modulation resource meets the power limit as a second constraint condition; taking a third constraint condition that the total amount of the generated power output by each frequency modulation resource meets the total power requirement of the low-inertia power system, solving to eliminate the frequency deviation and the generated power output by each frequency modulation resource, and the frequency modulation resources comprise a synchronous generator set, a network construction type virtual inertia device and a network following type virtual inertia device. Collaborative optimization of various frequency modulation resources can be realized, and complex dynamic power system requirements can be met.

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 relates to a micro-grid frequency control system with hybrid energy storage. The system comprises an input power decomposition module for performing adaptive wavelet packet decomposition on wind power generation output power to obtain an optimal low-frequency component and an optimal high-frequency component; the initial power distribution module is used for decomposing the high-frequency component into a sub-high-frequency component and an ultrahigh-frequency component and respectively distributing the sub-high-frequency component and the ultrahigh-frequency component to a storage battery and a super capacitor to obtain a primary power distribution instruction; the correction power distribution module is used for correcting the primary power distribution instruction through a Logistic regression function to obtain an optimized output instruction; and the power grid primary frequency modulation module inputs the frequency deviation and the frequency change rate of the micro-grid into a hybrid energy storage model based on virtual inertia control and virtual droop control to obtain a total frequency modulation output demand and generate a total frequency modulation output instruction. According to the system, through the adaptive wavelet packet decomposition and hybrid energy storage technology and in combination with virtual inertia and virtual droop control, the fluctuation of the distributed power supply can be effectively stabilized, and the frequency stability of the micro-grid is improved.

The invention discloses a wind power inertia analysis method considering fan inertia support, and relates to the technical field of wind power system control, and the method comprises the following steps: collecting dynamic response data of a target generator set under a preset disturbance condition, and building a double-loop dynamic model based on the dynamic response data; performing closed-loop coupling on the double-loop dynamic model and a preset power grid model, and constructing a unit-power grid joint dynamic simulation model; based on the joint dynamic simulation model, acquiring a multi-dimensional inertia response characteristic matrix; based on the inertia response characteristic matrix, obtaining a contribution value of a virtual inertia control layer to power grid frequency support; and dynamically adjusting control parameters of a virtual inertia controller in the target generator set according to the quantized contribution value. According to the method, the response characteristics of the wind turbine generator under different disturbances are simulated through the double-loop dynamic model and unit-power grid joint simulation, the inertia response characteristics are analyzed based on real-time data, the capability of efficiently and accurately adjusting the virtual inertia control layer is achieved, and the stability of the power grid is enhanced.

The invention provides a wind storage frequency modulation control method and device based on virtual inertia support and a medium, and the method comprises the steps: carrying out the aggregation of wind turbine generators through employing an equivalent model, and obtaining the virtual inertia of a wind power plant and the inertia of an energy storage power station; detecting system frequency deviation by introducing frequency tracking negative feedback, and calculating required auxiliary power according to power grid frequency deviation by utilizing inertia response characteristics of wind energy storage; the wind turbine generator releases kinetic energy of a rotor of the wind turbine generator to provide inertia support required by the system; through the design of the energy storage controller, the energy storage system adapts to the operation condition of new energy, necessary inertia support is provided for the system, charging and discharging of the storage battery are controlled, real-time response is achieved, power balance is maintained, and then constant frequency control is achieved. According to the invention, an efficient and integrated control system is constructed, and the flexibility and response speed of the wind energy storage system to cope with power grid frequency fluctuation challenges are greatly improved.

The invention discloses a method and system for measuring inertia and damping parameters of a grid-forming type wind turbine generator, and relates to the technical field of grid-connected converter detection, and the method comprises the steps: connecting a test device to a to-be-tested grid-forming type wind turbine generator operating in an off-grid mode, enabling the test device to apply frequency disturbance and small-phase disturbance to the to-be-tested wind turbine generator at an initial moment, acquiring voltage and current of a unit port until the virtual synchronous generator reaches a stable working state, and respectively acquiring a steady-state value of the active power variation of the unit and a transient response curve of the active power variation in the whole response process; on the basis of the steady-state value of the active power variable quantity, the applied frequency disturbance is combined, and a damping coefficient is calculated according to a first relation; and on the basis of the transient response curve, an envelope line of the curve is calculated and obtained, then a product value of the natural oscillation angular frequency and the damping ratio is obtained, the reference angular frequency and the damping coefficient are combined, and the virtual inertia is calculated according to a second relation. According to the invention, accurate and efficient measurement of inertia and damping parameters can be realized.

The invention discloses a networking type energy storage semi-physical simulation test platform and method, and particularly relates to the field of simulation testing, and the platform comprises a digital twin collaborative modeling module, an impedance adaptive hardware coupling module, a networking control depth verification module, a multi-dimensional performance evaluation module, and an iterative optimization module. According to the method, a dynamic impedance network model and a virtual energy storage unit are integrated by constructing a power grid-energy storage digital twin; the dynamic impedance network is generated by adopting a frequency-dependent parameter transmission line equation and combining actual measurement impedance scanning data in a fitting manner; in the loop test, a full-band disturbance injection method is adopted to monitor impedance characteristics, and virtual inertia and physical droop control parameters are coordinated under a preset weak power grid working condition; the multi-dimensional performance evaluation system quantifies the system performance from three dimensions of dynamic response, stability margin and transient energy function, and when the phase margin deviation is greater than 15 degrees, triggers an iterative optimization mechanism, reconstructs a virtual inertia coefficient and repeatedly verifies the virtual inertia coefficient until a stability threshold is met.