787 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.

A control system to regulate frequency of an islanded microgrid that includes at least one grid-tied renewable energy source. The system includes a centralized ∞ controller, a multi-agent system, and a distributed control. The centralized ∞ controller generates active and reactive power setpoints. The multi-agent system is integrated into the grid through a grid-tied inverter coupled with an LCL filter. The distributed control controls the multi-agent system and the grid-tied inverter to adjust output power of a multi-agent microgrid storage cooperatively so that they achieve consensus in the energy while providing inertial support.

The invention relates to a shared energy storage virtual inertia compensation control method for wind power cluster collection, and belongs to the technical field of power system control. In order to solve the problem of insufficient cooperative control of a wind power system and an energy storage system in the prior art, a dynamic model is established by obtaining operation parameters, and the dynamic model comprises a wind turbine generator active power control model and an energy storage system charging and discharging model; designing a virtual inertia control strategy, and introducing virtual inertia control to simulate inertia response characteristics of the synchronous generator; shared energy storage coordination control is carried out, and a strategy is designed by using an MPC method according to an inertia demand and an SOC state; establishing a frequency dynamic response model and calculating inertia response time as a virtual inertia control start-stop condition; and optimizing controller parameters and designing locking logic by adopting an intelligent algorithm. The method can improve the system performance and efficiency, enhance the frequency stability, improve the energy utilization efficiency of the energy storage system, optimize the system performance, and improve the system stability and reliability.

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 provides a photovoltaic VSG control method based on virtual inertia and damping, and the method comprises the steps: designing a topological structure of a photovoltaic virtual synchronous generator for modeling, and obtaining a power and power angle equation of the virtual synchronous generator; constructing a function expression of the active power of the virtual synchronous generator and combining the function expression with a power and power angle equation of the virtual synchronous generator to obtain a second-order transfer function so as to obtain a step response curve of the output power and the angular frequency of the virtual synchronous generator; secondly, analyzing an influence mechanism of changes of virtual inertia and damping on the dynamic performance of the virtual synchronous generator based on a step response curve, obtaining self-adaptive principles of the virtual inertia and damping in different states based on the influence mechanism to construct a self-adaptive function, and finally setting parameters in the self-adaptive function and designing a starting criterion. Therefore, the photovoltaic virtual synchronous generator can be controlled. Compared with the prior art, the fluctuation of power and frequency can be better suppressed, and the stability of the system 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 calculation method and system for virtual inertia of network construction new energy power generation equipment. The method comprises the following steps: establishing a wind and light storage hybrid power station which comprises a wind power station, a photovoltaic power station and an energy storage system; self-adaptive virtual inertia Agent nodes are configured on the equipment level of a wind and light storage power station and comprise a fan Agent, a photovoltaic inverter Agent and an energy storage converter Agent, a station EMS Agent establishes virtual inertia models of all equipment Agents according to different characteristics of wind and light storage and based on the virtual inertia Agent nodes of all the equipment, and the virtual inertia models of all the equipment Agents are calculated according to the virtual inertia Agent nodes of all the equipment Agents. Comprising a fan Agent virtual inertia model, a photovoltaic inverter Agent virtual inertia model, an energy storage converter Agent virtual inertia model and a station EMS Agent coordination model. Based on a PSO-ADMM algorithm, a virtual inertia optimization model of a virtual inertia model of each equipment Agent is solved, and based on a station EMS Agent, a mapping relation between a wind-solar-storage operation mode and a virtual inertia strategy is collected in real time, and a strategy knowledge base is constructed; and managing the virtual inertia of the new energy power generation equipment of the wind-solar-storage hybrid power station based on the strategy knowledge base.

The invention discloses a VSG adaptive control method, which comprises the following steps: establishing an inverter model based on VSG control, introducing a virtual rotational inertia J and a damping coefficient D into the inverter model, introducing an SG2-order rotor motion equation to simulate the rotational inertia and realize primary frequency modulation characteristics, and deducing a control equation; establishing a VSG active-frequency loop small signal model, and introducing a transfer function of reference power-frequency and output power reference power to determine a variation range corresponding to the virtual inertia J and the damping coefficient D; and designing a fuzzy controller to dynamically adjust the virtual inertia J and the damping coefficient D in a variation range corresponding to the virtual inertia J and the damping coefficient D so as to realize real-time adjustment of the virtual inertia J and the damping coefficient D. According to the VSG adaptive control method, parameter adjustment is more sensitive in the face of small errors, and the selection range of J and D can be fully utilized and adjusted in real time.

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 provides a phase jump compensation method and device of a network-forming converter, a terminal and a medium. The method comprises the following steps: calculating an instantaneous power angle compensation amount based on the voltage of a grid-connected point of the grid-forming converter; if the instantaneous power angle compensation amount is greater than a preset threshold value, determining a weighted full feed-forward compensation amount based on a capacitor voltage of the network-constructing converter, and determining a cross decoupling compensation amount based on a bridge arm current of the network-constructing converter; and adding the instantaneous power angle compensation amount, the weighted feed-forward compensation amount and the cross decoupling compensation amount into a voltage control loop of the network-forming converter to obtain a control signal added with phase jump compensation. According to the method, the influence of internal virtual inertia on the output response of the grid-forming converter can be reduced, the change of the power grid is quickly responded, the power grid adaptability of the grid-forming converter is improved, the power grid adaptability comprises the phase angle jump adaptability and the power grid strength SCR adaptability, and an overcurrent fault during phase jump is avoided.

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 an adaptive virtual inertia control method for an inverter based on an Andronov-Hopf oscillator, and relates to the technical field of network-forming inverter control. The invention aims to solve the problem that the stability and reliability of a power system can be damaged by control based on an oscillator. According to the invention, the difference between the output current of the inverter and the reference current is obtained, and the difference passes through an inertia link to obtain an input current error signal of the oscillator; the difference between the active power reference value and the actual value of the inverter is obtained, and the difference is subjected to active-frequency control with self-adaptive virtual inertia to obtain the angular frequency of the oscillator; the reactive power reference value and the actual value of the inverter are subtracted, and the difference value is subjected to reactive-voltage control with a PI controller to obtain the voltage amplitude of an oscillator; the voltage generated by the Andronov-Hopf oscillator is calculated through the Andronov-Hopf oscillator, the voltage passes through the integrator to obtain SVPWM reference voltage, the three-phase voltage source inverter is modulated, and grid-connected control is achieved.

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 provides a wind power auxiliary frequency modulation optimization method based on system frequency trajectory optimization. The method comprises the steps that key operation parameters and frequency modulation parameters of a wind turbine generator and a traditional generator are collected respectively, a small signal analysis method is used for deducing a wind turbine generator power frequency transfer function considering working point deviation, and a system frequency response model containing the wind turbine generator and the traditional generator is established; based on the system frequency response model, constructing a discretized optimal system frequency trajectory optimization model by taking the lowest point of the maximized system frequency as a target function; and solving the discretized optimal system frequency trajectory optimization model by using a commercial solver to obtain an additional frequency modulation power signal, and applying the additional frequency modulation power signal as an additional control signal to virtual inertia control to obtain a system frequency optimal control effect. According to the method, the additional frequency modulation power can be obtained by considering accuracy and efficiency, the advantages of rapidness, flexibility and high plasticity of fan power adjustment are fully utilized, and the system frequency response dynamic characteristic is effectively improved.

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 relates to the technical field of intelligent power grids, in particular to a grid-connected control method for an improved RBF (Radial Basis Function) network construction type converter with active support capability. The method comprises the following steps: firstly, taking a group of initial values in a VSG system virtual inertia and equivalent damping coefficient parameter value range; determining an initial angular frequency according to the initial value and a swing equation; a VSG secondary control system is improved, an improved phase self-tracking pre-synchronization method without a phase-locked loop is added, a voltage deviation signal is responded, a frequency phase is compensated, and the rotational inertia and the damping coefficient of the system are adjusted in real time to respond to the change of the system state. According to the neural network, the virtual inertia, the damping coefficient and the angular velocity compensation amount are adaptively adjusted, and whether parameters accord with criteria is compared, so that the input parameters are corrected, the influence of disturbance on the system frequency and the output active power is reduced, the dynamic response process of the system is improved, and the stability of the system is improved. And system output power distribution errors and overshoot caused by a rotor motion equation are reduced.

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 relates to a high-proportion new energy power grid frequency rotational inertia control method and system. The method comprises the following steps: establishing a virtual rotor motion equation; performing frequency droop control on the active power to obtain an active-frequency droop equation; the active-frequency droop equation is substituted into the virtual rotor motion equation, and a virtual speed regulator control model is obtained; meanwhile, an output reactive power regulation equation of the new energy grid-connected current converter is obtained; establishing an equivalent impedance equation; based on the Kirchhoff voltage law and introducing a dq-axis current coupling component, obtaining a mathematical model of the output voltage of the VSG control system in a dq two-phase coordinate system; the output power of the VSG is further obtained; analyzing a transient energy change process during VSG frequency regulation by adopting an energy composition function; according to the relation between the current angular frequency and the initial angular frequency, the frequency change rate is introduced to represent the virtual inertia, and the self-adaptive virtual inertia is obtained; and the adaptive virtual inertia is substituted into the virtual rotor motion equation to obtain a high-proportion new energy power grid frequency rotational inertia control equation.

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 discloses a primary frequency modulation method and device for a new energy station containing energy storage, and the method comprises the steps: building a self-adaptive control model of the virtual inertia and damping coefficient of the new energy station based on the rotational inertia of a synchronous generator and the control direction of the damping coefficient through the angular frequency variation and the angular frequency change rate; taking the minimum angular frequency cumulative variation in the sampling time period as a target function of the adaptive control model; based on the objective function, an improved particle swarm algorithm is adopted to iteratively solve the adaptive control model, and optimal solutions of the virtual inertia and the damping coefficient are obtained; constructing an inertia response stage frequency adjustment coefficient according to the optimal solution of the virtual inertia and the damping coefficient; constructing a variable coefficient droop control model according to the inertia response stage frequency adjustment coefficient and the droop control stage frequency adjustment coefficient; and performing primary frequency modulation control on the new energy station containing energy storage based on the variable coefficient droop control model. According to the invention, VSG control and droop control combining new energy power generation and energy storage are realized, and comprehensive primary frequency modulation control is carried out.

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.