13results about How to "Suppresses frequency fluctuations" patented technology

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 relates to the technical field of unit control, in particular to a control method, system and equipment based on lithium battery energy storage and a medium, and the method comprises the steps: obtaining power grid characteristic parameters, and determining a target transfer function expected to be realized; constructing a power grid frequency response model based on lithium battery energy storage, and solving a target transfer function according to the power grid frequency response model under the condition that a set power grid system frequency response index and frequency adjustment time are used as constraint conditions; deducing a frequency modulation transfer function of the energy storage system according to the target transfer function and the synchronous machine transfer function; and obtaining a control instruction of the energy storage system by using the transfer function, and responding to the power grid according to the control instruction. The method effectively solves the problems of stability and reliability of the lithium battery energy storage system in control.

A resonance device (1) according to the present invention is provided with: a resonator (10) having: a vibration unit (110); a holding part (140) disposed on at least a portion of the periphery of the vibrating part (110); and a support arm (150) connecting the vibrating part (110) and the holding part (140). And a first substrate (20) having a first bottom plate (22) provided at a distance from the vibrating part (110) in the thickness direction, a first side wall (23) extending from the peripheral edge of the first bottom plate (22) toward the holding part (140), and a first restricting part (25) extending from the peripheral edge of the first bottom plate (22) to the holding part (140). A first metal film (M2) functioning as a getter is provided at a tip portion of the first restricting portion (25), the tip portion facing the resonator (10) in the thickness direction, such that the distance between the first restricting portion (25) and the resonator (10) in the thickness direction is smaller than the distance between the resonator (10) and the first base plate (22).

The invention relates to the technical field of new energy power generation, in particular to a safety boundary constraint-based frequency controller parameter optimization and control coefficient optimization method, which comprises the following steps of: constructing a RoCoF safety boundary by taking system inertia as an influence factor; analyzing influence factors of frequency change of a sending end, and setting a frequency segmentation interval of actions of the wind power plant and the interconnection region; optimizing a control coefficient of the frequency controller, and modulating the optimized coefficient to form an active power modulation instruction; detecting the frequency change of the wind power plant and the frequency controller by setting the value of the frequency segmentation interval; validity verification is carried out through simulation verification, and the influences of different control strategies on the dynamic characteristics of the system frequency are compared. The method has the beneficial effects that the response capability of the wind power plant to the frequency change of the power grid is enhanced by optimizing the control coefficient of the wind power plant; by dynamically adjusting the control coefficient, the wind power plant can provide more accurate active power support according to the real-time frequency state of the power grid.

The invention discloses a control method and system for a photovoltaic power generation system to participate in power grid frequency modulation. The method comprises the following steps: monitoring a frequency signal of a power grid in real time through a frequency measuring device; when the monitored power grid frequency deviates from the rated frequency, recording a power grid frequency deviation value; determining the working condition of the power grid according to the recorded power grid frequency deviation, and calculating the output power regulation quantity of the photovoltaic power generation system by adopting a preset frequency regulation control algorithm; judging whether the frequency modulation capability of the photovoltaic power generation system reaches a preset condition or not according to the output capability of the photovoltaic power generation system; if yes, performing frequency modulation on the power grid only through the photovoltaic power generation system; otherwise, assisting the photovoltaic power generation system to jointly participate in frequency modulation through the energy storage system. Existing photovoltaic power generation facilities and energy storage systems are utilized to participate in power grid frequency modulation, the frequency modulation cost can be greatly reduced, economic benefits of a photovoltaic power generation system can be improved, and development and expansion of the new energy industry can be promoted.

The invention relates to a data-driven load frequency control method for a power system containing a network-forming converter. The method comprises the following steps: firstly, according to a power system topology, constructing a time-delay nonlinear load frequency control model containing a network construction type converter; taking the model as an environment, simulating operation acquisition data by using a PID controller, and constructing a pre-training data set; then, an agent of an actor-commentator framework is constructed, and offline pre-training is completed through a data set; and finally, accessing the intelligent agent into a system for online interaction, outputting a frequency modulation instruction by an action network, and iteratively updating parameters by combining an award and a loss function to realize self-adaptive control. Compared with the prior art, the method has the advantages of being adaptive to the dynamic characteristics of the GFM, efficient, high in robustness and the like.

The invention discloses a wind power plant energy storage virtual inertia control method and system based on fuzzy active disturbance rejection control. The method comprises the following steps: monitoring a power grid frequency deviation and a change rate thereof in real time; inputting the monitored data into a fuzzy active disturbance rejection controller; estimating the total disturbance of the system in real time by using an extended state observer; dynamically setting parameters of the extended state observer based on a fuzzy rule; virtual inertia response power which should be provided by the energy storage system is calculated according to the output of the extended state observer and nonlinear state error feedback; the virtual inertia response power serves as an additional active power reference instruction to be issued to the energy storage system; and the energy storage system executes the power reference instruction and provides frequency support for the power grid. According to the method, the energy storage system can quickly respond to the frequency change of the power grid, the lowest point of the frequency is effectively improved, the frequency fluctuation is inhibited, the operation stability of the system is ensured, and the method has the advantages of quick response, strong robustness and good adaptive capacity.

The invention provides a virtual synchronous generator parameter adaptive prediction control method based on a fuzzy controller in order to optimize the frequency dynamic response performance of a virtual synchronous generator in a micro-grid. According to the method, firstly, a fuzzy controller is designed by collecting physical quantities such as voltage and current of a system, and the inertia coefficient and the damping coefficient of the virtual synchronous generator are adjusted in a self-adaptive mode; the adjusted inertia coefficient and damping are used for modifying a prediction model, and the optimal reference power of the virtual synchronous generator is solved through a frequency constraint equation of the system. By adopting the control method provided by the invention, the frequency dynamic response performance of the system can be enhanced, and the stability of the micro-grid system is improved.

The invention discloses a wind power plant three-segment frequency modulation control strategy considering wake effect time lag influence, and belongs to the field of novel power system frequency stabilization and control. According to the control strategy, three comprehensive inertia control strategies are designed according to different frequency curve characteristics and expected purposes in different time periods in frequency modulation by combining a wake flow effect and a time lag effect when a fan participates in frequency modulation of a power system. In the first stage, in order to quickly respond to load disturbance, improve an FN point and accelerate frequency stability, comprehensive inertia control considering rotating speed and frequency variation is designed; in the second stage, the influence of a wake effect and a time-delay effect on frequency fluctuation is considered, a self-adaptive virtual inertia control strategy based on rotor kinetic energy is designed, and the frequency fluctuation is effectively inhibited; and in the third stage, a comprehensive inertia control strategy changing along with time is adopted, and the dynamic adjustment is beneficial to helping the system frequency to quickly reach a steady-state value under the condition that wake flow disturbance is reduced.

A power supply-demand adjustment device performs output distribution in accordance with an advantage order, to M adjustment power supplies (M is a natural number of N or less) among N adjustment power supplies (N is a natural number of 2 or more) in a power system, based on adjustment management information and supply-demand imbalance. The adjustment management information indicates an output change rate, a distributed output, and an output limit value for each adjustment power supply. For each period, the output distribution satisfying the following (x) and (y) is performed. (x) Distribution of an output to the adjustment power supply in an increasing direction in ascending order of the adjustment cost, or distribution of the output to the adjustment power supply in a decreasing direction in descending order of the adjustment cost. (y) That, regardless of whether an output direction is the increasing direction or the decreasing direction, an output to be distributed to the adjustment power supply in the period is in a reducing direction with respect to reduction in a difference between the distributed output to the adjustment power supply and the output limit value of the adjustment power supply.

This disclosure pertains to the field of energy storage technology, and specifically relates to a method for frequency regulation using a hybrid energy storage system, a hybrid energy storage system, an apparatus, and a product. The method includes: determining the current grid frequency regulation stage based on grid frequency parameters; determining whether each sub-energy storage system in the hybrid energy storage system participates in frequency regulation based on the current grid frequency regulation stage; allocating power to each sub-energy storage system participating in frequency regulation using a power allocation predictive control model; and controlling the power of each participating sub-energy storage system using a corresponding energy storage system predictive control model based on the power allocated to each participating sub-energy storage system. This disclosure enables sub-energy storage systems to participate in frequency regulation on demand according to their own characteristics, achieving coordinated frequency regulation of hybrid energy storage, compensating for the shortcomings in frequency regulation under constant-speed pumped storage and pumped water conditions, improving the timeliness and effectiveness of frequency regulation, while hierarchical control ensures precise matching of power output to frequency regulation needs and suppresses grid frequency fluctuations.

The control device adjusts the amount of fuel based on the rotational speed of the gas turbine so that the frequency of the electric power output by the generator that generates electric power through the gas turbine is within a certain range, and includes: a load value acquisition unit that, when the load applied to the generator is cut off, acquires the value of the load applied to the generator after the cut-off, that is, the load value; a calculation unit that calculates the load value and the deviation to calculate the value of the load different from the load value, that is, the adjustment value; and an instruction unit that outputs a first signal that causes the generator to output electric power equivalent to the adjustment value, thereby adjusting the amount of fuel.

The invention relates to the field of parameter optimization, and discloses a primary frequency modulation parameter optimization control method and system based on big data analysis, which are used for improving the frequency stability control level of a power system. Comprising the steps of collecting historical operation data of a power system, identifying frequency disturbance events to form an event set, extracting performance features in combination with system working conditions to construct a feature knowledge base, further generating a mapping rule of system working condition categories and optimization parameters, and judging the working condition categories in real time and matching parameter recommendation values during online operation. And adaptively adjusting the parameters of the frequency modulation unit. And triggering a revision process when the parameters do not meet the safety condition. The primary frequency modulation effect of the power system can be effectively improved, and the safe and stable operation capability of the system is enhanced.