163 results about "Low-frequency oscillation" patented technology

The invention belongs to the technical field of matching control of a network construction type system, and particularly discloses a power feedback control method suitable for matching control low-frequency oscillation suppression, which comprises the following steps: establishing a power-frequency transfer relation of a multi-matching control parallel system, analyzing the torque of the multi-matching control parallel system based on a damping torque method, and calculating the power-frequency transfer relation of the multi-matching control parallel system; determining an introduction factor of a negative damping torque component in the multi-matching control parallel system and a stability condition in the multi-matching control parallel system; and then additional damping control based on power feedback is designed through a lead-lag compensator, a negative damping torque part in the multi-matching control parallel system is compensated, and power feedback control is completed. According to the method, the problems that the dynamic response of the whole system becomes extremely complex due to the dynamic interaction among the converters when a plurality of matched control network-forming converters exist in the network-forming system, and the oscillation suppression effect under the multi-machine system is difficult to guarantee by the existing suppression strategy are solved.

The invention discloses a multi-motor cooperative control method and system based on speed compensation, particularly relates to the technical field of industrial multi-motor control, and is used for solving the problems of compensation misalignment and system oscillation caused by an existing parameter asynchronous drift working condition. Current and voltage signals of each motor are collected in real time, and dynamic resistance and inductance parameters are calculated on line; constructing a parameter variation causal entropy network to quantify causal influence intensity of single machine abnormity on the system, and synchronously generating a system collaborative vulnerability index to realize risk penetration perception; when low-frequency oscillation is detected, harmonic components are extracted, and a sensitivity grading model of parameter mismatch and oscillation frequency is established; a dominant compensation role is distributed based on causal entropy to focus on a key disturbance source, a dynamic amplitude limiting instruction is generated according to collaborative vulnerability to adapt to system stability, and resonance suppression priorities are distributed according to sensitivity levels to optimize resource configuration; and finally, a torque instruction is reconstructed and synchronously issued, so that cross-equipment accurate transmission of compensation energy is realized, and mechanical coupling oscillation is eliminated.

The invention relates to the technical field of power grid energy storage control, and particularly discloses a network construction type energy storage system and a control method thereof, and the system comprises a parameter collection module which obtains the voltage, frequency, short-circuit capacity ratio, phase angle and other power grid operation parameters of a grid-connected point in real time; the scene recognition module judges the power grid scene of the energy storage system according to the acquired parameters, wherein the power grid scene comprises a weak power grid scene, a fault scene, an oscillation scene, a phase angle jump scene and a power loss scene; the strategy library module stores control strategies for each scene, including active / reactive control, active / reactive decoupling, overload support, low-frequency oscillation suppression, phase angle stabilization and black start strategies; and the adaptive control module retrieves and calls a corresponding strategy from a strategy library according to an identification result, performs adaptive control on the energy storage system, and realizes intelligent response and stable support for a complex power grid environment. According to the invention, intelligent response and stable support of the energy storage system to a complex power grid environment are effectively realized.

The invention discloses a multi-branch power system stabilizer suitable for a wind-thermal bundling system, which adopts a cooperative control structure in which a low-frequency branch and a subsynchronous branch are connected in parallel, and suppresses low-frequency oscillation in a frequency band of 0.1-4Hz through a second-order filtering module, a blocking compensation module and a lead-lag module of the low-frequency branch. And the subsynchronous branch extracts a subsynchronous risk mode based on an inverse transformation matrix of a generator shafting torsional vibration mode quantity, and directionally injects a damping signal in combination with a phase compensation module to suppress subsynchronous oscillation in a frequency band of 10-50 Hz. And the parallel output module performs superposition amplitude limiting on the multi-branch signals and then accesses an excitation regulator to dynamically regulate the electromagnetic torque so as to realize wide-frequency-domain oscillation suppression. Through modal quantity directional control, parameter adaptive setting and multi-branch dynamic decoupling, the problems of insufficient multi-band suppression capability, parameter mismatch, controller conflict and the like of a traditional power system stabilizer in a wind-fire coupling system are solved, and the stability and robustness of a new energy high-permeability power grid are remarkably improved.

The invention discloses a liquid cooling heat dissipation control system of a charging pile, relates to the technical field of energy storage charging piles, and solves the problems of low-frequency oscillation and energy consumption fluctuation caused by independent closed-loop adjustment of a pump and a fan and fault false alarm and failure alarm caused by fixed threshold diagnosis in the prior art. The collection module is used for synchronously collecting and filtering the cooling liquid inlet and outlet temperature, the power module temperature, the pump current and the fan rotating speed; a first prediction modeling module is adopted to generate thermal load prediction and time delay compensation parameters; constructing a self-adaptive baseline relationship between the pump flow and the heat exchange efficiency of the fan through a second baseline modeling module; performing dynamic anomaly judgment based on the residual sequence through a residual detection module; the cooperative scheduling module is used for solving the control track of the pump and the fan by combining the prediction result, the baseline parameter and the abnormal label on the basis of a model prediction control framework; according to the invention, the coordination of liquid cooling heat dissipation control and the adaptability of fault diagnosis are greatly improved.

The invention relates to the technical field of offshore wind power grid connection, in particular to a low-frequency oscillation suppression method for an offshore wind power synchronous machine grid connection system, which comprises the following steps: acquiring inherent parameters of the synchronous machine grid connection system and active power reference instructions of each fan of an offshore wind power plant; according to the inherent parameters, control parameters of a preset damping controller are determined, and the damping controller is configured based on the control parameters; acquiring an actual operation frequency signal of the offshore low-frequency power grid in real time, and comparing the actual operation frequency signal with a preset rated frequency of the offshore low-frequency power grid to obtain a frequency deviation signal; inputting the frequency deviation signal into a configured damping controller, and outputting a damping power instruction; and superposing the damping power instruction and the active power reference instruction to generate an active power control instruction. According to the invention, the low-frequency oscillation of the new energy synchronous machine grid-connected system can be effectively suppressed, and meanwhile, the situation that the grid-connected safety is threatened due to the great fluctuation of the terminal voltage of the motor caused by suppression measures is avoided.

The invention provides a method and a system for suppressing low-frequency oscillation of a network-forming converter under a weak power grid, and the method comprises the steps: obtaining a power grid short-circuit ratio through employing a preset dual-mode identification strategy, adaptively adjusting the control parameters of the network-forming converter through a preset parameter mapping relation, carrying out the stability sufficiency verification of the adjusted control parameters, and obtaining the low-frequency oscillation of the network-forming converter under the weak power grid. After verification is passed, the adjusted control parameters are applied to a virtual synchronous machine control algorithm to execute grid-connected control, low-frequency oscillation characteristics are extracted from monitored grid-connected point frequency signals, and an enhanced suppression mechanism is triggered after the low-frequency oscillation characteristics exceed a threshold value; real-time sensing of power grid intensity, multi-parameter collaborative adaptive adjustment, active monitoring and rapid suppression of low-frequency oscillation and continuous self-learning optimization are realized, stability adequacy check is realized, and the problem of low-frequency oscillation of a grid-forming converter under a weak power grid is effectively solved.

A grid connection inverter system includes a converter, an additional damping controller, a sampling circuit, and a controller. The converter is configured to output a grid connection voltage, a grid connection current, and power to the power grid. The sampling circuit is configured to detect the grid connection voltage, the grid connection current, and a power grid frequency of the power grid. The additional damping controller is configured to output a power additional value to the controller based on the grid connection voltage and the power grid frequency when the power grid is in a low-frequency oscillation state, where the power additional value includes an active power additional value and a reactive power additional value. The controller is configured to adjust, based on the power additional value, reactive power and active power that are output by the converter.

The invention relates to a variable-speed pumped storage group power system low-frequency oscillation self-adaptive control method, and relates to the field of power control, and the method comprises the steps: processing power system operation data and energy storage group power generation monitoring power through a mode recognizer, and outputting a first low-frequency oscillation mode; when the mode belongs to the low-frequency abnormal oscillation mode, a water turbine mechanical energy prediction network is called, a mode recognizer is combined, an optimization algorithm is executed on unit control parameters, and the recommended unit guide vane opening degree, the recommended unit operation frequency and the recommended unit rotation speed set point are obtained; controlling a water turbine according to the recommended unit guide vane opening and the recommended unit operation frequency, and controlling an alternating current excitation device according to the recommended unit rotation speed set point. The technical problem that in the prior art, low-frequency oscillation control is achieved depending on adjustment of physical components, and consequently adaptability is poor is solved.

The invention provides a signal automatic patrol and abnormity intelligent analysis method and device based on a centralized control center. By constructing a patrol logic control mechanism and combining real-time data acquisition and operation trend analysis, abnormal states and potential fault symptoms occurring in the operation process of the power equipment are identified, periodic or real-time analysis is performed on the operation condition of a target object, and a patrol report and an abnormal grade division result are automatically generated. The method can achieve the intelligent recognition and response of ultralow frequency oscillation, signal fluctuation and other characteristic problems in new power system scenes such as new energy access, facilitates the improvement of the intelligent level of operation monitoring of a centralized control center, and improves the early warning capability of equipment faults and the accident response efficiency. And the operation risk and the system disturbance caused by monitoring omission are avoided.

The invention relates to the field of power systems, in particular to a method and system for improving the low-frequency oscillation suppression capability of a power system stabilizer, and the method comprises the steps: building an excitation regulator hardware-in-loop simulation platform to form a closed-loop test environment; constructing a model containing prime mover forced oscillation and generator special operation conditions; configuring simulation parameters based on the actual constant value of the unit; injecting multi-modal disturbance and acquiring a dynamic signal; calculating a multi-dimensional index for evaluating the low-frequency oscillation suppression capability of the PSS; generating a full-working-condition adaptability judgment result through a dynamic weight distribution algorithm; and if not, optimizing the PSS parameters by taking the weighted comprehensive score as a target, and repeating the test until the requirements are met. According to the invention, the problem that the low-frequency oscillation suppression capability of the traditional PSS parameter setting is insufficient under a special working condition is solved.

The invention provides a network construction converter control method, which comprises the following steps: decoupling an original transient damping coefficient and an original primary frequency modulation coefficient which are mutually coupled in an original VSG control system to obtain an active steady-state primary frequency modulation coefficient K [omega] and an active transient damping coefficient KD, and further respectively establishing active steady-state and transient independent regulation channels; active control steady-state deviation is realized through an active steady-state primary frequency modulation coefficient K [omega], response speed control is realized by combining a controller function Gdamp (s), active transient damping coefficient KD is adjusted to be combined with a second-order filter function GLPF (s) to control active low-frequency oscillation suppression, and independent control and adjustment of active steady state and transient state are realized. The adaptability of a network-forming converter control strategy to different power grid intensities, system inertias and load characteristics is further improved, and the problems that in an existing VSG control method, the control effect coupling of an original transient damping coefficient and an original primary frequency modulation coefficient is too high, and the requirement for independent adjustment of active power dynamic and steady-state characteristics cannot be met are solved.

This invention discloses a method for designing an additional stabilizer to suppress low-frequency oscillations in a doubly-fed induction generator (DFIG) wind turbine. The method includes: constructing the input and output terminals of the additional stabilizer and designing the control loop; plotting the Bode plot of the closed-loop transfer function of the original system to determine the dominant oscillation frequency w. d and the phase lag value θ h Perform parameter tuning calculations for the phase compensation stage in the control loop; select the proportional coefficient K of the isolation stage of the additional stabilizer. e The quality coefficient ξ of the second-order bandstop filter with added stabilizer s and resonance coefficient K s Initialize the values; calculate the time δt required to suppress the disturbance and perform iterative calculations; and obtain the optimal parameter K. e ξ s and K s The values ​​are then substituted into the expressions for the isolation stage and the second-order band-stop filter. The additional stabilizer and design method for suppressing low-frequency oscillations in doubly-fed induction generator (DFIG) wind turbines provided by this invention can effectively suppress low-frequency oscillations in DFIG grid-connected systems and significantly enhance the system's stability under small disturbances.

The application discloses a kind of power system low-frequency oscillation characteristic signal extraction methods, comprising: the electrical variation data of acquisition each generator outlet is preprocessed;Through complementary ensemble empirical mode decomposition, variation data is decomposed, and noise component is filtered out;SPA smoothing algorithm is used to process the electrical variation signal after denoising;Prony method is used to decompose the signal after smoothing, and the amplitude and phase of each frequency component are extracted;The application has more excellent noise suppression capability and signal fidelity, can effectively solve the problem of modal aliasing, can adaptively identify and filter out various noise components, and shows good adaptability to noise interference under different operating conditions of power system;SPA smoothing algorithm reduces the error introduced by complementary ensemble empirical mode decomposition while effectively retaining the key features of low-frequency oscillation;Combined with Prony method, the characteristic parameters of the oscillation signal can be accurately extracted in a strong noise environment, providing a reliable data basis for low-frequency oscillation source identification.

This invention discloses a method for achieving phase-frequency synchronization based on a coupled neuron oscillator system. First, a cross-frequency nonlinear coupling model is constructed by establishing a two-connection structure based on exogenous input and local interaction in the Poincaré model. By introducing nonlinear coupling, phase-frequency synchronization of the coupled neuron oscillators is achieved. Spectral analysis is then used to determine the effect of the coupling strength between low-frequency and high-frequency neurons on phase-frequency synchronization. Theoretical analysis is then used to determine the influence of the low-frequency oscillation phase on the high-frequency oscillation frequency and its mechanism.

The invention discloses a phase-frequency synchronization implementation method based on a coupled neuron oscillator system. The method comprises the following steps: firstly, establishing two connection structures of exogenous input and local interaction of a Poincare model to construct a cross-frequency nonlinear coupling model, and introducing nonlinear coupling to realize phase-frequency synchronization of coupled neuron oscillators; and determining the influence of the coupling effect strength between the low-frequency neurons and the high-frequency neurons on phase-frequency synchronization by adopting a spectrum analysis method. And determining the influence of the low-frequency oscillation phase on the high-frequency oscillation frequency and the mechanism thereof based on theoretical analysis.

The invention discloses a measurement regulation and control method and system of an atomization tester, and aims to solve the problem that a Peltier temperature control system is easy to generate overshoot and low-frequency oscillation at a critical point. The method comprises the following steps: S1, setting a target temperature and a precision tolerance interval; s2, rapidly cooling to a dynamic switching temperature; s3, switching to a precise approaching mode, and driving a Peltier by adopting a frequency self-adaptive micro-current pulse sequence based on the residual heat to realize overshoot-free temperature positioning; and S4, when the temperature meets the steady-state conditions of the mean value, the standard deviation and the trend slope, switching to a steady-state holding mode, performing spectral analysis on the temperature sequence to distinguish high-frequency disturbance and low-frequency drift, and only applying intelligent micro-compensation subjected to nonlinear filtering to the low-frequency drift. According to the invention, through multi-stage strategy matching, pulse control based on energy prediction and intelligent disturbance identification, rapid, accurate and stable control of the temperature of the condensation plate is realized, and the reproducibility of a test result is significantly improved.

The invention discloses a method for extracting characteristic parameters of a low-frequency oscillation mode of a power system, and in the power system, a time sequence signal generally refers to records of parameters such as voltage, frequency and the like in the system along with time change. In order to effectively analyze the signals, singular spectrum analysis is firstly carried out, the singular spectrum analysis comprises the steps of converting the time sequence signals into a track matrix, then carrying out singular value decomposition on the track matrix, and reconstructing a time empirical orthogonal function obtained after singular value matrix decomposition, and at the moment, a denoised reconstructed signal is obtained; and performing matrix pencil analysis on the reconstructed signal, and extracting characteristic parameters of the low-frequency oscillation mode. In this way, the characteristic parameters of the low-frequency oscillation mode can be accurately extracted under the condition that the identification integrity is guaranteed.

The application provides a steam turbine unit low-frequency oscillation simulation model establishing method and device, the steam turbine unit low-frequency oscillation simulation model establishing method includes: generating initial valve position flow characteristic function according to the design parameters and field actual data of steam turbine unit;Synthetic valve position distribution characteristic function is generated according to the initial valve position flow characteristic function and comprehensive valve position command;The DEH control model, field equipment model and the comprehensive valve position distribution characteristic function of the steam turbine unit are used to generate the steam turbine unit low-frequency oscillation simulation model.The application solves the influence of the flow characteristics of different valves on the regulating characteristics of the unit, especially under the condition that the flow characteristic line decreases linearly, the low-frequency oscillation of the unit caused by the decrease of the steady state of the unit itself, and the problem that the low-frequency oscillation problem cannot be simulated by the model, and further provides the basis for the recurrence, positioning and solving of the problem.

The invention provides a grid-connected hydroelectric system ultralow frequency oscillation damping joint parameter optimization method based on deep reinforcement learning model identification. The method comprises the following steps: constructing a hydroelectric generating set speed regulation model; defining other models of the power system except the hydroelectric generating set in the hydroelectric system as external system models, and identifying a transfer function model of the external system models by adopting a deep reinforcement learning algorithm, so as to obtain a relationship between the guide vane opening degree of the hydroelectric generating set in the hydroelectric system and the system frequency response; based on a hydroelectric generating set speed regulation model and an external system model, an additional damping controller is used as one of control links of a speed regulator, the additional damping controller and the speed regulator are regarded as a whole, and parameters of the speed regulator and parameters of the additional damping controller are optimized based on a chaotic particle swarm algorithm. According to the method, the phase compensation of the mechanical torque of the hydroelectric generating set is realized on the whole through parameter joint optimization, and the damping characteristic of the set is improved, so that the ultra-low frequency oscillation is effectively inhibited.

The invention discloses a low-frequency oscillation optimization method of an electric power system containing an SDC and a DFIG based on balanced truncation and series control compensation. The low-frequency oscillation optimization method comprises the following steps: 1, establishing a linear analysis model of a wind power grid-connected electric power system containing a synchronous generator SG, the DFIG and an additional damping controller SDC; 2, truncation processing is carried out on a state matrix in the state matrix equation of the main system after balance transformation, and a main system state matrix equation after order reduction is obtained; 3, constructing a time domain matrix of the system containing the series feedback controller to obtain a system state matrix equation containing the series feedback controller; 4, solving a characteristic value and a damping ratio of the system state matrix equation containing the series feedback controller, and constructing a control parameter analytic expression of the characteristic value and the damping ratio to the SDC in a low-frequency oscillation mode; and 5, solving by using the low-frequency oscillation optimization model of the SDC to obtain the optimal adjustment amount of the control parameters of the SDC. According to the invention, the control compensator is added to optimize the characteristic value under low-frequency oscillation and the control parameters of the SDC, so that the stability of the system is optimized.

Embodiments of the present application disclose a power system ultra-low frequency oscillation suppression method, device, equipment and storage medium, the method comprises: acquiring the frequency signal data of the power system and the rotor speed of each wind turbine generator collected by the synchronous phasor measurement device; using the oscillation frequency and the rotor speed of each wind turbine generator to determine whether each wind turbine generator enters the system frequency ultra-low frequency oscillation suppression mode; if any wind turbine generator enters the system frequency ultra-low frequency oscillation suppression mode, then correct the active output reference power of any target wind turbine generator entering the system frequency ultra-low frequency oscillation suppression mode according to the oscillation frequency and amplitude, and realize the suppression of the system frequency ultra-low frequency oscillation. The present application fully considers the flexible control potential of wind power frequency, can realize the active participation of wind power in system frequency ultra-low frequency oscillation suppression, improve system damping and reduce system ultra-low frequency oscillation risk, fully tap the potential of wind power frequency stability control and improve system operation stability.

The invention discloses a reinforcement learning algorithm-based low-frequency oscillation online suppression method for a double-fed fan wide-area additional damper, and the method comprises the following steps: obtaining the operation data of a wind power generation system, including the wind speed, the fan output power, the rotating speed and the power grid frequency; preprocessing the acquired data, and performing detrending and normalization processing by using a band-pass filter; using a depth deterministic strategy gradient algorithm to train the model to predict the operation state of the fan and the oscillation condition of the system; based on the trained depth deterministic strategy gradient algorithm model, an optimal damping control strategy is generated, and operation parameters of the draught fan are adjusted in real time; the generated damping control strategy is applied to a fan control system, the damping characteristic of the system is improved, and low-frequency oscillation is reduced.

The invention provides a low-frequency oscillation data filtering method and device for a thermal power generating unit, and the method comprises the steps: carrying out the signal conversion of original synchronous vector measurement data or a power signal measured by the unit through a preset sliding window data region, and generating symmetric signal data; performing data preprocessing on the symmetrical signal data to generate preprocessed low-frequency oscillation signal data; filtering and denoising processing is carried out on the preprocessed low-frequency oscillation signal data through a pre-constructed composite filter to generate low-frequency filtering signal data, and the composite filter is constructed based on morphology and can detect low-frequency oscillation information in real time; the low-frequency oscillation data and the normal load fluctuation are distinguished and discriminated, the low-frequency oscillation data are filtered, various noise signals are effectively eliminated, the application range is wide, and the filtering accuracy is improved; the calculation amount is controlled, and the stability and reliability of the calculation result are improved, so that an effective data basis is provided for early warning identification of subsequent low-frequency oscillation.

The invention discloses a thermal power generating unit low-frequency oscillation fault diagnosis method and system based on multi-source data analysis, and mainly relates to the technical field of thermal power generating unit fault diagnosis. Comprising the steps that a multi-source signal acquisition network is constructed, multi-source unit operation sensing of a preset monitoring window is executed on a target thermal power unit, and a speed regulator oil pressure pulsation sequence, a shaft system torsional vibration angular displacement sequence, a boiler heat storage coefficient sequence and a power grid power angle sequence are obtained; cascade time-frequency analysis is carried out; performing joint frequency matching and mode identification to obtain a plurality of abnormal low-frequency oscillation modes; and performing fault scene diagnosis on the plurality of abnormal low-frequency oscillation modes to obtain a target diagnosis result. The low-frequency oscillation fault diagnosis method has the beneficial effects that the technical problem of high error rate of low-frequency oscillation fault diagnosis caused by lack of reliable analysis of signals in the prior art is solved, and the technical effect of improving the fault diagnosis accuracy is achieved.

The application discloses a kind of grey-box isomeric doubly-fed wind farm low-frequency oscillation suppression method based on virtual damping modulation, comprising: 1 grey-box isomeric doubly-fed wind farm is divided into white box and black box unit, and the state space model of all white box units of traditional doubly-fed induction generator, virtual synchronous machine control and installation additional damping controller is established;2 improve subspace identification method to obtain black box unit model;3. white box and black box model are coupled by feedback interconnection, and the overall state space model of wind farm is constructed;4 determine target low-frequency oscillation mode based on coefficient matrix;5 real-time extraction and target mode strong correlation common bus power signal, combined with adaptive time-varying gain generates virtual synchronous machine damping coefficient adjustment amount;6 according to complex mode controllability factor and unit distribution coefficient, allocate the virtual damping modulation instruction of each white box unit.The application realizes the identification and suppression of grey-box isomeric doubly-fed wind farm low-frequency oscillation, and improves the ability of wind farm damping low-frequency oscillation.

The invention discloses a grid-connected VSG low-frequency oscillation suppression strategy for reactive loop forward channel phase correction, which is characterized in that a P / Q-omega / U low-frequency small signal model of a grid-connected VSG and a power grid is constructed, and analysis is carried out by adopting an argument principle, so that the system stability depends on a determinant Z sigma (s) of the sum of equivalent P / Q-omega / U power impedance of the grid-connected VSG and the power grid. Through research, under interactive coupling of an active loop and a reactive loop, low-frequency phase lag of a grid-connected VSG reactive loop forward channel enables Zsigma (s) to have a negative resistive component, and low-frequency oscillation may be caused. In combination with an impedance passivity design theory, a feedforward additional branch is introduced into a reactive loop forward channel to carry out lead correction on phase lag of an integration element, so that suppression of low-frequency oscillation is realized. According to the invention, the active loop transient inertia damping support control and the reactive loop steady-state voltage support control of the grid-connected VSG are not changed, the structure is simple, and the method is easy to realize.

The invention discloses a low-frequency oscillation stability evaluation method for a hybrid heterogeneous system of network-following network-forming network type equipment. The method comprises the following steps: simplifying a hybrid heterogeneous system of a network construction type device to obtain an expanded admittance matrix, constructing a network construction type equivalent single-feed-in system, establishing a system matrix of the network construction type equivalent single-feed-in system, and further obtaining a power grid strength index and a critical value of the system; and based on the power grid strength index and the critical value thereof, judging the low-frequency oscillation stability of the hybrid heterogeneous system of the networking type equipment, and determining the low-frequency oscillation stability margin, thereby realizing low-frequency oscillation stability evaluation. According to the method disclosed by the invention, the interaction among a plurality of network-constructing and network-following devices and the difference of parameters and capacities among the devices are considered, the low-frequency oscillation stability of the series-parallel heterogeneous system can be quickly and effectively evaluated, and a powerful theoretical support is provided for planning and safe and stable operation of a novel power system.

The invention relates to the technical field of electric power control, in particular to a million-kilowatt compressed air energy storage low-frequency oscillation restraining method, device and equipment, and the method comprises the steps that the rotating speed difference increment of a compressor during low-frequency oscillation of the frequency of an electric power system is obtained, an additional damping control model is input to generate an adjusting instruction of the mass flow rate of a gas storage, and the adjusting instruction is calculated; and the target opening degree of the regulating valve is determined by using an opening degree valve control model in combination with the rated mass flow rate, so that the actual mass flow rate of the gas storage is accurately controlled, and compressed air with the actual mass flow rate after being regulated in the gas storage enters a heater to be heated and then enters a turbine to do work. And adjusting the power of the turbine based on the output power and the mass flow of the turbine, thereby realizing self-adaptive adjustment of the mass flow through real-time estimation and compensation of system disturbance, further controlling the output power of compressed air energy storage, realizing effective suppression of low-frequency oscillation of a power grid, enhancing damping of a power system, and improving the stability of the power system.

The present application relates to a kind of power control method and system for inhibiting low-frequency oscillation of alternating current network, when low-frequency oscillation occurs in alternating current network, direct current branch is connected between any two busbars in low-frequency oscillation region of alternating current network;The initial output of unit and the initial transmission power of direct current branch of alternating current network are obtained;The initial output of unit and the initial transmission power of direct current branch are substituted as initial state information into power optimization model, and the optimal unit output and the optimal transmission power of direct current branch of alternating current network are obtained by optimizing and solving model.The present application improves the damping ratio when low-frequency oscillation occurs in alternating current network by connecting direct current branch in alternating current network and optimizing the unit output and the transmission power of direct current branch in alternating current network when low-frequency oscillation occurs in alternating current network, and then reduces the oscillation degree of alternating current network, improves the operating stability of alternating current network.