835 results about "Power Fluctuation" patented technology

The invention discloses a distributed power supply access-oriented power distribution network fault distance measurement method and system, and relates to the technical field of power systems, and the method comprises the steps: collecting the electrical parameters and operation states of distributed power supply access nodes in a power distribution network in real time, building a dynamic manifold model based on an ecological niche theory, and carrying out the calculation of the dynamic manifold model; adaptively adjusting manifold learning neighborhood parameters according to power fluctuation data included in the electrical parameters, and updating node ecological niches to reconstruct a dynamic manifold model; based on the reconstructed dynamic manifold model, fault features are extracted from three scales of a current harmonic component, a feed line inter-harmonic propagation path and whole network voltage influence, and a three-dimensional feature vector is generated through fusion of a graph correlation algorithm; based on the expanded fault sample library and the power fluctuation data, constructing a fault transfer relation model to predict a ground fault and a short circuit risk area; a fault source is modeled by adopting a topological neural network, and a fault point distance measurement value is output through state prediction and strategy deduction.

The invention relates to the technical field of network load prediction, and particularly discloses a power supply energy saving system and method based on a load prediction intelligent dormancy strategy, and the method comprises the steps: collecting base station service load and power supply power data, and employing a neural network to accurately fit the nonlinear relation between the two for adjusting the power; constructing a multi-mode service load prediction model, generating a power supply power adjustment instruction in advance, and adjusting the power in time when the load prediction deviation exceeds a threshold value; frequent power fluctuation is avoided through a dynamic threshold mechanism based on hysteresis comparison; a sleep and wake-up strategy and a buffer mechanism are established to ensure that the state of the power supply is switched only when the load changes continuously, so that the switching accuracy and stability are improved; self-adaptive sleep duration and progressive wake-up adjustment are introduced, so that smooth transition and intelligent energy conservation of power supply operation are realized; the method can improve the energy efficiency of the power supply and reduce the energy consumption.

The invention provides a wind power plant AGC optimization control method and system based on model prediction control, and relates to the technical field of model control, and the method comprises the steps: building an adaptive prediction model, carrying out the online identification of parameters through a recursive least square method, constructing an active power optimization objective function, solving a control instruction sequence, designing a feedback compensator, and correcting a control instruction. And finally, issuing to each fan to execute and realize closed-loop control. According to the method, the AGC control precision of the wind power plant can be improved, the power fluctuation is reduced, and the power grid friendliness and the adaptability of an AGC control system are enhanced.

The invention discloses an energy storage system cooperative control method and system for power grid frequency modulation, belongs to the field of power grid control, and particularly relates to power grid frequency control, and the method comprises the steps: collecting power output time sequence data of each energy storage system in a target power grid in response to a power grid frequency modulation instruction through data monitoring equipment, to identify a timing misalignment event due to communication delay or response difference; acquiring output power data of each time sequence dislocation event so as to judge whether a cooperative failure condition occurs among the energy storage systems or not; if it is determined that a cooperative failure condition occurs, generating a frequency modulation power task redistribution instruction with smooth power grid power fluctuation as a target according to the output power data, and obtaining delay data to generate a communication time sequence adjustment instruction synchronized with power distribution, so as to adjust the frequency modulation power task according to the communication time sequence adjustment instruction; and cooperative control of each energy storage system in the target power grid is realized. The stability of power frequency modulation of the power grid can be improved through cooperative control of the energy storage system in the power grid.

The invention relates to the technical field of AC / DC module control, and discloses an intelligent control method and system for multi-mode switching of an AC / DC module. According to the method, a dynamic topology mapping model is constructed according to an impedance spectrum matrix, and a physical connection relation is converted into a node admittance relation network; generating an energy distribution state sequence based on the power fluctuation vector, and analyzing migration constraint conditions among different operation modes by adopting an association rule mining algorithm; when an operation mode switching instruction is detected, activating a node admittance relation network in the dynamic topology mapping model, and inputting a current energy distribution state sequence to an association rule mining algorithm; according to a real-time matching result of the node admittance relation network and the migration constraint condition, generating a switching control instruction containing an impedance adjustment gradient and a power distribution weight; and the power semiconductor execution unit transmits the switching control instruction to the AC / DC module. According to the method, multi-mode intelligent switching control of the alternating-current and direct-current module can be realized.

The invention provides an active-disturbance-rejection full-wind-speed power smoothing method based on kinetic energy of a fan rotor, and belongs to the technical field of wind power control. The technical problem that the output power of a traditional wind turbine generator is unstable due to random fluctuation of the wind speed is solved. According to the technical scheme, the method comprises the following steps that S1, rotor kinetic energy is calculated based on a wind turbine kinetic model, and the effect of the rotor kinetic energy in power fluctuation stabilization is analyzed; s2, designing a first-order linear active disturbance rejection controller for rotating speed loop control; s3, designing a second-order linear active disturbance rejection controller for variable pitch control; and S4, dynamically generating an active power reference value by combining the kinetic energy of the rotor and an active disturbance rejection control technology, and controlling by coordinating a rotating speed ring and a variable pitch. The method has the beneficial effects that power fluctuation can be remarkably reduced under wind speed fluctuation and complex working conditions, the smoothness of power output is improved, meanwhile, the anti-interference capability and the dynamic stability of the system are enhanced, and efficient and stable operation of the wind driven generator system is ensured.

The invention relates to the technical field of new energy power system control, and relates to a power decoupling method for cooperative control of voltage feed-forward compensation and adaptive virtual impedance. The method comprises the following steps: acquiring a power grid current and a power grid voltage, and calculating a reactive power measured value and an active power measured value of a power grid; virtual synchronous machine control is carried out, and a voltage feed-forward pre-compensation item is introduced into a reactive power control loop; calculating a reactive power control loop after VSG compensation, and obtaining VSG output side voltage and instantaneous angular frequency; self-adaptive virtual impedance control is adopted, a self-adaptive virtual impedance reference value is calculated, line impedance is dynamically adjusted, and a voltage loop input instruction voltage is calculated according to the line impedance; and adjusting the output performance of the inverter according to the instruction voltage. According to the invention, the problem of power fluctuation caused by VSG output voltage amplitude variation is effectively solved, and the dynamic influence of a power coupling item is weakened.

The invention provides an optimization scheduling method and system for power distribution of an electrolytic cell group under a wind power fluctuation condition, and relates to the technical field of wind power grid-connected power generation control, and the method comprises the steps: collecting wind power plant power data and electrolytic cell operation parameters, carrying out the adaptive segmentation processing of the power data, constructing a fluctuation feature space, predicting the fluctuation risk, and carrying out the optimization scheduling of the power distribution of the electrolytic cell group. And an electrolytic cell regulation capability evaluation system is established and dynamically grouped, and a power regulation matrix is constructed to calculate an optimal power distribution proportion, so that coordinated regulation of wind power fluctuation by the electrolytic cell group is realized, and the system operation stability and the energy utilization efficiency are improved.

The invention provides a photovoltaic energy storage inverter power coordination control method based on an adaptive algorithm, and relates to the technical field of data processing, and the method comprises the steps: collecting the output power data of a photovoltaic module, the state data of an energy storage device, and the load demand data of a grid connection point, and carrying out the normalization processing of the data; calculating to obtain an initial power distribution parameter of the current period; respectively calculating a load change trend factor and a power fluctuation trend factor based on the load demand data and the output power data of the historical period, and coupling the load change trend factor and the power fluctuation trend factor to form a trend coupling factor; carrying out self-adaptive repair through a trend coupling factor; combining real-time grid-connected point load demand data with energy storage device state data to generate a target power distribution instruction and an energy storage charging and discharging adjustment instruction, and respectively issuing the instructions to an inverter control unit and an energy storage device control unit; according to the invention, the accuracy of the photovoltaic energy storage inverter power coordination control method is improved.

The invention provides a micro-grid control method, a program product and a readable storage medium. The micro-grid control method comprises the following steps: acquiring operation data of a micro-grid and each piece of network-forming equipment thereof, and environment data of an environment where the micro-grid is located; performing multi-source feature fusion processing on the collected operation data and environment data, and predicting the energy output, load demand and power fluctuation amplitude of the microgrid in a future preset time period based on the fused features; based on the prediction result and the current state of each piece of network construction type equipment, optimizing the voltage parameter and the frequency parameter of each piece of network construction type equipment; and issuing the optimized voltage parameters and frequency parameters serving as parameter adjustment instructions to the corresponding network construction type devices, so that the network construction type devices operate based on the issued parameter adjustment instructions. The method has the advantages that the voltage parameter and the frequency parameter of each piece of network construction equipment can be optimized, and a key foundation is laid for stable and efficient operation of the micro-grid.

The invention, which relates to the technical field of power grid electrical equipment monitoring, discloses an electrical equipment abnormal power state monitoring system comprising a data acquisition module, a data processing module, a monitoring analysis module and a management module. The monitoring analysis module comprises a power reference offset sub-module, a power fluctuation sub-module and a comprehensive abnormal power risk sub-module, the abnormal power state monitoring effect of the electrical equipment can be remarkably improved, the influence of multiple factors on power reference offset is considered by the system, the power reference can be accurately corrected, and power grid interaction factors can be effectively improved. Therefore, the abnormal power risk can be comprehensively and accurately assessed based on the power reference offset, the power fluctuation stability and multiple factors, so that the safe and stable operation of a smart power grid and a large-scale power grid can be powerfully ensured.

The invention relates to the technical field of data processing, and discloses a power sample data acquisition and classification method and system. The method comprises the following steps: synchronously acquiring active power, reactive power fluctuation and voltage harmonic data through a multi-point terminal, and constructing six types of characteristic index vector groups; a power load genetic optimization algorithm is used to optimize a classification threshold under power flow constraint; based on the optimal threshold value, clustering analysis is carried out through an EFC-KMeans algorithm in combination with impedance matrix characteristics; and inputting the clustering center into a multi-head power topology attention mechanism modeling node coupling relationship to realize power sample data classification and identification. The physical constraint conditions of the power system are effectively fused in the power sample data acquisition and classification process, so that the physical feasibility and engineering practicability of the classification result are improved.

The invention discloses a broadband oscillation risk prediction method and system based on wide-area broadband measurement, and relates to the technical field of wide-area broadband measurement. The method comprises the following steps: firstly, collecting grid-connected point high-frequency synchronous phasor data by using a PMU device at a photovoltaic field station side, and performing filtering and time mark calibration processing to eliminate noise and ensure time consistency; performing spectrum correlation analysis on wide-area multi-station PMU data based on time mark synchronization, screening broadband oscillation candidate features, and transmitting the broadband oscillation candidate features to a scheduling master station prediction network; and finally, inputting the real-time operation parameters of the power grid and historical oscillation sample data into the network, carrying out risk assessment and trend prediction, and assisting broadband oscillation early warning and prevention and control decision. According to the method, efficient fusion of multi-area equipment data is realized, a full-system broadband dynamic monitoring view angle is formed, the oscillation dynamic state is captured in real time, the risk is pre-judged, the broadband oscillation risk caused by new energy power fluctuation and power electronic equipment transient response can be dealt with, and the dynamic monitoring requirement of a novel power system is met.

The invention provides a hybrid energy storage optimization method and system considering fluctuation stabilization and energy storage protection, and relates to the technical field of hybrid energy storage optimization. Comprising the steps of calculating hybrid energy storage total power; the total power of the hybrid energy storage is decomposed, a low-frequency component and a high-frequency component are distributed to a lithium battery and a super capacitor in the hybrid energy storage respectively, and primary power distribution is completed; on the basis of primary power distribution, the power of the lithium battery and the power of the super capacitor are adjusted on the basis of a low-amplitude component in low-frequency components, the charging and discharging states of the lithium battery and the super capacitor and the charging and discharging margin of the super capacitor, and the power of the lithium battery is optimized on the basis of fuzzy control; and the power of the lithium battery is corrected based on the grid-connected power fluctuation rate condition, and secondary power distribution of the lithium battery and the super capacitor is completed. According to the invention, the energy storage charging and discharging conversion frequency is reduced, the SOC of the super capacitor and the lithium battery is ensured not to be out of limit, the problem generated by adopting traditional fuzzy control on the super capacitor is avoided, and the grid-connected fluctuation ratio is prevented from being out of limit.

The invention discloses an intelligent energy storage method and system for a photovoltaic power station, and relates to the technical field of intelligent energy storage, and the method comprises the steps: collecting meteorological data, photovoltaic power station and geographic information data to construct a fusion data set, importing a photovoltaic prediction model, and outputting a photovoltaic prediction power sequence; the method comprises the following steps: acquiring time-of-use electricity price from a power transaction platform, receiving a power fluctuation limit value issued by a scheduling system, acquiring a charge state of a battery pack, namely an energy storage SOC state in real time, adopting a rolling time domain optimization solution model, solving a dual-target model, and outputting an optimal charge and discharge power instruction sequence; the energy storage unit submits an acceptable power range and a unit power quotation; a market clearing algorithm is executed; the quotation of the subject matter and the quotation of the energy storage unit are summarized; and after priority sorting according to prices and accumulative matching, issuing instructions are distributed according to a bid winning proportion, and the issuing instructions are distributed to the physical energy storage unit. And the whole life cycle cost minimization is realized.

The invention provides a machining cutter feeding speed control method and system.The method comprises the steps that a three-dimensional stress field, a temperature field and cutter micro-vibration characteristics of a cutter cutting area are collected through a preset sensor array, and real-time plastic deformation parameters of a workpiece material and machine tool spindle power fluctuation data are combined; forming a corresponding processing state sensing matrix; obtaining a machining constraint condition of the tool, and optimizing the initial particle swarm algorithm through the machining state sensing matrix and the constraint condition to generate a corresponding target particle swarm algorithm; a speed reference curve matched with the cutter is generated in real time through a target particle swarm algorithm, and cutting noise spectrum features are collected through a high-frequency sonic sensor; and performing conversion processing on the speed reference curve and the cutting noise spectrum characteristics to generate a feeding speed matched with the cutter in real time. The feeding speed can be accurately controlled, and the production efficiency is correspondingly improved.

The invention relates to the technical field of water electrolysis hydrogen production, and discloses an electrolytic bath outlet temperature control method and system, a medium and a program product, a flow control valve is arranged at an inlet of an electrolytic bath, the electrolyte input flow is converted into a core regulation variable directly influencing the outlet temperature, and active control over the outlet temperature is achieved. Furthermore, the flow control valve is directly connected with the control device, the opening degree signal can be received in real time, the flow can be adjusted, it is ensured that the temperature control instruction can be rapidly converted into the actual flow change, and the response speed to power fluctuation is increased. Furthermore, through a real-time operation state parameter set and a real-time temperature monitoring parameter set, it is ensured that a control signal is generated based on a real working condition, and the temperature control stability under fluctuating power is improved. Furthermore, through the synergistic effect of an electrolyte flow feedforward control signal and an electrolyte flow rear-end control signal, frequent current change caused by wind-solar power fluctuation can be effectively handled, and the fluctuation amplitude of the outlet temperature is reduced.

The invention discloses a rapid thermal simulation method and system for a semiconductor power assembly, and relates to the technical field of semiconductors, and the method comprises the steps: collecting a voltage V (t) signal and a current I (t) signal of the semiconductor power assembly in real time through a voltage and current sampling circuit, constructing a power pulse input sequence A, and carrying out the hot carrier accumulation analysis according to the power fluctuation change amplitude; introducing a transient thermal resistance function Zth (t), fitting the transient thermal resistance function Zth (t) with a hot carrier pulse response index Mcx after numerical integration to analyze junction temperature change caused by power pulse, and evaluating an equivalent junction temperature dynamic change rate; when the analysis result is that the thermal drift out-of-control trend exists, thermal risk analysis is carried out, and thermal risk state assessment is generated; the simulation model optimizes thermal model parameters and outputs thermal control suggestions through a rollback correction path, and the working state of the semiconductor power assembly is automatically adjusted. According to the method, real-time monitoring and effective prevention and control of thermal runaway can be realized, and the reliability and safety of the semiconductor power assembly are improved.

The invention relates to the technical field of micro-grid control, in particular to a source-grid-load storage and charging integrated control method and system based on a micro-grid, and the method comprises the steps: considering the current SOC, health state and charging and discharging rate of a battery energy storage system, and evaluating the available capacity and charging and discharging capability of the battery energy storage system; according to the predicted charging load curve, the photovoltaic output curve and the energy storage state evaluation result, taking peak load shifting, photovoltaic consumption and charging station power supply guarantee as targets, generating a scheduling strategy by using an optimization algorithm, and determining a power distribution relationship among a photovoltaic system, a battery energy storage system and a charging station in each time period; and executing a scheduling strategy generated by the energy management module through three stages of regulation and control units, wherein the three stages of regulation and control units are respectively used for limiting grid-connected power fluctuation of the micro-grid, optimizing local energy distribution and island switching, regulating active power and reactive power and carrying out harmonic suppression. And stable operation of the micro-grid and stability of electric energy quality are ensured.

The invention discloses a hybrid energy storage optimization configuration method based on a multi-time scale regulation and control demand, and the method comprises the steps: collecting the operation data of a power system, and obtaining the power fluctuation and the frequency deviation of the power system under a short time scale through a preset high-proportion renewable energy power system model; on the basis of power fluctuation and frequency deviation, the regulation and control requirements of the power system are divided according to different time scales, different energy storage modules are correspondingly configured, and a multi-level collaborative energy storage regulation and control structure matched with the time scales is formed; based on the power system model and the mathematical model of each energy storage module, constructing a hierarchical nested optimization model oriented to multiple time scales; and selecting a typical scene from the operation data by adopting a time sequence clustering method, and obtaining the optimal capacity and power configuration of each energy storage module based on a hierarchical nested optimization model, and obtaining a cross-time-scale collaborative operation strategy. The global optimal configuration is realized by establishing a multi-time-scale collaborative hierarchical nested optimization architecture.

The invention relates to the technical field of industrial big data, in particular to a transformer consumption reduction intelligent control method and system based on a power generation end, and the method comprises the steps: building a source-load space-time correlated industrial big data set, determining an operation reference, and synchronously monitoring real-time electrical parameters; load component decoupling is executed, a basic load component is stripped, and a power fluctuation deviation parameter is extracted; reconstructing equivalent control power of a power generation end based on a nonlinear fluctuation compensation strategy; and constructing a power grid energy efficiency function to execute loss minimization optimization, determining a power supply voltage setting value and driving on-load voltage regulation. Through multi-dimensional data fusion and non-linear load reconstruction, the problem that a traditional method is difficult to deal with random fluctuation of the load is solved, collaborative optimization of transformer loss and line transmission loss is achieved, and operation energy consumption of a power supply loop of a power generation end is effectively reduced.

The invention is suitable for the technical field of power electronics and power transmission, and provides a low voltage ride-through control method and system for a network construction type converter, and the method comprises the steps: carrying out the conventional VSG control according to a VSG control strategy, and continuously monitoring the difference between the voltage of a power grid and a set reference value, so as to judge whether a fault occurs or not; when it is detected that the power grid breaks down, homodyne control is carried out on an active power control ring and a reactive power control ring of the grid-forming type converter so as to fix the phase and the amplitude of the output voltage of the converter; calculating and injecting a positive sequence compensation voltage and a negative sequence compensation voltage according to the drop degree of the power grid voltage; and according to the predicted impact current value, dynamically calculating and inputting adaptive virtual impedance. The power angle and the voltage in the fault period can be ensured to be stable, transient overcurrent is effectively restrained, and large power fluctuation is not caused.

The invention discloses a diesel-storage intelligent micro-grid system. A diesel generator charges an energy storage unit or cooperatively supplies power when power supply is insufficient; the battery energy storage unit stores electric energy and supplies power to a load; the micro-grid energy management system dynamically coordinates the output proportion, and a harmonic suppression module suppresses harmonic interference; the load prediction module predicts load power change; the transient response control module deals with transient power impact; the power distribution system is connected to a main power supply and is switched to a diesel generator power supply mode when power supply of the main power supply does not meet requirements; when the diesel generator supplies power, the bidirectional converter converts electric energy into charging current of the energy storage unit and inhibits harmonic interference; when the energy storage unit supplies power, the direct current is converted into the alternating current required by the load. According to the invention, seamless switching of multiple energy sources, active stabilization of power fluctuation, flexible conversion of electric energy forms, optimization of energy distribution efficiency and comprehensive improvement of the survivability of the micro-grid can be realized.

The invention relates to the field of remote monitoring of power equipment, and provides an intelligent electric energy meter remote fault diagnosis and early warning system which comprises a data acquisition module, a data preprocessing module, a fault diagnosis module, an early warning generation module and a remote communication module. The system overcomes the defects in the prior art, is reasonable in design and compact in structure, and collects and processes voltage, current, active power and reactive power parameters of the electric energy meter in real time; basic information of voltage and current is analyzed, multi-dimensional features of voltage statistical features, current fluctuation features and power fluctuation rate features are extracted, and comprehensive analysis is carried out; based on a machine learning algorithm, performing intelligent analysis and fault probability prediction on the collected data; early warning signals of different levels are dynamically generated according to the fault probability and are transmitted to a control center in real time through a remote communication module.

The invention discloses a load transfer method, system, equipment and medium considering new energy and load power fluctuation, and belongs to the technical field of relay protection, and the method comprises the steps: taking a switch motion moment as a first stage of load transfer, taking a set time after the switch motion as a second stage of load transfer, building a dual-stage load transfer model, and taking the set time as a second stage of load transfer; obtaining a load transfer scheme; double-stage constraint verification is executed, and operation constraint verification is carried out on the load transfer schemes of the first stage and the second stage; introducing a constraint out-of-limit penalty factor, and quantifying the degree of the load transfer scheme deviating from the constraint condition; constructing a load transfer scheme comprehensive evaluation function, and performing weighted integration; and optimizing the load transfer scheme comprehensive evaluation function by adopting an improved binary particle swarm algorithm, and determining an optimal load transfer scheme. According to the method, the limitation of a traditional static model is overcome, and the problem of operation constraint violation caused by photovoltaic output change is avoided.

The invention relates to the technical field of wind power generation, and discloses a variable-pitch control method, device, equipment and product for a floating type wind turbine generator. A wind turbine generator model is constructed by comprehensively considering multiple factors such as aerodynamics, hydrodynamics and mooring dynamics, and a gain scheduling control model is introduced into a preset PI control method; the method can adapt to different working conditions, effectively overcomes the limitation of the traditional PID control in the complex dynamic environment of the floating wind turbine generator, reduces the power fluctuation, and reduces the structure resonance risk. A preset platform pitching value is introduced into expert PID control, and Kohmann coordinate transformation is combined, so that the negative damping problem of a unified variable-pitch floating type fan is solved, and accurate distribution of control signals is realized. And finally, through the control combination of unified variable pitch and independent variable pitch, the pitching amplitude is reduced, the blade load is reduced, the stability and safety of the floating type wind turbine generator are remarkably improved, and reliable operation of the generator is guaranteed.

The invention relates to the technical field of PTC heaters, in particular to a PTC heater output power control method and system, and the method comprises the steps: obtaining the target power, the high-voltage current value and the high-voltage voltage value of a PTC heater, calculating the difference value between the current output power of the PTC heater and the target power, and dynamically adjusting the PID parameters of a PID controller according to the difference value. Finally, the output power is stabilized to the target power, the core of the method is to realize the function of dynamically adjusting the PID parameters, and the problem of overlarge power fluctuation caused by the change of environmental factors can be effectively solved; compared with traditional fixed PID parameter control, the method has the advantages that when environmental factors change, the output power can be stabilized to the target power within a short time through dynamic adaptation of parameters, the flexibility of a closed-loop control system is remarkably improved, and stable operation of the PTC heater under complex working conditions is guaranteed.

The invention relates to the technical field of virtual impedance self-adaptive control of energy storage converters, in particular to a virtual impedance self-adaptive control method of a grid-forming type energy storage converter, which comprises the following steps of: acquiring three-phase voltage and current of a grid-connected point in real time; performing phase-locked loop processing and coordinate transformation to obtain a d-axis voltage, a q-axis voltage and a current under a synchronous rotating coordinate system; calculating instantaneous power, and obtaining active power and reactive power; virtual resistance and virtual inductance are calculated according to power fluctuation through an adaptive algorithm; the virtual impedance equation generates a voltage drop compensation signal; and superposing the compensation signal and the reference voltage to generate a new modulation wave, and inputting the new modulation wave into the pulse width modulation module to realize power oscillation suppression and stable operation. According to the method, the problems between damping enhancement and loss reduction in network construction type control are solved, the dynamic and steady-state performance of the converter is improved, and a key technical support is provided for large-scale and high-reliability application of the network construction type energy storage converter in a novel power system.

The invention relates to the technical field of distributed energy and micro-grids, in particular to a distributed energy output high-precision prediction model, which comprises the steps of collecting data and generating a power fluctuation probability envelope; constructing a complementary voltage-stabilizing virtual subgroup with a negative correlation compensation characteristic through a sequential sequence comparison algorithm; based on a power grid agent model and a kernel function SHAP algorithm, quantizing marginal contribution values of residual disturbance power of each subgroup to frequency deviation of the common connection point; performing a non-linear mapping on the contribution value to generate a virtual impedance correction parameter; and finally, through a layered decoupling closed-loop correction architecture, determining predicted power regulation and control vacancy and generating a compensation instruction. According to the method, the complementarity and the disturbance contribution of each heterogeneous power supply are quantified, so that the high-precision prediction of the distributed energy grid-connected stability influence is realized.