3424 results about "Grid connection" patented technology

The invention relates to the technical field of data processing, in particular to a building light storage and charging integrated energy management system, which is used for solving the problems of data processing delay and resource coordination mismatch caused by insufficient multi-source heterogeneous data fusion in photovoltaic power generation, energy storage and grid connection links. The system comprises a data acquisition module, a protocol conversion module, a data fusion module, a scheduling optimization module, an instruction generation module and a feedback module. The protocol conversion module carries out Modbus, CAN bus and IEC 61850 protocol analysis on the photovoltaic output time sequence data, the energy storage charging and discharging state data and the power grid dispatching instruction to generate standardized data streams. And the safety verification module intercepts the overrun instruction and triggers an amplitude limiting strategy. Through protocol unification, dynamic fusion and closed-loop control, the system realizes improvement of photovoltaic consumption rate, reduction of energy storage circulation loss and optimization of power grid frequency modulation deviation, and significantly improves the efficiency and economy of light storage and charging cooperative operation.

An available transfer capability evaluation method and apparatus for a multi-region power system, belonging to the technical field of new energy grid connection. The method comprises the steps: in view of multi-dimensional uncertainty of new energy output and a load demand, on the basis of a conditional generative adversarial network method, determining a typical daily source-load scenario set; constructing an initial operation point set on the basis of the typical daily source-load scenario set, and determining a limit operation point of a multi-region power system; on the basis of the initial operation point set and the limit operation point, constructing an ATC evaluation model on the basis of safety indexes of multi-region power grid operation; and, on the basis of the ATC evaluation model and the typical daily source-load scenario set, determining available transfer capability probability distribution of the multi-region power system.

The invention provides a new energy storage consumption capability index prediction method, and relates to the field of power system operation, and the method comprises the steps: building a nonlinear mapping relation between solar radiation intensity, photovoltaic module conversion efficiency, a temperature coefficient, an aging attenuation rate factor and power generation efficiency for photovoltaic power generation, so as to dynamically correct a photovoltaic power generation potential output prediction value; based on a potential output prediction result of photovoltaic and wind power generation, solving an energy storage capacity configuration and operation strategy through an intelligent optimization algorithm to maximize the benefit of an energy storage system, and obtaining a dynamic prediction value of an energy storage consumption capability index; and combining prediction results of the statistical model based on the historical data, the dynamic model based on the physical mechanism and the data-driven model based on machine learning by adopting an adaptive weighted fusion strategy. According to the method, accurate prediction of potential output of new energy power generation and dynamic evaluation of the energy storage absorption capability are realized, and effective technical support is provided for new energy grid connection and optimal configuration of an energy storage system.

The invention provides a multi-power-supply cooperative frequency modulation control method, and relates to the field of power grid dispatching, and the method comprises the steps: obtaining the real-time operation data of a power grid, the real-time operation data of the power grid comprises system frequency deviation, load prediction information, and the real-time output and adjustment capability data of multiple power supplies such as wind power, photovoltaic, hydroelectric and thermal power; according to the real-time operation data of the power grid, through a mixed integer linear programming algorithm, taking power generation cost minimization as a target function, and taking multi-power output upper and lower limits, a climbing rate, a system frequency deviation limit value and the like as constraint conditions, calculating an optimal output distribution scheme of multiple power supplies; and converting the optimal output distribution scheme into a power supply output adjustment instruction. Cooperative frequency modulation of multiple power supplies is realized, the system frequency stability and economical efficiency are improved, the renewable energy source grid connection and consumption capability is enhanced, and an effective solution is provided for large-scale new energy source access to a power grid.

The invention relates to the technical field of countercurrent prevention, in particular to a photovoltaic system countercurrent prevention method, which comprises the following steps of: periodically sampling the voltage of a grid-connected point where a photovoltaic system is connected with a power grid, continuously obtaining an instantaneous measurement value of the voltage, and establishing and updating an instantaneous voltage data cache; and based on the instant voltage data cache, extracting voltage data in the latest fixed time window, calculating the maximum change rate of the voltage amplitude in the time window, and judging and generating a voltage transient trigger signal. According to the invention, on the basis of continuous and periodic sampling of the grid-connected point voltage, an instant voltage data cache is established, and accurate capture of voltage disturbance is realized; by calculating the change rate of the voltage amplitude in the specific time window, the accurate moment when the voltage transient event occurs can be identified, and the real-time performance and accuracy of voltage transient detection are improved.

The invention discloses a non-impact grid-connected recovery method, system and device for a coal mine isolated network power supply system and a medium, and belongs to the technical field of non-impact grid-connected recovery of power supply systems, and the method comprises the steps: monitoring the operation state of an isolated network, and obtaining voltage, frequency and phase parameters; preparation before grid connection is executed, and main network parameter confirmation and equipment verification are completed; performing parameter synchronous adjustment based on the controller to complete dynamic matching of voltage, frequency and phase; pre-synchronization control is implemented to realize phase prediction and power pre-balance; executing closing operation and performing impact suppression; carrying out stability regulation and control after grid connection, wherein the stability regulation and control comprise oscillation suppression and smooth load loading; and when grid connection is abnormal or fails, an emergency processing branch is entered, and standby power supply switching or island splitting control is triggered. Through multi-dimensional synchronous control, impedance reconstruction and hierarchical coordination mechanisms, high-precision and low-impact grid connection of multiple energy units under extreme working conditions is realized, and the grid connection stability and success rate of a coal mine isolated network power supply system are remarkably improved.

The invention, which relates to the technical field of data processing, provides a grid-connected and off-grid integrated photovoltaic energy storage system comprising a photovoltaic power generation module, an energy storage module, a load module, a control module, a conversion module and a power adjustment module. The control module comprises a data acquisition module, a state analysis module and a switching instruction generation module, and when the power grid suitability result shows that the external power grid meets the grid connection condition, a grid connection instruction is generated; when the power grid suitability result shows that the external power grid does not meet the grid connection condition and the energy storage capability evaluation result shows that the energy storage module has the capability of meeting the load requirement, generating an off-grid instruction; if the energy storage capability evaluation result shows that the energy storage module cannot meet the load demand, generating a load adjustment instruction, and controlling the load module to reduce the energy distribution proportion of the non-critical load; the power adjustment module is used for dynamically adjusting the output power proportion of the energy storage module according to the off-grid electric energy data in the off-grid mode; the electric energy distribution effect of the energy storage system is improved.

A fault ride-through method and apparatus for a new energy transmission system, and an electronic apparatus, relating to the technical field of new energy grid connection and flexible direct-current power transmission. The method comprises: acquiring a voltage parameter of a grid-connected inverter and a voltage of an alternating-current system, the voltage parameter comprising at least one of the following: an alternating-current voltage of the grid-connected inverter, a direct-current voltage of the grid-connected inverter, and a direct-current voltage change rate; on the basis of at least one of the voltage parameter and the voltage of the alternating-current system, determining whether a low-voltage fault has occurred in a new energy transmission system; and when a low-voltage fault has occurred in the new energy transmission system, adjusting the new energy transmission system at least according to a preset adjustment method, so that the new energy transmission system carries out fault ride-through within a preset duration, the preset adjustment method comprising at least one of the following: adjusting the active current of the grid-connected inverter and adjusting the integral element of a flexible direct-current system. The problem of lack of a fault ride-through method suitable for a large-scale new energy flexible direct-current transmission system is solved.

The present application relates to a virtual synchronous control method and apparatus for an energy storage system, a device, and a storage medium. The method comprises: controlling an output voltage of a direct-current energy storage valve on the basis of an output electrical signal measurement value of a direct-current side of a voltage source converter and an output voltage reference value of the direct-current energy storage valve; further, controlling an output signal of an alternating-current side of the voltage source converter on the basis of a grid connection point electrical signal measurement value and a grid connection point electrical signal reference value of the voltage source converter. It can thus be seen that the embodiments of the present application implement a virtual synchronous control method independently controlling a voltage source converter and a direct-current energy storage valve in an energy storage system, so that the method can be applied to virtual synchronous control of a high-voltage direct-current direct-mounted energy storage system. In addition, by means of independently controlling the voltage source converter and the direct-current energy storage valve in the energy storage system, the voltage source converter does not need to be configured to take into account both direct-current side control and alternating-current side control, so that the complexity of a control loop of the voltage source converter can be simplified.

The invention discloses a flywheel energy storage system control method based on data center photovoltaic power supply, and belongs to the technical field of power system and new energy grid-connected control, and the method comprises the steps: obtaining the output prediction data of photovoltaic power generation, the real-time load power, the voltage fluctuation parameter of a commercial power grid, and the real-time rotating speed state of flywheel energy storage; generating a power gap predicted value by taking the real-time rotating speed state of flywheel energy storage as a dynamic constraint variable; generating a flywheel commercial power cooperative control strategy according to the commercial power voltage fluctuation parameter; the temperature change rate of the flywheel motor is detected in real time, and a control instruction is generated; and synchronously sending the control instruction to the photovoltaic inverter and the flywheel motor, adjusting the parameters of the photovoltaic inverter and the flywheel rotating speed response data, and dynamically updating the control parameter set. According to the invention, a dual adjustment mechanism of flywheel rotating speed dynamic constraint and voltage fluctuation ratio weight distribution is adopted, and a temperature gradient harmonic collaborative suppression strategy is combined, so that millisecond-level power compensation response can be realized, the power grid dependence degree is reduced, and the service life of an energy storage system is prolonged.

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 provides a watershed cascade water, wind, light and storage integrated scheduling operation simulation method considering long-short term nesting correction, and the method comprises the steps: constructing a watershed cascade water, wind, light and storage integrated medium-long term optimization scheduling model, and solving the model, thereby obtaining a water, wind, light and medium-long term scale electric quantity complementation scheduling scheme; and constructing a long-short-term nested correction model, and performing refined correction on each power supply output process of the watershed cascade water, wind, light and storage integrated multi-energy complementary base to obtain a water, wind, light and short-term scale electric power complementary scheduling scheme. On the basis of medium and long term optimization scheduling, a long-short term nested correction model is further constructed, and the random volatility of short-term wind and light output and the adjusting capacity of a short-term hydropower station and a pumped storage power station are fully considered. Effective undertaking of long-term absorption and short-term grid connection of the water, wind, light and storage integrated multi-energy complementary base under high-proportion new energy permeation is achieved, and the refined requirement of a multi-energy complementary dispatching system for evaluating indexes such as the new energy absorption rate is met.

The invention is suitable for the technical field of electric power, and provides a current-limiting control method and device for a network construction type energy storage converter, and the method comprises the steps: generating the virtual internal potential of the network construction type energy storage converter according to the operation parameters of a power grid; when the power grid breaks down, whether the output current of the grid-forming type energy storage converter exceeds a current rated value or not is judged, and self-adaptive virtual resistance and self-adaptive virtual impedance are determined according to the judgment result and the virtual internal potential; wherein if the output current of the grid-forming type energy storage converter exceeds the current rated value, the fault transient current is limited according to the self-adaptive virtual resistance in the first three power frequency periods of the beginning of the fault, and the fault steady-state current is limited and the power angle curve is remodeled to improve the power angle stability in the later fault time according to the self-adaptive virtual resistance; and calculating a current reference value of the power grid and a voltage reference value of a grid-connected point according to the self-adaptive virtual impedance, and performing switching control on the grid-forming type energy storage converter. According to the invention, safe and stable operation of the network-forming type energy storage converter can be ensured.

The present invention provides a method and system of self-adaptive setting of closed-loop parameters for suppressing PV coupling harmonics, comprising: acquiring node voltages and node currents of PV grid-connected inverters; constructing harmonic coupling admittance matrix according to the node voltages and node currents; calculating an amplitude of each element in the constructed harmonic coupling admittance matrix; screening contribution sources of coupling harmonics according to the calculated amplitude of the each element; evaluating quantitatively harmonic admittance of the PV grid-connected inverter according to screened contribution sources; and, carrying out optimization iteration for double-closed-loop PI control parameters of inverter with objective of minimizing the coupling harmonics of the PV grid-connected inverter according to results of the quantitative evaluation of the harmonic admittance, to complete self-adaptive setting of closed-loop parameters for suppressing PV coupling harmonics.

The invention belongs to the technical field of power system stability control, and particularly discloses an inverter network following and constructing control mode adaptive adjustment method and system, and the method comprises the steps: obtaining a current power grid state parameter in real time; a multi-scale fusion depth evaluation model is constructed and trained; inputting the current power grid state parameters into the trained multi-scale fusion depth evaluation model, and outputting current power grid state evaluation indexes; according to the current power grid state evaluation index, adaptively selecting a control mode, wherein the control mode comprises a network following type inverter dominant mode, a network constructing type inverter dominant mode and a transition mode; and according to the selected control mode, verifying whether the power grid state satisfies a constraint condition, and if not, carrying out global optimization on the control parameters of the inverter. According to the invention, the dynamic stability and disturbance response capability of the power system can be improved through the adaptive adjustment of the network-following type and network-constructing type control modes of the inverter.

The invention discloses a wind power grid-connected oscillation suppression method and system based on a self-adaptive damping controller, and relates to the technical field of oscillation suppression of a power system. According to the method, a self-adaptive damping controller structure is designed, and parameter setting is completed; then building a wind power grid-connected system simulation model; after voltage signals are collected, an FFT processing method is used for identifying oscillation frequency, and whether an unstable oscillation mode exists in the system or not is judged; if unstable oscillation exists, a self-adaptive damping controller is connected between the wind power plant side and the power grid side; the self-adaptive damping controller filters out signal components causing system oscillation and performs phase modulation; a signal component generated by the self-adaptive damping controller is injected into the power grid and counteracts with an original signal, and oscillation suppression is achieved. According to the self-adaptive damping controller designed by the invention, the oscillation frequency identification module and the phase shift parameter calculation module are introduced, so that measured data can be fully utilized, control link parameters are adjusted according to vibration frequency changes, and oscillation is effectively suppressed.

The invention discloses a photovoltaic grid-connected harmonic current prediction method based on deep learning, and relates to the technical field of power systems and photovoltaic grid connection. According to the method, three-phase load current and grid-connected point voltage data in a photovoltaic grid-connected system are obtained, the three-phase load current is converted into a two-phase direct-current component through Clark and Park conversion, fundamental current is extracted through a low-pass filter, and a harmonic current component is obtained. Time domain and frequency domain characteristics of grid-connected point voltage data are extracted through fast Fourier transform, correlation between voltage harmonic waves and load current harmonic waves is analyzed, and grid-connected point voltage characteristics are extracted. Local features of harmonic current components are extracted through a convolutional neural network, time sequence features are captured through a bidirectional long-short-term memory network, and a harmonic current prediction model is constructed. And finally, inputting the preprocessed current and voltage characteristics, and generating a harmonic current predicted value. And the problems of nonlinearity and uncertainty in the photovoltaic grid-connected system can be more effectively solved.

The invention relates to the technical field of signal analysis, and discloses a primary frequency modulation large disturbance signal peak value analysis method, which comprises the following steps: collecting a primary frequency modulation large disturbance signal and carrying out filtering processing of multi-band noise separation; performing multi-scale decomposition on the filtered disturbance signal, extracting a dynamic entropy of a multi-scale signal sequence, and performing dynamic entropy denoising on the disturbance signal to obtain a denoised disturbance signal; and calculating a potential peak position of the denoised disturbance signal, and carrying out multi-condition verification on the potential peak position to obtain peak information for frequency modulation disturbance analysis. Based on spectrum energy distribution, specific wavelet bases are selected for different noise frequency bands for noise reduction, the wavelet noise reduction performance is improved, the energy distribution complexity and the structure complexity of the disturbance signals on different scales are extracted, the dynamic characteristics of the disturbance signals are captured more comprehensively, the noise reduction precision is improved, and the noise reduction efficiency is improved. And the accuracy of wind power integration fault identification and equipment life monitoring in the peak value analysis process is improved.

The invention relates to the technical field of hybrid inverters, and discloses a hybrid inverter supporting reactive compensation and a control method thereof, and the hybrid inverter comprises a DC input unit, a three-phase full-bridge inversion unit, a grid-connected switching unit, a signal acquisition unit and a digital control unit. The direct current input unit comprises a photovoltaic interface, a battery interface and a direct current bus and is used for converging photovoltaic and energy storage electric energy; the three-phase full-bridge inversion unit is composed of a power device and an LCL filter and converts direct current into alternating current. The grid-connected switching unit comprises a static switch and an isolation transformer and is used for controlling power grid connection; the signal acquisition unit detects voltage and current signals; and the digital control unit judges a grid-connected mode or an off-grid mode according to the signal, calculates a reactive current reference value and generates a PWM (Pulse Width Modulation) control signal so as to realize reactive compensation control in the grid-connected mode and the off-grid mode. According to the invention, reactive power compensation capability is provided in both grid-connected and off-grid operation modes, and stable operation of the inverter in various working conditions is ensured.

The invention discloses a method for predicting and suppressing harmonic waves generated by photovoltaic grid connection, which relates to the technical field of harmonic wave prediction, and comprises the following steps: detecting a three-phase current signal of a photovoltaic grid connection circuit by using an ip-iq detection method, and decomposing the three-phase current into an active component and a reactive component through Clarke conversion and Park conversion; according to the method, high-precision detection and separation of harmonic waves in the photovoltaic grid-connected system are realized by combining an ip-iq method with Clarke and Park transformation, dynamic modeling and harmonic signal prediction are performed by using the LSTM model, the defect of poor adaptability of a traditional method to nonlinear loads is overcome, and the prediction error is as low as 0.1%. Through combination of LSTM prediction and APF dynamic compensation, the compensation current opposite to the harmonic current is generated in real time, the harmonic suppression efficiency and the power grid stability are significantly improved, the electric energy quality is optimized, and the dynamic change of a complex load is adapted.

The invention relates to the technical field of new energy grid connection, in particular to a new energy grid connection flexibility resource prediction model training method based on artificial intelligence, and aims at solving the problems that a traditional prediction method is insufficient in precision and poor in adaptability when coping with new energy grid connection flexibility resources. By collecting and processing multi-dimensional historical data, adopting machine learning and deep learning algorithms and combining artificial intelligence, effective features can be extracted from the data, and new energy grid-connected flexibility resources are accurately predicted. Through data expansion and optimization, the problems of data scarcity and uneven distribution are effectively solved, the generalization ability and prediction precision of the model are improved, more scientific and accurate decision support is provided for power system scheduling, and stable operation and flexible scheduling of a new energy grid-connected system are promoted.

The invention discloses an active support control method and system for a follow-up network hybrid new energy station, and the method comprises the steps: collecting the operation state data of a high-voltage side of a grid-connected point of the new energy station, and calculating the short-circuit ratio of the new energy station; according to the station short-circuit ratio, switching an operation mode of a unit with a network following / constructing power generation mode; obtaining the active margin of each unit, calculating the active increment of the primary frequency modulation of the whole field, and carrying out the distribution according to the obtained active margin of the network tracking / constructing unit; calculating a full-field inertia frequency modulation active increment, judging an autonomous inertia supporting effect of the network-building type unit according to an active margin of the network-building type unit, and coordinating with the network-building type unit to jointly complete inertia frequency modulation; the reactive power margin of each unit is obtained, the autonomous voltage regulation supporting effect of the network-building type unit is judged according to the reactive power margin of the network-building type unit, and the network-building type unit is coordinated to carry out residual reactive power distribution according to the reactive power margin, so that economical and efficient cooperative operation of the hybrid new energy station and friendly power grid is realized.

The present disclosure provides a method and device for calculating fault measurement impedance of a hybrid-connected grid-following and grid-forming wind power system. The method includes: obtaining characteristics of the grid-following and grid-forming converters and a corresponding low voltage ride-through control strategy; establishing an equivalent circuit under a corresponding fault state; conducting a simplified analysis on the wind power system to obtain an equivalent network diagram; obtaining a sub-circuit diagram of each power source excitation acting alone; obtaining short-circuit currents on both sides of the corresponding system and a grid connection point voltage; superimposing to obtain total short-circuit current on both sides of the wind power system and total grid connection point voltage; and obtaining a measurement impedance at a protection installation location on the new energy source side. The method can accurately calculate the measurement impedance value at the protection installation location after the wind power system has fault.

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 relates to the technical field of intelligent control, in particular to an intelligent power optimization scheduling method in a new energy grid-connected scene, which comprises the following steps of: acquiring a current load, a rated load, an adjustment rate and a temperature rise value through a data interface, and normalizing to generate a characteristic parameter matrix; the product of the adjusting rate and the temperature rise value is used for calculating the correlation degree with the aging factor to obtain an elastic weight, extracting the voltage stability and the weight, inputting the voltage stability and the weight into a Dijkstra algorithm to screen a path meeting the safety margin, monitoring the slope of an inertia change curve, adjusting a compensation coefficient through fuzzy PID control, and feeding back the compensation coefficient to correlation degree calculation. According to the method, multi-source parameters are fused through a rule tree structure, the load regulation rate and the aging factor weight are dynamically distributed, bus voltage stability and elastic weight path optimization are combined, a synchronous inertia margin safety correction system is constructed, the system response precision, the state cooperation efficiency and robustness are improved, local optimum is avoided, and the system reliability is improved. And the standby capacity configuration and the frequency advance correction capability are optimized.

The invention belongs to the technical field of electric power system information processing, and particularly relates to an electric power information analysis method based on big data, through semantic fusion of multi-source heterogeneous data and dynamic feature mining of a time sequence attention mechanism, in a load prediction scene, compared with a traditional single data source model, the electric power information analysis efficiency is improved. After the meteorological data, the user power consumption behavior data and the power grid operation data are fused, the prediction average error rate is reduced; in an equipment fault early warning scene, through multi-dimensional correlation analysis of vibration signals, oil temperature data and environmental factors, transformer latent faults can be early warned in advance, and the fault identification accuracy is improved; meanwhile, a self-adaptive modeling engine and a closed-loop feedback mechanism enable the system to have a self-evolution capability: when the power grid topology is adjusted or the new energy grid-connected proportion is changed, the model does not need to be manually retrained, and self-adaptive adaptation can be completed in two scheduling cycles through dynamic feature weight adjustment and meta-learner parameter optimization, so that the analysis performance is maintained to be stable.

The invention discloses a power grid cross-correlation harmonic suppression method, device and equipment and a storage medium, and the method comprises the steps: carrying out the wavelet packet decomposition of a subnet electric signal, and obtaining the harmonic component of a subnet at each frequency band; calculating the harmonic phase difference between the subnets according to the cross-correlation function between the harmonic components of the subnets and the topological impedance matrix, and calculating the total harmonic distortion rate according to the harmonic components of the subnets in the frequency bands; constructing a harmonic transfer equation according to the harmonic phase difference between the subnets and the equivalent output impedance of the inverter so as to calculate the harmonic responsibility proportion of the subnets; solving the double-layer game model based on the total harmonic distortion rate, the reference value of the total harmonic distortion rate and the harmonic responsibility proportion of the subnet, and obtaining the output of the governance equipment; and inputting the output of the treatment equipment into the fuzzy controller to obtain the impedance adjusting quantity of the subnet, and adjusting the virtual impedance according to the impedance adjusting quantity to update the harmonic backflow path. According to the invention, harmonic suppression among multiple subgrids during high-permeability distributed grid connection is realized, and the operation stability of the power grid is improved.

The invention relates to the technical field of new energy, and particularly discloses a new energy short-term intelligent optimization scheduling method under high-proportion new energy grid connection, and the method comprises the steps: data collection and preprocessing, multi-source data fusion prediction, hierarchical supply and demand balance, distributed collaborative optimization, and real-time regulation and feedback. According to the scheme, a multi-time-scale hierarchical supply and demand balance mechanism is adopted, fine management of different scheduling targets is achieved, the supply and demand relation is coordinated in combination with a dynamic weight adjustment mechanism, key load requirements are met preferentially, economy and stability are considered, and meanwhile the real-time performance and adaptability of scheduling decisions are improved; a distributed collaborative optimization structure is designed, the adaptability and robustness of a scheduling system to operation environment changes are effectively enhanced, a global scheduling problem is decomposed into a plurality of regional sub-problems, parallel solution and asynchronous update are achieved, the scheduling efficiency and the computing resource utilization rate are improved, and the requirements for real-time performance and high concurrency of large-scale new energy grid-connected scheduling are met.

The invention provides an electric energy quality device power smooth flexible capacity expansion method for a new energy access scene. The method comprises the following steps: acquiring three-phase voltage, current and power signals, obtaining standardized three-dimensional tensor data through multi-dimensional tensor spectrum projection decomposition, calculating a characteristic value and a characteristic tensor base, and generating a dynamic characteristic vector and a weight coefficient set; a multi-layer probability graph matrix is constructed, a feature mapping matrix and a hierarchical contribution coefficient are obtained through iterative calculation, a fluctuation feature tensor is constructed, and a multi-time scale prediction model is established; constructing a control manifold space and a measurement tensor, calculating a topological connection matrix, designing a multi-dimensional control law and performing stability optimization; and constructing an embedded feature matrix and an inter-module distance matrix, calculating a capacity expansion weight and a power distribution scheme, and performing spectral domain equalization control and grid-connected coordination control. According to the invention, the power smoothing effect is obviously improved, and the system capacity expansion flexibility is enhanced.

The invention belongs to the technical field of optical storage cooperative control, and discloses a new energy grid-connected optimization control method based on an energy storage system, which comprises the following steps: collecting a power grid impedance fluctuation amplitude, a harmonic distortion rate and environment temperature data, obtaining an initial SOC value, correcting the SOC value, calculating an adjustable power margin and a response delay parameter of a photovoltaic unit, and calculating the optimal power grid impedance fluctuation amplitude and the optimal power grid impedance fluctuation amplitude. Generating an efficiency responsibility table; constructing a response cluster, generating a frequency modulation task package, and further generating a three-dimensional efficiency mapping table; the inertia demand is dynamically calculated in combination with the power grid frequency change rate, a responsibility transfer strategy is automatically activated in a high-altitude and high-temperature scene, and an efficiency instruction set is generated; analyzing response deviation by simulating typical disturbance of a high-altitude weak power grid scene, positioning a deviation source in combination with historical data, and dynamically adjusting an efficiency weight correction factor; and updating a responsibility allocation rule of the efficiency responsibility table, disrupting the low-efficiency cluster, and recombining the high-adaptability unit.