969results about "Flicker reduction in ac network" patented technology

The invention relates to the technical field of power system stability control, in particular to a broadband oscillation suppression method and system for an offshore wind power flexible direct current grid-connected system and a medium, and the method comprises the steps: sequentially injecting positive and negative sequence perturbation sine harmonic signals at a grid-connected point of a wind turbine generator, constructing a multi-input multi-output impedance matrix, reducing the order of the multi-input and multi-output impedance matrix into single-input and single-output equivalent positive sequence impedance; the stability margin of the offshore wind power flexible direct current grid-connected system is obtained based on equivalent positive sequence impedance quantification; when the stability margin is lower than a preset margin threshold value, reconstructing the fan grid-side converter into a matrix control structure by cascading a weighting coefficient matrix between the inner and outer ring control loops of the fan grid-side converter; and iteratively optimizing the matrix type control structure based on impedance sensitivity, and synchronously connecting a low-pass filter in series in a voltage and current feedback channel to carry out impedance remodeling so as to finish broadband oscillation risk suppression. According to the invention, broadband oscillation suppression of the offshore wind power flexible direct current grid-connected system is realized through impedance modeling and a matrix type control strategy.

The invention discloses a stability analysis method of a network tracking / constructing hybrid station based on an impedance model, and relates to a modeling and stability evaluation technology of a wind power plant grid-connected system. The method comprises the following steps: firstly, respectively establishing sequence impedance models of a following network type direct-driven fan and a construction network type direct-driven fan based on a harmonic linearization method, and verifying the accuracy of the established models in different frequency bands by combining an impedance sweep frequency method; secondly, on the basis of considering the influence of line impedance, deducing to form an impedance network structure of a hybrid wind power plant grid-connected system, and constructing a stability judgment condition suitable for system analysis; and finally, based on the established impedance stability criterion, identifying possible oscillation risks of the system in subsynchronous and supersynchronous frequency bands. The method is suitable for wind power system stability analysis in various hybrid access scenes, and provides theoretical basis and technical support for subsequent system parameter setting, control strategy optimization and oscillation suppression measures.

The invention discloses a virtual power plant intelligent aggregation optimization control method for multi-type flexible resources, and the method comprises the steps: constructing a dynamic characteristic model of distributed resources, wherein the dynamic characteristic model comprises a photovoltaic output probability prediction model, an energy storage SOC-life coupling model, an electric vehicle behavior chain model, an adjustable load constraint model, and an industrial interruptible load model; an edge agent node calculates an adjustable potential interval of a resource cluster in real time and uploads the adjustable potential interval to a cloud end, a global optimization target is solved on the cloud end based on an improved sparrow search algorithm (ISSA), after a scheduling instruction is generated, model parameters are corrected in a rolling mode according to actual output deviation calculated in real time, and a scheduling result is obtained. And triggering a resource fault emergency strategy for prediction deviation and resource fault problems occurring in the operation process of the virtual power plant. Through an edge-cloud collaborative architecture and a multi-stage optimization strategy, accurate modeling, optimization aggregation and intelligent scheduling of distributed resources are realized.

The invention discloses a harbor shore power system oscillation damping suppression method based on heuristic probability optimization. According to the method, sliding window preprocessing is carried out on an alternating current bus side current time domain oscillation signal, modal decomposition is carried out based on a Prony algorithm, and modal energy is calculated to judge an oscillation mode; the discriminated oscillation modes are aggregated and mapped into equivalent circuit elements, a corresponding three-order circuit state matrix is constructed, and the damping ratio of each mode is determined according to the characteristic value of the matrix; taking a damping ratio as an evaluation index, introducing an influence factor to construct a multi-objective optimization function, parameterizing the parallel adjustable impedance, and limiting an adjustable range; and searching the control parameters by adopting a heuristic probability optimization strategy to obtain final damping control parameters, and downloading the final damping control parameters to the parallel adjustable impedance device to realize online dynamic adjustment. According to the method, multi-modal identification, physical magnitude mapping and online adaptive optimization can be realized, and the suppression capability and the operation stability of the shore power system on sub / super synchronous oscillation are improved.

The invention relates to the field of power systems, in particular to a multi-energy complementary power supply network cooperative control method and system. The method comprises the following steps: collecting dynamic characteristic data of wind power, photovoltaic power, energy storage and load through a sensor group, and generating a multi-energy state characteristic matrix with a timestamp; and matching the feature matrix with a dynamic response feature library, and outputting a dynamic feature parameter set. Based on the set, a multi-objective optimization model is constructed, second-level frequency deviation suppression, minute-level tie line power stabilization and hour-level economic dispatching are covered, and a cooperative control parameter set is generated. And generating a thermal power generating unit compensation amount, an energy storage charging and discharging sequence and an interruptible load priority list. After execution, power grid deviation data are collected, a dynamic deviation value is calculated, and when a threshold value is exceeded, feature library parameters are corrected and loop optimization is carried out. According to the invention, the problem of insufficient cooperative control of the multi-energy system in the prior art is solved, and the stability and economy of the power grid are improved.

The invention relates to the technical field of power distribution network analysis, in particular to a distributed energy storage cooperative control system and device for an intelligent power distribution network, in the distributed energy storage cooperative control system and device for the intelligent power distribution network, inverter phase angles and bus voltage fluctuation characteristics are collected in real time through a dynamic virtual impedance parameter library, and a virtual impedance parameter library reflecting a disturbance propagation path is constructed; a lower-layer region dynamic division unit of the double-layer decision control module dynamically divides cooperative control sub-regions based on a virtual impedance deviation value and a preset clustering interval, and improves local disturbance suppression precision in combination with power grid topology constraints, and an upper-layer weight distribution unit generates a dynamic power distribution weight coefficient according to an inverse proportion relation of an equivalent impedance ratio; the overload risk caused by traditional fixed weight distribution and impedance characteristic mismatch is solved; when the energy storage unit is off-network, the power disturbance buffer factor calculation module adjusts the upper limit of output of the remaining units according to the original weight proportion and the equivalent impedance ratio in an equal-ratio scaling mode, and output adjustment and the impedance attenuation direction are maintained to be synchronous.

The invention discloses a network construction type energy storage capacity optimal matching method based on a frequency response model, and belongs to the technical field of gas turbine power plant financial supervision and artificial intelligence, and the method comprises the steps: S1, quantifying the power vacancy of a typical station under an extreme short-circuit fault, determining a virtual inertia constant and a virtual droop coefficient of network construction type energy storage, and carrying out the calculation of the virtual inertia constant and the virtual droop coefficient; setting an initial output coefficient and adjusting a step length; s2, constructing and integrating a system frequency response model based on the inertia and frequency modulation characteristics of the conventional unit, the wind turbine generator and the network construction type energy storage; s3, applying power disturbance to the system, gradually increasing an initial output coefficient and performing simulation, and recording the maximum frequency deviation, the maximum frequency change rate and the quasi-steady-state frequency deviation; and S4, when the maximum frequency deviation, the maximum frequency change rate and the quasi-steady-state frequency deviation are respectively smaller than or equal to set threshold values, the energy storage capacity proportion corresponding to the current initial output coefficient is the optimal proportion. According to the method, the problem of accurately measuring the optimal configuration proportion of the network construction type energy storage in the new energy station is solved.

The invention discloses a digital control uninterruptible power supply parallel operation phase locking method, which relates to the technical field of digital phase locking, and comprises the following steps of: in each analysis period, acquiring an output voltage waveform signal and a current frequency disturbance control parameter of each uninterruptible power supply, and respectively executing short-time Fourier transform to obtain an output voltage waveform signal and a current frequency disturbance control parameter of each uninterruptible power supply; and converting the time domain signal into a multi-dimensional dynamic spectrum matrix, extracting frequency and amplitude parameters of a disturbance signal, and constructing a corresponding uninterruptible power supply disturbance parameter set. According to the invention, through dynamic spectrum analysis and frequency domain coupling tensor modeling, accurate extraction of UPS modulation signal features and dynamic evaluation of resonance risk indexes are realized, in combination with a risk-driven frequency intervention mechanism, frequency coupling is broken, the frequency diversity and disturbance decoupling capability of the system are improved, and the reliability of the system is improved. The stability, the anti-interference performance and the intelligent response capability of the parallel system are obviously enhanced, and early warning and active suppression of lock point resonance are realized.

The invention relates to the technical field of on-load voltage regulation, in particular to a transformer on-load voltage regulation control method. According to the technical scheme, the transformer on-load voltage regulation control method comprises the following steps that S1, a transformer cluster running in parallel is decomposed into distributed intelligent nodes, and each node executes local voltage prediction and constraint condition management; s2, adopting a distributed model prediction control framework, and cooperatively solving a voltage regulation optimization target through an edge calculation unit; s3, a harmonic disturbance signal with a preset amplitude is injected into the transformer, equivalent impedance is dynamically identified based on response data, and virtual impedance compensation is triggered; and S4, establishing a hierarchical cooperative control architecture, and realizing clock synchronization, dynamic weight distribution and multi-objective optimization decision among nodes. Through a cooperative mechanism of distributed predictive control and dynamic impedance compensation, the response speed and the regulation precision of the on-load voltage regulation system to the power grid voltage fluctuation are remarkably improved, and the voltage out-of-limit problem under the complex working conditions of new energy grid connection, load sudden change and the like is effectively solved.

The invention discloses an intelligent self-adaptive suppression method for oscillation of a data-driven SVG (static var generator) grid-connected system. Obtaining the capacitor voltage of the direct current side of the SVG and the actual voltage and the actual current of the grid connection point of the SVG, and respectively calculating the active power output by the SVG and the voltage amplitude output by the SVG according to the actual voltage and the actual current; a current reference value is generated through a voltage outer loop; the active power output by the SVG, the voltage amplitude output by the SVG and the voltage of the direct current side of the SVG are input into a DeePC controller to be processed, and an additional current reference value is obtained; and then the current error is obtained by adding the current reference value output by the voltage outer loop and subtracting the actual current, and then the current error is input to the voltage inner loop for processing to obtain a modulation wave voltage amplitude signal. According to the method, the oscillation of the converter grid-connected system can be suppressed under the condition that the dynamic characteristics of the converter and the conditions of the power grid are changed, and the problems of insufficient fixed structure and parameter sensitivity of the traditional SVG are solved.

The invention relates to the technical field of electric power engineering automation, in particular to a low-voltage equipment power factor automatic adjusting system and method based on end compensation, and the system comprises a load monitoring module, a compensation strategy generation module, an end compensation execution module, a dynamic balance correction module and an effect evaluation module. According to the invention, the sequential relationship between the load fluctuation and the compensation demand can be accurately identified by continuously monitoring the current waveform, the voltage waveform and the phase difference change trend of the low-voltage equipment, and the compensation strategy is dynamically formulated in combination with the response duration and the compensation demand matching rule, so that the compensation response agility and the matching property of the fluctuating load are improved; dynamic scheduling is carried out according to the capacitor switching capacity and the combination relation in compensation execution, switching weight configuration is analyzed and optimized through the power factor change rate before and after compensation and the load synchronization characteristic, the dynamic balance of the compensation process is enhanced, the power factor stability and the load fluctuation matching capacity after compensation are effectively improved, and the compensation efficiency is improved. And the adaptability and continuity of the adjusting effect are enhanced.

The invention discloses a power distribution network source load storage coordination control method based on a distributed power supply, electronic equipment and a medium. The method comprises the following steps: acquiring operation data of a power distribution network in real time; judging based on a preset switching condition and the operation data of the power distribution network, if the operation of the power distribution network does not meet the switching condition, controlling the power distribution network to execute a centralized regulation and control strategy, and obtaining an optimal global control strategy, the preset switching condition at least comprising communication interruption; based on the optimal global control strategy, controlling a plurality of sub-regions to execute a first regulation and control instruction, wherein the sub-regions comprise user distributed photovoltaic power generation; if the operation of the power distribution network meets the switching condition, controlling the power distribution network to execute a distributed regulation and control strategy, and obtaining an optimal local control strategy corresponding to each sub-region; and controlling the corresponding sub-region to execute the second regulation and control instruction based on the optimal local control strategy. The centralized regulation and control and the distributed regulation and control are switched through the preset switching condition, so that the response speed and the flexibility can be improved, and the intervention cost can be reduced.

The invention provides a power market flexibility resource configuration method and device, and the method comprises the steps: obtaining the real-time measurement, weather forecast and equipment state data of a power grid node, and extracting the spatial-temporal characteristics of a power grid topology; calculating new energy output and equipment availability rate based on meteorological and equipment data; generating a dynamic adjustment margin matrix in combination with the spatial-temporal characteristics, the new energy output and the equipment availability rate; predicting a quantile map of the short-term flexibility demand; global optimization is decomposed into regional sub-problems and solved, power adjusting instructions of the power generation side and the load side are generated, and resource dynamic configuration is achieved. The method improves the evaluation precision and response speed, and guarantees the stability of the power grid.

The invention provides a multi-inverter grid-connected system broadband oscillation suppression method based on impedance collaborative reconstruction, and the method comprises the steps: firstly carrying out the frequency domain small signal modeling, and constructing a station-level system frequency domain impedance model on the basis of a single machine; therefore, the design of an additional control branch is expanded, a power signal is superposed to the control branch through an additional damping control branch so as to realize the improvement of the impedance amplitude of the inverter, and the phase improvement of a capacitive frequency band is realized by adopting an active damping strategy based on a filter; secondly, constructing an impedance collaborative reconstruction method under a multi-inverter system, establishing a two-stage optimization structure, comprehensively solving the position and parameters of a control branch, and achieving the suppression of system oscillation. According to the invention, through collaborative optimization, conflicts of different control strategies are reduced, and the influence of a coupling relationship is minimized; furthermore, through cooperation of the multiple inverters, dual optimization of damping in the space and the frequency domain is achieved, and efficient suppression of broadband oscillation of the multi-inverter grid-connected system is achieved.

The invention discloses a virtual synchronous direct drive fan subsynchronous oscillation suppression method based on two-stage lagging link phase compensation control. The method comprises the steps that 1, a phase compensation control module formed by connecting two stages of lagging links in series is constructed; 2, performing parameter setting on the phase compensation control module of the two-stage lagging link by using a momentum gradient descent optimization algorithm and a Newton-Rafson iteration method to obtain a set optimized phase compensation control module; and 3, analyzing damping characteristics of the system, and further selecting a proper compensation point to configure an optimized phase compensation control module for suppressing subsynchronous oscillation control of the virtual synchronous direct-drive fan grid-connected system. Through the design and reasonable configuration of the damping compensation module, the damping characteristic correction of the system can be realized, so that the subsynchronous oscillation of the grid construction type direct-driven fan grid-connected system is effectively inhibited, and the system stability is improved.

The invention relates to the technical field of exchange decision making, and discloses a multi-objective optimized capacitor bank intelligent exchange decision making system, which comprises a data acquisition and twin synchronization module, a strategy generation module, a risk preview module, an optimization decision making module and a calibration updating module, and is characterized in that real-time state sensing is realized through the data acquisition and twin synchronization module; the strategy generation module formulates a low-oscillation risk exchange strategy, the risk rehearsal module verifies the safety of the strategy, the optimization decision module screens an optimal scheme, and the calibration update module ensures the accuracy of the digital twin and the continuous optimization of the system. By dynamically adjusting the simulation step size and a real-time oscillation detection mechanism, high-frequency numerical oscillation introduced by the power electronic equipment is effectively suppressed, the accuracy of transient process simulation is remarkably improved by combining the regularized admittance matrix and multi-time scale coupling simulation, the recognition capability of a safety verification system on operation risks is ensured, and the safety verification system has a wide application prospect. And mistaken release of a high-risk strategy is avoided.

The invention relates to the field of power grid simulation, and particularly discloses a control method of an alternating-current power grid broadband oscillation simulation device based on a component physical model, which realizes broadband domain oscillation simulation of an alternating-current power grid based on the component physical model and a notch filter. Specifically, according to the control method of the alternating-current power grid broadband oscillation simulation device based on the element physical model, an adjustable element physical model type and a corresponding impedance parameter serve as input conditions, and a dynamic voltage compensation component excited by power grid impedance is calculated in combination with an adjustable notch filter; and a power grid simulation reference signal is constructed in real time through superposition of an original input reference voltage value and a dynamic voltage compensation component excited by power grid impedance, so that oscillation simulation in a wide frequency domain of the alternating-current power grid is realized.

Disclosed in the present invention are an optimization-based regulation and control method and apparatus for distributed energy storage, a device, and a storage medium. The method comprises: on the basis of current weather parameters, constructing an extreme weather model; determining a plurality of faulted and out-of-service elements in which faults will occur in a power distribution network; then on the basis of the faulted and out-of-service elements, system parameters of a distributed energy storage system, and an operation parameter of the power distribution network, constructing a dual-objective optimization model taking load loss minimization and power failure time minimization as objectives; and finally, solving for the dual-objective optimization model to generate an optimal regulation and control scheme applied to the distributed energy storage system. Therefore, when a fault has occurred in the power distribution network, the distributed energy storage system is regulated and controlled by means of the optimal regulation and control scheme, such that power supply of the power distribution network is restored as soon as possible in extreme typhoon weather, and the transient power deficit of the power distribution network is made up promptly. Therefore, the present invention can effectively guarantee the safe operation of power distribution networks under the condition of extreme typhoon weather.

The invention discloses an intelligent peak regulation method with optimized combination of energy storage and conventional peak regulation means, and the method comprises the following steps: building a holographic situation awareness layer: capturing the voltage, current phase angle and frequency deviation of a power grid, and monitoring the pressure fluctuation in a diesel engine cylinder; data transmission and preprocessing: encrypting data of the miniature phasor measurement unit and the quantum sensor by using a quantum key distribution technology; the self-adaptive decision engine is used for performing Nash equilibrium calculation by utilizing a federal reinforcement learning architecture, through a local Agent based on a power generation / energy storage unit state autonomous optimization control strategy and in combination with a digital twin platform, solving multi-target conflicts of economy, reliability and carbon emission, and generating a global optimal scheduling instruction; the execution control layer is used for tracking resonance points and dispersing harmonic energy spectrums; dynamic topology reconstruction: a harmonic source is positioned by using a digital twin platform, and the topology of the energy storage system is automatically switched according to the harmonic frequency and position; continuously optimizing the digital twin platform; and full-process closed-loop feedback and self-learning are carried out.

The invention discloses a power distribution equipment voltage quality adjustment control method, device and equipment, and the method comprises the steps: collecting voltage waveform data in the operation process of power distribution equipment, and carrying out the feature extraction of the voltage waveform data, and constructing a voltage feature library; identifying a resonance voltage mode based on the voltage feature library, performing energy density analysis on the resonance voltage mode to position a resonance energy collection point, generating a resonance compensation signal, and converting resonance energy into adjusting power; performing voltage distribution evaluation on the resonance enhancement control domain, identifying an energy surplus region and an energy deficient region, and constructing a bidirectional energy channel between the two regions to generate an energy balance configuration table; carrying out oscillation characteristic analysis on the energy balance configuration table, and implementing oscillation type voltage regulation at a periodic regulation point; carrying out key path identification on the oscillation adjustment parameters, and optimizing a processing sequence to generate an adjustment time sequence table; and extracting execution instructions of each node according to the adjustment time sequence table to generate a hierarchical control instruction set, thereby realizing active perception, intelligent analysis and accurate regulation and control of voltage quality.

Disclosed is a method and system for SE voltage sag control based on flexible multiplexing of an energy storage system. The present disclosure achieves controlling of an early stage of the voltage sag using a supercapacitor, and continuous controlling of a late stage of the voltage sag using the energy storage system; achieves real-time accurate detection of the voltage sag on a grid side and a load side; achieves optimal energy compensation through flexible switching in an input stage and an output stage to prevent SE from tripping due to a phase jump caused by the optimal energy compensation; on a DC / DC side, performs power frequency division control based on a difference in response features between the supercapacitor and the lithium battery energy storage system; on a DC / AC side, provides a composite control system including a voltage feedforward loop, a voltage feedback outer loop, and a current feedback inner loop.

The invention provides a dynamic voltage support method for a grid-connected converter facing power grid balance disturbance. The method comprises the following steps: Step 1, modeling a grid-connected system; step 2, carrying out phase-locked loop dynamic modeling; 3, a dynamic current compensation branch circuit is designed; dynamic currents induced by balance disturbance are respectively compensated to a current inner ring reference value of a grid-connected controller, and the influence of the grid-connected inverter on the stability of the system when the grid-connected inverter is disturbed is reduced by compensating the dynamic currents. According to the method, the mathematical model of the slow dynamic characteristic of the phase-locked loop is considered in network tracking control for the first time, and a dynamic voltage support basis is provided based on feed-forward decoupling, so that the stability of the port voltage of the converter when the system is subjected to equilibrium disturbance is realized. According to the invention, a voltage compensation branch considering the dynamic behavior of the phase-locked loop is established based on a network following control strategy, and the oscillation of the voltage of the output port when the converter grid-connected system is subjected to balance disturbance is suppressed to a certain extent.

The invention discloses a new energy electric power robustness control method, system and device for preventing chain overload of a power transmission section and a medium. The method comprises the following steps: obtaining the active power flow size and the operation state of each branch in the power transmission section; calculating the comprehensive sensitivity of all the controllable nodes to each branch in the power transmission section, and generating a composite priority index based on the calculated comprehensive sensitivity, the classification of the nodes and the new energy fluctuation risk; performing priority ranking on the generator nodes to generate a node sequence; in combination with a reverse equivalent pairing principle, selecting an adjustment node pair, and calculating an adjustment amount of node output by considering an adjustment amount dynamic margin constraint of new energy output uncertainty; recalculating the active power flow and the operation state of each branch in the section; and judging whether the section power flow and the margin meet a termination condition or not to realize optimal control. According to the method, the operation robustness of the new energy power system is improved, and the overload of the transmission section can be quickly and efficiently eliminated.

The invention relates to the technical field of electric energy storage systems, and discloses an electric energy storage system hierarchical cooperative control method based on source-load-storage dynamic matching, and the method comprises the steps: obtaining a common connection point voltage sampling sequence, and calculating a second-order change rate; collecting the first-order change rate of the output current of the energy storage converter and determining a polarization constraint coefficient; switching a control mode according to a second-order change rate magnitude and a polarization constraint coefficient symbol, and utilizing a dynamic damping factor to constrain a duty ratio to adjust a step length; the dynamic damping factor is adjusted and increased when the polarization constraint coefficient exceeds a threshold value under the excitation and transformation state, so that the change rate of the output current is within the charge diffusion safety domain of the storage medium, dynamic damping is guided to implement asymmetric constraint through cooperation of trend pre-judgment and polarization stress identification, the output current is made to adapt to the charge diffusion limit, the switching frequency of the converter is reduced, and the stability of the converter is improved. Active substance precipitation is inhibited; and the total throughput of the equipment in the full life cycle is improved.

The invention relates to a doubly-fed variable-speed pumped storage unit fractional order PID additional frequency control method and system, and the method comprises the steps: building an electrical mathematical model of a doubly-fed induction motor based on a synchronous rotating coordinate system, enabling a stator flux linkage to be aligned with the d-axis direction through employing a stator flux linkage directional control strategy, and enabling the stator flux linkage to be aligned with the d-axis direction; therefore, decoupling adjustment of active power and reactive power output by the unit is realized. The frequency deviation between the power grid common connection point frequency and the rated frequency is obtained and serves as an input signal of the fractional order PID additional controller, the frequency deviation can be effectively restrained under various working conditions, the system stability and the inertia supporting capacity are enhanced, and the method is suitable for auxiliary frequency control of a variable speed pumped storage unit in a high-proportion new energy power grid.

The invention discloses a broadband oscillation suppression method for offshore wind power transmitted through flexible direct current. The broadband oscillation suppression method comprises the steps that a topological structure of an offshore wind power end-to-end flexible direct current system and an impedance model of a flexible direct current transmitting end modular multi-level converter are established; a self-adaptive active damping suppression model comprising a power outer ring low-pass filtering link, a feed-forward cascade band-stop filtering link and a feed-forward additional phase compensation link is constructed, the power outer ring low-pass filtering link and the feed-forward cascade band-stop filtering link continuously operate, and the feed-forward additional phase compensation link is controlled to be input through a switch; monitoring common coupling point voltage harmonic waves in real time, and when it is detected that a risk frequency dominant frequency signal amplitude exceeds a threshold value, closing the switch and dynamically adjusting a center frequency and a damping coefficient of the feedforward additional phase compensation link; and the negative damping characteristic near the resonance point is suppressed through the adjusted feedforward additional phase compensation link.

The invention discloses a transient stability analysis method for a network-building type energy storage inverter based on torque enhancement control. The transient stability analysis method comprises the following steps: step 1, constructing a network-building type energy storage inverter model based on torque enhancement control; step 2, transient stability analysis of the net-building type energy storage inverter: 2.1, an energy function method, 2.2, influences of parameters on an attraction area, and taking a damping coefficient, line impedance and reference active power which influence a swing equation as variables, so as to obtain the transient stability of the net-building type energy storage inverter; transient power angle instability of the network-building type energy storage inverter is essentially caused by imbalance between the reference active power and the output active power, and the transient stability margin can be improved by reducing the reference active power during the fault period. The method has the beneficial effects that the problems of active power fluctuation and voltage instability of the grid-forming type energy storage inverter are considered, so that the fluctuation can be effectively suppressed and the oscillation can be reduced when the voltage of the system is suddenly changed.

Disclosed in the present invention are a shared energy storage configuration optimization method and system for a wind farm cluster. The method comprises: constructing a shared energy storage double-layer programming model; on the basis of the output of a wind farm cluster, an electricity price in an electric energy market and a compensation price in a frequency-modulation auxiliary service market, obtaining multiple uncertainty sets, using an improved K-means clustering method to perform joint clustering on the multiple uncertainty sets so as to obtain a typical scenario, and on the basis of the annual occurrence frequency of the typical scenario, calculating a typical scenario probability; and using a distributionally robust optimization method to model the multiple uncertainty sets on a short-time scale so as to obtain an extreme uncertainty scenario, using the typical scenario probability and the extreme uncertainty scenario to update the shared energy storage double-layer programming model so as to obtain an updated shared energy storage double-layer programming model, and using a particle swarm algorithm to perform solving so as to obtain a configuration result. By means of the method, shared energy storage configuration optimization is performed by means of taking various uncertainty factors into consideration, thereby improving the accuracy of shared energy storage configuration optimization.

The invention relates to the technical field of new energy, in particular to a new energy large-base economic optimization scheduling method and system considering multi-energy complementation. The method comprises the following steps: acquiring and processing operation data of each station in the new energy large base; constructing a multi-energy complementary model based on the processed operation data; on the premise that the scheduling target value is fully responded, the operation cost is minimized as the target, and an economical objective function is constructed; setting operation constraint conditions of the new energy large base; solving the economic objective function based on the operation constraint condition and an optimal scheduling algorithm to obtain an optimal scheduling scheme; and making an operation control strategy of each station based on the optimal scheduling scheme. According to the method, collaborative optimization of the new energy large base in multiple time scales and multiple space dimensions is realized, the new energy consumption rate and the system operation economy are remarkably improved, and a key technical support is provided for constructing a novel power system.

The invention discloses an extreme high-temperature scene multi-energy complementary optimization scheduling method considering uncertainty, which mainly comprises the following steps of: 1, fusing bidirectional time convolution, a bidirectional long-short-term memory network, an attention mechanism and a quantile regression forest, realizing high-precision prediction and uncertainty modeling of wind speed, solar irradiation and load, and constructing a typical day scene set; 2, constructing a two-stage scheduling model fusing epsilon-constraint multi-objective optimization and opportunity constraint mixed integer programming, optimizing and adjusting margin day ahead, and rolling and correcting a scheduling path within the day; 3, three physical correction mechanisms of wind power air density correction, photovoltaic temperature response and hydroelectric evaporation-water level coupling are provided for extreme high-temperature disturbance; and 4, a prediction-optimization-feedback-correction closed-loop process is integrated and constructed, and the stability and response toughness of the system under extreme climate are improved. The method has the beneficial effect that the prediction precision, the scheduling flexibility and the operation toughness of the system under the extreme climate are remarkably improved.