730 results about "Power compensation" patented technology

The invention discloses a phase modifier unit state monitoring and load control method and system for reactive power compensation of a power grid, belongs to the technical field of automatic control of power systems, and mainly solves the problem that service life loss is aggravated or a control target is single due to the fact that the health state of equipment is not fully considered when an existing phase modifier unit responds to reactive power requirements of the power grid. The method comprises the following steps of: calculating reactive vacancy and extracting vibration frequency band energy characteristics by acquiring voltage and frequency of a power grid as well as vibration, temperature and exciting current signals of a unit in real time, and constructing a health state index HSI in combination with self-adaptive wavelet basis selection; taking minimum equipment life loss and optimal power grid voltage stability as multiple objectives, dynamically generating a load control instruction by adopting a particle swarm algorithm, realizing weight adaptive adjustment based on HSI, and introducing an online life loss model as a constraint condition; finally, reactive power output is adjusted through an excitation system, and cooperative control of power grid stability and equipment life extension is achieved.

The invention relates to the technical field of microchip power compensation, and discloses an efficient power compensation method and system based on a microchip. According to the method, power parameter data of the microchip are collected through monitoring equipment, and the data comprehensively reflect the real-time power condition of the microchip. And then the collected power parameter data and a preset power threshold are compared and analyzed, and a corresponding power compensation control signal is generated according to an analysis result so as to realize accurate power regulation and control. And then the fluctuation characteristic of the power compensation control signal is evaluated to obtain a power compensation lag index and a power compensation efficiency index, and the acquisition frequency of the power parameter data and the execution mode of the power compensation control process are respectively adjusted based on the two indexes, so that the compensation efficiency is improved and the system flexibility is enhanced. And finally, the overall stability of the power compensation control process is monitored, and when the stability does not meet a preset condition, a power compensation invalid mark is generated to guarantee stable operation of the system.

The invention relates to the technical field of power system control and energy storage, and discloses an active power compensation control method in a network following mode based on a direct-hanging energy storage converter system, and the method comprises the steps: calculating a frequency deviation between a load side instantaneous frequency and a rated frequency; calculating an initial active power compensation reference value according to the frequency deviation and the frequency deviation change rate; synchronously performing first-order inertial filtering and integral operation with amplitude on the initial active power compensation reference value to generate a final active power compensation instruction; adding the final active power compensation instruction and a preset steady-state active power reference value to obtain a total active power reference value of the converter; and taking the total active power reference value of the converter as a reference value of an active power outer ring, and generating a modulation signal of the converter through power control and current control. According to the invention, the virtual inertia link can suppress the rapid change rate of the frequency, and the virtual droop link provides steady-state power support, so that the energy storage system shows a friendly grid-connected characteristic similar to that of a synchronous generator.

The invention discloses an urban power grid coordination control method and system based on deep reinforcement learning, and solves the technical problem that the current urban power grid coordination control method causes the limitation of the urban power grid power flow adjustment precision. The method comprises the following steps: after acquiring an expert experience data set, normalizing an urban power grid state vector at the current moment to obtain a normalized vector; and pre-training the initial strategy network by minimizing a loss function according to the vector and the expert experience data set to obtain a pre-trained strategy network, and calculating and outputting the active power of the unified power flow controller and the reactive power of the reactive compensation equipment. And in combination with the power parameters and the normalized vector, determining a normalized future state vector and a current reward value by using a power flow equation and a multi-target reward function, optimizing the pre-training network by using a PPO target function and a value network to obtain a target strategy network, and outputting a target action vector as a coordination control scheme.

The invention relates to the technical field of power system control, and discloses a photovoltaic energy storage primary frequency modulation cooperative control system based on output prediction and SOC balance, which comprises a photovoltaic array unit, a photovoltaic inverter, a sodium ion super capacitor energy storage unit, a bidirectional DC / DC converter and a cooperative controller. The cooperative controller is configured to identify an output trend by using photovoltaic power prediction data, and dynamically adjust an energy storage SOC reference anchor value; a source storage virtual impedance model considering the real-time efficiency characteristic of the sodium ion super capacitor is constructed, and the primary frequency modulation power demand is dynamically allocated. When the state of the energy storage unit deteriorates, the power compensation amount is calculated through photovoltaic load shedding sliding mode offset control, and the closed-loop target of the photovoltaic inverter is corrected to share the frequency modulation task. And after the frequency modulation is finished, controlling the photovoltaic power to recover by adopting an asymmetric step length. The method solves the problems that the energy storage standby is not matched and the response capability is reduced under the extreme working condition, and improves the frequency modulation stability of the system.

The invention provides a method for improving source network load storage integrated adjustment capability, and belongs to the technical field of power system automation and energy management. Multi-side data acquisition terminals are deployed to acquire power grid operation parameters in real time and perform adaptive extended Kalman filtering noise elimination; a source-load-storage dynamic coupling matrix is constructed based on historical data, adjustment weight coefficients of all links are calculated, and an adaptive prediction fusion model is used for energy storage state estimation and new energy output prediction. An energy storage power compensation instruction, an adjustable load starting instruction and a source load storage scheduling instruction are generated in a grading manner according to the magnitude of power grid frequency deviation by adopting a hierarchical cooperative regulation and control strategy, and an adjustment weight coefficient and a control instruction are iteratively optimized according to an adjustment effect, so that the technical problem of insufficient source network load storage multi-link cooperative adjustment capability is solved.

The invention discloses a harmonic suppression and dynamic reactive compensation control method for an energy router, which is suitable for a micro-grid and a distributed energy access system. According to the method, three-phase current and voltage signals of an alternating current port of the energy router are collected, five-time and seven-time main harmonic components are extracted through fast Fourier transform, harmonic compensation current instructions equal in amplitude and opposite in phase are generated and injected into an inverter to be output, and active counteracting of main harmonics is achieved. Meanwhile, the bus voltage deviation and the change rate thereof are detected, a reactive current instruction is adjusted on line by adopting a fuzzy self-adaptive PI controller, rapid and smooth dynamic reactive compensation is realized, and the bus voltage is stabilized. Decoupling control of active / reactive and harmonic components is realized in combination with Park conversion, and virtual impedance is introduced to enhance system damping and harmonic suppression capabilities. Compared with the prior art, harmonic suppression and voltage support can be simultaneously realized under a single control framework, the response speed is high, the stability is high, and the method is suitable for high-performance grid-connected operation of the multi-port energy router.

The invention provides a photovoltaic power station full power hour deviation prediction method, which belongs to the technical field of photovoltaic power stations, and comprises the following steps: establishing a component nonlinear attenuation model by collecting multi-physical field environmental parameters, identifying temperature cycle and freeze-thaw cycle, and calculating an acceleration factor and a damage index; an attenuation compensation coefficient is introduced according to attenuation rate deviation to correct component power, a total-station subarray topology network model is constructed, a maximum-flow minimum-cut algorithm is applied to identify a power transmission bottleneck, and direct-current side voltage and reactive compensation configuration are optimized to balance power flow between subarrays; a space-time diagram convolutional network and a gating circulation unit are used for extracting space topological characteristics and a time sequence evolution rule, a prediction result is corrected by applying a hysteresis compensation coefficient according to irradiance change characteristics, and the technical problem that the prediction accuracy of the full power generation hours of the photovoltaic power station is insufficient is solved.

The invention relates to the field of energy storage and reactive compensation capacity optimization configuration, in particular to a new energy pooling station energy storage and reactive compensation configuration method based on big data analysis. The method comprises the following steps: firstly, acquiring data, respectively obtaining a sensitivity coefficient of active power and a sensitivity coefficient of reactive power through a disturbance response sampling linearization identification method, and introducing a dynamic active-reactive decoupling voltage improvement evaluation algorithm based on sensitivity weighting to obtain a voltage improvement amplitude of a node; then, based on the voltage improvement amplitude of the node, constructing a target function; and carrying out iterative solution on the constructed objective function, and outputting the optimal active power regulation quantity of each energy storage unit and the optimal reactive power regulation quantity of each reactive compensation device. The technical problems that the sensitivity coefficient is difficult to update in real time, the calculation scale is huge, the response speed of real-time optimization scheduling, unnecessary active loss and battery life loss are seriously influenced, and the physical balance of the voltage improvement amplitude between the nodes is ignored are solved.

The invention provides a method and a device for controlling active power of an optical storage magnetic reactance type dynamic voltage restorer, and relates to the technical field of power electronics. Determining a power grid side fundamental wave voltage amplitude, a load actual fundamental wave voltage amplitude and a target frequency voltage harmonic equivalent amplitude, extracting energy storage available active power and a preset fundamental wave and harmonic compensation coefficient, calculating a fundamental wave voltage deviation rate and a harmonic deviation rate, and when the fundamental wave voltage deviation rate reaches a preset deviation threshold value, determining the harmonic equivalent amplitude of the target frequency voltage; active power compensation amounts of fundamental waves and harmonic waves are calculated respectively, and a total compensation active power demand is obtained through superposition; according to a comparison result of energy storage available active power and a total compensation demand, a distribution proportion of the two is adjusted, a fundamental wave voltage amplitude change slope and a fundamental wave voltage deviation rate variance are calculated based on a monitoring interval comprising a plurality of sliding windows, and a fundamental wave compensation coefficient is adjusted so as to correct the total compensation demand.

The invention relates to the field of electrochemical energy storage systems, in particular to a multi-energy complementary electrochemical energy storage system adaptive to load power abrupt change, which comprises a multi-source energy supply component, a power conversion module, an instantaneous power compensation unit (supercapacitor), a direct current bus, an energy storage converter and a central controller. The multi-source energy supply assembly is connected to the direct-current bus through the corresponding power conversion module, the super capacitor is directly connected with the direct-current bus, the energy storage converter is connected with the direct-current bus and the load, and the central controller is connected with all the assemblies. And when the load instantaneous power abrupt change exceeds a threshold value and the bus voltage deviates from an allowable range, the supercapacitor automatically triggers charging and discharging response, releases or absorbs peak current, and fills a power gap. According to the system, instantaneous load compensation is undertaken through the supercapacitor, a low-rate lithium battery and multi-energy priority power supply and dynamic power distribution are matched, an impact load is quickly responded, meanwhile, the system cost is reduced, the power supply stability and safety are improved, and the energy utilization efficiency is optimized.

The invention discloses a reactive compensation equipment fault automatic early warning system based on an intelligent algorithm, which belongs to the technical field of intelligent power grids and comprises a fault data acquisition module, a feature processing module, a fault diagnosis and evaluation module and a visualization module. Matlab software, Simulink software, a configurable point fast Fourier transform algorithm, a fluorescence imaging technology, a capacitive detection technology and a related intelligent algorithm are combined, reactive power compensation equipment fault analysis is carried out from three angles of a lightning arrester, a capacitor and a reactor, and the fault of the reactive power compensation equipment is analyzed in a chart form. And the visual output of the output result of the reactive power compensation equipment fault diagnosis model is realized. According to the invention, intelligent and precise diagnosis and visual early warning of reactive power compensation equipment faults are realized by comprehensively collecting multi-dimensional data of the lightning arrester, the capacitor, the reactor and overall compensation.

The invention relates to the technical field of power control, and discloses an energy storage frequency modulation control method and device, electronic equipment and a storage medium. Comprising the following steps: predicting system state variables based on an MPC mechanism model and an LSTM-based load prediction model; based on the system state variable and the load disturbance state variable, outputting a basic power instruction at the current moment through an MPC-based model prediction controller; based on the system state variable and the load disturbance state variable, outputting a power compensation instruction through a reinforcement learning agent based on DDPG; superposing the basic power instruction and the power compensation instruction to generate a target control instruction and acting the target control instruction on a control object; the output state of the control object base is acquired, and the output state is used as a feedback signal. According to the invention, the response speed, the control precision and the operation robustness of the energy storage frequency modulation system to complex power grid working conditions are obviously improved.

The invention provides a photovoltaic power station layered reactive power coordination optimization method and device considering SVG access, equipment and a storage medium, and relates to the technical field of reactive power compensation. According to the method, a three-layer progressive control system is constructed based on a photovoltaic power station topological structure and reactive power transmission characteristics: reactive power centralized compensation is completed preferentially through a main transformer low-voltage side SVG, so that the loss of a current collection line is reduced to the maximum extent; and when the SVG compensation capacity reaches the upper limit, the residual reactive power is reasonably distributed to each photovoltaic power generation unit. Simulation verification results show that the strategy can strictly control the voltage deviation of the grid-connected point within a stable interval, and the voltage stability and economical efficiency of grid-connected operation of the photovoltaic power station are remarkably enhanced.

The invention discloses a distribution network on-line ice melting reactive compensation method and system based on magnetic control switch grading compensation, and relates to the field of disaster prevention and reduction and electric energy quality control of an electric power system. The problems of reactive unbalance, voltage fluctuation and harmonic pollution in the ice melting process are solved. The core is that a Z-type grounding transformer zero-sequence ice melting topology and a magnetically controlled switch grading compensation topology are integrated, and line ice melting is realized by constructing a zero-sequence ice melting loop; a double-state control strategy of blocking-state high-damping standby and conducting-state inrush-current-free switching of a magnetically-controlled switch branch is designed, and integration of reactive compensation and harmonic filtering is achieved by combining resonance tuning; the number of compensation branch switching groups is dynamically adjusted by adopting split-phase independent nine-zone graph closed-loop hierarchical control. According to the invention, ice melting and reactive compensation co-topology operation is realized, the stability of a power grid is improved, the device loss and the operation and maintenance cost are reduced, the mobile ice melting requirement is met, and the engineering practicability is high.

The invention discloses an intelligent reactive power automatic compensation control device and method, and relates to the technical field of reactive power compensation of a power system. The device comprises a power supply input module, a sampling and signal conditioning module, a high-speed ADC module-block, an FPGA high-speed processing unit, a data storage module, an AI decision unit, a control driving module, a multi-channel capacitor switching device and a capacitor bank module. Through combination of the multi-channel capacitor switching device and an intelligent dynamic control technology, matrix-type accurate switching control of the capacitor bank is realized, the corresponding capacitor bank can be flexibly switched based on reactive power data dynamically acquired in real time, instant accurate compensation of reactive power capacity is achieved, and the reactive power capacity of the capacitor bank is accurately compensated. And the adaptability and the flexibility of compensation under different load working conditions are ensured.

The invention belongs to the technical field of seabed hole domain electromagnetic detection, and relates to a hybrid multi-frequency reactive compensation method for a seabed electromagnetic emission system, which comprises the following steps of: designing a topological structure of a hybrid multi-frequency reactive compensation system according to an impedance matching requirement of a low-frequency emission frequency band of the seabed electromagnetic emission system; deducing a compensation strategy and an implementation method of the hybrid multi-frequency reactive power compensation system based on the multi-frequency reactive power compensation requirement of the load; and analyzing the influence of the reactive compensation combination proportion of the impedance matching part of the passive TCC and the impedance matching part of the active ICC on the requirement of the direct-current power supply voltage VICC, and carrying out parameter design of the passive TCC and the active ICC. According to the hybrid multi-frequency reactive compensation technology, the single-frequency reactive compensation capability is further expanded into self-adaptive dynamic compensation of multi-frequency reactive power in a wide frequency band; the additionally introduced active impedance matching part effectively improves the multi-frequency impedance matching precision, and the frequency spectrum energy utilization rate of multi-frequency transmitting signals is further improved in a low-frequency transmitting frequency band.

The invention relates to the technical field of power equipment cooling, and discloses a reactive power compensation device evaporative cooling system which comprises an SVG compensation cabinet, one side of the SVG compensation cabinet is provided with a cooling liquid discharge pipe and a cooling liquid access pipe, and the cooling liquid discharge pipe and the cooling liquid access pipe are both connected to a heat exchange mechanism. An automatic replacement mechanism is arranged in the heat exchange mechanism, and the heat exchange mechanism is connected to the cooling mechanism; according to the invention, the heat exchange mechanism is connected with the micro-pore plate of the IGBT module for heat exchange, meanwhile, the cooling mechanism is matched for evaporative cooling of cooling water for heat exchange, and the automatic replacement mechanism can complete the replacement process of the filtering tank under the condition of continuous work without shutdown, so that stable operation of power equipment is guaranteed; meshes of the air inlet plate are cleaned through the fan cover anti-blocking mechanism, so that the meshes are prevented from being blocked; and in the cleaning process, the circulating cleaning mechanism is matched to automatically remove impurities such as fallen leaves in the cooling mechanism, and the labor cost of system management is reduced.

The invention provides a two-stage power distribution network reactive power optimization method based on model-data hybrid driving, and aims to improve voltage quality and operation efficiency in a renewable energy source high-permeability scene. According to the method, the advantages of deterministic optimization and deep learning are combined, and precise regulation and control are realized in stages; solving a tap position optimization scheme of the on-load tap changing transformer (OLTC) in the day-ahead stage; in the real-time control stage, a deep learning framework based on a Transform architecture is designed, three typical scenes of wind power daytime photovoltaic and night photovoltaic are adapted respectively, and a dynamic reactive power compensation decision under a fast time scale is realized. Through a double-layer cooperation mechanism of'day-ahead pre-scheduling + real-time deep learning correction ', calculation efficiency and control precision are effectively balanced, and a reactive power optimization solution considering economical efficiency and safety is provided for a power distribution network with high-proportion new energy access.

The invention discloses a building light storage energy economic scheduling and power compensation management system and method, and relates to the technical field of building energy management, and the method comprises the following steps: obtaining scheduling data in a future preset scheduling period, carrying out the prediction analysis based on the scheduling data, and generating a macroscopic charging and discharging scheduling strategy; the method comprises the following steps: acquiring a sky image sequence by using a visual sensor, analyzing the movement of a cloud cluster based on the sky image sequence to predict the descending trend of photovoltaic power, and sending a pre-compensation instruction to an energy storage converter and controlling the energy storage converter to charge and discharge before the actual descending of the photovoltaic power. According to the method, the descending trend of the photovoltaic power can be accurately predicted in advance, the pre-compensation instruction is sent to the energy storage converter before the actual falling of the power, the peak-valley electricity price arbitrage income is maximized through the combination of high-precision prediction and accurate pre-compensation, and the optimization and improvement of the overall performance of the building optical storage system are further realized.

The invention discloses a distributed energy cooperative control method and device for a photovoltaic power plant, and relates to the technical field of intelligent power grid control. The distributed energy cooperative control method and device for the photovoltaic power plant comprises the following steps: S1, collecting working data of an inverter, and preprocessing the working data of the inverter to obtain the preprocessed working data of the inverter; s2, constructing a to-be-classified inverter set, extracting a reference sample, evaluating a network exit risk, and outputting a network exit state label of the to-be-classified inverter; s3, identifying a power intervention candidate region, extracting non-off-grid inverters to construct a power compensation resource set, screening out a power regulation target, and evaluating the regulation priority of the power regulation target; and S4, calculating a power adjustment step length of the power adjustment target, performing power adjustment, and constructing a feeder adjustment database after adjustment to realize closed-loop adaptive optimization of power control. The problem that the voltage drop abnormity at the tail end of the feeder line is not identified, so that the grid-off fault of the inverter is misjudged is solved.

The invention belongs to the technical field of laser material processing, and relates to a low-temperature laser synchronous welding method for a main-grid-free structure of a TOPCon battery, which comprises the following steps of: dividing and shaping incident laser into a plurality of paths of independent laser sub-beams matched with a fine grid line pattern through a spatial light modulator, and constructing a synchronous laser dot matrix energy field; the method comprises the following steps of: obtaining temperature distribution of a welding area in real time through a high-resolution infrared thermal imager, constructing a full-field temperature data set, performing temperature extraction and deviation analysis on the data set, generating power compensation amount of each sub-area, and judging whether to trigger power fine adjustment or not based on a preset temperature uniformity control judgment rule. And a fine adjustment object and a final compensation amount are determined during triggering, heat preservation and curing treatment are carried out on a fine-adjusted welding area, finally, a main-grid-free welding structure which is in uniform low-temperature connection with all the fine grid lines is formed, and uniform, reliable and low-damage synchronous connection between all the fine grid lines and the welding strip is achieved.

The invention relates to the technical field of power grid data processing, in particular to a power distribution network dynamic reactive power compensation optimization method based on a network construction SVG, and the method comprises the steps: S1, collecting the real-time state data of a power grid, and carrying out the reactive power demand dynamic evaluation through S2, according to the method, a corresponding reactive power compensation scheme is adopted in the step S3 to match the state of the voltage, the reactive power compensation scheme is optimized in the step S4, and adaptive voltage source control is performed on the networking SVG and the reactive power compensation scheme is further optimized in the steps S5 to S6. According to the method, the real-time state data of the power grid are collected, the sensitivity coefficient matrix and the reactive compensation scheme are obtained according to the real-time state data of the power grid, and the reactive compensation scheme is optimized and executed, so that the accuracy and efficiency of dynamic reactive compensation are improved.

The invention relates to the technical field of energy storage systems, in particular to an energy storage system power smoothing method and system based on model predictive control. By introducing the adaptive prediction model and combining with the dynamic frequency decomposition module, the power signal can automatically adjust the frequency decomposition threshold according to the dynamic change of the signal, so that the flexibility and precision of frequency decomposition are remarkably improved, and the accuracy of frequency decomposition is improved by automatically adjusting the frequency decomposition threshold on the basis of the dynamic change information. Therefore, the power difference value sequence is decomposed into a plurality of dynamic frequency components, the change trend of each frequency component is predicted, the future power requirement can be estimated more accurately, the charging and discharging strategy of the energy storage equipment is adjusted in real time, it is guaranteed that the energy storage system can provide efficient and accurate power compensation in practical application, and the energy storage efficiency is improved. According to the invention, the parameters of the adaptive prediction model can be corrected in real time, and the continuous smoothing of the power of the energy storage system is realized by continuously optimizing the frequency decomposition precision and the power prediction accuracy.

The invention relates to the technical field of power system reactive compensation, and discloses an intelligent integrated hybrid dynamic reactive compensation control system which comprises an execution unit and an intelligent control unit. The execution unit comprises a static synchronous compensator unit and a thyristor switched capacitor unit; the intelligent control unit comprises a system state monitoring module, an impedance parameter feed-forward mapping table storage module and an active transient pre-suppression coordinator. A three-stage handover control process is executed through an active transient pre-suppression coordinator, a static synchronous compensator unit is controlled to output compensation power in advance before a thyristor switching capacitor unit acts, and reactive power impact at the switching moment is actively stabilized; meanwhile, according to the new system impedance state after switching, the optimal control parameter set is retrieved and loaded from the mapping table, and the problem of mismatching of the control parameters is solved. According to the invention, high-efficiency cooperation of high-capacity step compensation and rapid continuous adjustment is realized, and the voltage stability of the power grid is improved.

The invention relates to a V2G station power control method and system and computer equipment. The method comprises the steps of collecting operation data of a V2G station in a current control period or a current control time period; when it is judged that the V2G station triggers a power control event according to the operation data, smooth power is obtained according to the operation data; obtaining a power deviation according to the target power reference and the smooth power; acquiring smooth compensation power according to the compensation coefficient, the total maximum adjustable power and the power deviation; decomposing the smooth compensation power according to a to-be-compensated target object, and generating a compensation power instruction corresponding to the to-be-compensated target object; and issuing the compensation power instruction to the corresponding to-be-compensated target object so as to perform power compensation on the to-be-compensated target object. According to the invention, a traditional control mode adopting a fixed power amplitude limiting, simple filtering or centralized scheduling mode is changed, the response speed, the compensation precision and the station income are considered, and smooth, stable and high-robustness power control is realized.

The invention relates to the technical field of high-voltage dry-type reactive power compensation, and discloses an underground mining high-voltage dry-type reactive power compensation device. Comprising a dry-type iron core filter reactor module, a high-voltage self-healing parallel capacitor module, an intelligent measurement and control protection integrated module, a heat dissipation dustproof adaptive adjustment module, a high-voltage insulation wiring terminal group, a fault positioning and early warning module and a remote monitoring communication module. All the modules are integrated into a whole through modular design. According to the invention, a modular integrated design is adopted, each functional module is uniformly arranged in the mining explosion-proof shell to form a uniform grounding loop, the shell meets the explosion-proof standard, the protection grade reaches IP65, and the high-grade insulation design of each module is matched, so that the underground high-dust, high-humidity and explosive environment is effectively adapted; the problems that a traditional device is large in potential safety hazard and poor in adaptability are thoroughly solved, and the safety and reliability of the device are remarkably improved.

The present application relates to the technical field of power system stability control, and is a steady-state voltage control method and system for reducing transient voltage instability risk of a new energy collection station, the method comprising: establishing a new energy collection station bus transient voltage model of a new energy sending end power grid after a DC bipolar blocking fault; setting a new energy collection station transient voltage instability limit of the new energy sending end power grid after the DC bipolar blocking fault; and setting a steady-state voltage control threshold for reducing the transient voltage instability risk of the new energy collection station bus based on the new energy collection station bus transient voltage model. The present application can achieve the purpose of reducing transient voltage instability risk by controlling the steady-state operating voltage of a high-proportion new energy sending end power grid without increasing dynamic reactive power compensation equipment. The present application is used to solve the problem of transient voltage instability caused by new energy off-grid of a new energy collection station of a DC sending end power grid after a DC fault due to excessively high transient voltage caused by excessively high steady-state operating voltage of the power grid.

The invention discloses an SMES-MMC cooperative frequency supporting method for a new energy sending-out system, discloses a system and a medium with the SMES-MMC cooperative frequency supporting method for the new energy sending-out system, and provides a method for improving the transient stability of a wind power-containing multi-machine system by combining superconducting energy storage. A dynamic power compensation control strategy based on sliding mode control is designed by constructing a mathematical model of a superconducting energy storage and direct-driven wind power generation system, and optimal control of system frequency recovery and voltage stability is realized by combining slope power recovery characteristics of a fan.

The invention relates to the technical field of power system automation, in particular to a new energy box-type substation state estimation, regulation and control method, which comprises the following steps of: injecting a multi-frequency electrical excitation signal into a box-type substation, acquiring a voltage signal and a current signal, establishing a digital twin model based on primary wiring topology and grounding grid topology, performing combined state estimation and parameter estimation to obtain a comprehensive feature vector representing a degradation state, and inputting the comprehensive feature vector into a fault diagnosis and life evaluation model to obtain a risk index; and constructing a risk weighting objective function taking active output, reactive output and current as independent variables, and solving to obtain a control quantity vector for adjusting power output, reactive compensation and an electric protection device action constant value, thereby reducing the operation risk and prolonging the service life of equipment while ensuring the grid-connected requirement.