74 results about "Power injection" patented technology

The invention discloses a multi-modal abnormal data detection and restoration method and system oriented to a power business scene. The method comprises the following steps: collecting multi-source heterogeneous power data, abstracting a power system into a weighted undirected graph, uniformly mapping the multi-source heterogeneous data into a graph signal, and preprocessing the collected data; extracting spatial features of nodes in a topological structure by adopting a graph convolutional network, and capturing a time dependency relationship in combination with a time sequence encoder; identifying various types of data abnormal points through an abnormal scoring function fusing the time sequence prediction error and the neighborhood consistency; a prediction-reconstruction combined repair strategy is adopted, time sequence prediction and neighborhood diffusion estimation are fused, and a preliminary repair value is generated; a lightweight parameter adapter is introduced, a scene feature vector is used as input, a repair weight and a regularization coefficient are dynamically generated, and a repair strategy is automatically adjusted; and performing physical consistency verification on a data result, wherein the physical consistency verification comprises power injection conservation constraint, voltage amplitude range constraint and time sequence continuity constraint.

The invention discloses a VSG-based low-voltage ride-through hybrid control method for a network-building converter. The method comprises the following steps: acquiring grid-connected point voltage and output current of a grid-forming converter in real time, and judging whether to enter a low-voltage ride-through state according to a grid voltage drop degree; in the initial stage of a fault, a current reference saturation mode is adopted to quickly limit the output current of the converter so as to prevent a power device from being damaged by overcurrent; in the fault duration stage, a dynamic self-adaptive virtual impedance and reactive power reference coordinated regulation mechanism is introduced, so that the converter gradually recovers the reactive power injection capability while limiting the fault current, thereby realizing effective support for the grid-connected point voltage; when the voltage of the power grid drops seriously, the capacity of the inverter can be reserved for the reactive power support by temporarily reducing the output of the active power. According to the method, the current protection and voltage support requirements during the fault period are considered, and the operation stability and the power grid adaptive capacity of the grid-forming converter in the low voltage ride-through process are improved.

A measurement and control simulation device based on a measurement and control data transmission integrated system comprises an upper computer display control test module, a PC host module, a signal processing master controller module, an isolation DC / DC module, a down-conversion module, a filtering module, an isolator module and an outer end face interface module. The system has the characteristics of multiple modulation systems, a spread spectrum function, controllable output power, Doppler frequency change and the like, can be used for simulating a star chain control system link test in a ground test system, and fully improves the index assessment performance during system docking; meanwhile, the design of a down-conversion link meets the requirements for the strength and sensitivity of the received signal, the stability and accuracy of the radio-frequency signal after frequency conversion in a low-power injection state are remarkably improved, and a new scheme is provided for a high-frequency conversion mode. Besides, the display control module of the equipment has the functions of multiplexing, reconstruction, multi-data interaction and the like, so that multifunctional and multi-task full-system test coverage can be realized, the cost investment of test systems such as spacecrafts and the like is greatly reduced, and the multifunctional index test coverage efficiency is improved.

The invention discloses a high-proportion new energy power system frequency response modeling method and application. The method comprises the steps that all nodes in a power system are divided into active nodes and passive nodes; establishing a linear power flow model of the power system; reducing the linearized power flow model to obtain an equivalent active node power flow injection power expression; frequency-active response models of various power resources in the active nodes and the passive nodes are established respectively; combining an equivalent active node power flow injection power expression with a frequency-active response model, and constructing a unified linear state space model taking an active node phase angle and frequency as state variables; and calculating the frequency response of the power system based on the unified linearization state space model. The unified linear state space model constructed by the method can realize quicker and more accurate simulation and stability analysis of the frequency dynamic state of the high-proportion new energy power system, and is suitable for quick simulation and online analysis of a large-scale system.

The invention relates to a new energy grid-connected control technology, in particular to a grid-following type and grid-constructing type dual-mode switching control method and system for a voltage source converter, and the method comprises the steps: building an electrical topology and mathematical model of a grid-connected system, including modeling a main circuit under a synchronous dq coordinate system with a PCC voltage phase angle as a reference, obtaining active P and reactive Q expressions injected into the power grid; under the control of the following network type GFL, a PLL unit, a power outer ring and a current inner ring are adopted to realize synchronization and active / reactive injection control; under the control of the network construction type GFM, a power synchronous ring, an excitation ring, a voltage ring and a current ring are adopted to form network construction control; in the switching process, the current inner ring structure is kept consistent with the reference, when the GFM is switched to the GFL, the output of the power synchronous ring integrator serves as the initial value of the PLL unit integrator, and when the GFL is switched to the GFM, the output of the PLL unit integrator serves as the initial value of the power synchronous ring integrator.

The invention relates to the technical field of digital ring main unit power distribution operation regulation and control, and discloses an intelligent power distribution operation regulation and control system of a digital ring main unit, which comprises a state sensing module, a logic judgment unit and an execution regulation and control module, the logic discrimination unit identifies a feeder power distribution state according to the power flow distribution data and generates a topology reconstruction scheme; the execution regulation and control module drives a switch to act, migrates the feeder loop to a target bus section, forms transition impedance by using closing pre-breakdown current during migration, inhibits transient inrush current, drives an impedance compensation branch to access according to a zero-sequence current vector of the feeder loop, and counteracts neutral point potential drift by using potential bias generated by reactive power injection; according to the method, the power distribution topology is converted from static hard connection to logic remapping, circuit transient state physical process reconstruction and stock hardware redundancy mining are utilized, node power vector balanced distribution is achieved under the condition that the feeder line continuous power receiving state is maintained, and power flow randomness conflicts are eliminated.

The invention relates to the technical field of grid-connected control of a power system, and discloses an island detection and self-synchronizing grid-connected method for an offshore floating power generation device, which is used for solving the problem that transient oscillation is difficult to effectively suppress in a self-synchronizing grid-connected process after island detection in a traditional method. According to the method, firstly, voltage and frequency signals are collected at a grid-connected interface, and accurate island identification is achieved in combination with multi-cycle deviation judgment and a self-adaptive threshold value; a virtual synchronous machine mode is switched after the island is confirmed, and transient power fluctuation and phase difference are utilized to set damping and perform voltage closed-loop calibration, so that the device is converged to be aligned with the phase and voltage of the power grid; after an alignment condition is met, gradual power injection is adopted to complete grid connection, voltage, frequency and power balance is verified and monitored through a parameter period, and graded adjustment or back-off is carried out when necessary, so that transient oscillation and power impact are suppressed in the whole process from island detection to grid connection again and stable operation, and grid connection stability and adaptability are improved.

The invention discloses an AC / DC system load flow calculation method and device based on trajectory uniformity, and belongs to the technical field of power system calculation and analysis. The method comprises the following steps: inputting topological parameters of an AC / DC system, node power injection data and boundary constraints of variables; according to the topological parameters and node power injection data, an AC / DC system feasible power flow solution model containing voltage constraints is constructed, and the voltage constraints are converted into equality constraints through slack variables; constructing a QGS based on a feasible power flow solution model, wherein a stable equilibrium point of the QGS corresponds to a solution or a least square solution of a power flow equation; tracking a QGS system track by adopting a numerical integration method, and carrying out integration from an initial point until a convergence condition is met; and judging whether the QGS system converges to a feasible power flow solution or a least square solution according to an integral result, and outputting a corresponding result. According to the method, any initial point in the power flow solution neighborhood can be reliably converged to the power flow solution, and the robustness and practicability of power flow calculation are remarkably improved.

The invention discloses a micro-grid multi-objective optimization configuration method and system based on double-layer modeling, and relates to the technical field of micro-grid planning optimization, and the method comprises the following steps: obtaining equipment operation parameters, branch connection relations and typical daily multi-source power time sequence data of a micro-grid; constructing a first configuration space and constructing a configuration layer model according to the first configuration space; generating a physical topology based on the configuration layer model and performing time sequence simulation to obtain a power flow path reconstruction sequence; extracting loss time sequence distribution of each branch and constructing a loss migration feature set; constructing a branch loss fluctuation constraint based on the loss migration feature set, and feeding back the branch loss fluctuation constraint to the configuration layer model as a feasibility constraint to obtain a corrected configuration layer model; the optimal configuration scheme meeting the feasibility constraint is searched in the first configuration space by adopting the multi-objective optimization algorithm, so that the problem of frequent reconstruction of a power flow path caused by dynamic change of power injection of a distributed power supply and an energy storage device along with time in the operation process of the micro-grid is solved.

This application relates to the field of battery charging technology, and discloses a battery charging circuit, method, and apparatus. The battery charging circuit of this application includes: a data acquisition module, a power conversion module, and a control module. The data acquisition module is used to acquire battery operating parameters. The power conversion module receives a power signal at its input terminal and connects to the battery at its output terminal. When the control module detects that the operating temperature in the battery operating parameters is lower than a first preset temperature, it controls the power conversion module to output a pulse current signal to heat the battery to the first preset temperature. When the control module detects that the operating temperature is not lower than the first preset temperature and is lower than a second preset temperature, it controls the power conversion module to output a pulse current signal and a first constant current signal to charge and heat the battery. When the control module detects that the operating temperature is not lower than the second preset temperature, it controls the power conversion module to output a second constant current signal to charge the battery. This achieves coupled control of heating and charging, improving the synergy between thermal management and power injection.

The invention is suitable for the technical field of power-carbon collaboration, and provides a carbon allocation method and system for power-carbon collaboration, and the method comprises the following steps: abstracting a target power grid into a network model composed of nodes and branches, obtaining the active power injection data of each node, calculating node carbon flow intensity of each node according to the direct carbon emission of the power generation node; carrying out load flow calculation based on the network model and the active power injection data, determining the contribution proportion of each power generation node to the load flow of each branch, and calculating the conventional power utilization carbon emission of each load node; regarding the network loss of each branch as a virtual load, and calculating the total network loss carbon emission amount of each branch; and based on the combined action of a power generation side and a load side on branch power flow, tracing and sharing the total network loss carbon emission amount to a power generation node and a load node which cause the network loss according to a proportion. On the basis of responsibility distribution, the network loss carbon is distributed to the power generation party and the power utilization party in proportion at the same time, and the allocation result is more fair and reasonable.

The invention discloses a flywheel energy storage active phase modulation control method, system and device and a medium, and the method comprises the following steps: collecting multi-source power data of a power grid, and obtaining preprocessed phasor data; inputting the preprocessed phasor data into a first network model, and predicting a voltage phasor trajectory, a power angle trajectory and a frequency trajectory in a future preset time window; respectively carrying out corresponding evaluation and analysis, and outputting corresponding evaluation and analysis results; and respectively calculating an active power injection instruction in a power angle support mode, a reactive power injection instruction in a voltage phase correction mode or an anti-phase power injection instruction in an oscillation suppression mode according to an evaluation analysis result, and controlling the flywheel body to output power. According to the method, the power grid phasor trajectory is predicted, risks can be pre-judged and control measures can be actively taken before instability occurs, the defect of traditional afterward response is changed, passive is changed into active, and the timeliness and effectiveness of control are improved.

The application discloses a kind of based on Koopman and CEF model electric carbon collaborative scheduling method, system, medium and equipment, belong to electric power system optimization field, the method is: according to CEF model obtains the original expression of carbon intensity constraint;According to branch outflow power distribution matrix and diagonal matrix, reconstruct the original expression, obtain the nonlinear mapping relationship expression between node carbon emission intensity and node power injection, and according to low rank kernel approximation improved Koopman operator and node power injection dataset are processed, obtain linear mapping relationship expression;According to linear mapping relationship expression, construct electric carbon collaborative scheduling model, and based on electric power system current operation data, solve scheduling model, obtain scheduling optimization strategy;According to the strategy, regulate electric power system operation, complete electric carbon collaborative scheduling.Therefore, by implementing the present application, the problem of insufficient timeliness of electric power system in combination with carbon emission flow for electric carbon collaborative scheduling in the prior art can be solved.

The application discloses a main-distribution coordination power grid operation optimization method based on data analysis and belongs to the technical field of power grid operation control. The method collects the bus voltage on each side of a main grid transformer, tie line power, and the output of a distributed power source of a distribution grid, the state of charge of energy storage, and the interruptible capacity of a flexible load, and constructs a boundary power exchange characteristic vector of the main-distribution grid; according to the correlation degree of the characteristic vector and the over-limit risk of each node voltage of the distribution grid, a boundary coupling node set is screened, a virtual power injection equivalent device is arranged at the set, and the support capacity of the main grid to the distribution grid is quantified as an adjustable power interval of the boundary node; the adjustable power interval and the regulation dead zone of each distributed power source in the distribution grid are subjected to intersection operation to generate an initial feasible region of main-distribution coordination regulation and control; and the on-load voltage regulating switch position of the main grid transformer, the capacity of the capacitor bank, and the charging and discharging power of the energy storage of the distribution grid and the flexible load reduction amount are subjected to joint iterative optimization with the feasible region as a constraint, so that the regulation and control reliability is improved.

The present application belongs to the technical field of grid-forming converter control, in order to solve the problem that the existing control strategy is difficult to balance the transient stability and grid support capability, a hybrid synchronization control method and system considering transient stability and grid support are proposed, when the grid-forming converter is detected to have transient instability risk, a grid-following control branch based on a first-order phase-locked loop is introduced in parallel on the basis of the original grid-forming virtual synchronous machine control loop; in the initial stage of the fault, by adjusting the gain proportional coefficient, the equivalent active power reference value is reduced to zero, so as to block the active power injection and minimize the acceleration area; after a preset initial time period, by dynamic adjustment, the equivalent active power reference value tracks the current electromagnetic power in real time, while continuing to suppress the power angle oscillation, the grid support capability of the converter is effectively restored.

The invention provides a linear power flow calculation method and device of a power grid-AT traction network coupling system, and relates to the technical field of power system data processing. The sinusoidal quantity in the phase angle decoupling active injection formula is linearized through a sinusoidal quantity linearization formula, and the voltage amplitude-phase in the phase angle decoupling active injection formula is decoupled and the voltage amplitudes are decoupled through a voltage amplitude and phase decoupling formula; and decoupling the reactive power injection formula through a phase angle decoupling formula, a sinusoidal quantity linearization formula and a voltage amplitude and phase decoupling formula to obtain a linearly decoupled single-phase reactive power injection formula. The load flow calculation is carried out based on the linearly decoupled single-phase active injection formula and the linearly decoupled single-phase reactive injection formula, and the effect of improving the calculation efficiency can be achieved.

This application relates to a method, apparatus, device, storage medium, and program product for managing voltage fluctuations in a distribution network. The method includes: determining the reactive power compensation capacity of each compensation node based on a pre-established objective function of the distribution network system; the objective function aims to minimize voltage fluctuations and distribution network losses, and the compensation nodes are nodes in the distribution network system equipped with static var generators (SVAs); determining the required reactive power injection for each node in the distribution network system according to a preset voltage-power mapping matrix; determining the target state variables of each SVA in the distribution network system based on the reactive power compensation capacity of each compensation node and the required reactive power injection for each node; and correcting the voltage of each compensation node in the distribution network system based on the target state variables of each SVA, thereby managing voltage fluctuations in the distribution network system. Global optimization through the objective function, combined with local node adjustment using state variables, improves control response efficiency.

The invention discloses a long-process simulation method for a power grid containing new energy storage and a flexible load, and belongs to the technical field of digital simulation of a power system. The method comprises the following steps: configuring a built-in control logic module for a new energy, energy storage and flexible load simulation model in a power grid simulation model; during simulation operation, the control logic module obtains an electrical state quantity from a simulation environment in real time, generates a power adjustment instruction based on a preset rule and dynamically updates a power injection value of a simulation model, and forms a closed-loop feedback of state perception-decision-update-solution; and meanwhile, coordination and self-adaptive adjustment among the modules are supported. According to the invention, the simulation of the dynamic collaborative behavior of the source network load storage is realized in the simulation environment, so that the simulation process can reflect the response and interaction of equipment to the state of the power grid.

A power electronic arrangement for a reluctance machine, comprising: a first auxiliary converter operable to deliver a bias voltage during a first and third portion of an electrical cycle, the first auxiliary converter comprising: a first voltage source associated with a first phase winding; a second voltage source associated with a second phase winding; and a second auxiliary converter operable to deliver a bias voltage during a second and fourth portion of the electrical cycle, the second auxiliary converter comprising: a third voltage source associated with the second phase winding; and a fourth voltage source associated with a third phase winding, wherein, during the first and third portions of the electrical cycle, when a current in the first phase winding is larger than a current in the second phase winding, the first voltage source is configured to extract power from a circulating current loop and the second voltage source is configured to inject power into the circulating current loop, and when the current in the second phase winding is larger than the current in the first phase winding, the first voltage source is configured to inject power into the circulating current loop and the second voltage source is configured to extract power from the circulating current loop; and wherein, during the second and fourth portions of the electrical cycle, when a current in the second phase winding is larger than a current in the third phase winding, the third voltage source is configured to extract power from the circulating current loop and the fourth voltage source is configured to inject power into the circulating current loop, and when the current in the third phase winding is larger than the current in the second phase winding, the third voltage source is configured to inject power into the circulating current loop and the fourth voltage source is configured to extract power from the circulating current loop.

The present invention relates to a radio frequency device (2) configured to perform at least one radio frequency function, and the radio frequency device includes a metal structure (4) defining an internal volume, at least one power injection member (16) at an inlet of the metal structure (4) and at least one power extraction member (18) at an outlet of the metal structure (4), the at least one power injection member and the at least one power extraction member being arranged such that electromagnetic waves can propagate from the power injection member (16) toward the power extraction member (18), and at least a portion of the internal volume defined by the metal structure (4) is filled with a solid dielectric foam (24) with a relative permittivity of less than 1.5.

The invention relates to the technical field of power system automation and intelligent power grid control, and discloses a reactive voltage control limit value adaptive setting method considering new energy fluctuation. The method comprises the following steps: firstly, constructing a multi-node voltage and controllable new energy reactive power injection sequence, forming a joint state vector containing a voltage component and a reactive power component, and caching historical voltage; state transition is established element by element according to nodes, voltage short-time prediction and reactive short-time holding are executed, and data driving saturation suppression is introduced; setting an initial covariance based on the reference voltage deviation and the physical upper and lower bounds; constructing an observation model by taking the voltage as an observed quantity; prior prediction and covariance propagation are completed, and a gain is calculated and corrected according to the measurement error and the quantization step size to obtain a posterior state; voltage and reactive estimation are extracted, a sensitivity matrix is generated in combination with the target voltage and the recent change index, and a reactive adjustment vector is obtained; and performing boundary control to set the upper limit of each unit.

The application provides a primary and secondary fusion column circuit breaker protection adjustment method, comprising: collecting voltage phase data and current waveform data from three-phase positions of a bus in real time, obtaining photovoltaic grid-connected point output proportion and reactive power injection amplitude sequence during low voltage ride through, and reading current district photovoltaic penetration from a district configuration file; according to the voltage phase data and the reactive power injection amplitude sequence, correcting phase offset of each period according to the change rule that reverse power flow gradually increases with the increase of output during photovoltaic output climbing, calculating the initial discrimination range of the maximum sensitivity angle of the directional element; taking the corrected discrimination angle width as an effective window for phase comparison, comparing the current bus voltage phase with the reactive power injection amplitude, identifying the phase pullback phenomenon caused by low voltage ride through, and extracting the phase swing characteristics of the bus voltage.

The invention provides a power distribution network load flow calculation method and device based on adaptive initial value prediction and Jacobian matrix multiplexing, and relates to the technical field of power distribution networks. Multi-dimensional feature extraction is performed on power grid topological parameters, historical operation data, real-time power injection and the like by using a neural network model, a high-precision voltage initial value is generated through end-to-end training, and a traditional artificial experience setting mode is replaced; and designing a dynamic Jacobian matrix multiplexing strategy, and intelligently multiplexing the previous iteration Jacobian matrix when the voltage correction is smaller than a preset precision threshold, thereby reducing repeated matrix operation. According to the method, the problems of slow convergence, long time consumption of repeated calculation of the Jacobian matrix and the like caused by insufficient initial value precision of traditional load flow calculation are effectively solved, the load flow calculation speed of a large-scale power grid is remarkably improved, and efficient technical support is provided for real-time monitoring and online analysis of a power system.

The invention discloses a power system carbon emission flow calculation method and system, electronic equipment and a medium, and relates to the technical field of power system carbon emission flow calculation. The method comprises the following steps: calculating an extended incidence matrix according to active power transmitted by each branch, power injected to a corresponding node by an upstream node of each node and power injected to a generator set at each node; determining a unit power injection distribution matrix of the power generation side of the power system, the carbon emission intensity of each generator set and a unit injection carbon flow rate matrix according to the generator set injection power at each node; determining a system load distribution matrix according to the active power of the load at each node; and calculating the carbon emission flow of the power system according to the matrix, the active power flowing through the nodes, the carbon emission intensity and the active power flowing through each branch. According to the invention, the accuracy of the calculation result of the carbon emission flow of the power system can be improved.

The application provides a power transmission network-oriented safety evaluation method, device, equipment, medium and product. The method comprises the following steps: obtaining operation state data of a power system under different scenarios; obtaining a node active power injection vector, a node reactive power injection vector, node susceptance matrix elements and node admittance matrix in the operation state data to construct an input feature tensor; inputting the input feature tensor into a pre-trained deep convolutional neural network to obtain an alternating current power flow regression result and a safety state classification result; the powerful automatic feature extraction capability of deep learning replaces the heavy iterative solution process of a traditional alternating current power flow model, significantly improves the calculation efficiency and response speed of N-1 safety state evaluation, meets the real-time demand of online fine safety analysis of a power system, and greatly improves the engineering interpretability and reliability of the safety state evaluation result of artificial intelligence.

The application provides a power distribution network two-stage fault locating method and device based on synchronous phasor measurement, comprising the following steps: acquiring network topology before fault, voltage phasor measurement data before and after fault and three-phase active and reactive power injection pseudo measurement of all unbalanced nodes; constructing a virtual current fault locating model, enumerating each possible fault line, solving the fault locating model, obtaining a first matching index value, sorting all first matching index values in ascending order, selecting the first u lines to construct a candidate fault line set; performing nonlinear fault state estimation (SE) on all associated nodes of the candidate fault line in sequence, selecting the node with the highest matching degree as the fault line endpoint, and obtaining one endpoint of the fault line; and determining the fault line and the accurate fault position by using other hardware-based methods; the application can realize high fault locating accuracy under the condition of limited muPMU.

The application relates to the technical field of power grid safety guarantee and intelligent dispatching, and discloses a cross-regional photovoltaic intelligent dispatching system based on a VPN private network, which comprises the following: a VPN network state sensing module collects transmission time delay; a central dispatching node generates central control instructions with an attenuation factor in combination with the transmission time delay; when the transmission time delay is greater than a preset threshold, an edge coordination node extracts a self-excitation frequency deviation component caused by local power injection in combination with a sensitivity coefficient, deducts the component from an original frequency deviation to reconstruct a real background frequency deviation, generates a local gain compensation term and superimposes the local gain compensation term on the central control instructions to generate target control instructions; and an inverter control module adjusts photovoltaic output power accordingly; the application eliminates instruction phase misplacement caused by communication time delay, eliminates self-excitation frequency deviation interference caused by power injection, and improves power grid operation stability.

The invention discloses a reactive power balance method and system generated by mass alternating current power flow, and the method comprises the steps: calculating the active power distribution of each branch of a power grid based on direct current power flow, determining the reactive power loss of a node-associated branch and the reactive power injection of a node based on the active power distribution of each branch and the numerical value of node voltage, and calculating the reactive power balance of the node-associated branch. Obtaining an ideal reactive compensation total amount of each node; based on a reactive compensation optimization principle and the ideal reactive compensation total amount, performing reactive transfer on the reactive compensation capacity of the node, and determining the reactive compensation amount actually required to be configured by the node; and constructing a discrete sequence for the reactive compensation quantity actually configured by the node, and determining the final reactive compensation capacity of the node based on the discrete sequence. According to the method and the system for reactive power balance generated by the massive alternating current power flow, reactive power in-situ balance is realized, and a reactive power compensation configuration scheme of the whole network is formed.

This invention relates to the field of grid-connected inverter control technology, and more particularly to a robust control method for inverters operating in extremely weak grids that is compatible with next-generation power semiconductors. The technical solution includes the following steps: acquiring the three-phase current of the inverter bridge arm inductor and the three-phase voltage of the filter capacitor at the grid connection point PCC; performing coordinate transformation and phase-locked loop processing on the three-phase voltage to obtain the phase angle of the grid-side capacitor voltage. This invention introduces a voltage-supported robust controller designed based on the μ-synthesis method, and combines it with an AC voltage controller to form a dual-path adaptive switching architecture. Without altering the standard vector control core, it effectively suppresses system instability and insufficient voltage support caused by grid-side impedance uncertainty under extremely weak grid conditions, achieving stable operation and rated power injection of the inverter within a wide SCR range. It balances rapid dynamic response under weak grid conditions with high robust stability under extremely weak grid conditions, significantly improving the system's disturbance rejection capability.