A new energy grid-connection robustness margin improvement method, system and medium

Abstract

The present application relates to the field of new energy grid-connected control technology, and more particularly to a new energy grid-connected robust margin improvement method, system and medium, the method comprising: obtaining first operation information, uncertainty information and operation constraints, and generating a candidate working condition set; determining the stability margin of each candidate working condition, and determining the stable boundary support working condition set and the margin deficiency information; determining the executable stability regulation ability according to the operation constraints, and determining the target control channel and the stability margin improvable; generating a control instruction according to the stability margin improvable, and applying it to the new energy grid-connected system; obtaining second operation information, determining the post-execution stability margin, and checking the execution effect to update the candidate working condition set and the executable stability regulation ability. Through the present application, the problem that the new energy grid-connected system is difficult to determine whether the existing control ability can improve the robust stability margin to the safety requirement under the multi-source uncertainty and actual operation constraints and implement reliable stability control accordingly is effectively solved.

Description

Technical Field

[0001] This invention relates to the field of new energy grid connection control technology, and in particular to a method, system and medium for improving the robustness margin of new energy grid connection. Background Technology

[0002] The stability margin of a renewable energy grid-connected system is used to characterize the distance between the system's operating state and the critical instability boundary. Affected by changes in grid strength, operating conditions, equipment capacity, and control constraints, its stability boundary may continuously drift. In existing technologies, CN121417259A determines and adjusts the dominant control parameters of the SVG (Static Var Generator) through multi-condition stability margin and impedance sensitivity, while CN113725910A identifies interactive modes and locates vulnerable units through quantified stability margin.

[0003] However, existing technologies are usually geared towards a single critical condition or specific equipment parameters. They are difficult to combine the insufficient margin of multiple boundary support conditions and the executable stabilization capability of each control channel under actual operating constraints to determine whether the current control resources can reliably improve the system stability margin to the safety requirements. They also lack the same source verification and feedback update mechanism after control implementation. Therefore, it is difficult to transform stability risk assessment into executable and verifiable adaptive stabilization control.

[0004] The information disclosed in this background section is intended only to enhance the understanding of the general background of this disclosure and should not be construed as an admission or in any way implying that the information constitutes prior art known to those skilled in the art. Summary of the Invention

[0005] This invention provides a method, system, and medium for improving the robustness margin of new energy grid connection, which can effectively solve the problems in the background art.

[0006] To achieve the above objectives, the technical solution adopted by the present invention is as follows: A method for improving the robustness margin of new energy grid connection, the method comprising: Acquire the first operating information, uncertainty information, adjustable control channels and operating constraints of the new energy grid-connected system, and generate a candidate operating condition set based on the first operating information and the uncertainty information; Determine the stability margin of each candidate working condition in the candidate working condition set, and determine the set of stable boundary support working conditions that support the robust stability boundary and the corresponding margin deficiency information based on the stability margin. The executable stabilization adjustment capability of each adjustable control channel for the set of stable boundary support conditions is determined based on the operating constraints, and the target control channel and the stability margin improvement capability are determined based on the margin deficiency information and the executable stabilization adjustment capability. Based on the stability margin scalability, a control command corresponding to the target control channel is generated, and the control command is applied to the new energy grid-connected system; The system acquires second operating information after applying the control command, determines the post-execution stability margin based on the second operating information, and verifies the execution effect of the control command based on the post-execution stability margin, so as to update the candidate operating condition set and the executable stabilization adjustment capability.

[0007] Furthermore, a candidate set of operating conditions is generated, including: The candidate operating condition set is generated based on the historical operating samples, online identification results, model residuals, and network topology status corresponding to the uncertainty information. The weight of each candidate operating condition is determined based on its occurrence frequency, identification reliability, stability risk level, or number of times a safe state recovery is triggered.

[0008] Furthermore, the set of stability boundary support cases and corresponding margin insufficiency information are determined, including: The robust stability risk margin is determined based on the minimum or quantile value of the stability margin among the candidate operating conditions. Candidate operating conditions whose stability margin is within a preset neighborhood of the robust stability risk margin are determined as the stability boundary support operating condition set. The insufficient stability margin for each stability boundary support condition is determined based on the difference between the preset safety margin and the stability margin for each stability boundary support condition, and the insufficient margin information is generated based on each insufficient stability margin.

[0009] Furthermore, the executable stabilizing adjustment capability is determined, including: The set of executable adjustments corresponding to each adjustable control channel is determined based on the adjustable direction, adjustment range, rate of change, and equipment operating status of each adjustable control channel; Determine the positive stability margin improvement that each adjustable control channel can generate for each stability boundary support condition within the corresponding set of executable adjustments; An executable stabilization adjustment capability matrix is ​​formed based on the positive stability margin improvement amount of each adjustable control channel to characterize the stability margin improvement capability of the stability boundary support condition set, and the executable stabilization adjustment capability matrix is ​​used as the executable stabilization adjustment capability.

[0010] Furthermore, the target control channel and stability margin can be improved, including: Based on the margin deficiency information and the executable stabilization adjustment capability corresponding to each adjustable control channel, the stabilization contribution of each adjustable control channel is determined. At least one target control channel is determined based on each of the aforementioned stabilization contributions, and the stability margin upliftability is determined based on the synthetic stabilization adjustment capability of the target control channel for the set of stable boundary support conditions.

[0011] Furthermore, the stability margin can be improved, including: The operational margin confidence deduction is determined based on model residuals, measurement noise, communication delay, equipment limiting status, and historical execution deviations. The upper bound of the stability margin can be increased by determining the stability margin based on the stability margin of the stability boundary support condition set, the executable stabilization adjustment capability of the target control channel, and the operating margin confidence deduction. The stability margin upliftability is determined based on the comparison between the upper bound of the stability margin and the preset safety margin.

[0012] Furthermore, control instructions are generated based on the stability margin upliftability, including: When the stability margin upliftability indicates that the target control channel can enable the stability boundary support case set to reach the preset safety margin, the safety constraint optimization model is solved using the control quantity corresponding to the target control channel as the decision variable to generate a stabilizing control command. When the stability margin scalability indicates that the target control channel cannot enable the stability boundary support case set to reach the preset safety margin, the safety constraint optimization model is infeasible, or the solution times out, a conservative safety control command is generated to move the new energy grid-connected system away from the robust stability boundary.

[0013] Furthermore, verify the execution effect of the control commands, including: The same stability margin determination method as before the application of the control command is used to determine the post-execution stability margin based on the second operating information; When the stability margin reaches the preset safety margin after execution and the operating constraints are satisfied, the current control state is recorded as a safe and feasible control state. If the stability margin after execution does not reach the preset safety margin or the operating constraints are not met, the new energy grid-connected system will be restored to the recorded safe and feasible control state. Based on the stability margin deviation before and after the application of the control command, the second operating information, the control command and the corresponding uncertainty information, a verification failure sample is generated, and the candidate operating condition set, the stability boundary support operating condition set and the executable stabilization adjustment capability are updated based on the verification failure sample.

[0014] A robust margin enhancement system for new energy grid connection, the system comprising: The operating condition construction module acquires the first operating information, uncertainty information, adjustable control channels and operating constraints of the new energy grid-connected system, and generates a candidate operating condition set based on the first operating information and uncertainty information; The boundary margin identification module determines the stability margin of each candidate working condition in the candidate working condition set, and determines the set of stable boundary support working conditions that support the robust stable boundary and the corresponding margin deficiency information based on the stability margin. The stabilization capability discrimination module determines the executable stabilization adjustment capability of each adjustable control channel for the stability boundary support condition set based on the operating constraints, and determines the target control channel and the stability margin improvement capability based on the margin deficiency information and the executable stabilization adjustment capability. The control command generation module generates control commands corresponding to the target control channel based on the stability margin scalability, and applies the control commands to the new energy grid-connected system; The verification and update module is executed to obtain the second operating information after the control command is applied. The stability margin after execution is determined based on the second operating information, and the execution effect of the control command is verified based on the stability margin after execution, so as to update the candidate operating condition set and the executable stabilization adjustment capability.

[0015] A computer-readable storage medium stores a computer program, the computer program including program instructions, which, when executed by a processor, can implement the method for improving the robustness margin of new energy grid connection.

[0016] The technical solution of this invention can achieve the following technical effects: By constructing a set of candidate operating conditions with uncertainties and identifying the supporting operating conditions and their insufficient margins at the stability boundary, and by evaluating the executable stabilization capability of each control channel in conjunction with operational constraints to determine the scalability of the stability margin, control commands are generated and implemented accordingly. The candidate operating condition set and stabilization capability are then updated using the stability margin verification results after execution, forming an adaptive closed-loop control. This effectively solves the problem that new energy grid-connected systems find it difficult to determine whether the existing control capabilities can improve the robust stability margin to the safety requirements and implement reliable stabilization control under multi-source uncertainties and actual operational constraints.

[0017] The above description is only an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, the following are specific embodiments of this application. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 A flowchart illustrating the method for improving the robustness margin of new energy grid connection; Figure 2 This is a schematic diagram of the structure of a new energy grid-connected system; Figure 3 A schematic diagram of the stable boundary support condition set and the executable stabilization adjustment capability matrix. Detailed Implementation

[0020] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments.

[0021] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains. The terminology used in this specification is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. The term "and / or" as used herein includes any and all combinations of one or more of the associated listed items.

[0022] Example 1;

[0023] like Figure 1 As shown, this application provides a method for improving the robustness margin of new energy grid connection, the method including: S10: Obtain the first operating information, uncertainty information, adjustable control channels and operating constraints of the new energy grid-connected system, and generate a candidate operating condition set based on the first operating information and uncertainty information; S20: Determine the stability margin of each candidate working condition in the candidate working condition set, and determine the set of stable boundary support working conditions that support the robust stable boundary and the corresponding margin deficiency information based on the stability margin. S30: Determine the executable stabilization adjustment capability of each adjustable control channel for the stability boundary support condition set based on the operating constraints, and determine the target control channel and the stability margin improvement capability based on the margin deficiency information and the executable stabilization adjustment capability; S40: Generate control commands corresponding to the target control channel based on the stability margin upgradability, and apply the control commands to the new energy grid-connected system; S50: Obtain the second operating information after the control command is applied, determine the stability margin after execution based on the second operating information, and verify the execution effect of the control command based on the stability margin after execution, so as to update the candidate operating condition set and the executable stabilization adjustment capability.

[0024] Specifically, such as Figure 2 As shown, this embodiment is applied to a new energy grid-connected system that includes wind power units, photovoltaic units, energy storage units, grid-connected converters, energy storage converters, reactive power compensation devices, a collection bus, a step-up transformer, a common coupling point, and a site coordination controller. The wind power units, photovoltaic units, and energy storage units are connected to the collection bus via countercurrent converters, and the collection bus is connected to the AC grid via a step-up transformer and a common coupling point. The site coordination controller is responsible for collecting operating data, analyzing stability margins, generating control commands, and verifying execution effects. The candidate operating condition set is a set of operating conditions formed by the current operating state and different uncertainty values, used to characterize the possible operating states of the new energy grid-connected system; the stability boundary support operating condition set is a group of candidate operating conditions whose stability margin is close to the robust stability boundary and jointly determine the current robust stability risk; margin deficiency information is used to characterize the degree of inadequacy of the stability margin of each stability boundary support operating condition relative to the safety margin requirement; executable stabilization adjustment capability is the positive stability margin improvement capability that adjustable control channels can generate within the current operating constraints; target control channels are one or more adjustable control channels that are preferentially used to compensate for margin deficiency; stability margin scalability is the judgment result of whether the currently available control resources can make the stability boundary support operating conditions reach the safety margin requirement within the operating constraints; At the beginning of each control cycle, the site coordination controller acquires the first operational information, which includes the voltage, current, frequency, active power, reactive power, DC bus voltage, energy storage state of charge, converter control status, equipment limiting status, and network topology status. The site coordination controller also acquires uncertainty information, which includes the grid equivalent impedance, short-circuit capacity, new energy output fluctuations, load disturbances, model residuals, measurement noise, communication delays, and equipment parameter deviations. The adjustable control channel includes phase-locked loop parameters, current loop parameters, voltage loop parameters, virtual impedance parameters, droop parameters, active power command, reactive power command, and energy storage power command; the operating constraints are determined based on the allowable range of control parameters, the rate of change of control quantities, the rated capacity of the equipment, the power ramping capability, the state of charge of energy storage, the available power of energy storage, the limiting status of the equipment, and the grid connection operation requirements. The station coordination controller uses primary operational information to characterize the current basic operational status. It combines different grid impedances, short-circuit capacity, renewable energy output, load levels, energy storage availability, model residuals, measurement noise, communication delays, and network topology status with the basic operational status to generate a candidate operating condition set. The candidate operating conditions can be derived from historical operational data, online identification results, equipment parameter tolerances, power prediction results, topology switching status, and digital simulation results. For communication delays, state dimension expansion, discrete-time processing, approximate modeling, or predictive compensation methods can be used to incorporate them into the stability analysis process. For each candidate operating condition in the candidate operating condition set, the station coordination controller establishes a closed-loop equivalent model including the AC network, step-up transformer, grid-connected converter control loop, grid construction control loop, power control loop, energy storage control loop, and limiting loop, and performs linearization processing at the current operating point. In this embodiment, the stability margin is determined based on the distance between the maximum real part of the closed-loop eigenvalue and the critical stability boundary. A positive stability margin indicates that the candidate operating condition is in the stable region, a zero stability margin indicates that the candidate operating condition is at the critical stability boundary, and a negative stability margin indicates that the candidate operating condition has crossed the critical stability boundary. The stability margin can also be determined using the minimum damping ratio, impedance margin, Nyquist margin, or generalized short-circuit ratio margin. The station coordination controller determines the minimum stability margin from the stability margins of all candidate operating conditions and sets a stability boundary neighborhood threshold. Candidate operating conditions whose difference between the stability margin and the minimum stability margin does not exceed the stability boundary neighborhood threshold are selected into the stability boundary support operating condition set. Using multiple candidate operating conditions close to the minimum stability margin to jointly characterize the robust stability boundary can avoid the sudden change of control target caused by operating condition switching when only a single worst operating condition is used. The station coordination controller sets a safety margin and compares the stability margin with the safety margin for each stability boundary support condition. When the stability margin is lower than the safety margin, the difference between the two is determined as the insufficient stability margin for the corresponding stability boundary support condition. When the stability margin reaches the safety margin, the insufficient stability margin is determined to be zero. The insufficient stability margins of each stability boundary support condition together form the margin insufficiency information. For each adjustable control channel, the site coordination controller determines the executable adjustment range based on the adjustment direction, allowable adjustment range, parameter boundaries, rate of change, equipment limiting status, energy storage state of charge, available energy storage power, and communication delay. Within the executable adjustment range, the corresponding control parameters or power commands are changed, and the stability margin of each stability boundary support condition before and after the change is calculated. This determines the maximum stability margin improvement that the adjustable control channel can generate for each stability boundary support condition. When the increase in stability margin is greater than zero, it is considered as the effective stabilization adjustment capability of the corresponding adjustable control channel for the corresponding stability boundary support condition; when the increase in stability margin is not greater than zero, the corresponding control channel is not included in the effective stabilization resource of the stability boundary support condition; through the above processing, control channels with high sensitivity but currently cannot be adjusted, have the wrong adjustment direction, or are limited by equipment capacity and cannot actually increase stability margin can be excluded. Based on the margin deficiency information and the executable stabilization adjustment capability of each adjustable control channel, the station coordination controller determines the range of stability margin deficiency that each adjustable control channel can compensate for, and calculates the stabilization contribution accordingly. The higher the stabilization contribution, the more stable boundary support conditions the corresponding adjustable control channel can improve or compensate for greater margin deficiency within the current operating constraints. One or more adjustable control channels are selected as target control channels according to the stabilization contribution from high to low. The station coordination controller comprehensively assesses the executable stability adjustment capability of the target control channel and conservatively deducts margin overestimations caused by model errors, measurement noise, communication delays, equipment limiting, and historical execution deviations. This determines the upper limit of the stability margin that the target control channel can achieve within the current control cycle. If the upper limit of the stability margin meets the safety margin, the stability margin is deemed to be achievable; if the upper limit of the stability margin does not meet the safety margin, the current online control resources are deemed insufficient to eliminate stability risks. When the stability margin is salient, the station coordination controller uses the adjustment amount of the target control channel as the control variable to be determined, and generates a control scheme to reduce the insufficient support margin of each stability boundary condition. The control scheme also limits the variation range of the control variable and meets the requirements of grid connection point voltage, bus voltage, converter current, line current, equipment thermal stability, power ramp-up, control parameter range and parameter change rate. When the stability margin is not salient, the control scheme does not have a feasible result, or the control scheme fails to be generated within the specified time, the station coordination controller will no longer apply aggressive adjustment commands. Instead, it will generate commands such as active power derating, reactive power voltage support priority, energy storage active power support, grid support mode activation, mode limiting, or safety state restoration, so that the new energy grid-connected system will stop approaching the robust stability boundary. The station coordination controller converts the generated control commands into control parameter adjustment amounts and power control commands that can be recognized by grid-connected converters, energy storage converters, reactive power compensation devices, or station control equipment. After the control commands are processed by speed limiting, smoothing, and equipment boundary projection, they are applied to the corresponding equipment to avoid new oscillations or equipment exceeding limits caused by sudden changes in control quantities. After the control command is applied, the station coordination controller re-collects voltage, current, frequency, power, energy storage status, equipment limiting status, and network topology status to form second operating information; using the same candidate operating condition construction method and stability margin determination method as before the control command is applied, the stability margin after execution is determined based on the second operating information; If the stability margin reaches the safety margin and all operational constraints are met after execution, the current control state is retained and recorded as a safe and feasible control state. If the stability margin does not reach the safety margin or any operational constraint is not met after execution, a historical safe and feasible control state that is compatible with the current network topology, close in time, and meets the safety margin and device constraints is selected, and the system is restored to that state through rate limiting and smoothing. When insufficient stability margin after execution, equipment constraints exceeding limits, deviation between actual and predicted stability margins exceeding the allowable range, or triggering a safety state recovery occurs, the site coordination controller combines the second operating information, control commands, model residuals, network topology status, and corresponding uncertainty information to form a verification failure sample. The verification failure sample is added to the candidate operating condition set and used to increase the weight of adjacent candidate operating conditions, redetermine the stability boundary support operating condition set, and correct the executable stabilization adjustment capability, so that the next control cycle can absorb the actual execution results of this control cycle.

[0025] The technical solution of this invention constructs a set of candidate operating conditions for uncertainty and identifies the support conditions for stability boundaries and their insufficient margins. It combines operational constraints to evaluate the executable stabilization capability of each control channel to determine the scalability of the stability margin. Based on this, control commands are generated and implemented. The candidate operating condition set and stabilization capability are then updated using the stability margin verification results after execution, forming an adaptive closed-loop control. This effectively solves the problem that new energy grid-connected systems are unable to determine whether the existing control capabilities can improve the robust stability margin to the safety requirements and implement reliable stabilization control under multi-source uncertainties and actual operational constraints.

[0026] Furthermore, generating a candidate set of operating conditions includes: A candidate operating condition set is generated based on the historical operating samples, online identification results, model residuals, and network topology status corresponding to the uncertainty information. The weight of each candidate operating condition is determined based on its occurrence frequency, identification reliability, stability risk level, or number of times a safe state recovery is triggered.

[0027] As a preferred embodiment of the above, at the current control cycle time The system collects data on the common coupling point voltage, current, active power, reactive power, system frequency, grid-connected converter control status, energy storage charging and discharging status, DC bus voltage, energy storage state of charge, equipment limiting status, and network topology status to form an operating state vector. ,in This indicates that the new energy grid-connected system is at any time A collection of electrical quantities, control states, and equipment states; Collect or identify the equivalent impedance of the power grid, short-circuit capacity, power output fluctuations of new energy sources, load disturbances, model residuals, measurement noise, communication delay, equipment parameter deviations, and topology changes to form an uncertainty vector. ,in This represents the multi-source uncertainty affecting the stability boundary; The adjustable parameters from the phase-locked loop parameters, current loop parameters, voltage loop parameters, power loop parameters, virtual impedance parameters, droop parameters, active power command, reactive power command, energy storage power command, and support mode parameters are used to form an adjustable control channel vector. ,in This indicates the control quantity that can be adjusted by the station coordination controller, grid-connected converter, energy storage converter, or reactive power compensation device; A set of operational constraints is generated based on equipment ratings, grid connection specifications, controller allowable range, parameter change rate, power ramp rate, equipment limiting status, and energy storage availability. ,in Indicates at time Permissible range of control adjustments; Establish a closed-loop equivalent model for the grid-connected system: ; in Represents the running state vector The derivative with respect to time, It represents the state function that includes the AC network, step-up transformer, grid-connected converter, phase-locked loop, current loop, voltage loop, grid control link, power control link, energy storage control link, limiting link, and station coordination control link; A candidate set of uncertain operating conditions is generated based on historical disturbance samples, online identification errors, model residuals, equipment tolerances, measurement noise, communication delays, and topology conditions. ; in Indicates time The set of candidate uncertainty conditions Indicates the first One candidate working condition Indicates the first The weight of each candidate working condition The number of candidate operating conditions is represented; for communication delay, Padé approximation, discrete time enhancement, state dimension expansion, or prediction compensation methods are adopted and incorporated into the closed-loop equivalent model.

[0028] Furthermore, determining the set of stability boundary support cases and corresponding margin insufficiency information includes: The robust stability risk margin is determined based on the minimum or quantile value of the stability margin among the candidate operating conditions. Candidate working conditions whose stability margin is within a preset neighborhood of the robust stability risk margin are identified as the set of stability boundary support working conditions. The insufficient stability margin for each stability boundary support condition is determined based on the difference between the preset safety margin and the stability margin of each stability boundary support condition, and insufficient margin information is generated based on each insufficient stability margin.

[0029] As a preferred embodiment of the above embodiments, the candidate uncertainty set The first in Candidate working conditions The closed-loop feature matrix is ​​obtained based on the closed-loop equivalent model: ; in Indicating in candidate working conditions and adjustable control channel vector The closed-loop linearization matrix under the given conditions; Calculate the stability margin of candidate operating conditions When using the real part index of eigenvalues: ; in Indicates the first The margin of each candidate operating condition relative to the critical stability boundary. Represents the closed-loop characteristic matrix The set of eigenvalues Representing characteristic roots, Representing characteristic roots The real part; when Time indicates the first Each candidate operating condition has a small disturbance stability margin, when When the critical stability boundary is reached, This indicates that the critical stability boundary has been crossed; Calculate robust stability risk margin Alternatively, the quantile robust stability risk margin can be calculated based on the weights of candidate operating conditions. ,in This represents the minimum stability margin within the set of candidate uncertainties. Indicates according to the preset quantile A defined stability margin; According to the threshold Extract the set of stable boundary support load cases: ; in This represents a set of low-margin candidate operating conditions that support the robust stability risk margin. This represents the threshold of the neighborhood of the stability boundary; or it extracts candidate working conditions with stability margin in the preset low quantile interval as the set of supporting working conditions for the stability boundary. The set extracted based on the threshold is denoted as the initial support set for the current period. Further set the entry threshold and exit threshold ,in A forced maintenance set is formed based on the overlap of the support sets in the preceding and following periods, the worst-case switching state, and the continuity of the margin gradient direction. And will check the local uncertainty neighborhood of the samples that failed the verification. Incorporate into the activity set of the next cycle; the support conditions of the previous cycle are only included in the continuous cycle. If the holding condition is not met in a control cycle, the control will be moved out, forming an active support condition cluster. To suppress repeated control caused by short-term alternation of critical operating conditions; For the set of stable boundary support conditions Insufficient stability margin in candidate operating conditions calculations: ; And form a stability margin insufficient vector ,in Indicates the first The insufficiency of a stability boundary support condition relative to the lower limit of the safety margin. Indicates by each The vector formed This indicates the lower limit of the safety margin determined by grid connection regulations, minimum damping margin, equipment voltage and current limits, and engineering safety factors.

[0030] Furthermore, such as Figure 3 As shown, the executable stabilizing adjustment capability is determined, including: The set of executable adjustments corresponding to each adjustable control channel is determined based on the adjustable direction, adjustment range, rate of change, and equipment operating status of each adjustable control channel; Determine the positive stability margin improvement that each adjustable control channel can generate for each stability boundary support condition within the corresponding executable adjustment set; An executable stabilization adjustment capability matrix is ​​formed based on each positive stability margin increase, representing the ability of each adjustable control channel to increase the stability margin of the stability boundary support condition set, and the executable stabilization adjustment capability matrix is ​​used as the executable stabilization adjustment capability.

[0031] As a preferred embodiment of the above, for the adjustable control channel vector The first in One adjustable control channel Generate the set of executable adjustments for the current control cycle: ; in Indicates the first The set of adjustment amounts that can be applied by each adjustable control channel in the current control cycle. Indicates the first The adjustment amount of each adjustable control channel. Indicates the first The allowable range of each adjustable control channel. Indicates the length of the control cycle. Indicates the first The upper limit of the rate of change for each adjustable control channel. This represents the operating state vector of the renewable energy grid-connected system in the current control cycle. This represents the adjustable control channel vector of a new energy grid-connected system. Represents voltage, current, power, thermal stability, and grid connection regulation constraint functions. The constraint function representing the state of charge and available power of energy storage; Calculate the executable stabilization capability matrix ,in This represents the margin enhancement capability matrix for all adjustable control channels to support the stability boundary load case set. Indicates the first The adjustable control channel, within the currently executable adjustment set, adjusts the... The maximum stability margin improvement that can be generated by a stable boundary support condition, and: ; Alternatively, a locally linearized form can be used: ; in Indicates stability margin For the The gradient of an adjustable control channel; when When the minimum margin function is determined and non-smooth switching exists, finite difference, adjoint gradient, subgradient, smooth minimum function, or weighted sensitivity calculations are used for each load case within the stable boundary support load case set. ; For the candidate channel set Establish a joint executable set that satisfies the executable adjustment set of each channel as well as the constraints of voltage, current, thermal stability, power, ramping, and energy storage. Through interactive items: ; in, For the first The adjustable control channel and the first The adjustable control channel in the first The interaction term under the stable boundary support condition is used to characterize the additional stability margin change when the two control channels are adjusted simultaneously, relative to the independent adjustment of the two control channels. This indicates that the two control channels have a cooperative gain. This indicates that the two control channels cancel each other out or conflict. A value close to 0 indicates that the combined regulatory effect of the two control channels is approximately additive; In the first Under stable boundary support conditions, when the control channel vector is The corresponding stability margin; In order to be with the first The unit direction vector corresponding to the adjustable control channel is used to select the first adjustable control channel from the complete control channel vector. One control channel; similarly In order to be with the first Unit direction vector corresponding to each adjustable control channel; For the first The actual adjustment amount of each adjustable control channel; For the first The actual adjustment amount of each adjustable control channel; For the first The and the first The increment of the joint control channel is formed by the simultaneous adjustment of one adjustable control channel; Indicates the first The and the first After each adjustable control channel is adjusted simultaneously according to the corresponding actual adjustment amount, the first... The stability margin corresponding to the stability boundary support condition; Indicates only the first When the first adjustable control channel is used, the first The stability margin increment corresponding to each stable boundary support condition is further defined as follows: ; Indicates only the first When the first adjustable control channel is used, the first The stability margin increment corresponding to each stable boundary support condition, i.e. ; Calculate the channel through interactive items , Support working conditions The collaboration or conflict under the conditions, and the channel interaction tensor formed by each interaction item. ;exist Internally, find the same joint adjustment that maximizes the minimum margin increase across all support conditions. Then, the joint stabilization capability of each support condition is calculated based on this. It is used for channel combination selection and joint reachability determination.

[0032] Furthermore, determining the target control channel and the potential for improvement in stability margin includes: Based on the margin deficiency information and the executable stabilization adjustment capability corresponding to each adjustable control channel, the stabilization contribution of each adjustable control channel is determined. At least one target control channel is determined based on each stabilization contribution, and the stability margin upliftability is determined based on the synthetic stabilization adjustment capability of the target control channel on the stability boundary support condition set.

[0033] As a preferred embodiment of the above, based on the stability margin insufficient vector and executable stabilization adjustment capability matrix Calculate the first The stabilization contribution of each adjustable control channel: ; in Indicates the first The contribution of each adjustable control channel to improving stability margin in the current control cycle. This indicates a positive number to prevent the denominator from being zero; according to Select the main stable channel set from largest to smallest. Alternatively, several adjustable control channels can be selected to form a system whose cumulative stabilization contribution reaches a preset threshold. Contribution to Stability Used only for forming candidate channel pools Ultimately, this leads to a stable channel set consisting of a subset of candidate channels. As the decision-making object, the remaining insufficient amount for each support condition after the same joint adjustment is applied. Minimize the weighted maximum surplus deficit, the number of input channels, and the channel conflict penalty to obtain After each channel is added, the joint regulation and joint stabilization capabilities are recalculated, and the final channel combination is not directly used as the result of ranking based on the contribution of individual channels.

[0034] Furthermore, determining the upgradability of the stability margin includes: The operational margin confidence deduction is determined based on model residuals, measurement noise, communication delay, equipment limiting status, and historical execution deviations. Determining the stability margin based on the stability margin of the stability boundary support case set, the executable stabilization adjustment capability of the target control channel, and the operational margin confidence deduction can raise the upper bound; The stability margin upliftability is determined by comparing the upper bound of the stability margin upliftability with the preset safety margin.

[0035] As a preferred embodiment of the above, the operating margin confidence deduction is calculated as follows: ; in This represents a conservative deduction to offset model errors and execution uncertainties. Represents the model residuals. This represents the estimated value of the measured noise. Indicates communication delay. This indicates the degree to which the controller is saturated or close to being limited. Indicates historical performance margin deviation. , , , and These represent the weight coefficients of the corresponding terms; the above As the first Basic operating margin confidence deduction for each control cycle For candidate channel set , No. Each support working condition adopts Differential deductions are applied, among which Indicates the first Each control cycle, using a set of candidate control channels At that time, regarding the first The confidence deduction of the operating margin related to the operating condition determined by the stability boundary support condition; This represents the tightening factor of the deviation statistic on the confidence deduction of the operating margin, used to adjust the degree of influence of historical execution deviations on the confidence deduction. Indicates the first In the first control cycle, the first The control channel is for the first The execution deviation statistics for each stable boundary support condition are updated online based on the deviation between the predicted stability margin after control execution and the reconstructed stability margin calibrated by actual measurement; and are... Correction Channel For working conditions The stabilizing capability can be factored in, among which, This indicates that after adjustments for consistency and historical deviations, the [number]th [unit / item]... The control channel is for the first The stabilization capability that can be included in the stability boundary support condition; Indicates the first The control channel is for the first The execution consistency coefficient of a stable boundary support condition is used to characterize the degree of consistency between the actual execution effect and the model prediction effect of the control channel; it can be recursively updated based on the relationship between the actual stability margin improvement and the predicted stability margin improvement after execution, combined with the channel attribution results. This represents the first prediction obtained from the current closed-loop model. The control channel is for the first The stability boundary support condition's stabilization and adjustment capability, i.e., the model's predictive capability without execution consistency and historical execution deviation correction; This represents the tightening factor that accounts for the performance deviation and is used to control the stability capability. The degree of reduction in the model's predictive stabilization capability; This indicates a non-negative truncation operation, used to ensure that the corrected stabilization capability is not less than zero; when the execution result shows that a channel cannot actually produce a positive stabilization effect, it is not counted as an effective stabilization resource; the updated version is used for the candidate channel pool, group coverage, joint reachability discrimination, and safety action selection. and corresponding or , Indicates the first Each control cycle employs candidate safety actions. At that time, regarding the first The confidence deduction of the operating margin related to the operating condition determined by the stability boundary support condition; The operating margin confidence deduction is calibrated online, differentiated by support condition and control channel; This represents the basic deduction amount formed by model residuals, measurement noise, communication delay, and equipment saturation; after control execution, the closed-loop model is calibrated using post-execution measurements, and the first... Deviation between prediction margin and calibration reconstruction margin for each supporting operating condition Use marginal attribution coefficients. The deviation is allocated to each control channel actually in operation, and the deviation statistics corresponding to the channel and the operating condition are updated recursively: ; For the candidate channel set , No. The confidence deduction for each supporting working condition and the first The correction capabilities of each channel are as follows: ; ; in, , and Indicates the deviation tightening coefficient. , Unexecuted channels remain in the previous cycle. and The next cycle will begin with... Calculate the stabilization contribution and candidate channel pool, and use the corresponding values ​​in candidate combinations, joint reachability determination, and safety action selection. or ; The set of main stabilizing channels is determined based on the aforementioned steps. To improve online computation efficiency and avoid simply combining the single-channel stabilization capabilities calculated separately from multiple control channels and directly using them for stability margin upliftability determination, a candidate set fast estimator is first calculated based on the main stabilizing channel set. : ; in This represents a fast estimator of the stability margin corresponding to a combination of candidate control channels; a fast estimator of the candidate set. The initial values ​​used for candidate control channel combination sorting and subsequent joint solution generation are not directly used as the basis for determining whether the current control cycle enters the stabilization optimization branch. Since the optimal regulation amount corresponding to the stabilization regulation capability calculated by different control channels may be different, and multiple control channels are also subject to joint constraints such as voltage, current, thermal stability, power, power ramp, energy storage and equipment operating boundaries when they act simultaneously, the above single-channel stabilization capability synthesis result is not directly used as the actual achievable stability margin after multiple control channels act together.

[0036] Furthermore, for the finally determined set of main stable channels... Establish an executable set of adjustments that satisfy each main stable channel, as well as a joint executable set of voltage, current, thermal stability, power, power ramp, energy storage, and other safe operation constraints. and in the joint executable set Internal calculation of joint maximum and minimum reachability margin discriminant values: ; in, This represents the joint maximum and minimum reachability margin discriminant value of the current master-initiated stable channel set under the current operating constraints; Indicates the set of stable channels caused by the main principle. The corresponding joint adjustment amount; Indicates the set of stable channels caused by the main principle. The corresponding set of joint executables; This represents the selection matrix that maps the joint regulation amount corresponding to the main stabilizing channel set to the complete control channel vector; This represents the control channel vector before adjustment; Indicates the first step after applying the joint adjustment. The stability margin corresponding to the stability boundary support condition; Indicates the set of stable channels caused by the main principle. Corresponding to the The condition-related operational margin confidence deduction for each stable boundary support condition; Joint maximum and minimum reachability margin discriminant In the process of determining the joint executable set The joint regulation amount is applied to the main stabilizing channel set, and the stability margin of each stability boundary support condition after the application of the joint regulation amount is determined. After deducting the corresponding operating margin confidence reduction amount related to the operating condition, the minimum stability margin in each stability boundary support condition is used to characterize the achievable stability margin corresponding to the joint regulation amount, and the maximum value that the minimum stability margin can reach is determined within the joint executable set. Therefore, the joint maximum and minimum reachability margin discriminant value is used to reflect the joint reachability of multiple main stabilization channels to all stability boundary support conditions when they work together under actual operating constraints, thus avoiding overestimation of the current online stabilization adjustment capability by directly superimposing the single-channel maximum stability margin improvement obtained by different control channels. When in a union of executable sets The internal calculation can obtain the joint adjustment quantity that satisfies all safety operation constraints, and satisfies... When the current risk is determined to meet the conditions for improvement to above the safety margin requirement through online control, the process enters the stabilization optimization branch, and the joint adjustment quantity is used as the initial value for subsequent stabilization optimization solutions; among which, This indicates the preset lower limit of the safety margin; when When this occurs, it indicates that under the current main stabilization channel set and operational constraints, the current online stabilization adjustment capability is insufficient to enable all support conditions in the stabilization boundary support condition set to meet the preset safety margin requirements. At this time, the conservative approach will enter the safety action selection or safety state recovery branch. When numerical solution failure, infeasibility, or timeout occurs during the joint maximum and minimum reachability margin determination process, the system conservatively enters the safe action selection or safe state recovery branch. Here, numerical solution failure or timeout is only a condition for conservatively entering the safe branch and does not imply that the joint executable set has been rigorously proven. All joint regulation measures failed to reach the preset safety margin; Therefore, the fast estimator of the candidate set It is only used for candidate control channel combination sorting and joint solution initial value generation, and does not directly determine the control branch; the final decision is based on the joint maximum and minimum reachability margin. Determine whether the current stability risk meets the conditions for being raised to a level above the preset safety margin requirement through online control; When it is possible to find a solution that satisfies all safe operating constraints and When the joint adjustment amount is reached, the subsequent safety constraint stabilization optimization step is entered; when If the combined reachability margin numerical solution fails, is infeasible, or times out, then proceed to the conservative safety action selection or safety state recovery step.

[0037] Furthermore, control instructions are generated based on the stability margin upliftability, including: When the stability margin escalability indicates that the target control channel can enable the stability boundary support case set to reach the preset safety margin, the safety constraint optimization model is solved with the control quantity corresponding to the target control channel as the decision variable to generate the stabilizing control command. When the stability margin escalability indicates that the target control channel cannot enable the stability boundary support case set to reach the preset safety margin, the safety constraint optimization model is infeasible, or the solution times out, a conservative safety control command is generated to keep the new energy grid-connected system away from the robust stability boundary.

[0038] As a preferred embodiment of the above, when all safe operation constraints have been satisfied and the joint maximum and minimum reachability margin discriminant value has been obtained... When the combined regulation amount is large, the main cause is the stable channel set. Corresponding adjustment amount A safety-constrained optimization model is solved for the decision variables, and the joint adjustment variable is used as the initial value for the safety-constrained optimization model; where, Indicates the set of stable channels caused by the main principle. The corresponding joint adjustment vector; the objective function of the safety-constrained optimization model is: ; in This represents the objective function to be optimized. This represents a station control command vector that includes active power, reactive power, energy storage power, and voltage support. This represents the station control command vector before optimization. and Represents the weight matrix. This refers to the costs associated with wind and solar power curtailment, energy storage lifespan loss, and the occupation or control of reactive power reserves. , , and These represent the weight coefficients of the objective function; The constraints of the safety-constrained optimization model include: For all All satisfy ; in, Indicates the set of stable channels caused by the main principle. According to the joint adjustment amount After adjustment, the first The stability margin corresponding to the stability boundary support condition; Indicates the relationship with the first A set of stable boundary support conditions and main stable channel sets Related operating margin confidence deduction; This indicates that the main cause will lead to a stable channel set. The corresponding joint adjustment quantity is mapped to the selection matrix of the complete control channel vector; This indicates the preset lower limit of the safety margin; Mainly leads to stable channel set Corresponding joint adjustment amount It should also satisfy the union executable set. The constraints, namely: ; Union executable collection It is determined by voltage constraints, current and equipment thermal stability constraints, power and power ramping constraints, energy storage state of charge and available energy storage power constraints, control channel allowable range constraints, and control parameter change rate constraints. Specifically, joint executable collections At least the following conditions must be met: ; ; ; ; as well as ; And satisfy the operational constraints corresponding to the energy storage state of charge and the available energy storage power; among which Represents the constraint functions for grid connection point voltage and bus voltage. This represents the constraint functions for converter current, line current, and equipment thermal stability. This represents the ramp constraint function for active power, reactive power, and energy storage power. Represents the adjustable control channel vector The permissible range Indicates the length of the control cycle. This indicates the upper limit of the overall rate of change of the stable channel caused by the main factor; The safety constraint optimization model is solved using quadratic programming, sequential quadratic programming, interior point method, model predictive control, robust optimization, partial blob optimization, or safety domain projection method to obtain a stable control scheme. When the joint maximum and minimum reachability margin discriminant value If the numerical solution of the joint reachability criterion fails, is infeasible, or times out, or if the safety constraint optimization model is infeasible or times out, a conservative safety control scheme or a safety state recovery scheme is generated. The conservative safety control scheme is determined based on the matching result between the insufficient stability margin and the feasibility of candidate safety actions; candidate safety actions include at least one of the following: active power derating, reactive power voltage support priority, energy storage active power support, grid support mode activation, mode limiting, maintaining the previous safe and feasible control state or restoring to the most recent safe and feasible control state. When the joint reachability margin is insufficient, optimization is infeasible, or the solution times out, the matching relationship between the insufficient stability margin and the feasibility of safe actions continues to be used to select specific safe actions; active power derating, reactive power voltage support, energy storage active power support, grid configuration mode activation, and safe state restoration are respectively recorded as candidate safe actions. Use post-action state mapping A unified description of continuous control variables, discrete mode switching, and historical safety state recovery, among which... , To meet the requirements of equipment capacity, operating rate, energy storage state of charge, mode switching conditions, and safe operation constraints; Let Indicates action The set of control channels to be invoked, and retrieved For actions lacking historical execution records, a preset conservative initial value is used: ; ; in, Indicates a safety action After execution The remaining margin for each supporting working condition is insufficient. Indicates based on action The condition-related confidence deduction amount formed by the historical execution deviation of the invoked channel. and These represent the cost of the action and the estimated completion time, respectively. and Indicates the corresponding weight; first, satisfying The safety branch selects the action with the lowest cost from a single action or a combination of compatible actions; when there are executable actions but none of them can meet the safety margin requirements, the emergency action with the smallest maximum remaining insufficiency is selected and the safety state recovery is initiated simultaneously; when there are no executable actions, the preset safety recovery or protection interlock is executed directly; thus, the safety branch selects an action based on the current uncovered margin insufficiency, rather than triggering the same protection measure in a fixed manner.

[0039] Furthermore, the execution effect of the verification control instructions includes: The same stability margin determination method as before the control command is applied is used to determine the stability margin after execution based on the second operating information; When the stability margin reaches the preset safety margin and the operating constraints are met after execution, the current control state is recorded as a safe and feasible control state. If the stability margin fails to reach the preset safety margin or the operating constraints are not met after execution, the new energy grid-connected system will be restored to the recorded safe and feasible control state. Based on the stability margin deviation before and after the application of the control command, the second operating information, the control command and the corresponding uncertainty information, a verification failure sample is generated, and the candidate operating condition set, the stability boundary support operating condition set and the executable stabilization adjustment capability are updated based on the verification failure sample.

[0040] As a preferred embodiment of the above, the stabilization control scheme obtained by generating the conservative safety control scheme or the safety state recovery scheme is converted into the control parameter adjustment amount and power control command that can be received by the grid-connected converter, energy storage converter, SVG, reactive power compensation device or station coordination controller, and applied to the corresponding equipment through the speed limiting link, the smoothing link and the equipment boundary projection link. After the control scheme is applied, the operating status is re-acquired, and the closed-loop model is calibrated using post-execution measurements. Based on the calibrated closed-loop model, the robust stability risk margin after execution is calculated. Post-execution runtime margin confidence deduction and the device constraint function after execution Meanwhile, regarding the current activity stability boundary support condition set For each stability boundary support condition, the stability margin after execution is reconstructed. and the corresponding operating margin confidence deduction based on the operating conditions. ;in, This indicates the robust stability risk margin after the control scheme is applied. This represents the operating margin confidence deduction after the control scheme is applied. This represents the combined constraint function after the control scheme is applied, encompassing voltage, current, power, thermal stability, and grid connection regulations. Indicates the first The reconstructed stability margin of a stable boundary support condition after the application of the control scheme. Indicates the first The condition-related operating margin confidence reduction of a stable boundary support condition after the control scheme is applied; Maintain a secure and feasible control state buffer queue: ; in This represents the set of historical safe and feasible control states. Indicates the first One historical adjustable control channel status Indicates the first Robust stability risk margin corresponding to each historical state Indicates the first The operational margin confidence reduction corresponding to each historical state. Indicates the first The device constraint function corresponding to each historical state Indicates the first A set of stable boundary support conditions corresponding to each historical state. Indicates the first The network topology state corresponding to each historical state. Indicates the first The timestamp corresponding to each historical state; Post-execution safety verification is performed one by one according to the current active stability boundary support conditions. The closed-loop model is calibrated using post-execution measurements, and specific conditions are applied to the active stability boundary support set. The stability margin after execution is determined for each stability boundary support condition. Operating margin confidence deduction related to operating conditions Only when for all All meet When all equipment operation constraints are met after execution, the current control state is recorded in the safe and feasible control state cache queue. ; in, Indicates the number of days after the control scheme is applied. The reconfiguration stability margin of a stable boundary support condition. Indicates the number of days after the control scheme is applied. The operating margin confidence deduction corresponding to each stable boundary support condition. This indicates the preset lower limit of the safety margin; No stable boundary support condition is satisfied If any device operation constraint is not met, the post-execution safety check is deemed to have failed, and the process proceeds to the safety action selection and safety status recovery steps. When the post-execution safety verification is passed, the execution deviation is determined based on the pre-execution predicted margin and the post-execution actual reconstruction margin, which is used for subsequent execution consistency evaluation and closed-loop update; Furthermore, based on the pre-implementation forecast margin Robust stability risk margin after execution Calculate execution margin deviation ,in It represents the robust stability risk margin predicted by the safety constraint optimization model before the control scheme is applied; the overall execution margin deviation is used to help judge the consistency between the prediction result and the actual execution result; When it exists Make Or, if any post-execution device constraint is not met, the cache queue is retrieved from the safe and feasible control state. Select the most recent safe and feasible control state that is the same as or compatible with the current network topology as the recovery control state. ,in, This represents the historical safe and feasible control state used for safe recovery, and is restored to the recovery control state through rate limiting and smooth projection. When execution margin deviation When the value exceeds the preset threshold, the stability margin is insufficient after execution of any stable boundary support condition, equipment constraints exceed limits, or a safe state recovery is triggered, the actual measurements, control scheme, model residuals, network topology status, and corresponding uncertainty samples are constructed as verification failure samples. ,in, This indicates operating samples where the stability margin requirement or equipment constraint requirement was not met after the control scheme was applied. To ensure that the failure to pass the verification directly changes the stabilization decision for the next control cycle, the closed-loop model is calibrated using post-execution measurements, and the post-execution margin for each supporting operating condition is recalculated on the calibrated closed-loop model. ;No. The predicted improvement, actual improvement of calibration and reconfiguration, and execution consistency ratio for each supporting operating condition are as follows: ; ; ; in, Indicates the first Before the control scheme is applied in the first control cycle... The stability margin of the stable boundary support condition, and the aforementioned stability margin in the current control channel vector. Make a decision Correspondingly; Indicates the prediction before control execution. Margin after execution of each supporting working condition; when Not greater than Or when the actual lifting direction is opposite to the predicted direction, let For the main channel of actual investment leading to stability. Using the method of leaving one side to calculate its relationship with the first side Attribution values ​​and normalized attribution coefficients for the predicted increase in each support working condition: ; ; in, Indicates the first Each control cycle targets the main stable channel set. The obtained joint regulation amount; Indicates removal of channel The joint adjustment is then recalculated on the remaining operational channels; the corresponding statistics are updated only for support conditions where model calibration and margin reconstruction can be completed based on post-execution measurements; unexecuted channels and non-reconfigurable conditions retain the values ​​from the previous period. The execution consistency coefficients corresponding to channels and conditions are updated using the following formula: ; Meanwhile, samples that failed the verification were used. Constructing a local uncertainty neighborhood around the center And in the subsequent Within each control cycle Directly merged into the activity support condition cluster; the weights of candidate conditions within the neighborhood are determined by... improve; The scale weight matrix represents the uncertainty components. Represents the neighborhood radius. Indicates the weighting coefficient. Indicates normalization. This represents the number of cycles to maintain the failed neighborhood. The initial value for the consistency coefficient is set to... , and The next cycle will use the updated version. , , The calculation and correction capabilities of candidate working condition weights, the cluster of active support working conditions, the candidate channel pool, channel combinations, joint reachability margins, and safety actions enable the results of this verification to directly enter the next control judgment. In the next control cycle, based on the updated execution consistency coefficient, deviation statistics, local uncertainty neighborhood, and candidate operating condition weights, the corrected stabilization capability, operating condition-related operating margin confidence deduction, active stability boundary support operating condition set, candidate control channel pool, main stabilization channel combination, and joint maximum and minimum reachability margin discrimination value are recalculated. This allows the post-execution verification results of this control cycle to directly participate in the stability margin upliftability discrimination and control quantity determination of the next control cycle.

[0041] Example 2;

[0042] Based on the same inventive concept as the renewable energy grid connection robustness margin improvement method in the foregoing embodiments, the present invention also provides a renewable energy grid connection robustness margin improvement system, the system comprising: The operating condition construction module acquires the first operating information, uncertainty information, adjustable control channels and operating constraints of the new energy grid-connected system, and generates a candidate operating condition set based on the first operating information and uncertainty information; The boundary margin identification module determines the stability margin of each candidate working condition in the candidate working condition set, and determines the set of stable boundary support working conditions that support the robust stable boundary and the corresponding margin deficiency information based on the stability margin. The stabilization capability discrimination module determines the executable stabilization adjustment capability of each adjustable control channel for the stability boundary support condition set based on the operating constraints, and determines the target control channel and the stability margin improvement capability based on the margin deficiency information and the executable stabilization adjustment capability. The control command generation module generates control commands corresponding to the target control channel based on the stability margin scalability, and applies the control commands to the new energy grid-connected system; The verification and update module is executed to obtain the second operating information after the control command is applied. The stability margin after execution is determined based on the second operating information, and the execution effect of the control command is verified based on the stability margin after execution, so as to update the candidate operating condition set and the executable stabilization adjustment capability.

[0043] The adjustment system described above in this invention can effectively realize a method for improving the robustness margin of new energy grid connection, and the technical effects it can achieve are as described in the above embodiments, and will not be repeated here.

[0044] Example 3;

[0045] Based on the same inventive concept as the new energy grid connection robustness margin improvement method in the foregoing embodiments, the present invention also provides a computer-readable storage medium storing a computer program, the computer program including program instructions, which, when executed by a processor, can realize the new energy grid connection robustness margin improvement method.

[0046] Although this application has been described in conjunction with specific features and embodiments, it is obvious that various modifications and combinations can be made thereto without departing from the spirit and scope of this application. Accordingly, this specification and drawings are merely exemplary illustrations of the application as defined herein, and are to be considered as covering any and all modifications, variations, combinations, or equivalents within the scope of this application. Clearly, those skilled in the art can make various alterations and modifications to this application without departing from its scope. Thus, if such modifications and modifications fall within the scope of this application and its equivalents, this application intends to include such modifications and modifications.

Claims

1. A method for improving the robustness margin of new energy grid connection, characterized in that, The method includes: Acquire the first operating information, uncertainty information, adjustable control channels and operating constraints of the new energy grid-connected system, and generate a candidate operating condition set based on the first operating information and the uncertainty information; Determine the stability margin of each candidate working condition in the candidate working condition set, and determine the set of stable boundary support working conditions that support the robust stability boundary and the corresponding margin deficiency information based on the stability margin. The executable stabilization adjustment capability of each of the adjustable control channels for the set of stable boundary support conditions is determined based on the operating constraints, and the target control channel and the stability margin improvement capability are determined based on the margin deficiency information and the executable stabilization adjustment capability. Based on the stability margin scalability, a control command corresponding to the target control channel is generated, and the control command is applied to the new energy grid-connected system; The system acquires second operating information after applying the control command, determines the post-execution stability margin based on the second operating information, and verifies the execution effect of the control command based on the post-execution stability margin, so as to update the candidate operating condition set and the executable stabilization adjustment capability.

2. The method for improving the robustness margin of new energy grid connection according to claim 1, characterized in that, Generate a candidate operating condition set, including: The candidate operating condition set is generated based on the historical operating samples, online identification results, model residuals, and network topology status corresponding to the uncertainty information. The weight of each candidate operating condition is determined based on its occurrence frequency, identification reliability, stability risk level, or number of times a safe state recovery is triggered.

3. The method for improving the robustness margin of new energy grid connection according to claim 1, characterized in that, Determine the set of stability boundary support load cases and corresponding margin insufficiency information, including: The robust stability risk margin is determined based on the minimum or quantile value of the stability margin among the candidate operating conditions. Candidate operating conditions whose stability margin is within a preset neighborhood of the robust stability risk margin are determined as the stability boundary support operating condition set. The insufficient stability margin for each stability boundary support condition is determined based on the difference between the preset safety margin and the stability margin for each stability boundary support condition, and the insufficient margin information is generated based on each insufficient stability margin.

4. The method for improving the robustness margin of new energy grid connection according to claim 1, characterized in that, Determine the executable stabilizing adjustment capability, including: The set of executable adjustments corresponding to each adjustable control channel is determined based on the adjustable direction, adjustment range, rate of change, and equipment operating status of each adjustable control channel; Determine the positive stability margin improvement that each adjustable control channel can generate for each stability boundary support condition within the corresponding set of executable adjustments; An executable stabilization adjustment capability matrix is ​​formed based on the positive stability margin improvement amount of each adjustable control channel to characterize the stability margin improvement capability of the stability boundary support condition set, and the executable stabilization adjustment capability matrix is ​​used as the executable stabilization adjustment capability.

5. The method for improving the robustness margin of new energy grid connection according to claim 1, characterized in that, Determine the target control channel and the potential for improvement in stability margin, including: Based on the margin deficiency information and the executable stabilization adjustment capability corresponding to each adjustable control channel, the stabilization contribution of each adjustable control channel is determined. At least one target control channel is determined based on each of the aforementioned stabilization contributions, and the stability margin upliftability is determined based on the synthetic stabilization adjustment capability of the target control channel for the set of stable boundary support conditions.

6. The method for improving the robustness margin of new energy grid connection according to claim 1, characterized in that, Determining stability margin upliftability includes: The operational margin confidence deduction is determined based on model residuals, measurement noise, communication delay, equipment limiting status, and historical execution deviations. The upper bound of the stability margin can be increased by determining the stability margin based on the stability margin of the stability boundary support condition set, the executable stabilization adjustment capability of the target control channel, and the operating margin confidence deduction. The stability margin upliftability is determined based on the comparison between the upper bound of the stability margin and the preset safety margin.

7. The method for improving the robustness margin of new energy grid connection according to claim 1, characterized in that, Control instructions are generated based on stability margin upliftability, including: When the stability margin upliftability indicates that the target control channel can enable the stability boundary support case set to reach the preset safety margin, the safety constraint optimization model is solved using the control quantity corresponding to the target control channel as the decision variable to generate a stabilizing control command. When the stability margin scalability indicates that the target control channel cannot enable the stability boundary support case set to reach the preset safety margin, the safety constraint optimization model is infeasible, or the solution times out, a conservative safety control command is generated to move the new energy grid-connected system away from the robust stability boundary.

8. The method for improving the robustness margin of new energy grid connection according to claim 1, characterized in that, Verify the execution effect of control commands, including: The same stability margin determination method as before the application of the control command is used to determine the post-execution stability margin based on the second operating information; When the stability margin reaches the preset safety margin after execution and the operating constraints are satisfied, the current control state is recorded as a safe and feasible control state. If the stability margin after execution does not reach the preset safety margin or the operating constraints are not met, the new energy grid-connected system will be restored to the recorded safe and feasible control state. Based on the stability margin deviation before and after the application of the control command, the second operating information, the control command and the corresponding uncertainty information, a verification failure sample is generated, and the candidate operating condition set, the stability boundary support operating condition set and the executable stabilization adjustment capability are updated based on the verification failure sample.

9. A robust margin enhancement system for new energy grid connection, characterized in that, The system includes: The operating condition construction module acquires the first operating information, uncertainty information, adjustable control channels and operating constraints of the new energy grid-connected system, and generates a candidate operating condition set based on the first operating information and uncertainty information; The boundary margin identification module determines the stability margin of each candidate working condition in the candidate working condition set, and determines the set of stable boundary support working conditions that support the robust stable boundary and the corresponding margin deficiency information based on the stability margin. The stabilization capability discrimination module determines the executable stabilization adjustment capability of each adjustable control channel for the stability boundary support condition set based on the operating constraints, and determines the target control channel and the stability margin improvement capability based on the margin deficiency information and the executable stabilization adjustment capability. The control command generation module generates control commands corresponding to the target control channel based on the stability margin scalability, and applies the control commands to the new energy grid-connected system; The verification and update module is executed to obtain the second operating information after the control command is applied. The stability margin after execution is determined based on the second operating information, and the execution effect of the control command is verified based on the stability margin after execution, so as to update the candidate operating condition set and the executable stabilization adjustment capability.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, which includes program instructions that, when executed by a processor, can implement the method for improving the robustness margin of new energy grid connection as described in any one of claims 1-8.

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