Intelligent control method and system for reactive power compensation based on electric arc furnace

Abstract

This application relates to the field of power system technology, specifically to a reactive power compensation intelligent control method and system based on power generation. The method includes: acquiring voltage and current signals of edge nodes in the distribution network; extracting node voltage offset and reactive power of the edge nodes based on the voltage and current signals; controlling a bidirectional reactive power regulation device to perform preliminary regulation of the edge nodes based on the joint determination result of node voltage offset and reactive power; and recording the regulation indicators of the preliminary regulation. Based on the node voltage offset and regulation indicators after preliminary regulation, determining whether the preliminary regulation meets the standards. If it does not meet the standards, the cause of non-compliance is located based on the node voltage offset and regulation indicators after preliminary regulation, and closed-loop secondary regulation is performed; the causes of non-compliance include uncorrected voltage offset, reactive power regulation parameter deviation, and slow response speed. This application has the advantages of strong real-time regulation, high reactive power compensation accuracy, and outstanding node voltage regulation capability.

Description

Technical Field

[0001] This application belongs to the field of power system technology, specifically a reactive power compensation intelligent control method and system based on power grid. Background Technology

[0002] In the new power supply pattern characterized by 750 kV and above AC transmission grid connection, large-scale power grid security and defense system, and intelligent dispatch system, the distribution network, as a key terminal link connecting the large power grid's power transmission with user load, relies heavily on reactive power compensation as a core technology for balancing node voltage, suppressing grid losses, and improving the operational stability and power supply reliability of the distribution system. With the continuous advancement of new power system construction and the expanding scale of distributed new energy grid connection, the edge loads of the distribution network are becoming increasingly complex and volatile. The combined impact of the random output of distributed power sources and the peak-valley difference fluctuations in load is significant, continuously increasing the demand for refined, timely, and localized control of reactive power at edge nodes. This directly relates to the overall voltage support capacity and security defense operation level of the large-scale power grid.

[0003] In existing technologies, conventional reactive power compensation control schemes for distribution networks mostly adopt a centralized control mode. That is, the entire network is uniformly coordinated and dispatched by a remote control center, which centrally collects electrical data across the entire network and makes centralized analysis and decisions. Each edge node of the distribution network only acts as an execution end, passively receiving control commands issued by the remote center, and uniformly completing the centralized compensation operation of reactive power. The unified management and control of reactive power across the entire network is achieved through remote hierarchical command interaction.

[0004] However, in centralized control mode, edge nodes cannot achieve local autonomous control and must rely on commands from a remote control center to carry out compensation operations. Furthermore, it is difficult to perceive dynamic changes in voltage and current in real time. Therefore, when dealing with local load fluctuations and sudden changes in operating conditions, this mode exhibits significant response lag, resulting not only in poor reactive power compensation and low regulation efficiency, but also easily causing problems such as node voltage deviation and insufficient compensation accuracy. This leads to suboptimal reactive power compensation and seriously affects the overall safe and stable operation of the distribution network. In summary, existing reactive power compensation control schemes suffer from poor real-time performance, low compensation accuracy, and weak voltage regulation capabilities. Summary of the Invention

[0005] To address the above issues, this application provides a reactive power compensation intelligent control method and system based on Dianhong, which solves the technical problems of poor real-time performance, low compensation accuracy, and insufficient voltage regulation capability in existing reactive power compensation control schemes. It is suitable for the precise reactive power and voltage control needs at the distribution network end in power supply scenarios such as 750 kV and above AC transmission, large-scale power grid security and defense systems, and intelligent dispatching systems, thus strengthening the safe and stable foundation for the coordinated operation of the large power grid and distribution network.

[0006] To achieve the above objectives, the technical solution adopted in this application is as follows:

[0007] On the one hand, a reactive power compensation intelligent control method based on Dianhong is provided, including:

[0008] The voltage and current signals of the edge nodes of the distribution network are acquired, and the node voltage offset and node reactive power of the edge nodes are extracted based on the voltage and current signals.

[0009] Based on the joint determination result of the node voltage offset and the node reactive power, the bidirectional reactive power regulation device is controlled to perform preliminary regulation on the edge node, and the regulation index of the preliminary regulation is recorded; wherein, the preliminary regulation includes injecting reactive power or absorbing reactive power, and the regulation index includes reactive power regulation value and regulation response time;

[0010] Based on the node voltage offset after the initial adjustment and the control index, it is determined whether the initial adjustment has met the target.

[0011] If the initial adjustment fails to meet the target, the cause of the failure is located based on the node voltage offset after the initial adjustment and the control index, and a closed-loop secondary adjustment is performed based on the cause of the failure; wherein, the cause of the failure includes uncorrected voltage offset, reactive power adjustment parameter deviation, and slow response speed.

[0012] On the other hand, a reactive power compensation intelligent control system based on Dianhong is provided, including:

[0013] The signal acquisition and parameter extraction module is used to acquire voltage and current signals of the edge nodes of the distribution network, and extract the node voltage offset and node reactive power of the edge nodes based on the voltage and current signals.

[0014] The preliminary adjustment module is used to control the bidirectional reactive power adjustment device to perform preliminary adjustment on the edge node based on the joint determination result of the node voltage offset and the node reactive power, and to record the control index of the preliminary adjustment; wherein, the preliminary adjustment includes injecting reactive power or absorbing reactive power, and the control index includes reactive power adjustment value and adjustment response time;

[0015] The preliminary adjustment compliance determination module is used to determine whether the preliminary adjustment meets the standard based on the node voltage offset after the preliminary adjustment and the control index.

[0016] The cause localization and closed-loop secondary adjustment module is used to locate the cause of non-compliance when the initial adjustment fails to meet the standard, based on the node voltage offset after the initial adjustment and the control index, and to perform closed-loop secondary adjustment based on the cause of non-compliance; wherein, the cause of non-compliance includes uncorrected voltage offset, reactive power adjustment parameter deviation, and slow response speed.

[0017] The technical solution of this application employs distributed control to achieve reactive power compensation at edge nodes. Specifically, relying on the Dianhong architecture, it enables independent local operation at edge nodes, acquiring voltage and current signals in real time and rapidly calculating and extracting node voltage deviation and reactive power. This eliminates the heavy dependence on remote control centers, achieving autonomous sensing, local judgment, and independent control at the edge, effectively solving the shortcomings of traditional centralized solutions in terms of insufficient real-time performance and delayed control response. Simultaneously, this application uses a joint judgment mechanism of node voltage deviation and node reactive power to conduct preliminary reactive power regulation, considering both the degree of voltage deviation from the acceptable range and the local reactive power supply-demand balance, avoiding the biased control caused by single-parameter judgment. Based on this, by judging the preliminary regulation effect to meet standards, it accurately identifies abnormal problems such as uncorrected voltage deviation, reactive power regulation parameter deviation, and slow response speed, and matches corresponding strategies to implement closed-loop secondary regulation. This hierarchical control and precise correction design effectively optimizes control logic, improves reactive power compensation control accuracy, enhances the voltage stability regulation capability of edge nodes, compensates for the shortcomings of insufficient compensation accuracy and weak voltage control in traditional solutions, and ensures the stable and reliable operation of distribution network edge nodes. In summary, the proposed solution has the advantages of strong real-time control, high reactive power compensation accuracy, and outstanding node voltage control capability. Attached Figure Description

[0018] Figure 1 A flowchart of a reactive power compensation intelligent control method based on Dianhong provided in the embodiments of this application;

[0019] Figure 2 A flowchart of another intelligent reactive power compensation control method based on Dianhong provided for embodiments of this application;

[0020] Figure 3 This is a schematic diagram of a reactive power compensation intelligent control system based on Dianhong, provided as an embodiment of this application. Detailed Implementation

[0021] To enable those skilled in the art to better understand the technical solution, the present application will be described in detail below with reference to the embodiments. The description in this section is only exemplary and explanatory, and should not be used to limit the scope of protection of the present application in any way.

[0022] Figure 1This document presents a flowchart of a reactive power compensation intelligent control method based on Dianhong, which is applicable to local reactive power balance control scenarios at the edge nodes of a distribution network. The method can be executed by a control module based on the Dianhong architecture, which can be implemented in hardware and / or software. Figure 1 As shown, the method includes:

[0023] S110. Obtain the voltage and current signals of the edge nodes of the distribution network, and extract the node voltage offset and node reactive power of the edge nodes based on the voltage and current signals.

[0024] Specifically, the "Dianhong Architecture" refers to the HarmonyOS IoT operating system for power systems. The Dianhong Architecture possesses edge autonomy, data closed-loop, and real-time control capabilities, enabling localized reactive power and voltage collaborative regulation at distribution network edge nodes. Distribution network edge nodes refer to the end distribution nodes in the distribution network that are close to the load side and far from the main dispatch center. Distribution network edge nodes directly connect to on-site electrical equipment and are susceptible to load fluctuations, making them high-risk areas for reactive power imbalance and voltage deviation. Voltage and current signals are the basic electrical sampling data for the real-time operation of edge nodes, directly reflecting the current power supply status of the nodes. Node voltage deviation refers to the deviation between the actual operating voltage of the edge node and the rated standard voltage of that node on the distribution network. Node reactive power refers to the reactive load value generated during the operation of the edge node load, directly determining the magnitude of reactive power compensation requirements.

[0025] Optionally, the voltage and current signals of the distribution network edge nodes are acquired, and the node voltage offset and reactive power of the edge nodes are extracted based on the voltage and current signals. This includes: acquiring the voltage and current signals through a voltage-current composite sensor array installed at the distribution network edge nodes, and denoising the voltage and current signals using a first-order recursive time-domain filtering algorithm. The node voltage offset is determined based on the denoised voltage signal, using the rated voltage of the distribution network as a reference. The node reactive power is determined based on the amplitude and phase relationship of the denoised voltage and current signals.

[0026] Specifically, a voltage and current composite sensor array refers to an integrated sensing device group deployed at the edge nodes of a power distribution network. It is used to simultaneously acquire real-time voltage and current signals from the power grid, providing raw data for subsequent electrical parameter calculations. The first-order recursive time-domain filtering algorithm is a lightweight real-time filtering algorithm that, based on time-domain recursive operations, performs noise reduction and smoothing processing on the acquired raw voltage and current signals, filtering out noise such as harmonics and pulse interference, ensuring the accuracy and stability of the sampled signals.

[0027] For example, a voltage and current composite sensor array is deployed at the edge nodes of the distribution network to collect the original voltage and current signals of the lines in real time. Since field conditions are prone to interference noise such as harmonics and pulses, a first-order recursive time-domain filtering algorithm is used to uniformly denoise and smooth the collected voltage and current signals. Then, using the rated voltage of the distribution network as a reference, the node voltage offset is calculated based on the denoised voltage signal. Simultaneously, based on the amplitude and phase correspondence of the filtered voltage and current signals, the reactive power of the node is accurately calculated, providing accurate, stable, and reliable basic operating parameters for subsequent reactive power compensation and control.

[0028] In this embodiment, edge-based local data acquisition and parameter calculation are achieved using the Dianhong architecture. This eliminates the need to upload raw electrical signals to a remote control center, allowing for synchronous acquisition of voltage and current signals locally. This effectively reduces data processing latency and improves the real-time performance of reactive power regulation from the source, better adapting to operating scenarios with sudden changes in grid conditions and frequent load fluctuations. Simultaneously, based on electrical calculation logic, the voltage and current signals are calculated in real time to obtain node voltage offsets and node reactive power, providing raw and accurate field data support for subsequent reactive power regulation strategies.

[0029] S120. Based on the joint determination result of node voltage offset and node reactive power, control the bidirectional reactive power regulation device to perform preliminary regulation on the edge node, and record the regulation indicators of the preliminary regulation. Among them, the preliminary regulation includes injecting reactive power or absorbing reactive power, and the regulation indicators include reactive power regulation value and regulation response time.

[0030] Specifically, joint judgment refers to simultaneously combining two electrical parameters—node voltage deviation and node reactive power—to comprehensively evaluate the voltage quality and reactive power supply-demand balance of edge nodes, using this as the basis for decision-making on adjustment actions. A bidirectional reactive power regulation device refers to an execution device with bidirectional control capabilities, which can flexibly inject or absorb reactive power according to on-site conditions, adapting to different scenarios of capacitive and inductive reactive power imbalance at nodes. For example, a bidirectional reactive power regulation device can be a static var generator, a static var compensator, or a distributed energy storage bidirectional converter. Preliminary adjustment refers to the first round of reactive power balance control operations performed based on the joint judgment results of the two parameters, used to quickly smooth out basic reactive power fluctuations and conventional voltage deviations in the power grid. The reactive power regulation value refers to the quantitative value of reactive power output or absorption during the preliminary adjustment process, used to characterize the execution magnitude of the preliminary adjustment action. It should be noted that the reactive power regulation value can be positive or negative; a positive value represents the bidirectional reactive power regulation device injecting reactive power into the distribution network edge node, and a negative value represents the bidirectional reactive power regulation device absorbing reactive power from the distribution network edge node. The Dianhong architecture controls the bidirectional reactive power regulator via control commands. The regulation response time refers to the time it takes for the bidirectional reactive power regulator to complete its response after the control command is issued.

[0031] In this embodiment, a joint judgment based on node voltage offset and node reactive power is made. On the one hand, this prevents over- or under-compensation caused by focusing solely on voltage while neglecting reactive power matching. On the other hand, it enables the control logic of the initial reactive power regulation to better align with the actual characteristics of grid load fluctuations, making the reactive power injection or absorption regulation actions more reasonable and precise. This provides comprehensive and reliable data for subsequent regulation compliance judgment and closed-loop secondary correction, improving the overall reactive power compensation control accuracy and operating condition adaptability from the source. The entire process of reactive power regulation value, regulation response time, and other control indicators is quantitatively recorded, retaining the regulation actions, regulation amplitude, and response time throughout the process. This makes the regulation process quantifiable and traceable, providing complete data support for subsequent compliance judgment and secondary closed-loop optimization regulation.

[0032] S130. Based on the node voltage offset and control indicators after preliminary adjustment, determine whether the preliminary adjustment meets the standards.

[0033] In this embodiment, the adjusted voltage state and overall control indicators are simultaneously verified. Data comparison and logical judgment are performed locally using the Dianhong architecture. This allows for objective verification of the initial adjustment's effect on voltage deviation correction and the efficiency of adjustment actions, accurately distinguishing between qualified and unqualified conditions, and providing a reliable basis for subsequent closed-loop control processes. Simultaneously, it promptly identifies various potential problems in the initial adjustment, effectively screening for issues such as inadequate voltage rectification, unreasonable adjustment parameters, and insufficient response speed, preventing unqualified adjustment operations from affecting the stable operation of the distribution network.

[0034] S140. If the initial adjustment fails to meet the target, the cause of the failure shall be identified based on the node voltage deviation and control indicators after the initial adjustment, and a closed-loop secondary adjustment shall be performed based on the cause of the failure. The causes of failure include uncorrected voltage deviation, reactive power regulation parameter deviation, and excessively slow response speed.

[0035] Specifically, closed-loop secondary regulation refers to targeted secondary optimization and control carried out based on actual on-site conditions when the initial regulation effect is unsatisfactory. This application establishes a closed-loop control logic encompassing initial regulation, effect verification, and deviation correction. Uncorrected voltage deviation means that after initial reactive power regulation, the node voltage deviation still exceeds the allowable range, and the voltage quality has not recovered to the acceptable range. Reactive power regulation parameter deviation means that the reactive power regulation value matching in the initial regulation is insufficient, resulting in over-compensation or under-compensation, leading to an inability to balance the actual reactive power supply and demand at the node. Slow response speed means that the initial regulation response time exceeds the preset standard, the regulation action is lagging, and it is difficult to adapt to instantaneous load fluctuations in the power grid.

[0036] In this embodiment, when initial regulation fails, a single fixed regulation logic is no longer repeatedly executed. Instead, the specific causes of non-compliance are traced back and precisely located by combining the post-regulation node voltage offset and historical regulation indicators. For the three types of problems encountered during the initial regulation process—uncorrected voltage offset, reactive power regulation parameter deviation, and slow response speed—differentiated control strategies are matched accordingly. Closed-loop secondary optimization regulation is executed in a targeted manner. Leveraging the advantages of Dianhong's edge local control, the entire process involves local analysis, local decision-making, and local correction, achieving problem classification and dynamic correction. This allows for targeted optimization of regulation parameters and control response logic, improving the system's adaptability to complex load fluctuations and sudden operating conditions, avoiding regulation failures, stabilizing the voltage operation level of edge nodes, and comprehensively enhancing the autonomy, stability, and intelligence of local reactive power regulation.

[0037] The technical solution provided in this application adopts distributed control to achieve reactive power compensation at edge nodes. Specifically, relying on the Dianhong architecture, the edge nodes achieve independent local operation, collect voltage and current signals in real time, and quickly calculate and extract node voltage deviation and reactive power. This eliminates the high dependence on remote control centers, enabling autonomous sensing, local judgment, and independent control at the edge, effectively solving the shortcomings of traditional centralized solutions such as insufficient real-time performance and delayed control response. Simultaneously, this application adopts a joint judgment mechanism of node voltage deviation and node reactive power to conduct preliminary reactive power adjustment. This considers both the degree of voltage deviation from the acceptable range and the local reactive power supply and demand balance, avoiding the biased control caused by single-parameter judgment. Based on this, by judging the preliminary adjustment effect to meet standards, abnormal problems such as uncorrected voltage deviation, reactive power adjustment parameter deviation, and slow response speed are accurately identified, and corresponding strategies are matched to implement closed-loop secondary adjustment. This layered control and precise correction design effectively optimizes the control logic, improves reactive power compensation control accuracy, enhances the voltage stability control capability of edge nodes, and compensates for the shortcomings of traditional schemes such as insufficient compensation accuracy and weak voltage control, ensuring the stable and reliable operation of distribution network edge nodes. In summary, the scheme in this application embodiment has the advantages of strong real-time control, high reactive power compensation accuracy, and outstanding node voltage control capability.

[0038] Figure 2 A flowchart illustrating another intelligent reactive power compensation control method based on Dianhong, provided as an embodiment of this application. Based on the above embodiments, as... Figure 2 As shown, optionally, the reactive power compensation intelligent control method based on Dianhong includes:

[0039] S210. Obtain the voltage and current signals of the edge nodes of the distribution network, and extract the node voltage offset and node reactive power of the edge nodes based on the voltage and current signals.

[0040] S220. Determine whether there is a reactive power deficit or a reactive power surplus at the edge nodes based on the reactive power of the nodes.

[0041] Specifically, reactive power deficit refers to the excessive inductive reactive power demand at edge nodes, resulting in insufficient reactive power supply and the need to inject reactive power to maintain grid stability. Reactive power surplus refers to the excess capacitive reactive power at nodes, where reactive power output exceeds actual demand and the excess reactive power needs to be absorbed to prevent abnormal voltage rises.

[0042] For example, the reactive power baseline rated range of edge nodes, pre-set according to the power distribution operation specifications, is used as the criterion for determining reactive power supply and demand balance. When the detected reactive power of a node exceeds the upper limit of the baseline rated range, it indicates that the proportion of inductive load on site is large, and reactive power consumption exceeds reactive power supply, which is determined to be a reactive power deficit. If the node voltage deviation is negative and the actual voltage is low at this time, the bidirectional reactive power regulation device is controlled to inject reactive power to make up for the reactive power deficit and raise the voltage. When the node reactive power is lower than the lower limit of the baseline rated range or even negative, it indicates that there is an excess of capacitive reactive power, which is determined to be a reactive power surplus. If the node voltage deviation is positive and the actual voltage is high at this time, the bidirectional reactive power regulation device is controlled to absorb the excess reactive power and reduce the node operating voltage.

[0043] In this embodiment, local data analysis is achieved based on the Elec-Tech architecture. The reactive power of nodes, which is collected and calculated in real time, is used as the basis for judgment. The reactive power supply and demand relationship of nodes is quantitatively compared, and the two unbalanced operating conditions of reactive power deficit and reactive power surplus are accurately distinguished. Reactive power status identification is completed independently on the edge side without relying on instructions issued by the remote dispatch center, providing a preliminary judgment condition for the formulation of subsequent bidirectional reactive power differential adjustment strategies.

[0044] S230. If there is a reactive power deficit at the edge node and the node voltage offset is negative, then control the bidirectional reactive power regulation device to inject reactive power into the edge node to raise the voltage; if there is a reactive power surplus at the edge node and the node voltage offset is positive, then control the bidirectional reactive power regulation device to absorb the reactive power of the edge node to lower the voltage.

[0045] Specifically, in a distribution network, excessive inductive loads consume a large amount of reactive power, resulting in insufficient local reactive power supply and a reactive power deficit. This deficit directly leads to increased line voltage drop and voltage dips at nodes, causing the actual voltage to fall below the rated value, with a negative voltage deviation. In this situation, injecting reactive power into the distribution network through a bidirectional reactive power regulation device can locally supplement the reactive power gap, reduce line reactive power losses, optimize the power factor of the grid, and effectively raise the node voltage, restoring it to the acceptable range. In scenarios such as light loads and long-line capacitive effects, a large amount of redundant capacitive reactive power is generated, resulting in a reactive power surplus. This excess reactive power raises the no-load or light-load voltage of the grid, causing node overvoltage, with the actual voltage exceeding the rated value and a positive voltage deviation. In this case, absorbing excess reactive power from the distribution network through a bidirectional reactive power regulation device consumes the local redundant reactive power, suppressing reactive power backfeeding, weakening the capacitive voltage boost effect, and thus reducing excessively high node voltages and preventing overvoltage operation.

[0046] For example, when a high-power motor is running at a distribution network edge node, the inductive load increases, resulting in a reactive power deficit. Simultaneously, the measured voltage is lower than the rated value, with a negative voltage deviation. In this case, the control module of the Dianhong architecture controls a bidirectional reactive power regulation device to inject capacitive reactive power into the node, supplementing the reactive power deficit and gradually raising the node voltage until it returns to the acceptable range. Conversely, when the distribution network edge node is under light load at night, a reactive power surplus occurs, leading to a positive voltage deviation due to no-load voltage increases. In this case, the control module of the Dianhong architecture controls a bidirectional reactive power regulation device to absorb the excess reactive power locally, consuming the excess capacitive reactive power, suppressing a continuous voltage rise, and preventing overvoltage damage to electrical equipment.

[0047] Based on the above embodiments, optionally, the bidirectional reactive power regulation device is controlled to perform preliminary adjustment on the edge node based on the joint determination result of the node voltage offset and the node reactive power. This further includes: if the edge node has a reactive power deficit and the node voltage offset is positive, then the bidirectional reactive power regulation device is controlled to absorb reactive power to reduce the voltage and issue an alarm signal; if the edge node has a reactive power surplus and the node voltage offset is negative, then the bidirectional reactive power regulation device is controlled to inject reactive power to raise the voltage and issue an alarm signal.

[0048] Specifically, under normal operating conditions, reactive power deficit is usually accompanied by low voltage. However, if reactive power deficit occurs simultaneously with abnormally high node voltage, it indicates an abnormal coupling condition in the power grid, often caused by special factors such as voltage boosting from the upstream grid, abnormal line parameters, or sudden load changes, violating the conventional reactive power-voltage linkage pattern. In this situation, blindly injecting reactive power will further exacerbate the risk of voltage exceeding the upper limit, damaging electrical equipment. Therefore, reverse control is needed: absorbing excess reactive power, forcibly suppressing excessively high node voltage, and curbing the continuous voltage rise. Simultaneously, since this condition is an abnormal operating state and cannot be self-healed by conventional adjustments, an alarm signal must be issued to remind maintenance personnel to investigate potential abnormalities in lines, loads, and equipment.

[0049] Similarly, under normal operating conditions, reactive power surplus will cause voltage to be too high; however, reactive power surplus combined with voltage drop is an abnormal operating condition, generally occurring in special scenarios such as abnormal line impedance, excessive voltage drop under heavy load, and disordered reactive power distribution. Directly absorbing reactive power in this situation would further exacerbate the voltage drop and increase the potential for low-voltage power supply problems. Therefore, a reverse control strategy is adopted: actively injecting reactive power to compensate for line voltage drop, raise the low voltage at nodes, and ensure that the power supply voltage is up to standard. Since this condition is not within the normal operating range and may indicate potential equipment or line faults, an alarm signal is triggered simultaneously for timely manual verification and handling.

[0050] S240, Record the control indicators for initial adjustment.

[0051] S250, a historical data storage module based on the Dianhong architecture, calls upon the historical power compensation database and, in conjunction with the historical power compensation database, sets the node voltage offset range, reactive power adjustment range, and adjustment response time threshold. Specifically, the node voltage offset range is determined jointly based on the grid's rated voltage and historical voltage fluctuation data in the historical power compensation database; the reactive power adjustment range is determined comprehensively based on the maximum reactive power deficit and maximum reactive power surplus recorded in the historical power compensation database for edge nodes during operation, combined with the rated operating capacity of the bidirectional reactive power regulation device; and the adjustment response time threshold is determined based on the action response time of the bidirectional reactive power regulation device executing control commands, as recorded in the historical power compensation database.

[0052] Specifically, the historical data storage module refers to the data storage unit built into the Dianhong architecture, used for long-term collection and storage of past operating parameters, compensation records, and equipment operating data of edge nodes, providing data support for parameter tuning. The historical power compensation database is a dedicated database that summarizes historical reactive power compensation records, voltage fluctuation data, load change patterns, and device regulation execution data, containing past regulation cases and operating indicators under different operating conditions. The node voltage deviation range refers to the reasonable allowable range of voltage fluctuation defined based on historical operating patterns, serving as a benchmark threshold for judging whether the voltage is qualified and whether intervention is needed. The reactive power regulation range refers to the upper and lower limit ranges of reactive power set in conjunction with node load characteristics, used to constrain the compensation amplitude of the bidirectional reactive power regulation device and prevent over-compensation or under-compensation. The regulation response time threshold refers to the time judgment standard for regulating the response speed of regulation actions, used to measure the efficiency of regulation execution and screen abnormal operating conditions with delayed responses.

[0053] In this embodiment, firstly, based on the grid rated voltage, the voltage fluctuation range under normal operating conditions in the historical power compensation database is statistically analyzed. Abnormal data such as faults and extreme loads are eliminated. Combined with distribution safety standards, the node voltage offset range is defined. When the actual voltage falls within the node voltage offset range, the voltage is deemed acceptable; exceeding the upper or lower limits is respectively determined as positive voltage offset (overvoltage) or negative voltage offset (undervoltage). For example, the rated voltage of low-voltage distribution is 220V. After retrieving data from the historical power compensation database, it is found that the normal operating voltage of this node is concentrated between 215V and 235V. Based on this, the node voltage offset range is set to 215V-235V. If the voltage is less than 215V, the calculated voltage offset is negative, and the edge node is in an undervoltage state; if the voltage is greater than 235V, the calculated voltage offset is positive, and the edge node is in an overvoltage state. Then, the maximum reactive power deficit and maximum reactive power surplus values ​​of the edge nodes during long-term operation are queried from the historical power compensation database. Simultaneously, combined with the rated operating capacity of the bidirectional reactive power regulation device, reasonable upper and lower limits for reactive power regulation are defined, i.e., the reactive power regulation range. This limits the maximum compensation amplitude and the maximum absorption amplitude, avoiding overcompensation, undercompensation, and equipment overload. For example, if historical data shows that the node's maximum inductive reactive power deficit is 60 kvar and the maximum capacitive reactive power surplus is 40 kvar, the reactive power regulation range can be set to -40 kvar to +60 kvar, based on the equipment's carrying capacity. The positive range corresponds to the reactive power deficit condition, where reactive power injection is performed; the negative range corresponds to the reactive power surplus condition, where reactive power absorption is performed. Finally, the response time of the bidirectional reactive power regulator for each control command execution under historical operating conditions is statistically analyzed to calculate its normal operating response time. Combined with the rapid response requirements of dynamic fluctuations in grid load, a maximum allowable response time for the regulation action is set. When the actual response time exceeds this limit, it can be determined that the regulation response is lagging and the regulation has not met the standard. For example, retrieving multiple sets of historical regulation records shows that the normal response time of the bidirectional reactive power regulator is concentrated between 100ms and 250ms. Taking into account both equipment operational stability and fault tolerance requirements, the regulation response time threshold is set to 250ms. If the actual regulation time is less than or equal to 250ms, the response is considered qualified. If the actual time exceeds 250ms, the response is considered to have timed out and the regulation has not met the standard, and a secondary closed-loop regulation or an abnormal alarm mechanism can be triggered simultaneously.

[0054] S260. If the node voltage offset after preliminary adjustment is within the node voltage offset range, the reactive power adjustment value is within the reactive power adjustment range, and the adjustment response time is lower than the adjustment response time threshold, then the preliminary adjustment is deemed to be up to standard; otherwise, the preliminary adjustment is deemed to be down to standard.

[0055] The reasons for not meeting the standards include uncorrected voltage deviation, deviation of reactive power regulation parameters, and slow response speed.

[0056] In this embodiment, the initial adjustment effect is verified in multiple dimensions by combining three indicators: node voltage offset range, reactive power adjustment range, and adjustment response time threshold. The adjustment is deemed satisfactory only when all three parameters—node voltage offset, reactive power adjustment value, and adjustment response time—meet the preset requirements; otherwise, it is considered unsatisfactory. This embodiment employs quantitative joint judgment, with rigorous and comprehensive verification logic, enabling precise identification of adjustment defects and providing a reliable basis for subsequent closed-loop optimization adjustment, thus ensuring the quality of voltage and reactive power control.

[0057] S270. If the node voltage offset after preliminary adjustment is not within the node voltage offset range, the reason for non-compliance is determined to be that the voltage offset has not been corrected; if the reactive power adjustment value is not within the reactive power adjustment range, the reason for non-compliance is determined to be that the reactive power adjustment parameter is deviated; if the adjustment response time is not lower than the adjustment response time threshold, the reason for non-compliance is determined to be that the response speed is too slow.

[0058] Specifically, in distribution network fault management, voltage exceeding limits poses the greatest threat, followed by reactive power parameter deviations, while response timeouts have the weakest impact. Therefore, voltage stability is the primary objective of reactive power regulation, and the first priority is to verify whether the node voltage has returned to acceptable levels. If voltage deviation is not corrected, regardless of whether parameters and timing are normal, the core regulation objective has not been achieved, and this is directly identified as the primary cause of the fault, requiring no further investigation. Assuming the voltage is within acceptable limits, the reactive power regulation execution effect should be checked progressively to determine if there are parameter mismatch issues such as overcompensation or undercompensation. After ensuring the first two are normal, the response timeout is finally verified.

[0059] In this embodiment, a progressive, sequential judgment logic is adopted, checking voltage regulation results, reactive power regulation deviation, and execution timeliness in that order. Only when the previous item passes the check can the next item be checked, thus pinpointing the unique cause of non-compliance for each item. This sequence aligns with the actual handling priorities of power distribution operation and maintenance, facilitating subsequent targeted secondary adjustments and maintenance checks. Furthermore, the progressive judgment uses a one-way cutoff logic; if the previous indicator is abnormal, subsequent checks are terminated, eliminating the need for a full comparison of all three parameters. This simplifies edge-side computational burden, accelerates fault location, and meets the needs of rapid on-site analysis at the edge of the power distribution architecture.

[0060] S280. Perform closed-loop secondary adjustment based on the reasons for non-compliance.

[0061] Based on the above embodiments, optionally, closed-loop secondary adjustment is performed according to the reason for non-compliance, including: if the reason for non-compliance is that the voltage deviation is not corrected, then based on the node voltage deviation after preliminary adjustment, the bidirectional reactive power adjustment device is controlled to gradually inject reactive power or absorb reactive power until the node voltage deviation falls within the node voltage deviation range.

[0062] In this embodiment, when the initial adjustment fails to meet the standard due to uncorrected voltage deviation, closed-loop fine-tuning adjustment is carried out based on the actual detected node voltage deviation after the initial adjustment. If the node voltage deviation is negative and the actual voltage is too low, the bidirectional reactive power regulation device is controlled to gradually inject reactive power incrementally for small-scale continuous compensation; if the node voltage deviation is positive and the actual voltage is too high, the bidirectional reactive power regulation device is controlled to gradually absorb reactive power in stages. The voltage state is continuously corrected through a small-step progressive adjustment method, and node voltage data is collected and compared in real time until the node voltage deviation stably falls into the preset node voltage deviation range, at which point the secondary adjustment action is stopped, thereby completely solving the problem of uncorrected voltage deviation and ensuring that the edge node voltage operates in a qualified and stable manner.

[0063] Based on the above embodiments, optionally, the closed-loop secondary adjustment based on the reason for non-compliance further includes: if the reason for non-compliance is the deviation of reactive power adjustment parameters, then setting a voltage fine-tuning range according to the voltage offset interval, calculating the reactive power adjustment deviation between the reactive power adjustment value and the median of the reactive power adjustment range, determining the reactive power fine-tuning amount based on the reactive power adjustment deviation and the voltage fine-tuning range, and controlling the bidirectional reactive power adjustment device to inject reactive power into the edge node or absorb reactive power according to the reactive power fine-tuning amount.

[0064] Specifically, reactive power regulation deviation refers to the difference between the currently executed reactive power regulation value and the median of the preset reactive power regulation range. Reactive power fine-tuning refers to a small correction of the reactive power value calculated by combining the reactive power regulation deviation with reference to the limited voltage fine-tuning range. Reactive power fine-tuning is used to make small adjustments to the output of the bidirectional reactive power regulation device, correcting the reactive power output deviation and bringing the reactive power regulation value back to the normal regulation range, while keeping voltage fluctuations within a safe range throughout. For example, if, after considering the voltage fine-tuning range limit, the calculation shows that a reduction of 25 kvar in reactive power output is needed, then this 25 kvar is the reactive power fine-tuning amount for this operation.

[0065] In this embodiment, if the failure to meet the standard is due to a deviation in the reactive power regulation parameters, firstly, a safe and controllable voltage fine-tuning range is defined based on a preset node voltage offset range to avoid voltage exceeding limits caused by secondary regulation. Simultaneously, the reactive power regulation deviation between the current reactive power regulation value and the median of the reactive power regulation range is calculated. A reasonable reactive power fine-tuning amount is determined by combining this reactive power deviation with the voltage fine-tuning range. Subsequently, the bidirectional reactive power regulation device is controlled to gradually inject or absorb reactive power into the edge nodes according to the calculated reactive power fine-tuning amount, correcting the reactive power regulation amplitude deviation and bringing the reactive power regulation value back to the standard regulation range. This ensures accurate correction of the reactive power parameters while maintaining voltage stability.

[0066] Based on the above embodiments, optionally, the closed-loop secondary adjustment based on the reason for non-compliance further includes: if the reason for non-compliance is that the response speed is too slow, generating a verification command of the same magnitude and direction as the reactive power adjustment value of the initial adjustment, controlling the bidirectional reactive power adjustment device to execute the verification command and monitoring the verification response time; and then gradually increasing the communication link bandwidth between the power grid architecture and the bidirectional reactive power adjustment device until the verification response time is lower than the adjustment response time threshold.

[0067] Specifically, the verification command refers to the analog control command with the same power level and direction as the initial reactive power regulation, used to retest the action response speed of the bidirectional reactive power regulator. Verification response time refers to the entire time interval from the moment the verification command is issued by the Dianhong architecture to the moment the bidirectional reactive power regulator fully receives the command and completes the corresponding reactive power regulation action; it is used to quantify and statistically analyze the overall delay of communication transmission and equipment execution. Communication link bandwidth refers to the transmission rate and communication throughput capacity of the data interaction channel between the Dianhong architecture and the bidirectional reactive power regulator. The lower the bandwidth, the higher the data command transmission delay and the more obvious the command interaction stutter. Gradually increasing the communication link bandwidth can reduce signal transmission delay and shorten command transmission and reception time, thus solving the regulation response timeout problem from the communication level.

[0068] In this embodiment, if the failure to meet the standard is due to a slow response speed, a verification control command with the same magnitude and direction as the initial reactive power adjustment value is first generated, sent to the bidirectional reactive power regulator, and executed. Simultaneously, the response time of this verification command is monitored in real time to determine the communication and equipment action delay. Based on this, the communication link bandwidth between the Dianhong architecture and the bidirectional reactive power regulator is gradually optimized and increased to reduce data transmission latency and signal interaction loss. The response time is continuously verified in a loop until the verification response time is consistently lower than the preset adjustment response time threshold. This completes the communication link optimization and rectification, resolving the adjustment response lag problem from the underlying communication level and ensuring the rapid and stable execution of subsequent reactive power control commands.

[0069] Based on the above embodiments, optionally, after performing closed-loop secondary regulation according to the reason for non-compliance, the method further includes: determining whether the closed-loop secondary regulation meets the standard based on the node voltage offset and node reactive power of the edge node re-acquired after the closed-loop secondary regulation; if the closed-loop secondary regulation meets the standard, then the complete data sequence including the node voltage offset, node reactive power and regulation index of the entire process of preliminary regulation and closed-loop secondary regulation is added to the historical power compensation database; otherwise, a regulation failure signal is issued.

[0070] In this embodiment, the effect of the secondary regulation is verified by re-sampling the node voltage offset and reactive power after the closed-loop secondary regulation is completed. When the secondary regulation meets the target, the complete regulation data is entered into the historical power compensation database to continuously enrich the sample data and optimize subsequent control parameters. If the target is still not met, a regulation failure signal is sent in a timely manner to facilitate timely intervention by operation and maintenance personnel. This embodiment improves the complete control closed loop of multi-level regulation and multi-layer verification, and can accurately report regulation failure faults, effectively improving the closed-loop performance, adaptability, and operational reliability of reactive power compensation regulation.

[0071] The technical solution of this application embodiment relies on the data storage and computing capabilities of the Dianhong architecture to construct an integrated reactive power compensation control system with hierarchical adjustment, step-by-step verification, and categorized rectification. First, by analyzing the coupling relationship between reactive power deficit, reactive power surplus, and voltage deviation, the operating status of edge nodes is determined. Forward coordinated voltage regulation and reverse correction control are executed respectively, and alarms are issued simultaneously for abnormal operating conditions, effectively avoiding voltage over-limit problems caused by blind voltage regulation, while enhancing the abnormal perception capability of the power grid operation. Second, the initial adjustment effect is jointly judged from three dimensions: voltage deviation degree, reactive power adjustment parameters, and response speed, avoiding the one-sidedness of single-indicator evaluation. Third, a progressive investigation mechanism is adopted to locate the causes of non-compliance such as voltage deviation, parameter deviation, and response lag according to priority, simplifying the calculation logic and achieving rapid and accurate problem identification. Finally, differentiated closed-loop secondary optimization strategies are matched for different defect types. Through gradual voltage correction, reactive power parameter fine-tuning, and communication link latency reduction, adjustment defects are comprehensively corrected, effectively ensuring the overall stability and control accuracy of reactive power compensation regulation. In summary, the embodiments of this application rely on the Dianhong architecture to achieve differentiated control under multiple operating conditions and joint verification of multiple indicators, which can quickly locate adjustment defects and perform closed-loop optimization, effectively improving the control accuracy, response efficiency and grid operation stability of reactive power compensation.

[0072] Figure 3 This is a schematic diagram of a reactive power compensation intelligent control system based on Dianhong, provided as an embodiment of this application. This embodiment is applicable to local reactive power balance control scenarios at the edge nodes of a distribution network. The Dianhong-based reactive power compensation intelligent control system can be housed within a control module of the Dianhong architecture, and this control module can be implemented in hardware and / or software. Figure 3 As shown, the reactive power compensation intelligent control system based on Dianhong includes:

[0073] The signal acquisition and parameter extraction module 310 is used to acquire voltage and current signals of edge nodes of the distribution network, and extract the node voltage offset and node reactive power of the edge nodes based on the voltage and current signals.

[0074] The preliminary adjustment module 320 is used to control the bidirectional reactive power regulation device to perform preliminary adjustment on the edge nodes based on the joint judgment result of node voltage offset and node reactive power, and to record the control indicators of the preliminary adjustment. The preliminary adjustment includes injecting reactive power or absorbing reactive power, and the control indicators include reactive power adjustment value and adjustment response time.

[0075] The preliminary adjustment compliance judgment module 330 is used to determine whether the preliminary adjustment has met the standards based on the node voltage offset and control indicators after the preliminary adjustment.

[0076] The cause localization and closed-loop secondary adjustment module 340 is used to locate the cause of non-compliance when the initial adjustment fails to meet the target, based on the node voltage deviation and control indicators after the initial adjustment, and to perform closed-loop secondary adjustment based on the cause of non-compliance. The causes of non-compliance include uncorrected voltage deviation, reactive power regulation parameter deviation, and excessively slow response speed.

[0077] Based on the above embodiments, continue to refer to Figure 3 Optionally, the reactive power compensation intelligent control system based on Dianhong also includes:

[0078] The closed-loop verification and data entry module 350 is used to determine whether the closed-loop secondary regulation meets the standard based on the node voltage offset and node reactive power of the edge nodes re-acquired after the closed-loop secondary regulation. If the closed-loop secondary regulation meets the standard, the complete data sequence containing the node voltage offset, node reactive power and regulation index of the entire process of the initial regulation and the closed-loop secondary regulation is added to the historical power compensation database; otherwise, a regulation failure signal is issued.

[0079] The reactive power compensation intelligent control system based on Dianhong provided in the embodiments of this application can execute the reactive power compensation intelligent control method based on Dianhong provided in any embodiment of this application, and has the corresponding functional modules and beneficial effects of the execution method.

[0080] It should be noted that, in this document, the terms "comprising," "including," and any other variations are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Specific examples have been used in this document to illustrate the principles and implementation methods of the technical solutions of this application. The above examples are only for the purpose of helping to understand the methods and core ideas of this application. The above descriptions are merely preferred embodiments of this application. It should be pointed out that, due to the limitations of written expression and the objective existence of infinite specific structures, those skilled in the art can make several improvements, modifications, or changes without departing from the principles of this application, and can also combine the above technical features in an appropriate manner; these improvements, modifications, changes, or combinations, or the direct application of the concept and technical solutions of this application to other situations without modification, should all be considered within the scope of protection of this application.

Claims

1. A method for intelligent control of reactive power compensation based on electric current, characterized in that, include: The voltage and current signals of the edge nodes of the distribution network are acquired, and the node voltage offset and node reactive power of the edge nodes are extracted based on the voltage and current signals. Based on the joint determination result of the node voltage offset and the node reactive power, the bidirectional reactive power regulation device is controlled to perform preliminary regulation on the edge node, and the regulation index of the preliminary regulation is recorded; wherein, the preliminary regulation includes injecting reactive power or absorbing reactive power, and the regulation index includes reactive power regulation value and regulation response time; Based on the node voltage offset after the initial adjustment and the control index, it is determined whether the initial adjustment has met the target. If the initial adjustment fails to meet the target, the cause of the failure is located based on the node voltage offset after the initial adjustment and the control index, and a closed-loop secondary adjustment is performed based on the cause of the failure; wherein, the cause of the failure includes uncorrected voltage offset, reactive power adjustment parameter deviation, and slow response speed; The method of controlling the bidirectional reactive power regulation device to perform preliminary adjustment on the edge node based on the joint determination result of the node voltage offset and the node reactive power includes: Determine whether the edge node has a reactive power deficit or a reactive power surplus based on the reactive power of the node; If the edge node has a reactive power deficit and the node voltage offset is negative, then the bidirectional reactive power regulation device is controlled to inject reactive power into the edge node to raise the voltage. If the edge node has a reactive power surplus and the node voltage offset is positive, then the bidirectional reactive power regulation device is controlled to absorb the reactive power of the edge node to reduce the voltage. The step of determining whether the preliminary adjustment has met the target based on the node voltage offset after the initial adjustment and the control index includes: Based on the historical data storage module of the Dianhong architecture, the system calls upon the historical power compensation database and, in conjunction with the historical power compensation database, sets the node voltage offset range, reactive power adjustment range, and adjustment response time threshold. Specifically, the node voltage offset range is determined jointly based on the grid's rated voltage and historical voltage fluctuation data in the historical power compensation database; the reactive power adjustment range is determined based on the maximum reactive power deficit and maximum reactive power surplus recorded in the historical power compensation database during the operation of the edge node, combined with the rated operating capacity of the bidirectional reactive power adjustment device; and the adjustment response time threshold is determined based on the action response time of the bidirectional reactive power adjustment device executing control commands, as recorded in the historical power compensation database. If the node voltage offset after the initial adjustment is within the node voltage offset range, the reactive power adjustment value is within the reactive power adjustment range, and the adjustment response time is lower than the adjustment response time threshold, then the initial adjustment is deemed to have met the standard. Otherwise, the preliminary adjustment is deemed unsatisfactory.

2. The method of claim 1, wherein the method is a method of intelligent control of reactive power compensation based on electric arc. The process of acquiring voltage and current signals of distribution network edge nodes, and extracting node voltage offset and node reactive power of the edge nodes based on the voltage and current signals, includes: The voltage and current signals are acquired by a voltage and current composite sensor array set at the edge node of the power distribution network, and the voltage and current signals are denoised by a first-order recursive time-domain filtering algorithm. The node voltage offset is determined based on the denoised voltage signal, using the rated voltage of the power distribution network as a reference. The reactive power of the node is determined based on the amplitude and phase relationship of the denoised voltage signal and the denoised current signal.

3. The intelligent reactive power compensation control method based on Dianhong according to claim 1, characterized in that, The method of controlling the bidirectional reactive power regulation device to perform preliminary adjustment on the edge node based on the joint determination result of the node voltage offset and the node reactive power also includes: If the edge node has a reactive power deficit and the node voltage offset is positive, the bidirectional reactive power regulation device is controlled to absorb reactive power to reduce the voltage and issue an alarm signal. If the edge node has a reactive power surplus and the node voltage offset is negative, the bidirectional reactive power regulation device is controlled to inject reactive power to raise the voltage and issue the alarm signal.

4. The intelligent reactive power compensation control method based on Dianhong according to claim 1, characterized in that, The step of locating the reasons for non-compliance based on the pre-adjusted node voltage offset and the control indicators includes: If the node voltage offset after the initial adjustment is not within the node voltage offset range, then the reason for the failure to meet the standard is determined to be that the voltage offset has not been corrected. If the reactive power adjustment value is not within the reactive power adjustment range, then the reason for the failure to meet the standard is determined to be the deviation of the reactive power adjustment parameter; If the adjustment response time is not lower than the adjustment response time threshold, then the reason for not meeting the standard is determined to be that the response speed is too slow.

5. The reactive power compensation intelligent control method based on Dianhong according to claim 4, characterized in that, The step of performing closed-loop secondary adjustment based on the reasons for non-compliance includes: If the reason for failure to meet the standard is that the voltage deviation has not been corrected, then based on the node voltage deviation after the initial adjustment, the bidirectional reactive power regulation device is controlled to gradually inject reactive power or absorb reactive power until the node voltage deviation falls within the node voltage deviation range. If the reason for failure to meet the standard is the deviation of the reactive power adjustment parameter, then the voltage fine-tuning range is set according to the voltage offset range, and the reactive power adjustment deviation between the reactive power adjustment value and the median of the reactive power adjustment range is calculated. Based on the reactive power adjustment deviation and the voltage fine-tuning range, the reactive power fine-tuning amount is determined, and the bidirectional reactive power adjustment device is controlled to inject reactive power into the edge node or absorb reactive power according to the reactive power fine-tuning amount. If the reason for failure to meet the standard is that the response speed is too slow, a verification command of the same magnitude and direction as the initial reactive power adjustment value is generated, the bidirectional reactive power adjustment device is controlled to execute the verification command and monitor the verification response time; then the communication link bandwidth between the power grid architecture and the bidirectional reactive power adjustment device is gradually increased until the verification response time is lower than the adjustment response time threshold.

6. The intelligent reactive power compensation control method based on Dianhong according to claim 1, characterized in that, After performing closed-loop secondary adjustment based on the reasons for non-compliance, the method further includes: Based on the node voltage offset and node reactive power of the edge node re-acquired after the closed-loop secondary adjustment, it is determined whether the closed-loop secondary adjustment meets the standard. If the closed-loop secondary regulation meets the target, the complete data sequence of the node voltage offset, the node reactive power, and the regulation index, which includes the entire process of the initial regulation and the closed-loop secondary regulation, will be added to the historical power compensation database; otherwise, a regulation failure signal will be issued.

7. A reactive power compensation intelligent control system based on Dianhong, used to implement the reactive power compensation intelligent control method based on Dianhong as described in any one of claims 1 to 6, characterized in that, include: The signal acquisition and parameter extraction module is used to acquire voltage and current signals of the edge nodes of the distribution network, and extract the node voltage offset and node reactive power of the edge nodes based on the voltage and current signals. The preliminary adjustment module is used to control the bidirectional reactive power adjustment device to perform preliminary adjustment on the edge node based on the joint determination result of the node voltage offset and the node reactive power, and to record the control index of the preliminary adjustment; wherein, the preliminary adjustment includes injecting reactive power or absorbing reactive power, and the control index includes reactive power adjustment value and adjustment response time; The preliminary adjustment compliance determination module is used to determine whether the preliminary adjustment meets the standard based on the node voltage offset after the preliminary adjustment and the control index. The cause localization and closed-loop secondary adjustment module is used to locate the cause of non-compliance when the initial adjustment fails to meet the standard, based on the node voltage offset after the initial adjustment and the control index, and to perform closed-loop secondary adjustment based on the cause of non-compliance; wherein, the cause of non-compliance includes uncorrected voltage offset, reactive power adjustment parameter deviation, and slow response speed.

8. The intelligent reactive power compensation control system based on Dianhong according to claim 7, characterized in that, Also includes: The closed-loop verification and data entry module is used to determine whether the closed-loop secondary adjustment meets the standard based on the node voltage offset and node reactive power of the edge node re-acquired after the closed-loop secondary adjustment; if the closed-loop secondary adjustment meets the standard, the complete data sequence of the node voltage offset, node reactive power and the control index, including the entire process of the initial adjustment and the closed-loop secondary adjustment, is added to the historical power compensation database; otherwise, an adjustment failure signal is issued.

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