Hybrid reactive compensation method and device for JP cabinet

Abstract

The invention provides a hybrid reactive compensation method and device for a JP cabinet. According to the method, power grid load information and transformer capacity information are collected in real time, an enhanced static var generator (ASVG) and an intelligent capacitor bank are combined, and reactive power compensation and harmonic suppression are refined. Through the coordination work of the communication interface module, the ASVG and the intelligent capacitor bank, the compensation proportion is adjusted in real time so as to cope with the power grid load fluctuation. And the control module generates a compensation instruction according to the power grid load information and dynamically optimizes a compensation strategy through a feedback mechanism. Feedback data comprises a power factor, harmonic content, three-phase voltage unbalance and the like, and it is ensured that the system has efficient and accurate compensation capacity when the load changes. The technical scheme can improve electric energy quality, reduce loss, improve power grid stability and power supply reliability, and is suitable for reactive compensation requirements in a complex power grid environment.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power systems, in particular to a hybrid reactive power compensation method and device for JP cabinets, used for power grid reactive power compensation and harmonic control. BACKGROUND

[0002] In modern power systems, reactive power compensation and harmonic control are important technologies to ensure grid stability and power quality. Traditional reactive power compensation methods mostly use fixed compensation equipment or single type equipment, such as capacitor banks and static var generators (SVG), but these methods face problems such as inability to respond to grid load fluctuations, slow response speed, and imperfect harmonic control. Especially in environments with frequent load fluctuations or high harmonic content, traditional technology cannot meet the demand for fast response and accurate compensation.

[0003] In recent years, with the diversification of power loads and the complexity of grid operation modes, single compensation equipment has been unable to effectively solve all the needs of reactive power and harmonic control. In order to improve compensation accuracy and reduce equipment cost, hybrid compensation schemes have emerged. This scheme combines the advantages of static var generators and intelligent capacitor banks, uses dynamic adjustment, combines real-time load information and transformer capacity, and flexibly controls the compensation ratio, thereby achieving efficient and accurate reactive power compensation and harmonic control.

[0004] However, existing hybrid reactive power compensation methods still have some technical problems, such as: how to dynamically adjust the working ratio between different compensation equipment according to the real-time changes of grid load, how to ensure fast response and accurate compensation in complex grid environments, and how to optimize compensation strategies through collaborative control between devices, which need to be solved.

[0005] The present application solves the above problems by introducing an adaptive control algorithm and feedback mechanism, and proposes a new hybrid reactive power compensation method and device that can better respond to grid load fluctuations and improve power quality and power supply stability. SUMMARY

[0006] The present application provides a hybrid reactive power compensation method and device for JP cabinets, aiming to solve the problem that traditional reactive power compensation methods and harmonic control schemes cannot quickly respond and accurately compensate when the grid load fluctuates greatly or the harmonic content is high.

[0007] In a first aspect, the present application provides a hybrid reactive power compensation method for JP cabinets, comprising the following steps: Obtain grid load information and transformer capacity information, the grid load information including reactive power demand and harmonic data; The application discloses an enhanced static var generator (ASVG) and an intelligent capacitor bank, wherein the ASVG is used for fine reactive power compensation and harmonic control, and the intelligent capacitor bank is used for large-capacity reactive power compensation. Data transmission between the ASVG and the intelligent capacitor bank is realized through a communication interface, and the data transmission is used for coordinating compensation strategies. According to the power grid load information, the compensation modes of the ASVG and the intelligent capacitor bank are adjusted, and the compensation modes include common compensation, separate compensation and mixed compensation.

[0008] Further, the ASVG and the intelligent capacitor bank are configured as follows: According to the transformer capacity information, the reactive power compensation capacity is determined, and the reactive power compensation capacity is provided by the ASVG and the intelligent capacitor bank together. The capacity of the ASVG is configured as a preset value, and the preset value is set according to transformer capacity grading. The capacity of the intelligent capacitor bank is configured, and the capacity of the intelligent capacitor bank is determined according to a difference between the reactive power compensation capacity and the capacity of the ASVG. Through a control module, operation parameters of the ASVG and the intelligent capacitor bank are set, and the operation parameters include switching time and compensation accuracy.

[0009] Further, the data transmission between the ASVG and the intelligent capacitor bank through the communication interface comprises the following steps: The power grid load information is acquired, and the power grid load information is transmitted to an M1 control module through a background communication module. The power grid load information is transmitted to the ASVG and the intelligent capacitor bank through an RS485 communication interface. The M1 control module generates a compensation instruction according to the power grid load information, and the compensation instruction is used for controlling operation states of the ASVG and the intelligent capacitor bank. The ASVG and the intelligent capacitor bank adjust output power according to the compensation instruction, and the output power is used for realizing fast response and accurate compensation.

[0010] Further, the compensation proportion dynamic adjustment between the ASVG and the intelligent capacitor bank through the adaptive control algorithm comprises the following steps: When the power grid load information changes, the output power proportion of the ASVG and the intelligent capacitor bank is automatically adjusted based on reactive power demand, harmonic data and three-phase unbalance data. The control module generates a new compensation instruction according to real-time power grid load data and equipment state feedback, and the new compensation instruction is sent to the ASVG and the intelligent capacitor bank through a communication interface. The feedback mechanism is used to collect the actual compensation effect data of the device after each compensation, and the feedback data includes the power factor, harmonic content, three-phase voltage imbalance, etc. of the power grid, which is transmitted to the control module to optimize the subsequent compensation instruction; The optimization process includes adjusting the compensation accuracy of the ASVG or the switching capacity of the intelligent capacitor bank according to the feedback data, to ensure the flexibility and responsiveness of the compensation process.

[0011] Further, the compensation mode of the ASVG and the intelligent capacitor bank according to the power grid load information includes: Obtain the reactive power demand and three-phase imbalance data in the power grid load information; Determine the target compensation mode according to the reactive power demand, which includes common compensation, separate compensation or mixed compensation; For the common compensation mode, control the ASVG and the intelligent capacitor bank to output reactive power at the same time; For the separate compensation mode, control the ASVG and the intelligent capacitor bank to compensate the reactive power of different phases respectively; For the mixed compensation mode, coordinate the output ratio of the ASVG and the intelligent capacitor bank, and the output ratio is dynamically adjusted according to the three-phase imbalance data.

[0012] Further, the output compensation result includes: Display the compensation result on the LCD display screen, which includes the reactive power compensation amount and harmonic control data; Obtain the running state of the ASVG and the intelligent capacitor bank, which includes the switching state and the output power; Transmit the running state to the background communication module, which is used to record the power quality data of the power grid; Adjust the control parameters in the JP cabinet according to the compensation result, which is used to optimize the subsequent compensation strategy.

[0013] Further, the capacity of the intelligent capacitor bank is configured, including: Obtain the capacity range of the self-healing capacitor or split capacitor in the intelligent capacitor bank; Determine the combination mode of the self-healing capacitor or the split capacitor according to the reactive compensation capacity; Control the switching state of the self-healing capacitor or the split capacitor through the composite switch or thyristor switching device; Record the switching state and transmit it to the M1 control module, which is used to dynamically adjust the compensation capacity.

[0014] Further, the transmission of the grid load information to the ASVG and the intelligent capacitor bank through the RS485 communication interface comprises: configuring a transmission protocol of the RS485 communication interface, the transmission protocol being used to ensure stability of data transmission; obtaining real-time harmonic data and reactive power demand in the grid load information; transmitting the real-time harmonic data to the ASVG, the ASVG adjusting harmonic control parameters according to the real-time harmonic data; transmitting the reactive power demand to the intelligent capacitor bank, the intelligent capacitor bank adjusting output capacity according to the reactive power demand.

[0015] In a second aspect, the application further provides a hybrid reactive power compensation device for a JP cabinet, which is used to implement the hybrid reactive power compensation method, and comprises: a grid load information acquisition module, which is used to acquire grid load information in real time, the grid load information comprising reactive power demand, harmonic data and three-phase imbalance data; a transformer capacity information acquisition module, which is used to acquire capacity information of a transformer connected to the grid; an enhanced static reactive power generator module, which is used for fine reactive power compensation and harmonic control; an intelligent capacitor bank module, which is used to provide large-capacity reactive power compensation; a communication interface module, which is used to connect the ASVG module and the intelligent capacitor bank module, and perform bidirectional transmission of grid load information and device state data; a control module, which is used to generate compensation instructions according to the grid load information and the transformer capacity information, the compensation instructions being used to control operating states of the ASVG module and the intelligent capacitor bank module, and the control module further adjusting the compensation instructions based on feedback data of the devices; a feedback data receiving module, which is used to receive compensation effect feedback data of the ASVG module and the intelligent capacitor bank module, the feedback data comprising power factor, harmonic content and three-phase voltage imbalance, and the feedback data being used to optimize subsequent compensation strategies.

[0016] The technical scheme provided by the embodiments of the application can have the following beneficial effects: By introducing an adaptive control algorithm, the output proportion of the compensation devices (ASVG and intelligent capacitor bank) is dynamically adjusted according to real-time grid load data, so that higher-precision reactive power compensation is achieved. This fine compensation can reduce overcompensation or insufficient compensation, and ensure stable operation of the grid under different load conditions.

[0017] 2. The ASVG module finely manages harmonics, effectively reduces the harmonic content in the power grid, improves power quality, and reduces equipment wear and energy waste caused by harmonics.

[0018] 3. The combination of real-time feedback mechanism and adaptive control enables the compensation system to quickly respond to changes in power grid load or harmonic content, and adjust the compensation strategy according to real-time data, significantly improving the response speed and flexibility of the system.

[0019] 4. Through the coordinated work of ASVG and intelligent capacitor bank, the problem of single device unable to cope with complex power grid load fluctuation is avoided. Intelligent capacitor bank provides support under large capacity compensation demand, and ASVG plays a role in fine compensation and harmonic management. The dynamic cooperation of the two ensures the optimal operation of the system.

[0020] 5. The technical scheme avoids overcompensation by reasonably configuring the capacity of ASVG and intelligent capacitor bank, reduces unnecessary energy loss, and reduces the over-reliance on single devices due to device coordination, thereby effectively reducing the overall equipment cost. BRIEF DESCRIPTION OF DRAWINGS

[0021] Figure 1 The principle block diagram of the hybrid reactive power compensation method for JP cabinet of the present application.

[0022] Figure 2 Another product installation effect diagram of the present application.

[0023] Figure 3 Another product installation effect diagram of the present application.

[0024] Figure 4 Another product installation effect diagram of the present application. DETAILED DESCRIPTION

[0025] In order for those skilled in the art to better understand the technical solutions in the specification, the technical solutions in the specification will be described clearly and completely in the following with reference to the drawings in the specification. Obviously, the described embodiments are only part of the embodiments of the specification, not all. Based on the embodiments in the specification, all other embodiments obtained by those skilled in the art without creative labor shall fall within the scope of protection of the specification.

[0026] As Figure 1 , the hybrid reactive power compensation method for JP cabinet of the present application can specifically include: A hybrid reactive power compensation method for JP cabinet, characterized in that it comprises the following steps: Step S1, obtaining power grid load information and transformer capacity information, the power grid load information including reactive power demand and harmonic data.

[0027] In particular, the step S1 of the present application involves obtaining power grid load information and transformer capacity information, wherein the power grid load information includes reactive power demand and harmonic data. This process first collects the load data of the power grid in real time through sensors or power analyzers installed in the power grid. The load information includes reactive power demand, which reflects the current gap of reactive power in the power grid, and harmonic data, which describes the degree of voltage and current waveform distortion caused by nonlinear loads in the power grid.

[0028] The reactive power demand is obtained by calculating the power factor of each node in the power grid, combined with the voltage and current data of the system, to determine the amount of reactive power compensation required by the power grid. The harmonic data is measured by harmonic analysis instruments to measure the frequency spectrum of current and voltage signals in the power grid, and to analyze the harmonic components of different frequencies in the power grid. These harmonic components will serve as basic data for subsequent harmonic control, used to evaluate the degree of harmonic pollution in the power grid.

[0029] The transformer capacity information is obtained through the specification parameters or monitoring equipment of the transformer, representing the maximum processing capacity of the transformer, especially its reactive power support capability under different load conditions. This information helps to reasonably configure the capacity of ASVG and intelligent capacitor banks in the subsequent compensation scheme, ensuring the adaptability of the equipment and the accuracy of the compensation when the power grid load changes.

[0030] These data will be transmitted to the control module through the communication interface, and the control module will analyze the power grid load information and the capacity information of the transformer to determine the appropriate reactive compensation capacity and develop a compensation strategy. Through a comprehensive understanding of the load state of the power grid, the system can adjust the compensation ratio of ASVG and intelligent capacitor banks in real time to avoid overcompensation or undercompensation, ensuring the stable operation of the power grid and the power quality. This embodiment provides real-time and accurate reference for subsequent compensation control by considering the reactive power demand and harmonic data, effectively avoiding the problems of system instability and low compensation efficiency caused by the lack of timely response to changes in power grid load in traditional compensation methods.

[0031] Step S2, configuring enhanced static reactive power generator ASVG and intelligent capacitor bank, the ASVG being used for fine reactive power compensation and harmonic control, and the intelligent capacitor bank being used for large-capacity reactive power compensation.

[0032] The core of step S2 of the present invention is the configuration of an enhanced static VAR generator (ASVG) and an intelligent capacitor bank to achieve reactive power compensation and harmonic control in the power grid. Specifically, the ASVG is primarily used for precise reactive power compensation and harmonic control. It dynamically adjusts the output of power electronics to precisely control reactive power compensation accuracy. Especially in situations of large grid load fluctuations or high harmonic content, the ASVG can respond quickly, providing highly accurate reactive power compensation and harmonic control. The ASVG module's control system adjusts the compensation strategy in real time based on grid load data and harmonic monitoring results to ensure optimal power factor and suppress harmonics, ensuring stable system operation.

[0033] Smart capacitor banks are primarily used to provide high-capacity reactive power compensation. They achieve significant reactive power compensation by automatically switching capacitor banks. When the grid load fluctuates significantly, the smart capacitor banks can quickly operate, providing high-capacity reactive power support and helping the grid maintain stable operation. The capacity of the smart capacitor banks is configured based on grid load and transformer capacity information, combined with the refined compensation results of the ASVG, to ensure that the total reactive power compensation meets the grid's needs while avoiding overcompensation or energy waste.

[0034] The ASVG and smart capacitor bank coordinate control via a communication interface module. When grid load fluctuates or harmonic data changes, the compensation ratio can be dynamically adjusted, ensuring flexibility in the compensation strategy and rapid system response. This control process is based on real-time feedback from grid load data. Based on this feedback, the system continuously optimizes the operating parameters of the ASVG and smart capacitor bank to ensure compensation accuracy and power quality. This configuration addresses the technical bottleneck of traditional compensation systems, which are unable to cope with complex grid loads and harmonic pollution. While ensuring stable grid operation, it also improves compensation efficiency and reduces energy loss. For example, when a grid load rapidly increases, the smart capacitor bank can quickly provide a large amount of reactive power, while the ASVG adjusts its output power based on the grid's harmonic data, ensuring compensation accuracy, avoiding overcompensation, and effectively controlling harmonics. Through this collaborative operation, the system maintains grid stability while improving power quality, reducing equipment losses, and reducing energy waste.

[0035] Step S3: implementing data transmission between the ASVG and the smart capacitor bank through a communication interface, wherein the data transmission is used to coordinate compensation strategies.

[0036] The step S3 realizes data transmission between the ASVG and the intelligent capacitor bank through a communication interface, which is used to coordinate the compensation strategy. The grid load information, reactive power demand, and harmonic data are collected in real time by the grid monitoring device and transmitted to the ASVG and the intelligent capacitor bank. This data transmission is realized through an RS485 communication interface, which ensures that the data can be stably and quickly transmitted between different devices, ensuring real-time and accuracy. The ASVG and the intelligent capacitor bank receive and send compensation instructions in real time through this communication interface, automatically adjust their compensation capacity, coordinate work, and meet the grid's reactive power demand and harmonic control requirements. The communication interface ensures that the output ratio of the two compensation devices can be dynamically adjusted according to the changes in the grid load during the coordination process. Specifically, the changes in the grid load include fluctuations in the reactive power demand and harmonic content, which will affect the execution of the compensation strategy. Through continuous data transmission and feedback, the coordination mechanism between the ASVG and the intelligent capacitor bank can achieve precise cooperation of the compensation devices, thereby avoiding over-compensation or insufficient compensation.

[0037] For example, when the grid load suddenly increases, resulting in a sharp increase in the demand for reactive power, the intelligent capacitor bank first invests a large amount of reactive power compensation, and at the same time, the ASVG adjusts its output according to the real-time harmonic data to ensure that the harmonic level is effectively controlled. In this process, data transmission ensures that both can adjust their output power ratio in real time according to the load state of the grid, thereby realizing fast response and precise compensation, optimizing power quality and grid stability. This embodiment solves the technical problem of the traditional compensation method that cannot quickly respond and accurately compensate for grid fluctuations. Through the real-time transmission and feedback mechanism of data, the compensation strategy can be dynamically adjusted according to the actual demand of the grid, making the system have stronger adaptability and higher efficiency.

[0038] Step S4, adjusting the compensation mode of the ASVG and the intelligent capacitor bank according to the grid load information, the compensation mode including common compensation, separate compensation, and mixed compensation.

[0039] In step S4, the grid load information is used to adjust the compensation mode of the ASVG and the intelligent capacitor bank, including common compensation, separate compensation and mixed compensation. By collecting real-time grid load information, including reactive power demand, harmonic data and three-phase imbalance data, the system determines the appropriate compensation mode based on this information. Specifically, when the grid load information shows that the reactive power demand is relatively balanced and the harmonics are low, the system will choose the common compensation mode, that is, the ASVG and the intelligent capacitor bank provide reactive power compensation at the same time, so as to balance the power factor of the grid. If there is obvious three-phase imbalance or heavy load in some phase, the system may choose the separate compensation mode, in which the ASVG is responsible for compensating the reactive power of the unbalanced phase, and the intelligent capacitor bank is responsible for the compensation of other phases, so as to optimize the operation state of the grid. In the case of large grid load fluctuation and high harmonic content, the system will adopt the mixed compensation mode, the ASVG will fine compensation and suppress harmonics, and the intelligent capacitor bank will provide large-capacity reactive power compensation, and the two will dynamically adjust the compensation ratio according to the demand of the grid.

[0040] The key of this process is to transmit the grid load information to the control module through the communication interface, and the control module adjusts the working state of the ASVG and the intelligent capacitor bank in real time according to these data. During data transmission, the feedback mechanism ensures that the device output can be adjusted according to the actual load change and harmonic level. When the grid load fluctuates greatly or the harmonic pollution is serious, the system can automatically switch to the compensation mode with strong adaptability, so as to ensure that the grid is always in the best operating state and avoid the problems caused by over-compensation or insufficient compensation.

[0041] For example, assuming that the grid load fluctuates greatly, the system detects three-phase imbalance through monitoring load information, and then automatically switches to the separate compensation mode, the ASVG handles the unbalanced phase, and the intelligent capacitor bank handles the reactive compensation of other phases. In this way, the system can ensure that the compensation strategy is flexible and efficient, and avoid the decline of power quality caused by the inability of a single device to cope with load fluctuations. Through this mechanism, the grid not only can maintain stable operation, but also can significantly improve system efficiency, reduce equipment wear and energy waste, and improve power quality.

[0042] As a preferred technical solution of the present application, the configuration of the enhanced static var generator ASVG and the intelligent capacitor bank includes: determining the reactive power compensation capacity according to the transformer capacity information, the reactive power compensation capacity being provided by the ASVG and the intelligent capacitor bank; configuring the capacity of the ASVG as a preset value, the preset value being set according to the transformer capacity classification; configuring the capacity of the intelligent capacitor bank, the capacity of the intelligent capacitor bank being determined according to the difference between the reactive power compensation capacity and the capacity of the ASVG; setting the operating parameters of the ASVG and the intelligent capacitor bank through the control module, the operating parameters including switching time and compensation accuracy.

[0043] Specifically, in the present application, the process of configuring the enhanced static var generator (ASVG) and the intelligent capacitor bank in step S2 is crucial in reasonably configuring the capacity of each compensation device to ensure that they provide accurate and efficient reactive power compensation when working together. Specifically, first, the required reactive power compensation capacity is determined according to the capacity information of the transformer. This capacity calculation is based on the rated power of the transformer and the load characteristics of the power grid, especially the changes in reactive power demand under different load conditions. This calculation result provides the basis for determining the cooperative working capacity of ASVG and the intelligent capacitor bank.

[0044] In the capacity configuration process, the capacity of ASVG is set to a preset value, which is set according to the capacity of the transformer. For example, the larger the capacity of the transformer, the larger the preset capacity value of ASVG, to adapt to the demand for reactive power compensation when the grid load increases. This preset value ensures that ASVG can still provide efficient and accurate compensation when the grid load fluctuates greatly, especially in the case of rapid changes in grid load demand, ASVG can quickly respond and fine-tune compensation.

[0045] Next, the capacity of the intelligent capacitor bank is determined according to the difference between the reactive power compensation capacity and the capacity of ASVG. Specifically, the capacity of the intelligent capacitor bank should supplement the amount of reactive power compensation that ASVG cannot fully provide, to ensure that the total reactive power compensation of the grid can be met under any load condition. In this way, the capacities of ASVG and the intelligent capacitor bank are reasonably allocated, ensuring that they can work together under different load conditions, avoiding the phenomenon of resource waste or insufficient compensation.

[0046] In addition, the control module is used to set the operating parameters of ASVG and the intelligent capacitor bank according to the grid load information and device configuration, especially the switching time and compensation accuracy. The switching time refers to the response time of the intelligent capacitor bank to put in or disconnect the compensation device, and the system dynamically adjusts this time according to the changes in the grid load, to ensure that the compensation device can respond in time when the grid load changes rapidly, avoiding the instability of the grid due to excessive fluctuations in reactive power. Compensation accuracy is closely related to the adjustment capability of ASVG and the intelligent capacitor bank, and the system adjusts the operating parameters to ensure that the compensation accuracy is always maintained at an optimal level that adapts to the actual load demand of the grid.

[0047] For example, when the grid load increases sharply, the smart capacitor bank can quickly put into larger capacity of reactive power compensation, and the ASVG adjusts the output power according to the harmonic data and fine reactive compensation demand, so as to realize fast response in cooperation and avoid the situation that a single device cannot effectively handle the grid load fluctuation. Through the flexible capacity configuration and dynamic adjustment mechanism, the present application solves the problems of slow response speed and low precision in the traditional reactive compensation system, and greatly improves the stability and power quality of the grid.

[0048] As a preferred technical solution of the present application, the data transmission between the ASVG and the smart capacitor bank through the communication interface comprises: acquiring the grid load information, the grid load information being transmitted to the M1 control module through a background communication module; transmitting the grid load information to the ASVG and the smart capacitor bank through an RS485 communication interface; the M1 control module generates compensation instructions according to the grid load information, the compensation instructions being used to control the operating state of the ASVG and the smart capacitor bank; the ASVG and the smart capacitor bank adjust the output power according to the compensation instructions, the output power being used to realize fast response and accurate compensation.

[0049] In this embodiment, the data transmission between the ASVG and the smart capacitor bank through the communication interface involves the acquisition and processing of grid load information, the generation of compensation instructions, and the adjustment of the operating state of the compensation device according to these instructions. First, the grid load information, including reactive power demand, harmonic data and three-phase imbalance data, is collected in real time by sensors and monitoring devices in the grid. The load information is transmitted to the M1 control module through a background communication module, and the M1 control module will process the data according to these load information to generate corresponding compensation instructions. The compensation instructions include the output power, adjustment strategy and other related operating parameters required by the ASVG and the smart capacitor bank. The compensation instructions are transmitted to the ASVG and the smart capacitor bank through the RS485 communication interface, ensuring that both can receive synchronous instructions and adjust their operating state.

[0050] The ASVG and the smart capacitor bank adjust their output power according to the received compensation instructions. The ASVG is responsible for providing fine reactive compensation and harmonic control, while the smart capacitor bank provides large-capacity reactive power compensation according to the grid load demand. This process enables the compensation device to be accurately adjusted according to the real-time grid load changes, ensuring that the power factor and power quality of the grid are optimized.

[0051] For example, when the grid load fluctuates, causing an increase in reactive power demand, the compensation instructions automatically adjust the output ratio of the ASVG and the intelligent capacitor bank. The intelligent capacitor bank responds quickly and provides large-capacity reactive power, while the ASVG performs fine compensation according to the grid harmonic data, ensuring the stability of the power quality of the grid. At the same time, the M1 control module adjusts the compensation strategy based on real-time feedback, further optimizing the compensation accuracy and response speed.

[0052] As a preferred technical solution of the present application, the adaptive control algorithm is used to dynamically adjust the compensation ratio between the ASVG and the intelligent capacitor bank. When the grid load information changes, the output power ratio of the ASVG and the intelligent capacitor bank is automatically adjusted based on the reactive power demand, harmonic data, and three-phase imbalance data. The control module generates new compensation instructions based on real-time grid load data and device state feedback, and sends them to the ASVG and the intelligent capacitor bank through a communication interface. The feedback mechanism collects the actual compensation effect data of the device after each compensation, including the grid power factor, harmonic content, and three-phase voltage imbalance, etc. The feedback data is transmitted to the control module to optimize the subsequent compensation instructions. The optimization process includes adjusting the compensation accuracy of the ASVG or the switching capacity of the intelligent capacitor bank based on the feedback data, to ensure the flexibility and responsiveness of the compensation process.

[0053] To solve the problem of how to reasonably balance the output ratio of the ASVG and the intelligent capacitor bank when the grid load fluctuates greatly in the current solution, an adaptive control algorithm and a feedback mechanism can be introduced to dynamically adjust the compensation output ratio between the two, thereby ensuring the flexibility, accuracy, and timeliness of the system response in the compensation process.

[0054] The implementation of the adaptive control algorithm is based on the real-time changes of the grid load information, including key parameters such as reactive power demand, harmonic data, and three-phase imbalance. In each control cycle, the system receives the load data from the grid in real time through a communication interface and transmits it to the M1 control module. The M1 control module not only receives these input data, but also analyzes the current state of the grid based on the previous compensation strategy to generate new compensation instructions. Specifically, after receiving the load information, the system first calculates the size and trend of the compensation demand, and adjusts the output ratio between the ASVG and the intelligent capacitor bank based on this. This ratio adjustment not only considers the real-time changes of the reactive power demand, but also takes into account factors such as the harmonic content of the grid and the three-phase load imbalance, to determine the appropriate compensation strategy.

[0055] For example, in the case of sudden increase in grid load, the smart capacitor bank will preferentially provide large-capacity reactive power compensation, while the ASVG continues to be responsible for fine compensation and harmonic management. In order to avoid over-compensation, the capacity output of the smart capacitor bank can be dynamically adjusted within a certain range, which is determined by the load demand, harmonic data and the degree of three-phase imbalance of the grid. If the grid load is in a light load or slow load change state, the ASVG can independently complete most of the reactive power compensation task, and the harmonic management is the priority, and the smart capacitor bank keeps low power output to avoid energy waste caused by over-compensation.

[0056] The key of the adaptive control algorithm is the dynamic adjustment of load information and the design of feedback mechanism. During system operation, load changes not only require the system to respond quickly, but also the system will feedback the current compensation result to the M1 control module after each adjustment. The M1 control module will further optimize the compensation instructions by analyzing the feedback data (such as power factor after compensation, harmonic content and three-phase voltage imbalance, etc.). The design of this feedback mechanism ensures that the system can sense the compensation effect in real time and adjust the compensation strategy according to the actual grid operating state. For example, when the compensation effect is not ideal (such as harmonic management not meeting the standard or power factor not reaching the predetermined value), the system will adjust the output ratio between ASVG and smart capacitor bank, improve the compensation accuracy or change the switching time to achieve more accurate compensation.

[0057] The effectiveness of the adaptive control algorithm lies in its ability to dynamically adjust the working ratio of different compensation devices according to the real-time changes of the grid state, avoiding over-compensation or under-compensation when the grid load changes dramatically. In addition, based on the feedback mechanism, the optimization adjustment can automatically adjust the device operating parameters after each compensation operation, further improving the stability and efficiency of the system. Through real-time data analysis, the system can gradually learn and optimize the compensation strategy, reducing the need for human intervention and improving the intelligence level of the system.

[0058] This optimization technical solution solves the problems existing in traditional reactive power compensation and harmonic management systems, such as compensation delay, response delay, over-compensation or under-compensation, etc. Through the adaptive algorithm, the system can accurately predict the grid load change and automatically adjust the compensation ratio. This dynamic adjustment capability greatly improves the stability of the grid operation, while avoiding the over-reliance on load fluctuations in the configuration of traditional compensation devices, reducing energy waste and cost.

[0059] For example, in practical applications, assume that there is a sudden increase in grid load, and the current rises rapidly, leading to rapid changes in load demand. Without an adaptive control algorithm, the traditional system may require manual intervention to adjust the output of the compensation equipment, while with the help of the adaptive control algorithm, the ASVG and intelligent capacitor bank can dynamically adjust the output power in real time, automatically improve the compensation accuracy, and quickly respond to load fluctuations, thereby effectively reducing energy loss and improving power quality.

[0060] Through this optimized embodiment, the severe fluctuations of the grid load are no longer a bottleneck for the system operation, but through precise real-time control, accurate compensation of reactive power and harmonics is achieved, further improving the efficiency and stability of the system. This flexible compensation capability not only adapts to common load fluctuations in grid operation, but also can cope with various demand changes in complex grid environments, improving the adaptability of the compensation equipment.

[0061] As a preferred technical solution of the present application, the compensation mode of the ASVG and the intelligent capacitor bank according to the grid load information comprises: Obtaining the reactive power demand and three-phase imbalance data in the grid load information; Determining the target compensation mode according to the reactive power demand, the target compensation mode including common compensation, separate compensation or mixed compensation; For the common compensation mode, controlling the ASVG and the intelligent capacitor bank to output reactive power at the same time; For the separate compensation mode, controlling the ASVG and the intelligent capacitor bank to compensate reactive power of different phases respectively; For the mixed compensation mode, coordinating the output ratio of the ASVG and the intelligent capacitor bank, the output ratio being dynamically adjusted according to the three-phase imbalance data.

[0062] Specifically, the process of adjusting the compensation mode of the ASVG and the intelligent capacitor bank according to the grid load information is crucial in dynamically adjusting the compensation strategy according to the real-time load condition of the grid and the reactive power demand of each phase of the grid. First, the system obtains the reactive power demand and three-phase imbalance data in the grid load information through real-time acquisition. These data are collected by monitoring equipment and sensors and transmitted to the control module. The reactive power demand provides the amount of reactive power that needs to be compensated in the grid, while the three-phase imbalance data reveals the imbalance of power distribution among each phase of the grid, indicating whether special compensation is needed for a certain phase.

[0063] According to the grid load information, the control module calculates the target compensation mode currently required by the grid, which is determined according to the size of the reactive power demand and the degree of three-phase voltage imbalance. The compensation mode mainly includes three modes of common compensation, separate compensation and mixed compensation. In the common compensation mode, the ASVG and the intelligent capacitor bank work together to output reactive power compensation. This mode is usually suitable for the case of uniform load and balanced three-phase voltage, and the compensation system can start both at the same time to quickly respond to the grid load changes and ensure the stable operation of the grid.

[0064] In the separate compensation mode, due to the imbalance of the grid load or voltage, the ASVG and the intelligent capacitor bank compensate the reactive power of different phases respectively. In this mode, the control module allocates the compensation tasks of each phase to the ASVG and the intelligent capacitor bank according to the three-phase imbalance data and the reactive power demand, ensuring that each phase in the grid can be effectively compensated, avoiding power waste in the unbalanced state of the grid. For example, if the A and B phases of the grid have heavy loads, the ASVG can perform fine reactive compensation on these phases, while the intelligent capacitor bank performs large-capacity compensation on the C phase to ensure power balance between the three phases.

[0065] When the grid load is complex and the harmonic pollution is heavy, the system selects the mixed compensation mode. In this mode, the compensation ratio of the ASVG and the intelligent capacitor bank is dynamically adjusted according to the three-phase imbalance data of the grid. Through the adaptive control algorithm, the ASVG provides fine reactive compensation according to the harmonic data of the grid and adjusts the output power to suppress harmonics, while the intelligent capacitor bank provides large-capacity reactive power compensation. According to the three-phase imbalance data, the system can real-time adjust the output ratio between the ASVG and the intelligent capacitor bank to achieve the best reactive power compensation effect and suppress the harmonic pollution in the grid.

[0066] For example, in a grid with uneven load and high harmonics, the control module monitors and analyzes the three-phase voltage imbalance data in real time, determines that the A and B phases have heavy loads, and automatically allocates the fine compensation task of the ASVG to these two phases, while the intelligent capacitor bank compensates for the C phase and suppresses the harmonics of the A and B phases, thereby improving the power quality and stability of the grid.

[0067] This dynamic adjustment and collaborative working mechanism solves the problem of traditional reactive power compensation systems in responding to grid load fluctuations, harmonic pollution and three-phase imbalance, etc. It improves the flexibility and compensation efficiency of the system, effectively optimizes the power quality, and ensures the stable operation and efficient energy use of the grid.

[0068] As a preferred technical solution of the present application, the output compensation result includes: The compensation result is displayed on the LCD display screen, and the compensation result includes reactive power compensation amount and harmonic control data. The operating state of the ASVG and the intelligent capacitor bank is acquired, and the operating state includes switching state and output power. The operating state is transmitted to a background communication module, and the background communication module is used for recording power grid power quality data. The control parameter in the JP cabinet is adjusted according to the compensation result, and the control parameter is used for optimizing subsequent compensation strategy.

[0069] In the present application, the process of outputting the compensation result mainly displays the reactive power compensation amount and the harmonic control data through the LCD display screen. This information is obtained through real-time data acquisition and calculation, wherein the reactive power compensation amount indicates the total amount of compensated reactive power in the power grid, and the harmonic control data reflects the suppression effect of ASVG on harmonic pollution of the power grid. The display of these data not only provides real-time feedback, but also helps the operator to monitor the power quality of the power grid and ensures that the system operates as expected.

[0070] In cooperation with this, the operating state of the ASVG and the intelligent capacitor bank is also continuously monitored, including their switching state and output power. The switching state indicates whether the device is enabled, and the output power indicates the amount of reactive power currently provided by the device. Such operating state data is crucial for evaluating the responsiveness and efficiency of the compensation system. All these operating state information is transmitted to the background communication module through the communication interface, and the background module receives and records these data, which provides important data support for the long-term operation quality of the power grid. These data are used to generate power quality reports, which help to further optimize the compensation strategy and device configuration.

[0071] In addition, the control module adjusts the control parameter in the JP cabinet according to the real-time acquired compensation result and operating state data, so as to optimize the subsequent compensation strategy. Specifically, when the load or harmonic of the power grid changes, the compensation strategy will be dynamically adjusted according to the historical data. The control module will evaluate the effect of the compensation system according to the compensation result and operating state data displayed on the LCD, and then adjust the working mode and operating parameter of the device, so as to ensure that the compensation system can efficiently adjust according to the change of the load of the power grid. The dynamic optimization capability ensures that the compensation system has high flexibility and adaptability in dealing with complex power grid load and harmonic conditions.

[0072] For example, when the power grid load fluctuates sharply, the system displays real-time reactive compensation and harmonic data on the display screen, allowing the operator to immediately see the response effect of the compensation system. At the same time, the control module adjusts the control parameters of the equipment in the JP cabinet according to real-time feedback, thereby optimizing the compensation strategy and ensuring that the compensation effect remains optimal at all times when the power grid load changes. This embodiment can solve the problem of lack of real-time feedback and optimization capability in traditional systems, improve the response speed and stability of the power grid compensation system, and significantly improve the power quality and system reliability of the power grid.

[0073] As a preferred technical solution of the present application, the capacity of the intelligent capacitor bank is configured, including: The capacity range of the self-healing capacitor or the split capacitor in the intelligent capacitor bank is obtained; The combination mode of the self-healing capacitor or the split capacitor is determined according to the reactive compensation capacity; The switching state of the self-healing capacitor or the split capacitor is controlled by the composite switch or thyristor switching device; The switching state is recorded and transmitted to the M1 control module, and the switching state is used for dynamic adjustment of the compensation capacity.

[0074] In this preferred embodiment, the capacity configuration of the intelligent capacitor bank is obtained and analyzed by obtaining the capacity range of the self-healing capacitor or the split capacitor, and the combination mode is determined in combination with the reactive compensation capacity. The reactive compensation capacity of the power grid is usually calculated based on the transformer capacity and the power grid load demand to ensure the dynamic balance of the power grid reactive power. According to this calculation result, the system determines the required compensation device configuration, such as selecting appropriate self-healing capacitors or split capacitors, and determining their combination mode according to the capacity range. For example, when the reactive compensation demand of the power grid is large, multiple capacitor units may be combined to provide sufficient compensation capacity, and for smaller compensation demand, a single or small number of capacitor units can be selected.

[0075] The switching state of the capacitor is controlled by the composite switch or thyristor switching device, which can accurately manage the working state of the capacitor and ensure that it can be turned on or off in time when needed. The composite switch and thyristor, as an electrical control device, can quickly and accurately complete the switching operation when the power grid load changes, avoiding the response delay of traditional manual switching mode and reducing the problem of power grid instability caused by improper equipment switching. The control device dynamically adjusts the switching of the capacitor by real-time monitoring of the load of the power grid and the state of the capacitor bank, ensuring that the reactive power compensation in the power grid always remains within a reasonable range.

[0076] During the compensation process, the switching state of the recording capacitor is recorded and transmitted to the M1 control module, which is crucial for optimizing the subsequent compensation strategy. The M1 control module adjusts the control parameters in real time according to the received switching state data, ensuring that the compensation capacity is flexibly adjusted with the changes in the grid load. These adjustments may involve the switching frequency, switching timing, and compensation accuracy of the compensation equipment, ensuring that the operation of the compensation system remains in the optimal state after each adjustment. For example, when the grid load fluctuates, the control module adjusts the switching operation of the capacitor bank to adapt to the new load demand, avoiding over-compensation or under-compensation, and ensuring stable operation of the grid.

[0077] For example, assuming that the grid load suddenly increases, the M1 control module determines to connect several capacitor units in parallel according to the load information of the grid and the capacity range of the self-healing capacitor, and adjusts the control parameters of the thyristor switching to ensure that the capacitor bank can provide the required reactive compensation. By recording and adjusting the switching state in real time, the system can respond to fluctuations in the grid load and ensure that reactive compensation is carried out in the best state, improving power quality and avoiding grid instability and equipment loss caused by improper compensation.

[0078] As a preferred technical solution of the present application, the transmission of the grid load information to the ASVG and the intelligent capacitor bank through the RS485 communication interface comprises: The transmission protocol of the RS485 communication interface is configured to ensure the stability of data transmission; Real-time harmonic data and reactive power demand in the grid load information are obtained; The real-time harmonic data is transmitted to the ASVG, and the ASVG adjusts the harmonic control parameters according to the real-time harmonic data; The reactive power demand is transmitted to the intelligent capacitor bank, and the intelligent capacitor bank adjusts the output capacity according to the reactive power demand.

[0079] In the present application, the RS485 communication interface is used to transmit the grid load information to the ASVG and the intelligent capacitor bank to ensure the coordinated work of the compensation system and the dynamic adjustment of the grid load. First, the transmission protocol of the RS485 communication interface is configured to meet the stability requirements of industrial control systems, ensuring that there is no loss or interference during data transmission, and ensuring timely and accurate transmission of grid information. This protocol usually uses Modbus RTU or other industrial protocols to ensure the reliability and anti-interference of communication, so that even in the case of large fluctuations in grid load or harmonic pollution, data transmission can still be stable.

[0080] The grid load information includes real-time harmonic data and reactive power demand, which are collected by sensors and transmitted to the control module in real time. Real-time harmonic data reflects the distortion of current and voltage waveform of the grid, which is an important parameter for evaluating power quality. The reactive power demand indicates the amount of reactive power that needs to be compensated in the grid, which is used to ensure that the power factor of the grid remains within a reasonable range. Through the RS485 communication interface, real-time harmonic data is transmitted to the ASVG, and the ASVG adjusts its governing parameters according to the received harmonic data to optimize the operation mode of the inverter, thereby effectively suppressing harmonic pollution in the grid. The intelligent capacitor bank determines the required output of reactive power according to the received reactive power demand data and adjusts the compensation capacity according to the demand.

[0081] This control mechanism based on real-time data transmission ensures that the ASVG and the intelligent capacitor bank can accurately cooperate, the ASVG finely governs the harmonics of the grid, and adjusts its compensation output according to the reactive power demand, while the intelligent capacitor bank adjusts its working state according to the real-time reactive power demand data. Through this dynamic adjustment, the grid can adapt to the fluctuations of the load and the changes of harmonic pollution in real time, ensuring the stability of power quality and improving the overall operation efficiency of the grid.

[0082] For example, when the grid load fluctuates sharply, real-time harmonic data is quickly transmitted to the ASVG, which adjusts the compensation strategy according to the data to reduce the impact of harmonics on the grid. At the same time, the intelligent capacitor bank adjusts its compensation capacity to ensure that the reactive power demand is met. This mechanism not only effectively avoids the problem of under-compensation or over-compensation in traditional systems due to the lack of real-time response mechanism, but also greatly improves the adaptive ability of the grid and the power quality.

[0083] The application also provides a hybrid reactive power compensation device for a JP cabinet, which is used to implement the above-mentioned hybrid reactive power compensation method, and comprises: A grid load information acquisition module is configured to acquire grid load information in real time, wherein the grid load information includes reactive power demand, harmonic data, and three-phase imbalance data. A transformer capacity information acquisition module is configured to acquire capacity information of a transformer connected to the grid. An enhanced static reactive power generator module is configured to finely compensate reactive power and govern harmonics. An intelligent capacitor bank module is configured to provide large-capacity reactive power compensation. A communication interface module is configured to connect the ASVG module and the intelligent capacitor bank module, and perform bidirectional transmission of grid load information and device state data. A control module is configured to generate compensation instructions based on the grid load information and transformer capacity information, the compensation instructions being used to control the operating states of the ASVG module and the intelligent capacitor bank module, and the control module is further configured to adjust the compensation instructions based on feedback data of the devices; A feedback data receiving module is configured to receive compensation effect feedback data of the ASVG module and the intelligent capacitor bank module, the feedback data including power factor, harmonic content, three-phase voltage imbalance, etc., and the feedback data is used to optimize subsequent compensation strategies.

[0084] The preferred embodiments of the application disclosed above are only used to help explain the application. The preferred embodiments do not describe all the details and limit the application to the specific embodiments. Obviously, many modifications and variations can be made according to the content of the present application. The present application selects and specifically describes these embodiments in order to better explain the principles and practical applications of the application, so that those skilled in the art can well understand and utilize the application. The application is limited only by the claims and their full scope and equivalents.

Claims

1. A hybrid type of reactive power compensation method for a JP cabinet, characterized by, The method comprises the following steps: obtaining power grid load information and transformer capacity information, the power grid load information including reactive power demand and harmonic data; configuring an enhanced static var generator (ASVG) and an intelligent capacitor bank, the ASVG being used for fine reactive power compensation and harmonic control, and the intelligent capacitor bank being used for large-capacity reactive power compensation; realizing data transmission between the ASVG and the intelligent capacitor bank through a communication interface, the data transmission being used for coordinating compensation strategies; adjusting compensation modes of the ASVG and the intelligent capacitor bank according to the power grid load information, the compensation modes including common compensation, separate compensation and mixed compensation.

2. The hybrid reactive compensation method of claim 1, wherein, The configuration of the enhanced static var generator (ASVG) and the intelligent capacitor bank comprises: determining a reactive power compensation capacity according to the transformer capacity information, the reactive power compensation capacity being provided by the ASVG and the intelligent capacitor bank together; configuring a capacity of the ASVG as a preset value, the preset value being set according to transformer capacity classification; configuring a capacity of the intelligent capacitor bank, the capacity of the intelligent capacitor bank being determined according to a difference between the reactive power compensation capacity and the capacity of the ASVG; setting operation parameters of the ASVG and the intelligent capacitor bank through a control module, the operation parameters including switching time and compensation accuracy.

3. The hybrid var compensation method of claim 1, wherein, The realization of data transmission between the ASVG and the intelligent capacitor bank through a communication interface comprises: obtaining the power grid load information, the power grid load information being transmitted to an M1 control module through a background communication module; transmitting the power grid load information to the ASVG and the intelligent capacitor bank through an RS485 communication interface; generating compensation instructions by the M1 control module according to the power grid load information, the compensation instructions being used for controlling operation states of the ASVG and the intelligent capacitor bank; adjusting output power of the ASVG and the intelligent capacitor bank according to the compensation instructions, the output power being used for realizing fast response and accurate compensation.

4. The hybrid reactive compensation method of claim 3, wherein, The dynamic adjustment of compensation proportions between the ASVG and the intelligent capacitor bank is realized through an adaptive control algorithm, and specifically comprises: automatically adjusting output power proportions of the ASVG and the intelligent capacitor bank based on reactive power demand, harmonic data and three-phase imbalance data when the power grid load information changes; generating new compensation instructions by the control module according to real-time power grid load data and equipment state feedback, and transmitting the new compensation instructions to the ASVG and the intelligent capacitor bank through a communication interface; the feedback mechanism is used for collecting actual compensation effect data of equipment after each compensation, the feedback data including the power factor of the power grid, harmonic content and three-phase voltage imbalance, etc., the feedback data being transmitted to the control module to optimize subsequent compensation instructions; the optimization process comprises adjusting compensation accuracy of the ASVG or switching capacity of the intelligent capacitor bank according to feedback data, so as to ensure flexibility and responsiveness of the compensation process.

5. The hybrid reactive compensation method of claim 1, wherein, The adjustment of compensation modes of the ASVG and the intelligent capacitor bank according to the power grid load information comprises: obtaining reactive power demand and three-phase imbalance data in the power grid load information; determining a target compensation mode according to the reactive power demand, the target compensation mode including common compensation, separate compensation, or mixed compensation; for the common compensation mode, controlling the ASVG and the intelligent capacitor bank to simultaneously output reactive power; for the separate compensation mode, respectively controlling the ASVG and the intelligent capacitor bank to compensate for reactive power of different phases; for the mixed compensation mode, coordinating output proportions of the ASVG and the intelligent capacitor bank, the output proportions being dynamically adjusted according to the three-phase imbalance data.

6. The hybrid VAR compensation method of claim 1 wherein, the output compensation result includes: displaying the compensation result on an LCD display screen, the compensation result including reactive power compensation amount and harmonic control data; obtaining operating states of the ASVG and the intelligent capacitor bank, the operating states including switching states and output power; transmitting the operating states to a background communication module, the background communication module being configured to record power grid power quality data; adjusting control parameters in the JP cabinet according to the compensation result, the control parameters being used to optimize subsequent compensation strategies.

7. The hybrid reactive compensation method of claim 2, wherein, the configuration of the capacity of the intelligent capacitor bank includes: obtaining a capacity range of self-healing capacitors or split capacitors in the intelligent capacitor bank; determining a combination mode of the self-healing capacitors or the split capacitors according to the reactive power compensation capacity; controlling switching states of the self-healing capacitors or the split capacitors by a composite switch or a thyristor switching device; recording the switching states and transmitting the switching states to the M1 control module, the switching states being used to dynamically adjust compensation capacity.

8. The hybrid reactive compensation method of claim 3, wherein, the transmission of the power grid load information to the ASVG and the intelligent capacitor bank through the RS485 communication interface includes: configuring a transmission protocol of the RS485 communication interface, the transmission protocol being used to ensure stability of data transmission; obtaining real-time harmonic data and reactive power demand in the power grid load information; transmitting the real-time harmonic data to the ASVG, the ASVG adjusting harmonic control parameters according to the real-time harmonic data; transmitting the reactive power demand to the intelligent capacitor bank, the intelligent capacitor bank adjusting output capacity according to the reactive power demand.

9. A hybrid reactive power compensation device for a JP cabinet for implementing the hybrid reactive power compensation method according to any one of claims 1-8, characterized in that, includes: a power grid load information acquisition module, configured to acquire power grid load information in real time, the power grid load information including reactive power demand, harmonic data, and three-phase imbalance data; a transformer capacity information acquisition module, configured to acquire capacity information of a transformer connected to the power grid; an enhanced static reactive power generator module, configured to perform fine reactive power compensation and harmonic control; an intelligent capacitor bank module, configured to provide large-capacity reactive power compensation; a communication interface module, configured to connect the ASVG module and the intelligent capacitor bank module, and perform bidirectional transmission of power grid load information and device state data; a control module, configured to generate compensation instructions according to the power grid load information and the transformer capacity information, the compensation instructions being used to control operating states of the ASVG module and the intelligent capacitor bank module, and the control module being further configured to adjust the compensation instructions based on feedback data of the devices; A feedback data receiving module is configured to receive compensation effect feedback data of the ASVG module and the intelligent capacitor bank module, the feedback data including power factor, harmonic content, three-phase voltage imbalance, etc., for optimizing subsequent compensation strategies.

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