Distributed cooperative power quality control system

Abstract

The invention relates to the technical field of electric energy quality control, and discloses a distributed collaborative electric energy quality control system, which is characterized in that a plurality of distributed electric energy quality monitoring terminals are uniformly distributed at key nodes of a power grid, accurately acquire core parameters such as voltage, current effective values, harmonic distortion rate and voltage sag, and are internally provided with unique position codes for accurate positioning; the data transmission network is connected with the monitoring terminal and the central control unit to ensure high-speed, stable and real-time transmission of data; the central control unit integrates a storage module, an analysis module and a strategy generation module and is used for storing data, analyzing electric energy quality, positioning problems and generating a regulation and control strategy; and the plurality of distributed electric energy quality adjusting devices are arranged in a power grid hub, communicate with the central control unit, optimize the electric energy quality according to the power grid hub, are internally provided with self-checking units, and feed back abnormity. The system has the advantages of omnibearing accurate monitoring, intelligent and efficient regulation and control, high reliability guarantee and improved operation and maintenance convenience.

Description

Technical Field

[0001] The present invention relates to the technical field of power quality control, and in particular to a distributed collaborative power quality control system. Background Art

[0002] With the rapid development of modern industry and the widespread application of various sensitive electronic devices, the power quality problem in the power grid has become increasingly prominent. For example, the large number of nonlinear loads connected has caused the harmonic content in the power grid to rise sharply, which not only interferes with the normal power transmission, but also accelerates the aging of electrical equipment, reduces its service life, frequently causes equipment failures, and brings huge economic losses to enterprises. At the same time, sudden situations such as the start-up of large motors and lightning strikes can easily cause voltage sags, surges, and even interruptions, which seriously affect the normal operation of precision instruments and may even cause production lines to stop working.

[0003] Traditional power quality control methods are mostly single-point, passive control. For example, some companies only install single-function power quality monitoring devices in the distribution room, which can only roughly obtain local voltage and current information, and it is difficult to fully understand the overall power quality of the power grid. Moreover, once a problem is found, it is often based on manual experience and judgment, and the compensation device is manually operated for adjustment. This method has a slow response and poor accuracy, and cannot adapt to the real-time changes in the power grid. In addition, there is a lack of coordination and linkage mechanism between power grids in different regions, and each operates independently. When the power quality in one area deteriorates, the adjacent areas cannot cooperate in regulation in time, resulting in the spread of problems and the expansion of the scope of influence. It is difficult to meet the stringent requirements for power quality under today's complex and changeable power supply and demand pattern. Summary of the invention

[0004] In order to solve the above-mentioned problems, the present invention proposes a distributed cooperative power quality control system.

[0005] In order to solve the above technical problems, the technical solution proposed by the present invention is: a distributed collaborative power quality control system, comprising:

[0006] There are multiple distributed power quality monitoring terminals, evenly distributed at key nodes of the power grid, to accurately collect the core power quality parameters of the nodes, such as voltage RMS, current RMS, voltage harmonic distortion rate, current harmonic distortion rate, and detailed information of voltage sag, swell and interruption. Each terminal is equipped with a unique position encoding module for precise positioning.

[0007] The data transmission network, as a link, is connected to each monitoring terminal at one end and to the central control unit at the other end. It uses redundant communication link technology and combines adaptive routing intelligent switching functions to ensure that monitoring data is transmitted to the central control unit at a high speed, stably and in real time regardless of changes in the power grid environment.

[0008] The central control unit integrates a large-capacity data storage module, an intelligent data analysis module, and an advanced collaborative control strategy generation module. The data storage module is responsible for orderly storing the massive power quality data received from the transmission network; the data analysis module uses the built-in complex preset algorithm to deeply analyze the stored data, comprehensively judge the quality of the power grid, and accurately locate the problem-prone areas; the collaborative control strategy generation module, based on the analysis results, closely combines the real-time topology architecture and operating conditions of the power grid, and tailors a collaborative control strategy for the power quality regulation equipment distributed in various places;

[0009] Multiple distributed power quality regulation devices are installed at the hub nodes of the power grid. They maintain two-way communication with the central control unit, receive and strictly implement collaborative control strategies, and optimize the power quality of the nodes through their powerful reactive power compensation, harmonic filtering, and precise voltage regulation multi-mode regulation methods. In addition, the equipment is embedded with an intelligent self-test unit to monitor its own operating parameters at all times. Once an abnormality is detected, it will quickly feedback to the central control unit.

[0010] Preferably, the distributed power quality monitoring terminal is additionally provided with a signal preprocessing subunit, which sequentially performs filtering and noise reduction, signal amplification, and analog-to-digital conversion processing on the collected original power quality signal, and converts the chaotic original signal into a high-precision, high-stability usable signal, which facilitates the efficient transmission and accurate analysis of subsequent data. Moreover, this signal preprocessing subunit adopts a convenient plug-in modular structure, which can quickly complete the replacement or upgrade operation according to the requirements of different monitoring scenarios.

[0011] Preferably, the data transmission network of the system has excellent communication compatibility and fully supports multiple mainstream communication protocols such as industrial Ethernet, wireless 4G / 5G and power line carrier communication. During actual operation, it can automatically screen and switch to the optimal communication mode according to the complex layout of the power grid, the degree of dispersion of monitoring terminals and the surrounding electromagnetic interference conditions. At the same time, each node in the network has a built-in high-intensity encryption transmission module to encrypt the transmitted power quality data layer by layer, effectively resisting illegal intrusion from the outside world and ensuring information security.

[0012] Preferably, the preset algorithm built into the data analysis module of the central control unit is ingenious. On the one hand, it covers the long-term trend prediction algorithm of power quality based on big data mining technology, and through in-depth analysis of massive historical power quality data, it can accurately predict the fluctuation trend of power quality of the power grid in the future period; on the other hand, it introduces the intelligent diagnosis algorithm of power quality fault based on machine learning principles, and uses a large amount of fault case data accumulated in the past to train the model, so that when facing current power quality problems, it can quickly and accurately determine the fault type and lock the root cause of the fault.

[0013] Preferably, the collaborative control strategy generation module follows a rigorous set of optimization objective functions when generating the control strategy, which comprehensively considers multiple objectives, including improving the regulation effect of power quality, controlling equipment operating costs, reducing overall power grid losses, and accelerating the dynamic response rate during the regulation process, so as to ensure that the generated collaborative control strategy can achieve optimal regulation of power quality of the power grid. Moreover, the control strategy also has the characteristics of real-time dynamic adjustment. Once there is any disturbance in the operating conditions of the power grid, the regulation instructions can be immediately updated according to the new situation to ensure that the power grid always operates smoothly.

[0014] Preferably, the intelligent self-test module inside the distributed power quality regulation equipment adopts a multiple redundant sensor layout to perform all-round and uninterrupted monitoring of the operating parameters of key components inside the equipment, such as capacitors, inductors, and power semiconductor devices. Once a sensor detects an abnormal fluctuation, the system automatically activates the backup module to seamlessly take over the work, and sends detailed fault alarm information to the central control unit. In order to facilitate remote operation by operation and maintenance personnel, the equipment also supports remote one-key restart and online adjustment of key parameters.

[0015] Preferably, the central control unit is designed with a user-friendly human-computer interaction interface, through which the operation and maintenance personnel can not only view the dynamic data of the power quality of each node in the power grid in real time, trace past historical data, study professional analysis reports and understand the specific implementation of the control strategy, but also, under special circumstances, manually input precise control instructions to intervene in the operation of the entire system. The human-computer interaction interface uses intuitive and visual graphic display technology to present complex power grid power quality conditions and system operation status in a concise and clear manner, greatly reducing the operating difficulty of the operation and maintenance personnel.

[0016] Compared with the prior art, the present invention has the following advantages:

[0017] Comprehensive and accurate monitoring: Through the multi-point distributed layout of monitoring terminals, information silos are broken and a panoramic insight into the power quality of the power grid is achieved. From subtle harmonic fluctuations to macro voltage changes, nothing is missed, providing detailed first-hand information for precise control, just like a comprehensive "physical examination" for the health of the power grid, and early warning of potential risks.

[0018] Intelligent and efficient control: The central control unit uses advanced algorithms to transform complex power grid operation data into scientific decisions. The collaborative control strategy is like a baton, allowing the dispersed regulation equipment to cooperate tacitly, quickly respond to power quality issues, avoid the lag of manual intervention, greatly improve the control efficiency, and ensure the continuous and stable operation of sensitive equipment.

[0019] High reliability guarantee: The transmission network with redundant links and adaptive routing, plus the self-checking redundant design of the regulating equipment, builds a solid protection network. If there is a communication obstruction or equipment failure, the backup mechanism will immediately take over, ensuring that the entire system is as stable as Mount Tai, continuously "standing guard" for the power grid, reducing the risk of power outages and reducing economic losses.

[0020] Improved convenience of operation and maintenance: The visual human-computer interaction interface is combined with the remote operation and maintenance function, allowing operation and maintenance personnel to control the overall situation without leaving home. Real-time data, historical curves, and analysis reports can be obtained with one click, and faults can be diagnosed and repaired remotely, which greatly shortens the operation and maintenance cycle, reduces operation and maintenance costs, and improves the modernization level of power grid operation and maintenance management. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 It is a principle flow chart of a distributed cooperative power quality control system of the present invention. DETAILED DESCRIPTION

[0022] The present invention is further described in detail below with reference to the accompanying drawings.

[0023] Example 1

[0024] Power quality control in industrial parks

[0025] In a large industrial park, various factories gather together, and the electrical equipment is complex and diverse. Distributed power quality monitoring terminals are evenly distributed in key nodes such as the power distribution rooms of major factories and the power workshops according to the layout of the park's power grid.

[0026] These terminals collect data in real time. For example, when a large number of electric welding machines are working in a mechanical processing plant, the monitoring terminal accurately captures the surge in high-order harmonic content and the voltage fluctuates slightly. The data is quickly transmitted to the central control unit via the transmission network, and the storage module records it completely. The analysis module compares the historical power quality data of the park based on the big data algorithm to determine the trend of power quality deterioration in the area. The collaborative control strategy generation module quickly instructs the distributed power quality regulation equipment located near the plant to start. The reactive power compensation module in the regulation equipment quickly injects an appropriate amount of reactive power to stabilize the voltage; the harmonic control unit is turned on and the high-order harmonics are accurately filtered out through the filter. The intelligent self-checking unit performs synchronous self-checking to ensure that the equipment is running correctly and feedback the status in real time. The operation and maintenance personnel monitor the entire process through the human-computer interaction interface and see that the power quality indicators gradually return to normal, ensuring the continuous and stable operation of the park production line and avoiding the increase in product defective rate and frequent equipment maintenance due to power quality problems.

[0027] Example 2

[0028] Power quality optimization in urban commercial areas

[0029] There are many tall buildings in the city's commercial center, and central air conditioners, elevators, computer servers and other equipment in shopping malls and office buildings are running day and night. Distributed power quality monitoring terminals are installed in key locations such as the main distribution room and floor distribution boxes of commercial complexes.

[0030] During peak power consumption periods, a large number of lighting fixtures are turned on and elevators start and stop frequently, causing frequent voltage fluctuations. The monitoring terminal is sensitive and transmits data containing detailed voltage and current change information to the central control unit. The data analysis module uses a machine learning fault diagnosis algorithm to quickly identify that the main cause of voltage fluctuations is the impact of inductive loads. The central control unit immediately issues instructions to the power quality regulation equipment distributed on each floor. The regulation equipment preferentially starts the voltage regulation function and quickly stabilizes the voltage through the dynamic voltage restorer; at the same time, the reactive power compensation function follows up to balance reactive power and reduce line losses. The intelligent self-test module monitors the equipment temperature and capacitance and inductance parameters in real time to ensure the safe and reliable operation of the equipment. With the help of the human-computer interaction interface, the operation and maintenance personnel remotely checked and found that the power quality of the entire commercial area has been significantly improved, avoiding problems such as failures of the shopping mall cash register system and crashes of office equipment in office buildings caused by unstable voltage, thereby improving the stability of commercial operations.

[0031] Example 3

[0032] Power quality assurance for renewable energy access to the power grid

[0033] In a new energy power generation demonstration area, wind turbines and photovoltaic power stations are connected to the grid on a large scale. Distributed power quality monitoring terminals are distributed in key locations such as wind farm collection stations, photovoltaic power station inverter outlets and grid connection points.

[0034] When the wind speed changes suddenly, the output power of the wind turbine fluctuates greatly, causing the voltage flicker and harmonic increase of the power grid. The monitoring terminal collects parameters and transmits them as soon as possible. After the central control unit stores the data, the analysis module uses the big data trend prediction algorithm to predict the subsequent changes in power quality, and the collaborative control strategy generation module makes overall arrangements. On the one hand, the power quality regulation equipment close to the renewable energy power generation side is instructed to fully suppress harmonics, and advanced active power filters are used to accurately eliminate specific frequency harmonics; on the other hand, the reactive compensation amount is adjusted to stabilize the voltage at the grid connection point. The self-test module of the distributed power quality regulation equipment pays close attention to its own status to ensure reliable operation in a complex environment of interaction between renewable energy and the power grid. Through the human-computer interaction interface, the operation and maintenance personnel can grasp the impact of new energy access on the power quality of the power grid and the regulation effect in real time, ensuring the stable integration of new energy power into the power grid, promoting the efficient use of clean energy, and reducing the impact on the power quality of the traditional power grid.

[0035] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A distributed collaborative power quality control system, characterized in that: include: There are multiple distributed power quality monitoring terminals, evenly distributed at key nodes of the power grid, to accurately collect the core power quality parameters of the nodes, such as voltage RMS, current RMS, voltage harmonic distortion rate, current harmonic distortion rate, and detailed information of voltage sag, swell and interruption. Each terminal is equipped with a unique position encoding module for precise positioning. The data transmission network, as a link, is connected to each monitoring terminal at one end and to the central control unit at the other end. It uses redundant communication link technology and combines adaptive routing intelligent switching functions to ensure that monitoring data is transmitted to the central control unit at a high speed, stably and in real time regardless of changes in the power grid environment. The central control unit integrates a large-capacity data storage module, an intelligent data analysis module, and an advanced collaborative control strategy generation module. The data storage module is responsible for orderly storing the massive power quality data received from the transmission network; the data analysis module uses the built-in complex preset algorithm to deeply analyze the stored data, comprehensively judge the quality of the power grid, and accurately locate the problem-prone areas; the collaborative control strategy generation module, based on the analysis results, closely combines the real-time topology architecture and operating conditions of the power grid, and tailors a collaborative control strategy for the power quality regulation equipment distributed in various places; Multiple distributed power quality regulation devices are installed at the hub nodes of the power grid. They maintain two-way communication with the central control unit, receive and strictly implement collaborative control strategies, and optimize the power quality of the nodes through their powerful reactive power compensation, harmonic filtering, and precise voltage regulation multi-mode regulation methods. In addition, the equipment is embedded with an intelligent self-test unit to monitor its own operating parameters at all times. Once an abnormality is detected, it will quickly feedback to the central control unit.

2. A distributed collaborative power quality control system according to claim 1, characterized in that: The distributed power quality monitoring terminal is additionally equipped with a signal preprocessing subunit, which carries out filtering and noise reduction, signal amplification and analog-to-digital conversion processing for the collected original power quality signals, and converts the chaotic original signals into high-precision and high-stability usable signals, facilitating the efficient transmission and accurate analysis of subsequent data. Moreover, this signal preprocessing subunit adopts a convenient plug-in modular structure, which can be quickly replaced or upgraded according to the requirements of different monitoring scenarios.

3. A distributed collaborative power quality control system according to claim 1, characterized in that: The data transmission network of the system has excellent communication compatibility and fully supports multiple mainstream communication protocols such as industrial Ethernet, wireless 4G / 5G and power line carrier communication. During actual operation, it can automatically screen and switch to the optimal communication mode based on the complex layout of the power grid, the degree of dispersion of monitoring terminals and the surrounding electromagnetic interference conditions. At the same time, each node in the network has a built-in high-intensity encryption transmission module to encrypt the transmitted power quality data layer by layer, effectively resisting illegal intrusion from the outside world and ensuring information security.

4. A distributed collaborative power quality control system according to claim 1, characterized in that: The preset algorithms built into the data analysis module of the central control unit are unique. On the one hand, it includes a long-term trend prediction algorithm for power quality based on big data mining technology. Through in-depth analysis of massive historical power quality data, it can accurately predict the fluctuation trend of power quality in the power grid in the future. On the other hand, it introduces an intelligent diagnosis algorithm for power quality faults based on machine learning principles, and uses a large amount of fault case data accumulated in the past for model training. When faced with current power quality problems, it can quickly and accurately determine the fault type and identify the root cause of the fault.

5. A distributed collaborative power quality control system according to claim 1, characterized in that: The collaborative control strategy generation module follows a rigorous set of optimization objective functions when generating control strategies. This function takes into account multiple goals, including improving the regulation effect of power quality, controlling equipment operating costs, reducing overall grid losses, and accelerating the dynamic response rate during the regulation process. This ensures that the generated collaborative control strategy can achieve optimal regulation of grid power quality. Not only that, the control strategy also has real-time dynamic adjustment characteristics. Once there is any disturbance in the operating conditions of the grid, the regulation instructions can be immediately updated according to the new situation to ensure that the grid always operates smoothly.

6. A distributed collaborative power quality control system according to claim 1, characterized in that: The intelligent self-test module inside the distributed power quality regulation equipment adopts a multiple redundant sensor layout to conduct all-round and uninterrupted monitoring of the operating parameters of key components such as capacitors, inductors, and power semiconductor devices inside the equipment. Once a sensor detects an abnormal fluctuation, the system automatically activates the backup module to seamlessly take over the work and sends detailed fault alarm information to the central control unit. In order to facilitate remote operation by operation and maintenance personnel, the equipment also supports remote one-key restart and online adjustment of key parameters.

7. A distributed collaborative power quality control system according to claim 1, characterized in that: The central control unit is designed with a user-friendly human-computer interaction interface. Through this interface, operation and maintenance personnel can not only view the dynamic data of power quality of each node in the power grid in real time, trace past historical data, study professional analysis reports and understand the specific implementation of control strategies, but also manually input precise control instructions in special circumstances to intervene in the operation of the entire system. The human-computer interaction interface uses intuitive and visual graphic display technology to present complex power grid power quality conditions and system operation status in a concise and clear manner, greatly reducing the difficulty of operation for operation and maintenance personnel.

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