Electric precipitation optimization control method and system

Abstract

The invention discloses an electric precipitation optimization control method and system, and the method comprises the following steps: determining an optimal dry electric field gradient based on energy consumption data mining, and setting an initial range of a secondary current set value; concentration closed-loop control is taken as a core, current is adjusted according to dry electricity outlet concentration when a dry electricity outlet concentration sensor is normal, and current is adjusted according to deviation between a wet electricity outlet concentration set value and a wet electricity outlet concentration feedback value when the dry electricity outlet concentration sensor is abnormal; if the wet electricity concentration exceeds the environmental protection high limit in daily control, the dry electricity secondary current is increased; dry power flashover starting dual control is realized; the dry power secondary current is forcibly reduced when the temperature of the dry power IGBT or the oil temperature of the transformer exceeds the limit; the dry electricity channel has a fault electric field, and the dry electricity secondary current of other normal electric fields of the channel is automatically increased. According to the invention, dry electricity and wet electricity can be cooperatively controlled, energy consumption is reduced, sensor faults are adapted, equipment safety and continuous operation are guaranteed, environmental protection requirements are met, and a win-win situation of environment and economic benefits is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of electrostatic precipitator energy-saving control, and in particular to an electrostatic precipitator optimization control method and system. Background Art

[0002] Currently, as the environmental protection emission standards for thermal power plants continue to tighten, the smoke dust limit has reached 5mg / m³. Under this severe situation, it has become extremely urgent for dry and wet electrostatic precipitators, which are major power consumers in power plants, to achieve energy-saving operation.

[0003] At present, there is a large delay in the operation and adjustment of electrostatic precipitators, and the dust content at the dry inlet cannot be accurately measured, making it difficult to effectively put the closed-loop control of electrostatic precipitators into operation. Even if some power plants have invested in closed-loop control, there are still many problems:

[0004] 1. Dry electricity controls the dust concentration at the dry electricity outlet, and wet electricity controls the dust concentration at the wet electricity outlet. The two are controlled independently without considering their mutual coordination.

[0005] 2. Dry power has a large hysteresis effect, and there is no relevant measurement point for the dust concentration at the dry power inlet. In order to ensure safety, the dry power output is usually larger.

[0006] 3. When part of the electric field fails, flashes over or vibrates, other electric fields in the same channel are not linked.

[0007] Currently, most electrostatic precipitator optimization control systems utilize manual or open-loop control. Higher unit load increases the secondary current. Furthermore, most electrostatic precipitator control systems utilize programming languages ​​like VB / C# or PLC statement tables for code development. Each strategy adjustment requires modifying the source code, significantly impacting development speed and system stability.

[0008] Electrostatic precipitator configurations vary significantly across power plants. For example, 600MW units typically have four dry power channels, with five high-frequency power supplies per channel; wet power channels typically have four to six. 1000MW units typically have six dry power channels, with five or four high-frequency power supplies per channel; wet power channels typically have six to eight. Traditional electrostatic precipitator control systems utilize different programs for different configurations, complicating subsequent functional upgrades.

[0009] Each controller in a conventional optimization control system uses the same operating system. However, the initial values ​​of the memory library and program code may vary across different operating systems, which can easily lead to subtle differences in the program between different operating systems. It can even cause the Windows system to run normally while the Linux system crashes. Once the programs of each controller crash, the system will be unavailable even if there is redundancy. Regarding the memory library, the Redis memory library is commonly used, but the Redis memory library performs differently in different operating systems and is not officially supported on native Windows systems. Projects in Windows often use Microsoft's secondary development based on the Redis open source system, which has a slower version tracking speed. Linux updates faster, which causes the same version of the memory library to differ between different operating systems.

[0010] Conventional optimization control systems use industrial computers (ICs). While more stable than commercial computers, they still suffer from the blue screen phenomenon. Once all IPCs experience a blue screen, the system becomes unusable. Furthermore, when conventional software encounters an infinite loop or other special circumstances, it cannot function properly with periodic and execution control functions, requiring a manual restart.

[0011] Currently, most graphical configuration software is developed in C++. While this software runs quickly, it also suffers from complex pointer programming, making it prone to data out-of-bounds crashes that are difficult to locate, and manual memory management is required. However, C# / Java development allows exception handling through try+catch, making it easier to identify the erroneous code line. Furthermore, C# uses automatic garbage collection (GC) to manage memory, eliminating the need for manual memory release.

[0012] The gateway for a dry-type high-frequency power supply typically uses the ModbusTCP protocol, acting as a communication server and supporting multiple communication connections. The dry-type SCADA system communicates with the gateway via ModbusTCP and also supports the OPC protocol for external communication. However, after some power plant gateways have exceeded their service life, the optimized control system and third-party software may be unable to communicate with the high-frequency power supply, while the dry-type SCADA system can still communicate with the high-frequency power supply. Conventional electrostatic precipitator optimization control systems use a single communication protocol, and failures in the associated software and hardware can easily limit system functionality.

[0013] During high summer temperatures, the IGBT or transformer oil temperature of high-frequency power supplies can easily exceed the specified temperature limit. This is especially true when the secondary current setting is high. This temperature overlimit triggers the high-frequency power supply's protection strategy, reducing the secondary current to 50% of its original set value to prevent overheating. However, this strategy operates too rapidly and suddenly, easily causing fluctuations in dust concentration. When a high-frequency power source in the upstream electric field flashes over, the equipment operates at reduced power, resulting in a decrease in the channel's overall dust removal capacity and increased emissions. Other channels must increase their output to maintain the outlet concentration, while the output of the non-flashover channel remains ineffectively reduced. Furthermore, the downstream non-flashover electric field in the same channel of the flashover device does not increase its power to compensate for the reduced dust removal capacity. Summary of the Invention

[0014] In view of the deficiencies in the prior art, the present invention provides an electrostatic precipitator optimization control method and system, which aims to solve the problems in the background technology.

[0015] To achieve the above object, the present invention provides the following technical solution: an electrostatic precipitator optimization control method, comprising the following steps: Step S1: Based on the electrostatic precipitator energy consumption data mining, the optimal dry electric field gradient is determined, and based on this, the initial range of the dry electric secondary current setting value and the wet electric secondary current setting value is set in combination with the dry electric outlet concentration setting value and the wet electric outlet concentration setting value; Step S2: When the electrostatic precipitator system is operating normally, the concentration closed-loop control is the core: if several electrostatic outlet concentration sensors are normal, the dry electric secondary current setting value is dynamically adjusted according to the deviation between the dry electric outlet concentration setting value and the dry electric outlet concentration feedback value; if several electrostatic outlet concentration sensors fail, the control logic is immediately switched, and the dry electric secondary current setting value and the wet electric secondary current setting value are synchronously adjusted according to the deviation between the wet electric outlet concentration setting value and the wet electric outlet concentration feedback value; Step S3: During the daily control process of the electrostatic precipitator system, if the real-time value of the wet electrostatic concentration is greater than the environmental protection upper limit Or the minute value of wet electric concentration is greater than the upper limit of environmental protection Or the hourly average value of wet electricity is greater than the upper limit of environmental protection , then increase the dry secondary current setting value; Step S4: when a flashover occurs in the dry power, dual control is started, including flashover suppression and recovery control and post-stage compensation control in the channel; Step S5: if the temperature of the dry IGBT is greater than the limit of the dry IGBT temperature, or the temperature of the transformer oil is greater than the limit of the transformer oil temperature, the set value of the dry secondary current is forcibly reduced; Step S6: When a fault electric field exists in the dry power channel, the dry power secondary current setting values ​​of other normal electric fields in the channel are automatically increased according to the number of the fault electric fields.

[0016] Furthermore, the specific process of the flashover suppression and recovery control is: if several electrical flashovers are greater than the flashover limit H, the dry power secondary current setting value is reduced at the maximum speed; if several electrical flashovers are less than the flashover limit H and last for a specified time, the dry power secondary current setting value is adjusted back to the dry power secondary current setting value before the dry power flashover at the maximum speed; the specific process of the post-stage compensation control within the channel is: if several electrical flashovers occur in the front-stage electric field of the dry power channel, while reducing the dry power secondary current setting value of the front-stage electric field, the power of the post-stage flashover-free electric field in the same dry power channel is increased.

[0017] Further, in step S5, the power reduction coefficient J1 is calculated according to the 1-minute average value of the transformer oil temperature; the power reduction coefficient J2 is calculated according to the maximum value of the 1-minute average value of the dry-ice IGBT temperature; the power reduction coefficient is calculated according to a broken-line function is calculated, wherein, is the transformer oil temperature or the dry-ice IGBT temperature, is the transformer oil temperature limit value or the dry-ice IGBT temperature limit value, represents the function according to , the function for calculating the power reduction coefficient according to the given broken-line relationship; J1 and J2 share the broken-line relationship: when =-5, the power reduction coefficient = 1; when =-4, the power reduction coefficient = 0.9; when =-3, the power reduction coefficient = 0.85; when =-2, the power reduction coefficient = 0.75; when =-0, the power reduction coefficient = 0.7; finally, the output secondary current set value is the original secondary current set value multiplied by the smaller value of J1 and J2.

[0018] Further, the specific process for determining the optimal dry-ice electric field gradient is as follows: the dry-ice electric field gradient is adjusted regularly, and the average power consumption of the electric dust removal corresponding to different dry-ice electric field gradients under the current unit load is mined from the database to find the dry-ice electric field gradient with the minimum average power consumption of the electric dust removal, i.e., the optimal dry-ice electric field gradient; the dry-ice electric field gradient is equal to the secondary current set value of the previous-stage dry-ice electric field divided by the secondary current set value of the current-stage dry-ice electric field.

[0019] An electric dust removal optimization control system for executing an electric dust removal optimization control method, comprising an electric dust removal system and an optimization component; the optimization component comprises N optimization controllers, a data network switch, a control network switch and an I / O gateway; the data network switch and the control network switch are connected with the N optimization controllers respectively; the data network switch and the control network switch are connected with each other; the data network switch is connected with the I / O gateway, and the I / O gateway is connected with the electric dust removal system; the I / O gateway collects the operation parameters of the electric dust removal system and sends them to each optimization controller through the data network switch to generate optimization control instructions, and then sends the optimization control instructions to the electric dust removal system through the data network switch and the I / O gateway to realize the optimization control of the electric dust removal system.

[0020] Furthermore, the electrostatic precipitator system includes a DCS control system, a dry power control system, a wet power control system, a dry power high-frequency power supply gateway and a wet power high-frequency power supply gateway; the I / O gateway is connected to the electrostatic precipitator DCS control system; the electrostatic precipitator DCS control system is respectively connected to the dry power control system and the wet power control system; the dry power control system is connected to the dry power high-frequency power supply gateway; the wet power control system is connected to the wet power high-frequency power supply gateway; the I / O gateway collects the operating parameters of the electrostatic precipitator system and sends them to each optimization controller through the data network switch to generate optimization control instructions, and then sends the optimization control instructions to the dry power control system and the wet power control system through the data network switch and the I / O gateway to control the dry power high-frequency power supply gateway and the wet power high-frequency power supply gateway to achieve optimized control of the dry power and wet power of the electrostatic precipitator; the operating parameters of the electrostatic precipitator system include dry / wet power secondary current set value, secondary current feedback value, secondary voltage, IGBT temperature, transformer oil temperature, operation and vibration signals; the dry power high-frequency power supply gateway and the wet power high-frequency power supply gateway are used to adjust the dry / wet power secondary current set value.

[0021] Furthermore, the optimization controller adopts an embedded industrial computer, which includes a hardware watchdog; the optimization controller adopts a heterogeneous system, that is, the hardware of the optimization controller adopts different architectures; different optimization controllers adopt different operating systems, the operating system is security-reinforced, and real-time patches are installed; different optimization controllers adopt different real-time libraries; the relational library of the optimization controller adopts a MySQL database or an Oracle database.

[0022] Furthermore, the dry power high frequency power supply gateway uses the ModbusTCP protocol as a communication server; the SCADA software of the dry power engineer station communicates with the dry power high frequency power supply gateway through the ModbusTCP protocol; The optimization component communicates directly with the dry power high-frequency power supply gateway through the ModbusTCP protocol, and also communicates with the SCADA software of the dry power engineer station through the ModbusTCP protocol; when both communication methods are normal, the method of directly communicating with the dry power high-frequency power supply gateway is preferred. When a communication failure with the dry power high-frequency power supply gateway is detected, it automatically switches to communication through the SCADA software of the dry power engineer station.

[0023] An electronic device includes a processor, a memory and a bus, wherein the processor and the memory are connected via the bus, wherein the memory is used to store a set of program codes, and the processor is used to call the program codes stored in the memory to execute an electrostatic precipitator optimization control method.

[0024] A non-volatile computer storage medium stores computer executable instructions, which can execute an electrostatic precipitator optimization control method.

[0025] Compared with the prior art, the present application has the following beneficial effects: the present application effectively reduces system energy consumption by coordinating control of dry and wet electricity and adjusting the dry electricity secondary current set value in real time according to the wet electricity concentration. The present application can automatically adapt to dry electricity sensor failure, switch to a control mode based on wet electricity concentration, and ensure stable operation. Energy saving optimization is realized by periodically adjusting the dry electricity electric field gradient parameter and combining data mining technology. In the case of flashover and temperature abnormalities, the present application has the ability of rapid response and flexible control, ensuring the safety of equipment and continuous operation of the system; the present application meets environmental protection requirements, reduces environmental pollution, improves energy utilization efficiency, and realizes the win-win of environmental and economic benefits by precisely controlling emissions. BRIEF DESCRIPTION OF DRAWINGS

[0026] Figure 1 The present application is a method flowchart.

[0027] Figure 2 The present application is a system structure schematic diagram. DETAILED DESCRIPTION

[0028] As shown in the accompanying drawings, Figure 1 the present application provides a technical solution: an electric dust removal optimization control method, comprising the following steps:

[0029] Step S1: based on electric dust removal energy consumption data mining, determine the optimal dry electricity electric field gradient, and set the initial range of the dry electricity secondary current set value and the wet electricity secondary current set value based on the dry electricity outlet concentration set value and the wet electricity outlet concentration set value.

[0030] Step S2: when the electric dust removal system is normally running, take concentration closed-loop control as the core: if the dry electricity outlet concentration sensor is normal, dynamically adjust the dry electricity secondary current set value according to the deviation between the dry electricity outlet concentration set value and the dry electricity outlet concentration feedback value (for example, if the feedback value is higher than the set value, increase the set value, otherwise, decrease the set value); if the dry electricity outlet concentration sensor is faulty, immediately switch the control logic, and simultaneously adjust the dry electricity secondary current set value and the wet electricity secondary current set value according to the deviation between the wet electricity outlet concentration set value and the wet electricity outlet concentration feedback value.

[0031] Step S3: during the daily control process of the electric dust removal system, if the wet electricity concentration real-time value > environmental protection high limit or the wet electricity concentration minute value > environmental protection high limit or the wet electricity hourly average value > environmental protection high limit , then increase the dry electricity secondary current set value (superimpose the preset current value); this process can reduce pollutants entering the wet electricity by strengthening the dry electricity treatment capacity, and promote the wet electricity outlet concentration to fall within the environmental protection limit value.

[0032] Step S4: When flashover occurs in the dry power, dual control is started, including flashover suppression and recovery and post-stage compensation in the channel (to compensate for the decrease in dust removal effect caused by flashover and maintain the stable operation of the entire electrostatic precipitator system).

[0033] Flashover suppression and recovery: If several electrical flashovers are greater than the flashover limit H, the dry power secondary current setting value is reduced at the maximum speed; if several electrical flashovers are less than the flashover limit H and last for 60s, the dry power secondary current setting value is adjusted back to the dry power secondary current setting value before the dry power flashover at the maximum speed, and the normal control of step S2 is restored.

[0034] Compensation for the subsequent stage within the channel: When several electric flashovers occur in the preceding electric field of the dry-current channel, while reducing the set value of the dry-current secondary current of the preceding electric field, the power of the flashover-free subsequent electric field within the same dry-current channel is increased (i.e., increasing the set value of the dry-current secondary current of the subsequent electric field, and compensating for the deficiency of the preceding electric field by strengthening the subsequent electric field).

[0035] Step S5: If the temperature of the IGBT is greater than the temperature limit of the dry IGBT, or the temperature of the transformer oil is greater than the temperature limit of the transformer oil, the set value of the dry secondary current is forcibly reduced (regardless of the control state of step S2, step S3 or step S4 at this time) until the temperature falls back to within the limit to ensure that the equipment is not damaged by overheating.

[0036] Step S6: When there is a faulty electric field in the dry electric channel, the dry electric secondary current setting value of other normal electric fields in the channel is automatically increased according to the number of faulty electric fields (by increasing the load of the normal electric field, the processing gap of the faulty electric field is made up and the overall dust removal efficiency of the dry electric channel is maintained).

[0037] In step S6, when the number of fault electric fields in the dry electric channel is 1, the normal electric field secondary current setting value increases by 30%; when the number of fault electric fields is 2, it increases by 50%; when the number of fault electric fields is 3, it increases by 70%; when the number of fault electric fields is 4, it increases by 90%.

[0038] Among them, "dry electric flashover" is a variable defined by the dry electric high-frequency power supply equipment manufacturer itself, and can be output externally. The specific meaning is: a large dry electric flashover indicates a high probability of cathode and anode electric sparks.

[0039] Among them, the first The secondary current setting value of the electric field is , represents the output of the closed-loop control (i.e. the set value of the dry secondary current after adjustment in step S2), Indicates the first Electric field gradient coefficient; such as =500, =0.8, then the secondary current setting value of the third electric field of the dry channel is 500*0.83 -1 =500*0.8 2 =500*0.64=320.

[0040] Among them, when the flashover increment coefficient =0.25, dry electric field gradient coefficient =0.8, then the first The setting value of the electric field secondary current is increased , Indicates the first Electric field gradient coefficient, Indicates the first Secondary current deviation of the electric field, secondary current deviation = secondary current set value - secondary current feedback value.

[0041] Among them, the set value of the wet electricity secondary current is adjusted to control the wet electricity outlet concentration near the set value.

[0042] The specific process of S5 is as follows:

[0043] 1. Calculate the power reduction factor J1 based on the 1-minute average value of the transformer oil temperature; calculate the power reduction factor J2 based on the maximum 1-minute average value of the dry IGBT temperature.

[0044] 2. Power reduction coefficient through broken line function It is calculated that, is the transformer oil temperature or dry IGBT temperature, is the transformer oil temperature limit or dry IGBT temperature limit, Indicates based on , a function that calculates the power reduction coefficient according to a given broken line relationship. Beyond The more, the smaller the power reduction coefficient, specifically:

[0045] J1 and J2 share a broken line relationship: = -5, the power reduction coefficient = 1; =-4, the power reduction coefficient = 0.9; =-3, the power reduction coefficient = 0.85; =-2, the power reduction coefficient = 0.75; = -0, the power reduction coefficient = 0.7.

[0046] 3. The final output secondary current setting value is the original secondary current setting value multiplied by the smaller value of J1 and J2.

[0047] The specific process of determining the optimal dry electrostatic field gradient is: the dry electrostatic field gradient is equal to the secondary current setting value of the previous stage divided by the secondary current setting value of the current stage; there are usually multiple different dry electrostatic field gradients, which can all control the dust concentration around the set value, but the energy consumption under different gradients is different, so there is an optimal dry electrostatic field gradient; the optimal control parameter, i.e. the optimal dry electrostatic field gradient, is determined by periodically adjusting the control parameter of the dry electrostatic field gradient and performing data mining according to the electric dust removal energy consumption data.

[0048] The optimal control parameter is automatically adjusted at the agreed start time and end time. If the reference value of the parameter is 0.8, the specific adjustment is as follows: From 0 to 4 o'clock every week 1, increase 0.1 based on the reference value; From 4 to 8 o'clock every week 2, increase 0.2 based on the reference value; From 8 to 12 o'clock every week 3, increase 0.3 based on the reference value; From 12 to 16 o'clock every week 4, decrease 0.1 based on the reference value; From 16 to 20 o'clock every week 5, decrease 0.2 based on the reference value; From 20 to 24 o'clock every week 6, decrease 0.3 based on the reference value.

[0049] Through the above adjustment, the value of the optimal control parameter is 0.5, 0.6, 0.7, 0.8, 0.9, 1, 1.1 in turn. In the steady state, the energy consumption corresponding to different control parameters under the same unit load is counted to find the optimal value and determine the best control parameter.

[0050] The specific process of step S6 is: when it is monitored that a dry electrostatic high-frequency power supply in the previous stage of the dry electrostatic channel flashes (the flashing equipment will run at a reduced power, causing the total dust removal capacity of the channel to decrease, thereby causing the emission to increase), in order to maintain the outlet concentration unchanged, other channels may need to increase the output, in order to reduce the output demand of non-flashing channels, the power of the subsequent non-flashing electric field corresponding to the flashing electric field in the dry electrostatic channel is selected to be increased to make up for the decrease in the dust removal capacity of the channel. Taking dry electrostatic channel A2 as an example, assuming that the secondary current deviation of the 1st electric field of the channel is 500-200=300, the flashing increment coefficient is 0.25, and the dry electrostatic field gradient coefficient is 0.8, then the secondary current setting value increment of each electric field is calculated as follows: The secondary current setting value increment of the 2nd electric field is: - )× × =300×0.25×0.8=60; wherein, Set value of secondary current, Secondary current feedback value; The third electric field secondary current set value increase amount: ( - ) × × × = 300 × 0.25 × 0.8 × 0.8 = 48; The fourth electric field secondary current set value increase amount: ( - ) × × × × = 300 × 0.25 × 0.8 × 0.8 × 0.8 ≈ 36; The fifth electric field secondary current set value increase amount: ( - ) × × × × × = 300 × 0.25 × 0.8 × 0.8 × 0.8 × 0.8 ≈ 32.

[0051] The total increase amount of each electric field secondary current set value is about 60 + 48 + 36 + 32 = 176.

[0052] As shown in Figure 2 , an electric dust removal optimization control system comprises an electric dust removal system and an optimization component; the optimization component comprises N optimization controllers (N ≤ 5 and N ≥ 2), a data network switch, a control network switch and an I / O gateway; the data network switch and the control network switch are connected with the N optimization controllers respectively; the data network switch and the control network switch are connected; the data network switch is connected with the I / O gateway, and the I / O gateway is connected with the electric dust removal system; each optimization controller stores various optimization strategies; The electrostatic precipitator system includes a DCS control system, a dry power control system, a wet power control system, a dry power high-frequency power supply gateway and a wet power high-frequency power supply gateway; the I / O gateway is connected to the electrostatic precipitator DCS control system; the electrostatic precipitator DCS control system is connected to the dry power control system and the wet power control system respectively; the dry power control system is connected to the dry power high-frequency power supply gateway; the wet power control system is connected to the wet power high-frequency power supply gateway; the I / O gateway collects the operating parameters of the electrostatic precipitator system (secondary current set value, secondary current feedback value, secondary voltage, IGBT temperature, transformer oil temperature, operation and vibration signals, etc.), and The data is sent to each optimization controller through the data network switch to generate optimization control instructions, and then the optimization control instructions are sent to the dry power control system and the wet power control system through the data network switch and the I / O gateway to control the dry power high-frequency power gateway and the wet power high-frequency power gateway to achieve dry power and wet power optimization control of the electrostatic precipitator; the operating parameters of the electrostatic precipitator include the dry / wet power secondary current set value, secondary current feedback value, secondary voltage, IGBT temperature, transformer oil temperature, operation and vibration signals; the dry power high-frequency power gateway and the wet power high-frequency power gateway are used to adjust the dry / wet power secondary current set value.

[0053] It also includes a continuous emissions monitoring system (CEMS) for monitoring dry electric high-frequency power gateways and wet electric high-frequency power gateways.

[0054] Among them, the optimization controller uses an embedded industrial computer, which includes a hardware watchdog. When the operating system blue screen occurs, the hardware watchdog program cannot feed the dog. After the embedded industrial computer continues to fail to receive the dog feeding signal, it triggers the operating system restart through hardware to restore the operating system.

[0055] The optimization controllers utilize heterogeneous systems, meaning their hardware uses different architectures (x64 and Arm). Different optimization controllers utilize different operating systems (Debian, Windows 10, Linux, etc.). These operating systems are hardened and have real-time patches installed, such as the PreemptRT real-time patch for Linux and the RTX real-time patch for Windows. Different optimization controllers utilize different real-time libraries (Redis and Garnet). Their relational databases can use either MySQL or Oracle.

[0056] Among them, operating system security hardening includes:

[0057] USB usage management: the USB storage device can only be started after entering the correct password.

[0058] Install the latest patches for the operating system, install antivirus software and firewalls, and disable high-risk ports.

[0059] The password in the configuration file is encrypted, and the software reads the ciphertext and decrypts it to obtain the correct password.

[0060] Each optimization controller is equipped with several software, including:

[0061] Communication software is used to interconnect with the electrostatic precipitator DCS control system and exchange data. It can also communicate with multiple dry power high-frequency power supply gateways.

[0062] Relationship library.

[0063] The real-time library is used to store the real-time data and description of each point in the memory, and supports other programs to call the interface to obtain the value and description of the point through the network, so as to reduce the complexity of the development and operation and maintenance of the electrostatic precipitator optimization control system.

[0064] The control strategy configuration software retrieves information about each virtual controller from the virtual controller list in the relational library. When a user clicks on a selected virtual controller, the software automatically reads information about each function block from the relational library's configuration table and displays it on a function page. After opening a function page, the user selects the desired function block and graphically configures each selected function block on the configuration interface. The user then configures the output and input parameters for each selected function block and stores the configuration information for each selected function block in the relational library.

[0065] The control strategy runtime software reads configuration data from the relational database and automatically backs up the configuration information to a file when the relational database is functioning properly. It retrieves the configuration information from the file when the relational database fails. When function block code is modified, the relevant information is assigned to a version string to identify and track code version changes. Upon startup, the runtime software automatically synchronizes the version information with the function block description information table in the relational database.

[0066] Program manager, including software door dog function, is used to manage various configured processes.

[0067] Data mining historical storage is used to read the point list from the data mining tag list table in the relational database. The fields in this table include ID, tag name, tag description, tag existence flag, tag storage table number, and tag storage column number. It obtains the name of each point and its corresponding storage table and column number. Based on the point list, it retrieves the real-time value of the corresponding data mining point from the real-time database. The obtained real-time data is saved to multiple historical storage tables in the relational database according to pre-set rules. Each historical storage table is structured with a time column and columns for values ​​1 through 100.

[0068] Time series history storage is used to read the point list of the time series number list table, obtain the value of the point in the list from the real-time library according to the name of the point, and save the real-time data to the time series library; the storage cycle is 1 second.

[0069] Alarm and event logging is used to record alarms and events in a relational database for subsequent data analysis.

[0070] The screen is used to display the process flow chart and its real-time changing data in a graphical way. You can right-click the measuring point to pop up a dialog box, and select the corresponding button to open the logic diagram, curve and point information of the measuring point.

[0071] curve.

[0072] Among them, the control strategy configuration software supports automatic backup after logic modification, self-linked historical storage and data mining after logic modification, and automatic recording of modified content after logic modification.

[0073] Among them, the control strategy operation software supports multiple functions, including: automatic testing of function blocks, heartbeat signal monitoring, function page call judgment, multi-cycle operation support, and automatic judgment of function block calculation sequence.

[0074] Automatic testing of function blocks: The configuration file is read at startup. If the "Enable automatic testing" parameter is 1, all function blocks are automatically instantiated in sequence, and the automatic testing interface of each function block is called. If the test fails, a log is recorded.

[0075] Heartbeat signal monitoring: The constantly changing heartbeat signal is written into a unified heartbeat signal file in each cycle so that the program manager can judge whether the control strategy runs the software normally.

[0076] Function page call judgment: Automatically determine whether the function page is called based on logic. Each function page contains 1 Page function block. If the input control permission = 1, the output control permission = 1; if the input control permission = 0, the output control permission = 0. Before the control strategy runs the software to calculate each function block, it checks whether the control permission of the corresponding function page = 1 before calculating, otherwise no calculation is performed.

[0077] Multi-cycle operation support: If parameter 2 of the Page function block = 1, it will be executed in each cycle. If parameter 2 = n, it will be executed once every n cycles.

[0078] Automatic determination of function block calculation order: Supports automatic determination of the calculation order of each function block, enabling arbitrary cascading of function blocks, and automatically calculates the calculation depth based on the signal flow. When a loop is encountered, the calculation depth can be manually specified to break the information flow loop.

[0079] The specific process of the program manager managing and configuring various processes is as follows:

[0080] Process information management: manage the start sequence number, display name, program path, start parameters, maximum allowed memory, maximum allowed CPU rate, maximum real-time library connection number, and maximum number of starts within 1 hour of each process.

[0081] Automatic start: automatically start the program manager when the operating system starts, and automatically start each process in the configured order by the program manager.

[0082] Periodic check: check the CPU usage, memory usage, heartbeat signal, and real-time library connection number of each process at regular intervals.

[0083] Fault detection and processing: if the process's heartbeat signal remains constant, CPU usage exceeds the set value, memory usage exceeds the set value, or real-time library connection number exceeds the set value, the program manager will perform corresponding processing:

[0084] If the number of starts within 1 hour does not exceed the maximum allowed number of starts, automatically restart the process.

[0085] If the maximum allowed number of starts has been reached or exceeded, do not restart and record relevant log information for subsequent troubleshooting.

[0086] The curve includes the following functions:

[0087] Data query and display: after the user selects the start time and end time, selects the bit number to be viewed, and the system displays the real-time and historical data of the measurement point in the specified period in the form of a curve, and calculates the maximum value, minimum value, and average value in that period.

[0088] Curve group support: supports curve group function, users can open multiple pre-configured curves at a time for viewing.

[0089] Data export and import: users can export curve data as a CSV file; they can also open existing CSV files to display them in the form of a curve.

[0090] Curve group management: has the functions of adding and displaying curve groups, which can meet the management needs of users for different curve groups.

[0091] Batch export: supports exporting data of multiple curve groups at a time, which is convenient for users to analyze and process large amounts of data.

[0092] Calculate curve function: supports calculating curves, which can further calculate and analyze curve data, providing users with more comprehensive data processing capabilities.

[0093] Timeline interaction: After the user clicks the timeline of the curve with the mouse to determine the new start and end time, the curve can be refreshed to re-acquire and display the data within the specified time range.

[0094] Among them, the programming language of various programs adopts C# or Java.

[0095] The high-frequency power supply gateway typically uses the Modbus TCP protocol as a communication server and can support multiple (e.g., eight) communication connections. The SCADA software in the high-frequency power supply station communicates with the gateway via Modbus TCP. The SCADA software also supports protocols such as OPC for communication with external systems.

[0096] In some power plants, gateways may fail over time due to age. This can prevent the optimization control system and third-party software from communicating properly with the high-frequency power supply. However, SCADA software, due to its stability and compatibility, can maintain communication with the high-frequency power supply even in the event of a gateway failure.

[0097] In order to improve the availability and reliability of the system, the present invention adopts a variety of communication protocol redundancy strategies. On the one hand, it communicates directly with the dry-electric high-frequency power supply gateway through the ModbusTCP protocol; on the other hand, it can also communicate through the dry-electric SCADA system through protocols such as OPC. When both communication methods are normal, the method of directly communicating with the dry-electric high-frequency power supply gateway is preferred. Once a communication failure with the dry-electric high-frequency power supply gateway is detected, it automatically switches to the backup method of communicating through the SCADA software. This design not only improves the overall availability of the system, but also effectively reduces the workload of maintenance personnel.

[0098] The electrostatic precipitator optimization control system of the present invention supports redundancy of different measurement points, which is achieved through the data acquisition function block. Each data acquisition function block is configured with two inputs, which correspond to measurement points of different communication protocols. The system automatically determines which output to use based on the frequency and range of data changes. Specifically:

[0099] To judge the input value of the data acquisition function block:

[0100] If the input value is within the upper and lower limits, the upper and lower limit coefficient k1=20; otherwise k1=0.

[0101] If the input value changes within the set time, the change coefficient k2=10; otherwise k2=0.

[0102] Calculate the reliability coefficient kSum of input 1 and input 2 respectively: kSum=k1+k2.

[0103] Compare kSum of input 1 and input 2:

[0104] If kSum of Input 1 ≥ kSum of Input 2, then Output = Input 1. For example, if both Input 1 and Input 2 change, and Input 1 is within the upper and lower limits but Input 2 is not, then Output = Input 1.

[0105] Otherwise, Output = Input 2. For example, if Input 1 and Input 2 are both within the upper and lower limits, and Input 1 remains unchanged while Input 2 changes, then Output = Input 2.

[0106] Among them, in the development stage of the function block, the interface and algorithm of the function block are first designed, and then the descriptive information of the designed function block is configured. This descriptive information includes but is not limited to: function block name, description, number of function block inputs, description of each input, number of outputs, description of each output, number of parameters and description of each parameter; specifically, the optimization target needs to be decomposed into one or more function blocks according to the requirements, and the above information of the designed function block is stored in the relational library.

[0107] Among them, in the function diagram configuration stage of the control strategy configuration software, select the required function block according to the operation requirements and configure its name, description, input, output and parameters. The specific operations are as follows:

[0108] Read the information of each function block from the relational library.

[0109] Select the required function blocks on the configuration interface and perform graphical configuration.

[0110] Configure the outputs, inputs, and parameters of the selected function block.

[0111] Click the Save button to save the configuration information of each selected function block into the relationship library.

[0112] The startup process of the control strategy running software is as follows:

[0113] Step 101: Connect to the real-time database. If the connection fails, exit. If the connection succeeds, proceed to the next step.

[0114] Step 102: Read the contents of the configuration file and the virtual controller list table in the relationship library, and instantiate each function block according to the read contents.

[0115] Step 103: Check whether the input bit number of the function block exists. If not, it indicates that the function block is incorrectly configured.

[0116] Step 104: Find the correlation between the input pins of each functional block and determine whether the data source is a real-time library or inside the program.

[0117] Step 105: Obtain the relevant information of the function block result bit number in the real-time library. If the result bit number does not exist in the real-time library, it is automatically added.

[0118] Step 106: Determine the calculation depth of the functional block.

[0119] Step 107: Initialize and check each functional block.

[0120] Step 108: Synchronize the information of all functional blocks into the functional block structure information table.

[0121] Step 109: Update the function block configuration, and automatically update the description and verification information.

[0122] Step 110: Update the description of the real-time storage point.

[0123] Step 111: Start the timer and enter the loop process.

[0124] The graphical configuration software and automatic backup function of the present invention simplify the configuration process and reduce the risk of errors. The multi-protocol communication redundancy design improves system availability and maintenance efficiency.

[0125] An electronic device includes a processor, a memory and a bus, wherein the processor and the memory are connected via the bus, wherein the memory is used to store a set of program codes, and the processor is used to call the program codes stored in the memory to execute an electrostatic precipitator optimization control method.

[0126] A non-volatile computer storage medium stores computer executable instructions, which can execute an electrostatic precipitator optimization control method.

Claims

1. An electrostatic precipitator optimization control method, characterized in that: The steps include: Step S1: Based on the electrostatic precipitator energy consumption data mining, the optimal dry electric field gradient is determined, and based on this, the initial range of the dry electric secondary current setting value and the wet electric secondary current setting value is set in combination with the dry electric outlet concentration setting value and the wet electric outlet concentration setting value; Step S2: When the electrostatic precipitator system is operating normally, the concentration closed-loop control is the core: if several electrostatic outlet concentration sensors are normal, the dry electric secondary current setting value is dynamically adjusted according to the deviation between the dry electric outlet concentration setting value and the dry electric outlet concentration feedback value; if several electrostatic outlet concentration sensors fail, the control logic is immediately switched, and the dry electric secondary current setting value and the wet electric secondary current setting value are synchronously adjusted according to the deviation between the wet electric outlet concentration setting value and the wet electric outlet concentration feedback value; Step S3: During the daily control process of the electrostatic precipitator system, if the real-time value of the wet electrostatic concentration is greater than the environmental protection upper limit Or the minute value of wet electric concentration > environmental protection upper limit Or the hourly average value of wet electricity is greater than the upper limit of environmental protection , then increase the dry secondary current setting value; Step S4: when a flashover occurs in the dry power, dual control is started, including flashover suppression and recovery control and post-stage compensation control in the channel; Step S5: if the temperature of the dry IGBT is greater than the limit of the dry IGBT temperature, or the temperature of the transformer oil is greater than the limit of the transformer oil temperature, the set value of the dry secondary current is forcibly reduced; Step S6: When a fault electric field exists in the dry power channel, the dry power secondary current setting values ​​of other normal electric fields in the channel are automatically increased according to the number of the fault electric fields.

2. The electrostatic precipitator optimization control method according to claim 1, characterized in that: The specific process of the flashover suppression and recovery control is as follows: if several electrical flashovers are greater than the flashover limit value H, the dry power secondary current setting value is reduced at the maximum speed; if several electrical flashovers are less than the flashover limit H and last for a specified time, the dry power secondary current setting value is adjusted back to the dry power secondary current setting value before the dry power flashover at the maximum speed; the specific process of the post-stage compensation control within the channel is as follows: if several electrical flashovers occur in the front-stage electric field of the dry power channel, while reducing the dry power secondary current setting value of the front-stage electric field, the power of the post-stage flashover-free electric field in the same dry power channel is increased.

3. The electrostatic precipitator optimization control method according to claim 2, characterized in that: In step S5, the power reduction coefficient J1 is calculated based on the 1-minute average value of the transformer oil temperature; the power reduction coefficient J2 is calculated based on the maximum value of the 1-minute average value of the dry power IGBT temperature; The power reduction coefficient is obtained by a broken line function It is calculated that, is the transformer oil temperature or dry IGBT temperature, is the transformer oil temperature limit or dry IGBT temperature limit, Indicates based on , the function for calculating the power reduction coefficient according to the given broken line relationship; J1 and J2 share the same broken line relationship: = -5, the power reduction coefficient = 1; =-4, the power reduction coefficient = 0.9; =-3, the power reduction coefficient = 0.85; =-2, the power reduction coefficient = 0.75; = -0, the power reduction coefficient = 0.7; the final output secondary current setting value is the original secondary current setting value multiplied by the smaller value of J1 and J2.

4. The electrostatic precipitator optimization control method according to claim 3, characterized in that: The specific process of determining the optimal dry electric field gradient is as follows: by regularly adjusting the dry electric field gradient and mining the average electrostatic precipitator energy consumption corresponding to different dry electric field gradients under the current unit load from the database, the dry electric field gradient with the minimum average electrostatic precipitator energy consumption is found, that is, the optimal dry electric field gradient; The dry electric field gradient is equal to the secondary current setting value of the previous dry electric field divided by the secondary current setting value of the current dry electric field.

5. An electrostatic precipitator optimization control system, used to execute an electrostatic precipitator optimization control method according to any one of claims 1 to 4, characterized in that: include: An electrostatic precipitator system and an optimization component; the optimization component includes N optimization controllers, a data network switch, a control network switch and an I / O gateway; the data network switch and the control network switch are respectively connected to the N optimization controllers; the data network switch and the control network switch are connected to each other; the data network switch is connected to the I / O gateway, and the I / O gateway is connected to the electrostatic precipitator system; the I / O gateway collects operating parameters of the electrostatic precipitator system and sends them to each optimization controller through the data network switch, generates optimization control instructions, and then sends the optimization control instructions to the electrostatic precipitator system through the data network switch and the I / O gateway to realize optimized control of the electrostatic precipitator system.

6. The electrostatic precipitator optimization control system according to claim 5, characterized in that: The electrostatic precipitator system includes a DCS control system, a dry power control system, a wet power control system, a dry power high-frequency power supply gateway and a wet power high-frequency power supply gateway; the I / O gateway is connected to the electrostatic precipitator DCS control system; the electrostatic precipitator DCS control system is respectively connected to the dry power control system and the wet power control system; the dry power control system is connected to the dry power high-frequency power supply gateway; the wet power control system is connected to the wet power high-frequency power supply gateway; the I / O gateway collects the operating parameters of the electrostatic precipitator system and sends them to each optimization controller through a data network switch to generate an optimization control instruction, and then sends the optimization control instruction to the dry power control system and the wet power control system through the data network switch and the I / O gateway to control the dry power high-frequency power supply gateway and the wet power high-frequency power supply gateway to achieve optimized control of the dry power and wet power of the electrostatic precipitator; the operating parameters of the electrostatic precipitator system include dry / wet power secondary current set value, secondary current feedback value, secondary voltage, IGBT temperature, transformer oil temperature, operation and vibration signals; the dry power high-frequency power supply gateway and the wet power high-frequency power supply gateway are used to adjust the dry / wet power secondary current set value.

7. The electrostatic precipitator optimization control system according to claim 6, characterized in that: The optimization controller adopts an embedded industrial computer and includes a hardware watchdog; the optimization controller adopts a heterogeneous system, that is, the hardware of the optimization controller adopts different architectures; different optimization controllers adopt different operating systems, the operating systems are security-reinforced, and real-time patches are installed; different optimization controllers adopt different real-time libraries; the relational library of the optimization controller adopts a MySQL database or an Oracle database.

8. The electrostatic precipitator optimization control system according to claim 7, characterized in that: The dry-type high-frequency power supply gateway uses the ModbusTCP protocol as the communication server; The SCADA software of the dry power engineer station communicates with the dry power high frequency power supply gateway via the ModbusTCP protocol; The optimization component communicates directly with the dry power high-frequency power supply gateway through the ModbusTCP protocol, and also communicates with the SCADA software of the dry power engineer station through the ModbusTCP protocol; when both communication methods are normal, the method of directly communicating with the dry power high-frequency power supply gateway is preferred. When a communication failure with the dry power high-frequency power supply gateway is detected, it automatically switches to communication through the SCADA software of the dry power engineer station.

9. An electronic device, characterized in that: It includes a processor, a memory and a bus, wherein the processor and the memory are connected via the bus, wherein the memory is used to store a set of program codes, and the processor is used to call the program codes stored in the memory to execute an electrostatic precipitator optimization control method as described in any one of claims 1 to 4.

10. A non-volatile computer storage medium storing computer executable instructions, characterized in that: The computer executable instructions execute the electrostatic precipitator optimization control method described in any one of claims 1-4.

Images