Intelligent control system capable of being controlled by few people and applied to coal-fired machine

Abstract

A wide-load cruise system, a hyper-fusion intelligent control system and an intelligent monitoring system are fused, the debugging process of power generation of the coal-fired machine is matched, a coal-fired power generation system is optimized, the coal-fired power generation system is more intelligent, and regulation and control are more scientific and accurate; a simulation model is established through an intelligent simulation module, data simulation and actual application are combined, model simulation serves as a reference, an actual parameter change model serves as a regulation and control index, on one hand, model data can better guide actual control to avoid non-target performance of blind adjustment, and the adjustment direction is specifically predicted;

Description

Technical Field

[0001] The present invention relates to the field of coal-fired power generation, and specifically to a smart control system for coal-fired power generation with few people. Background Art

[0002] At present, the construction of a new power system with new energy as the main body is the main goal of power plant construction, and the traditional coal-fired thermal power plant power generation will be positioned as a regulating power source in the existing power plant construction form, and will be responsible for deep peak-shaving and frequency regulation tasks for a long time; there are currently two main means for coal-fired thermal power plants to carry out peak-shaving and frequency regulation. One is to connect low-load coal-fired thermal power plants to the power generation units with new energy as the main body; mainly use new energy power generation units to generate electricity; traditional coal-fired thermal power plants are supplemented, but this method is not suitable for periods and areas with heavy electricity loads. There will be a problem of insufficient power supply in some areas; the generator sets based on new energy cannot fully supply electricity when the power load is very large; another method of using coal-fired thermal power plants for peak load regulation is to operate the coal-fired thermal power plants within a suitable power load range, and at the same time set up heat storage and energy storage devices in the coal-fired thermal power plants; use the heat storage and energy storage devices to store the excess heat of the coal-fired units when the power demand is low, and release the heat when the power demand is high, but this method is more complicated to control the heat storage and energy storage devices, and it is difficult to control the heat storage and energy storage devices The timing of auxiliary heating is set. At the same time, the coal quality and coal types are varied, mixed coal is burned, and the ash and coking problems are serious, making it difficult for the unit to operate safely, flexibly and efficiently. Based on the above problems in the prior art, it is urgent to solve how to operate the coal-fired unit power station in a wide load range under the control of an autonomous and controllable intelligent control system and how to comprehensively monitor the entire power generation process; and the intelligent control system for intelligent control of coal-fired unit power stations in the existing technology requires a large number of storage, calculation, control, and detection systems to control the various processes of coal powder transportation, combustion, gas turbine work and generator power generation; this leads to bloated data and complex control system hardware; how to integrate data storage and calculation control processes in various processes is also an urgent problem to be solved; the invention patent with publication number CN115407686A discloses a smart operation system for a thermal power plant, which discloses that a monitoring module, a wide load cruise module and a system real-time control module are set in a coal-fired unit power plant to perform real-time wide load range control of coal-fired generator sets; but it does not limit the specific control method and wide load range.

[0003] 1. Technical issues to be solved

[0004] In order to solve the above technical problems, the present invention provides an intelligent control system for coal-fired machines with less human control.

[0005] (II) Technical solution

[0006] A smart control system for coal-fired machines with few people controlling it; it includes a pulverized coal feeding device, a coal-fired boiler, a cold water pipe group, a power generation system, a hyper-converged intelligent control system, a wide-load cruise system, and a smart monitoring system.

[0007] The coal powder feeding device includes a coal block conveyor belt, a coal block weighing device, a coal powder grinder, a coal powder detection device, a coal powder collecting device, and an air flow pressurizing and heating machine.

[0008] Furthermore; the coal block conveyor belt is inclined and is arranged at one end of the coal block weighing device. One side end of the coal block weighing device is open and its interior is hollow. The open side end corresponds to the upper end position of the coal block conveyor belt. The coal blocks are transported by the coal block conveyor belt into the interior of the coal block weighing device.

[0009] Furthermore, a plurality of coal powder grinders are arranged at the lower end of the coal block weighing device, the upper end of the coal powder grinder is connected with the cavity of the coal block weighing device, the lower end of the coal powder grinder is a coal powder nozzle, and each coal powder nozzle corresponds to a coal powder detection device; the coal powder is sprayed from the coal powder nozzle into the coal powder detection device, and the coal powder is detected in the coal powder detection device to see if it is qualified.

[0010] Furthermore, a coal powder collecting device is correspondingly arranged at the lower end of each coal powder detection device, and an air flow pressurizing heater is arranged outside each coal powder collecting device, and the pressurizing heater is connected to the interior of the coal powder collecting device through a pipeline; the coal powder is introduced into the coal-fired boiler through the coal delivery pipeline by heating the pressurized air flow.

[0011] The pulverized coal feeding device is connected to the hyper-converged intelligent control system, and the coal feeding amount of the entire coal-fired feeding device is controlled by the hyper-converged intelligent control system.

[0012] Furthermore; a pulverized coal combustion chamber is provided in the coal-fired boiler, and a cold water pipe group is provided in the pulverized coal combustion chamber; the cold water pipe group includes a level I cold water pipe group horizontally arranged at the bottom of the combustion chamber, a level II cold water pipe group vertically arranged along the side wall of the combustion chamber, and a level III cold water pipe group horizontally arranged at the top of the combustion chamber, and the level I-III cold water pipe groups are interconnected and arranged in the combustion chamber; the cold water pipe group includes a plurality of cold water pipes arranged in parallel, the number of the cold water pipes is N, the cold water pipe group is connected to a water inlet device outside the coal-fired boiler, a water inlet control valve is provided at the connection between the water inlet device and each cold water pipe, and the water inlet device is connected to a hyper-converged intelligent control system, and the water inlet amount of each cold water pipe to the water inlet device is adjusted by the hyper-converged intelligent control system.

[0013] Furthermore, the end of the Class III cold water pipe group is connected to the steam drum; a reheat system is also provided in the coal-fired boiler, and the reheat system is provided as a reheat bin.

[0014] Furthermore; the power generation system is connected to the coal-fired boiler through a steam pipeline, the power generation system includes a gas turbine system, an auxiliary energy storage and heat storage device, and a generator system, the gas turbine system includes a high-power cylinder, a medium-power cylinder and a low-power cylinder; the high-power cylinder, the medium-power cylinder and the low-power cylinder are connected through a steam pipeline.

[0015] Furthermore, the air bag in the coal-fired boiler and the high-power cylinder of the gas turbine unit are connected through a steam pipe, and a control valve I is provided on the steam pipe. A pressurizing device I and a bypass pipe I in parallel are also provided on the steam pipe between the air bag and the high-power cylinder, and a control valve II and an energy and heat storage device I are provided on the bypass pipe I.

[0016] Furthermore, the high-power cylinder and the medium-power cylinder are connected through a steam pipe; a pressurizing device II is connected to the steam pipe between the high-power cylinder and the medium-power cylinder, the medium-power cylinder and the reheating bin in the coal-fired boiler are connected through a reheating pipeline, a bypass pipeline II is connected to the reheating pipeline, and a control valve III is provided at the same time, and an energy storage and heat storage device II and a control valve IV are provided on the bypass pipeline II.

[0017] Furthermore, a steam pipe is connected between the medium-power cylinder and the low-power cylinder, a pressurizing device III and a control valve V are arranged on the steam pipe between the medium-power cylinder and the low-power cylinder, and a bypass pipe IV is connected in parallel, and an energy storage and heat storage device III and a control valve VI are connected to the bypass pipe IV.

[0018] Furthermore, the output end of the low-power cylinder is connected back to the coal-fired boiler through a return air pipe, and a condenser is provided on the return air pipe. The exhaust gas is condensed into cold water after heat exchange through the condenser and circulated back to the coal-fired boiler.

[0019] Furthermore, the gas turbine system includes a plurality of gas turbines, each of which is connected to the coal-fired boiler in the same manner.

[0020] Furthermore, the hyper-converged intelligent control system includes multiple hyper-converged intelligent control modules and intelligent simulation modules, and the multiple hyper-converged intelligent control modules and intelligent simulation modules are arranged in the same intelligent hardware box; each hyper-converged intelligent control module is further divided into a coal powder feeding device coal feeding control module, a cold water pipe group control module, and a power generation system control module; the coal powder feeding device coal feeding control module includes a coal block input quantity data calculation module, a coal block input quantity data storage module, and a coal block input quantity control module; the coal block input quantity calculation module calculates the coal powder feed amount in real time through signal transmission with the coal powder feeding device, and the coal block input quantity data storage module The calculated amount of pulverized coal is stored, and the coal block input quantity control module controls the pulverized coal feed amount through the final control command; the cold water pipe group control module includes a cold water pipe group water inlet data calculation module, a cold water pipe group water inlet data storage module, and a cold water pipe group water inlet control module. The cold water pipe group water inlet calculation module calculates the total water inlet of the cold water pipe group, the cold water pipe group water inlet data storage module stores the total water inlet data, and the cold water pipe group water inlet control module controls the water inlet of the cold water pipe group; the power generation system control module includes a power generation system data volume storage module, a power generation system data volume calculation module, and a power generation system load regulation control module.

[0021] Furthermore, the calculation, storage and control data of the coal intake, water intake and power generation system are integrated and managed in each hyper-converged intelligent control module. Each hyper-converged intelligent control module includes three management units: coal intake, water intake and power generation system. The data in the three management units are transmitted to each other, and the data between the three management modules are transmitted horizontally. When adjusting the load, the increase or decrease data of the coal intake, water intake and auxiliary energy storage device during adjustment are determined according to the data of the coal intake, water intake and power generation load in each control module, and the final control is performed.

[0022] Furthermore, the intelligent simulation module simulates the load adjustment strategy and adjustment method of the entire coal-fired power generation device.

[0023] Furthermore, the wide load cruise system dynamically predicts the power load conditions of the entire power grid system and transmits the dynamic prediction data to the hyper-converged intelligent control system for comparison.

[0024] Furthermore, the hyper-converged intelligent control system, wide-load cruise system and smart monitoring system cooperate with each other; the smart monitoring system monitors the real-time status and data of power demand, power load peak, power load standard value, coal supply, water supply and power generation system, and transmits the monitoring data to the hyper-converged intelligent control system and wide-load cruise system; the hyper-converged intelligent control system and wide-load cruise system ensure that the entire coal-fired power generation system operates within the range of load peak to load valley.

[0025] The working steps of the coal-fired machine intelligent control system include:

[0026] S1. Debugging simulation phase:

[0027] The model is established by using the intelligent simulation module, and the intelligent control system is simulated and adjusted with variable parameters. The full-segment data within the wide load adjustment range each time are collected and stored. Through analysis, a full-segment data set is formed, including the preset load value, the actual load value, the time point of each load adjustment, the time point when the expected load is reached, and the load time change curve is drawn; wherein, the variable parameter simulation adjustment refers to: changing one or more groups of parameters of the energy storage, coal intake, and cooling water adjustment of the intelligent control system for adjustment; setting the proportion of the adjustment method of the power grid load adjustment in the intelligent control module through the intelligent simulation module, setting the proportion of adjustment through the energy storage device to A, setting the proportion of adjustment through the cold water pipe group to B, and setting the proportion of adjustment through the coal intake of the coal-fired boiler to Z; initialization setting A>B�>Z; formulating a load adjustment plan for different parameter conditions of the system, including the preset time point of load adjustment, and executing the simulated load adjustment step according to the plan; after completing a pre-adjustment step, storing the data of the pre-adjustment step and drawing the load change curve over time, obtaining the simulated load peak value and the simulated load valley value, and establishing a simulated data group.

[0028] S2. Actual load adjustment operation steps

[0029] During the actual load adjustment process, the load changes of the system are monitored in real time through the intelligent monitoring system, and the real-time load changes are compared with the simulated data group. The closest data group is automatically matched for comparison, and a predetermined load adjustment plan is formulated. The load adjustment is performed according to the predetermined plan. The analysis module of the controller performs load change analysis at each time point. When the difference X between the actual load value and the simulated value before the load adjustment is within the set threshold a range, the load is adjusted according to the simulated adjustment steps;

[0030] When the difference X of at least three consecutive time points is outside the threshold a, the actual load value Q at which the difference between the actual load value and the simulated value is outside the threshold is taken as the first occurrence. m1 For the first set of data, record the actual load value Q at the second time point outside the threshold range m2 , load value Q at subsequent time point mn , calculate the load change per unit time |Q mn -Q m(n-1) | / t, calculate the load that the energy storage device can input or output per unit time |Q c | / t;

[0031] Calculate the load value Q that the system needs to increase or decrease to reach the target load value 调, detect and estimate the remaining load Q that can be input or output by the energy storage device at this time 剩 ;

[0032] If Q 调 Less than or equal to Q 剩 , and |Q mn -Q m(n-1) | / t=|Q c | / t or |Q mn -Q m(n-1) | / t<|Q c | / t, it is prompted to execute only the strategy of adjusting the load through the existing energy storage strategy, otherwise, it is prompted to adjust the load through backup energy storage devices or other adjustment methods.

[0033] During load regulation, the amount of backup energy storage device connected is calculated according to the following formula: Q L =|Q 调 -Q 剩 |, if the energy that a single backup energy storage device can store or release is Q p , if Q L >Q p , need to access ((Q L / Q p )+1) energy storage device; if Q L =Q p , or Q L p , an energy storage device needs to be connected.

[0034] Furthermore, the expected change trend diagram of the load regulation of the entire power grid system is drawn according to the change speed of the dynamic load: the speed of load change when the wide load regulation is adjusted from high load to low load is: V n =(Q n -Q n+1 ) / t, the speed of load change when adjusting from low load to high load is V n =(Q n+1 -Q n ) / t, Vavg=(V1+V2+V3...+V n ) / n, n represents a positive integer; it is expected that the T x The time point is load, and the load is Q x =Q0+T x *V average, or Q x =Q0-T x *V average, t is unit time, Q n is the load size at the nth time point; according to the load change speed diagram, the load change trend is predicted, and thus the estimated time point T required from the beginning of adjustment to reaching the expected load can be calculated x .​

[0035] Furthermore, when adjusting the load by increasing the load, when the adjustment of the energy storage device reaches the limit, the adjustment is achieved by increasing the water inlet of the cold water pipe group, detecting the real-time load growth rate Φ0 before the increase of the water inlet, and the load growth rate Φ1 after the increase of the water inlet, when Φ1>Φ0 or Φ1=Φ0, maintaining the existing adjustment state; when Φ1<Φ0, adjusting by increasing the coal inlet of the coal-fired boiler; when adjusting the load by decreasing the load, when the adjustment of the energy storage device reaches the limit, adjusting by reducing the water inlet of the cold water pipe group, detecting the real-time load deceleration Φ0 before the reduction of the water inlet, and the load deceleration Φ1 after the reduction, when Φ1>Φ0 or Φ1=Φ0, maintaining the existing state; when Φ1<Φ0, adjusting by reducing the coal inlet of the coal-fired boiler; wherein Φ1, Φ0 are calculated based on the absolute value of the load difference; maintaining the existing state means that the opening and flow rate of the relevant valves are used as the basis for measurement during the control process, and the valve opening size and coal consumption after the existing adjustment are maintained.

[0036] Maintaining the existing status means that the opening and closing degree of relevant valves, flow rate, etc. are controlled as the basis for measurement during the control process, and the existing adjusted valve opening size, coal consumption, etc. are maintained.

[0037] Furthermore, when increasing the load, the real-time load detection of the intelligent monitoring system is used to dynamically predict the dynamic load peak value λ according to the wide load cruise system through the real-time load detection during adjustment. t , according to the dynamic prediction load peak λ t The actual difference compared with the load peak value λ0 simulated by the intelligent simulation module in the hyper-converged intelligent control system determines the specific adjustment method of the water inlet of the cold water pipe group and the coal inlet of the coal-fired boiler, and selects the adjustment method in sequence according to the proportion of each adjustment method; when 1>(λ t -λ0) / λ0>0, in addition to opening all energy storage devices for auxiliary power generation, the water inlet of the cold water pipe group is adjusted, and the water inlet adjustment control is controlled by the intelligent control module; t -λ0) / λ0>1, the coal intake of the coal-fired boiler is increased on the basis of opening all energy storage devices for auxiliary power generation and increasing the water intake of the cold water pipe group. The adjustment of the coal intake is controlled by the intelligent control module.

[0038] Furthermore, when all energy storage devices release heat to assist power generation, and the water inflow of the cold water pipe and the coal inflow of the coal-fired boiler begin to be adjusted to increase the power generation of the power generation system to increase the load, the data volume in the coal powder feeding device coal inflow control module, the cold water pipe group control module, and the power generation system control module in each hyper-converged intelligent control module is monitored. If it is detected that the data volume storage space in a hyper-converged intelligent control module is insufficient, the data is transferred to a similar intelligent control module. The final number of intelligent control modules is determined by the adjustment data of the coal powder feeding device coal inflow control module, the cold water pipe group control module, and the power generation system control module for the coal powder feeding volume, the cold water pipe group water inflow, and the auxiliary energy storage device in the power generation system. .

[0039] Furthermore, the wide load cruise system transmits signals to the hyper-converged intelligent control system, which controls the energy storage and heat storage devices corresponding to the high-power cylinders, medium-power cylinders, and low-power cylinders of the gas turbine system in the power generation system to output heat to the generator for auxiliary power generation.

[0040] Furthermore, the adjustment method of the power grid load regulation can be set according to the actual working conditions. The adjustment method adopted in this application is set with a ratio of Α>Β>Z.

[0041] Furthermore, the threshold a can be determined according to the following method: in the debugging simulation stage, multiple simulation debuggings are run under the same parameter adjustment mode, the load values ​​at different time points are recorded each time, and multiple data are integrated to select different load values ​​at the same time point, filter them into groups, compare the size of the difference in the group, calculate the maximum value amax and the minimum value amin of the difference, and the range of the threshold a is [amin, amax].

[0042] Furthermore, during the debugging simulation stage, a neural network model can be used to integrate and process various data and predict the corresponding data.

[0043] (3) Beneficial effects;

[0044] The present invention integrates the wide load cruise system, the hyper-converged intelligent control system, and the intelligent monitoring system, and cooperates with the debugging process of coal-fired power generation to optimize the coal-fired power generation system, making it more intelligent, more scientific and accurate in regulation; establishes a simulation model through an intelligent simulation module, combines data simulation with practical application, takes model simulation as a reference, and takes the actual parameter change model as the index of regulation. On the one hand, the model data can better guide the actual control to avoid the blind adjustment without a target, and has a specific prediction of the direction of adjustment; on the other hand, in actual regulation, the control strategy is adjusted by intelligently judging the changes of various indicators, aiming to adjust more energy-saving, efficient, and intelligently, avoiding the lag and untimeliness in the actual adjustment process, so that the system can operate more stably according to the established plan. By optimizing the design of the proportion of adjustment, the regulation can be made more intelligent, the energy storage can be fully utilized to reduce energy loss, the cooling water and coal quantity can be used sequentially for regulation, the energy saving and emission reduction can be maximized, the resource utilization can be optimized, and a series of strategies for using regulation nodes are integrated to finely control the load adjustment, and the wide load regulation can be realized with maximum stability. The system can use a specific calculation model to realize the visualization of related loads, making the regulation more intelligent and convenient. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Attached Figure 1 This is a schematic diagram of the coal powder feeding device.

[0046] Attached Figure 2 Schematic diagram of a coal-fired boiler.

[0047] Attached Figure 3 This is a schematic diagram of the coal powder combustion chamber of Example 1.

[0048] Attached Figure 4 Schematic diagram of a power generation system according to Embodiment 1.

[0049] Attached Figure 5 This is a schematic diagram of the coal powder combustion chamber of Example 2.

[0050] Attached Figure 6 This is a schematic diagram of a power generation system according to Embodiment 2.

[0051] Attached Figure 7 Schematic diagram of a hyper-converged intelligent control system.

[0052] 1-coal conveyor belt; 2-coal weighing device; 3-coal powder grinding machine; 4-coal powder detection device; 5-coal powder collecting device; 6-air flow pressurized heating machine Ⅰ; 7-coal conveying pipeline; 8-coal-fired boiler; 9-cold water pipe group; 10-steam drum; 11-reheating bin; 12-pressurizing device Ⅰ; 13-bypass pipeline Ⅰ; 14-energy storage and heat storage device Ⅰ; 15-control valve Ⅱ; 16-reheating pipeline; 17-control Valve Ⅰ; 18-high power cylinder; 19-bypass pipeline Ⅱ; 20-control valve Ⅳ; 21-energy storage device Ⅱ; 22-control valve Ⅲ; 23-medium power cylinder; 24-pressurizing device Ⅱ; 25-pressurizing device Ⅲ; 26-bypass pipeline Ⅲ; 27-control valve Ⅵ; 28-energy storage device Ⅲ; 29-control valve Ⅴ; 30-low power cylinder; 31-condenser; 32-coal powder combustion chamber DETAILED DESCRIPTION

[0053] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0054] Embodiment 1:

[0055] A smart control system for coal-fired machines with few people controlling the machine; comprising a coal powder feeding device, a coal-fired boiler, a cold water pipe group, a power generation system, a hyper-convergent intelligent control system, a wide load cruise system, and a smart monitoring system; the coal powder feeding device comprises a coal block conveyor belt (1), a coal block weighing device (2), a coal powder grinder (3), a coal powder detection device (4), a coal powder collection device (5), and an air flow pressurizing heating machine I (6).

[0056] As attached Figure 1-2As shown in the figure: the coal lump conveyor belt (1) is inclined and is arranged at one end of the coal lump weighing device (2); one side end of the coal lump weighing device (2) is open and its interior is hollow; the open side end corresponds to the upper end position of the coal lump conveyor belt; the coal lump enters the interior of the coal lump weighing device (2) after being transported by the coal lump conveyor belt (1); the coal lump is quantitatively weighed by the coal lump weighing device; a plurality of coal powder grinders (3) are arranged at the lower end of the coal lump weighing device (2); the upper end of the coal powder grinders (3) is connected to the hollow cavity of the coal lump weighing device (2); the lower end of the coal powder grinders (3) is connected to the hollow cavity of the coal lump weighing device (2); The invention relates to a coal powder spraying nozzle, each of which corresponds to a coal powder detection device (4); the coal powder is sprayed from the coal powder spraying nozzle into the coal powder detection device (4), and the coal powder is detected in the coal powder detection device (4) to see whether it is qualified; a coal powder collecting device (5) is correspondingly arranged at the lower end of each coal powder detection device (4), and an air flow pressurizing heating machine I (6) is arranged outside each coal powder collecting device (5), and the air flow pressurizing heating machine I (6) is connected to the inside of the coal powder collecting device (5) through a coal conveying pipeline (7); the coal powder is passed into a coal-fired boiler (8) by heating the pressurized air flow.

[0057] As attached Figure 3 As shown: a coal-fired boiler (8) is provided with a pulverized coal combustion chamber, and a cold water pipe group (9) is provided in the pulverized coal combustion chamber; the cold water pipe group (9) includes a level I cold water pipe group horizontally arranged at the bottom of the combustion chamber, a level II cold water pipe group vertically arranged along the side wall of the combustion chamber, and a level III cold water pipe group horizontally arranged at the top of the combustion chamber, and the level I-III cold water pipe groups are interconnected and arranged in the combustion chamber; the cold water pipe group includes a plurality of cold water pipes arranged in parallel, each cold water pipe is connected to a water inlet device outside the coal-fired boiler, and a water inlet control valve is provided at the connection between the water inlet device and each cold water pipe, and the water inlet device is connected to a hyper-converged intelligent control system, and the water inlet amount of the water inlet device to each cold water pipe is adjusted by the hyper-converged intelligent control system; the water inlet amount of the cold water pipe determines the amount of hot steam entering the power generation system

[0058] The end of the Class III cold water pipe group is connected to the steam drum (10); a reheating system is also provided in the coal-fired boiler (8), and the reheating system is provided as a reheating bin (11).

[0059] As attached Figure 4As shown: the power generation system is connected to the coal-fired boiler (8) through a steam pipeline, the power generation system includes a gas turbine system, and the gas turbine system includes a high-power cylinder (18), a medium-power cylinder (23) and a low-power cylinder (30); the high-power cylinder (18) and the medium-power cylinder (23) and the low-power cylinder (30) are connected through a steam pipeline; the steam drum (10) in the coal-fired boiler (8) and the high-power cylinder (18) of the gas turbine unit are connected through a steam pipeline, and a control valve I is provided on the steam pipeline (17), a pressurizing device I (12) and a bypass pipe I (13) are also provided on the steam pipeline between the steam drum (10) and the high-power cylinder (18), and a control valve II (15) and an energy storage device I (14) are provided on the bypass pipe I (13); the high-power cylinder (18) and the medium-power cylinder (23) are connected through a steam pipeline; a pressurizing device II (24) is connected to the steam pipeline between the high-power cylinder (18) and the medium-power cylinder (23), and the medium-power cylinder (23) is connected to the steam pipeline between the high-power cylinder (18) and the medium-power cylinder (23). ) is connected to a reheating chamber (11) in a coal-fired boiler (8) through a reheating pipeline (16), a bypass pipeline II (19) is connected to the reheating pipeline (16), and a control valve III (22) is provided, and an energy storage and heat storage device II (21) and a control valve IV (20) are provided on the bypass pipeline II (19); a steam pipeline is connected between the medium-power cylinder (23) and the low-power cylinder (30), and a pressurizing device III (25) is provided on the steam pipeline between the medium-power cylinder (23) and the low-power cylinder (30) and a control valve V (29) and a bypass pipe III (26) in parallel, the bypass pipe III (26) is connected to an energy storage device III (28) and a control valve VI (27); the output end of the low-power cylinder (30) is connected back to the coal-fired boiler through a return air pipe, a condenser (31) is arranged on the return air pipe, the exhaust gas is condensed into cold water after heat exchange through the condenser and circulated back to the coal-fired boiler (8); the gas turbine system includes a plurality of gas turbines, each of which is connected to the coal-fired boiler (8) in the same connection manner.

[0060] like Figure 7As shown: the hyper-converged intelligent control system includes multiple hyper-converged intelligent control modules and intelligent simulation modules, and the multiple hyper-converged intelligent control modules and intelligent simulation modules are arranged in the same intelligent hardware box; each hyper-converged intelligent control module is further divided into a coal powder feeding device coal feeding control module, a cold water pipe group control module, and a power generation system control module; the coal powder feeding device coal feeding control module includes a coal block input quantity data calculation module, a coal block input quantity data storage module, and a coal block input quantity control module; the coal block input quantity calculation module calculates the coal powder feed amount in real time through signal transmission with the coal powder feeding device, and the coal block input quantity data storage module calculates the coal powder feed amount in real time The calculated amount of pulverized coal is stored, and the coal block input quantity control module controls the pulverized coal feed amount through the final control command; the cold water pipe group control module includes a cold water pipe group water inlet data calculation module, a cold water pipe group water inlet data storage module, and a cold water pipe group water inlet control module. The cold water pipe group water inlet calculation module calculates the total water inlet of the cold water pipe group, the cold water pipe group water inlet data storage module stores the total water inlet data, and the cold water pipe group water inlet control module controls the water inlet of the cold water pipe group; the power generation system control module includes a power generation system data volume storage module, a power generation system data volume calculation module, and a power generation system load regulation control module.

[0061] The calculation, storage and control data of the coal intake, water intake and power generation systems are integrated and managed in each hyper-converged intelligent control module. Each hyper-converged intelligent control module includes three management units: coal intake, water intake and power generation systems. The data in the three management units are transmitted to each other, and the data between the three management modules are transmitted horizontally. When adjusting the load, the increase or decrease data of the coal intake, water intake and auxiliary energy storage device during adjustment are determined according to the data of the coal intake, water intake and power generation load in each control module, and the final control is performed.

[0062] The intelligent simulation module simulates the load adjustment strategy and adjustment method of the entire coal-fired power generation device.

[0063] The wide load cruise system dynamically predicts the power load conditions of the entire power grid system, and transmits the dynamic prediction data to the hyper-converged intelligent control system for comparison.

[0064] The hyper-converged intelligent control system, wide-load cruise system and smart monitoring system cooperate with each other; the smart monitoring system monitors the real-time status and data of power demand, power load peak, power load standard value, coal supply, water supply and power generation system, and transmits the monitoring data to the hyper-converged intelligent control system and wide-load cruise system; the hyper-converged intelligent control system and wide-load cruise system ensure that the entire coal-fired power generation system operates within the range of load peak to load valley.

[0065] The working steps of the coal-fired machine intelligent control system include:

[0066] S1. Debugging simulation phase:

[0067] The model is established by using the intelligent simulation module, and the intelligent control system is simulated and adjusted with variable parameters. The full-segment data within the wide load adjustment range each time are collected and stored. Through analysis, a full-segment data set is formed, including the preset load value, the actual load value, the time point of each load adjustment, the time point when the expected load is reached, and the load time change curve is drawn; wherein, the variable parameter simulation adjustment refers to: changing one or more groups of parameters of the energy storage, coal intake, and cooling water adjustment of the intelligent control system for adjustment; setting the proportion of the adjustment method of the power grid load adjustment in the intelligent control module through the intelligent simulation module, setting the proportion of adjustment through the energy storage device to A, setting the proportion of adjustment through the cold water pipe group to B, and setting the proportion of adjustment through the coal intake of the coal-fired boiler to Z; initialization setting A>B�>Z; formulating a load adjustment plan for different parameter conditions of the system, including the preset time point of load adjustment, and executing the simulated load adjustment step according to the plan; after completing a pre-adjustment step, storing the data of the pre-adjustment step and drawing the load change curve over time, obtaining the simulated load peak value and the simulated load valley value, and establishing a simulated data group.

[0068] S2. Actual load adjustment operation steps

[0069] During the actual load adjustment process, the load changes of the system are monitored in real time through the intelligent monitoring system, and the real-time load changes are compared with the simulated data group. The closest data group is automatically matched for comparison, and a predetermined load adjustment plan is formulated. The load adjustment is performed according to the predetermined plan. The analysis module of the controller performs load change analysis at each time point. When the difference X between the actual load value and the simulated value before the load adjustment is within the set threshold a range, the load is adjusted according to the simulated adjustment steps;

[0070] When the difference X of at least three consecutive time points is outside the threshold a, the actual load value Q at which the difference between the actual load value and the simulated value is outside the threshold is taken as the first occurrence. m1 For the first set of data, record the actual load value Q at the second time point outside the threshold range m2 , load value Q at subsequent time point mn , calculate the load change per unit time |Q mn -Q m(n-1) | / t, calculate the load that the energy storage device can input or output per unit time |Q c | / t;

[0071] Calculate the load value Q that the system needs to increase or decrease to reach the target load value 调, detect and estimate the remaining load Q that can be input or output by the energy storage device at this time 剩 ;

[0072] If Q 调 Less than or equal to Q 剩 , and |Q mn -Q m(n-1) | / t=|Q c | / t or |Q mn -Q m(n-1) | / t<|Q c | / t, it is prompted to execute only the strategy of adjusting the load through the existing energy storage strategy, otherwise, it is prompted to adjust the load through backup energy storage devices or other adjustment methods.

[0073] During load regulation, the amount of backup energy storage device connected is calculated according to the following formula: Q L =|Q 调 -Q 剩 |, if the energy that a single backup energy storage device can store or release is Q p , if Q L >Q p , need to access ((Q L / Q p )+1) energy storage device; if Q L =Q p , or Q L p , an energy storage device needs to be connected.

[0074] The expected change trend diagram of the load regulation of the entire power grid system is drawn according to the change speed of the dynamic load: the speed of load change when the wide load regulation is adjusted from high load to low load is: V n =(Q n -Q n+1 ) / t, the speed of load change when adjusting from low load to high load is V n =(Q n+1 -Q n ) / t, Vavg=(V1+V2+V3...+V n ) / n, n represents a positive integer; it is expected that the T x The time point is load, and the load is Q x =Q0+T x *V average, or Q x =Q0-T x *V average, t is unit time, Q n is the load size at the nth time point; according to the load change speed diagram, the load change trend is predicted, and thus the estimated time point T required from the beginning of adjustment to reaching the expected load can be calculated x . ​

[0075] When adjusting the load by increasing the load, when the adjustment of the energy storage device reaches the limit, the adjustment is achieved by increasing the water inlet of the cold water pipe group, detecting the real-time load growth rate Φ0 before the increase of the water inlet, and the load growth rate Φ1 after the increase of the water inlet. When Φ1>Φ0 or Φ1=Φ0, the existing adjustment state is maintained; when Φ1<Φ0, the adjustment is performed by increasing the coal inlet of the coal-fired boiler; when adjusting the load by decreasing the load, when the adjustment of the energy storage device reaches the limit, the adjustment is achieved by reducing the water inlet of the cold water pipe group, detecting the real-time load deceleration Φ0 before the reduction of the water inlet, and the load deceleration Φ1 after the reduction. When Φ1>Φ0 or Φ1=Φ0, the existing state is maintained; when Φ1<Φ0, the adjustment is performed by reducing the coal inlet of the coal-fired boiler; wherein Φ1 and Φ0 are calculated based on the absolute value of the load difference; maintaining the existing state means that the opening and flow rate of the relevant valves are used as the basis for measurement during the control process, and the valve opening size and coal consumption after the existing adjustment are maintained.

[0076] Maintaining the existing status means that the opening and closing degree of relevant valves, flow rate, etc. are controlled as the basis for measurement during the control process, and the existing adjusted valve opening size, coal consumption, etc. are maintained.

[0077] When increasing the load, the real-time load detection of the intelligent monitoring system is used to dynamically predict the load peak value λ according to the wide load cruise system. t , according to the dynamic prediction load peak λ t The actual difference compared with the load peak value λ0 simulated by the intelligent simulation module in the hyper-converged intelligent control system determines the specific adjustment method of the water inlet of the cold water pipe group and the coal inlet of the coal-fired boiler, and selects the adjustment method in sequence according to the proportion of each adjustment method; when 1>(λ t -λ0) / λ0>0, in addition to opening all energy storage devices for auxiliary power generation, the water inlet of the cold water pipe group is adjusted, and the water inlet adjustment control is controlled by the intelligent control module; t -λ0) / λ0>1, the coal intake of the coal-fired boiler is increased on the basis of opening all energy storage devices for auxiliary power generation and increasing the water intake of the cold water pipe group. The adjustment of the coal intake is controlled by the intelligent control module.

[0078] When all energy storage devices are releasing heat to assist in power generation, and the water inlet of the cold water pipe and the coal inlet of the coal-fired boiler begin to be adjusted to increase the power generation of the power generation system to increase the load, the data volume in the pulverized coal feeding device coal inlet control module, the cold water pipe group control module, and the power generation system control module in each hyper-converged intelligent control module is monitored. If it is detected that the data volume storage space in a certain hyper-converged intelligent control module is insufficient, the data is transferred to a similar intelligent control module. The final number of intelligent control modules is determined by the adjustment data of the pulverized coal feeding device coal inlet control module, the cold water pipe group control module, and the power generation system control module for the pulverized coal feed volume, the cold water pipe group water inlet, and the auxiliary energy storage device in the power generation system.

[0079] The wide-load cruise system transmits signals to the hyper-converged intelligent control system, which controls the energy storage and heat storage devices corresponding to the high-power cylinders, medium-power cylinders, and low-power cylinders of the gas turbine system in the power generation system to output heat to the generator for auxiliary power generation.

[0080] The adjustment method of the power grid load regulation can be set according to the actual working conditions. The adjustment method adopted in this application is set with a ratio of Α>Β>Z.

[0081] The threshold a can be determined by the following method: In the debugging simulation stage, run multiple simulation debuggings under the same parameter adjustment mode, record the load values ​​at different time points each time, integrate multiple data, select different load values ​​at the same time point, filter them into groups, compare the size of the difference in the group, calculate the maximum value amax and the minimum value amin of the difference, and the range of the threshold a is [amin, amax].

[0082] During the debugging and simulation stage, a neural network model can be used to integrate and process various data and make predictions on the corresponding data.

[0083] Embodiment 2:

[0084] As attached Figure 1-2 As shown: a coal powder collecting device (5) is correspondingly arranged at the lower end of each coal powder detection device (4), and an air flow pressurizing heater (6) corresponding thereto is arranged outside each coal powder collecting device (5), and each pressurizing heater (6) has a different heating and pressurizing effect on the coal powder; the coal powder is introduced into the coal-fired boiler (8) through the heated pressurized air flow.

[0085] As attached Figure 5As shown: two pulverized coal combustion chambers are arranged in a coal-fired boiler (8), and a cold water pipe group (9) is arranged in each pulverized coal combustion chamber; the cold water pipe group (9) includes a first-level cold water pipe group horizontally arranged at the bottom of the combustion chamber, a second-level cold water pipe group vertically arranged along the side wall of the combustion chamber, and a third-level cold water pipe group horizontally arranged at the top of the combustion chamber, and the first-third-level cold water pipe groups are interconnected and arranged in the two combustion chambers; the cold water pipe group (9) includes a plurality of cold water pipes arranged in parallel, each of which is connected to a water inlet device outside the coal-fired boiler, and a connection between the water inlet device and each cold water pipe is provided. A water inlet control valve, the water inlet device is connected to a hyper-convergent intelligent control system, and the water inlet amount of the water inlet device to each cold water pipe is adjusted by the hyper-convergent intelligent control system; the heating and pressurizing airflows with different heating and pressurizing effects on the coal powder respectively pass the coal powder into two coal powder combustion chambers (32), the coal powder combustion temperature and pressure in the two coal powder combustion chambers (32) are different, and the ends of the Class III cold water pipe groups (9) in the two coal powder combustion chambers (32) are connected to the steam drum (10); the two coal powder combustion chambers (32) are provided with a reheating system, and the reheating system is configured as a reheating bin (11).

[0086] like Figure 6As shown: the power generation system is connected to the coal-fired boiler through a steam pipeline, the power generation system includes a gas turbine system, and the gas turbine system includes a high-power cylinder (18), a medium-power cylinder (23) and a low-power cylinder (30); the high-power cylinder (18) and the medium-power cylinder (23) and the low-power cylinder (30) are connected through a steam pipeline; the steam drums (10) in the two pulverized coal combustion chambers (32) are connected to the high-power cylinder (18) of the gas turbine unit through a steam pipeline, and the two steam pipelines are provided with a control valve I (17), and the two steam drums ( The steam pipelines between the two steam drums (10) and the high-power cylinder (18) are provided with a pressurizing device I (12); the steam pipelines between the two steam drums (10) and the high-power cylinder (18) are connected in parallel with a bypass pipeline I (13); the bypass pipeline I (13) is provided with a control valve II (15) and an energy storage device I (14); the high-power cylinder (18) and the medium-power cylinder (23) are connected through a steam pipeline; the steam pipeline between the high-power cylinder (18) and the medium-power cylinder (23) is connected with two pressurizing devices II (24); the medium-power cylinder (23) is connected with two pressurizing devices II (25); the medium-power cylinder (23) is connected with two pressurizing devices II (26); the medium-power cylinder (23) is connected with two pressurizing devices II (27); the medium-power cylinder (23) is connected with two pressurizing devices II (28); the medium-power cylinder (23) is connected with two pressurizing devices II (29 ... The cylinder (23) and the two reheat chambers (11) in the coal-fired boiler (8) are connected via a reheat pipeline (16), the two reheat pipelines (16) are connected to a bypass pipeline II (19), the two reheat pipelines (16) are provided with a control valve III (22), the two bypass pipelines II (19) are provided with an energy storage device II (21) and a control valve IV (20), a steam pipeline is connected between the medium-power cylinder (23) and the low-power cylinder (30), and a steam pipeline is provided on the steam pipeline between the medium-power cylinder (23) and the low-power cylinder (30). The pressure device III (25) and the control valve V (29) are connected in parallel with a bypass pipe III (26), and the bypass pipe III (26) is connected with an energy storage device III (28) and a control valve VI (27). The output end of the low-power cylinder (30) is connected back to the coal-fired boiler (8) through a return air pipe. A condenser (31) is arranged on the return air pipe. The exhaust gas is condensed into cold water after heat exchange through the condenser (31) and circulated back to the coal-fired boiler (8). The gas turbine system includes a plurality of gas turbines, and each gas turbine is connected to the coal-fired boiler (8) in the same connection manner.

[0087] The working steps of the coal-fired machine intelligent control system include:

[0088] S1. Debugging simulation phase:

[0089] Use the intelligent simulation module to build a model, perform variable parameter simulation adjustment on the intelligent control system, collect and store the full-segment data within each wide load adjustment range, and form a full-segment data set through analysis, including the preset load value, the actual load value, the time point of each load adjustment, the time point when the expected load is reached, and draw the load time change curve; Among them, variable parameter simulation adjustment refers to: changing one or more groups of parameters such as energy storage, coal intake, and cooling water regulation of the intelligent system for adjustment;

[0090] The proportion of the adjustment mode of the power grid load adjustment is set in the intelligent control module through the intelligent simulation module, the proportion of adjustment through the energy storage device is set to Α, the proportion of adjustment of different pulverized coal combustion chambers for hot steam transmission to the power generation system is set to ω, the proportion of adjustment through the cold water pipe group is set to Β, and the proportion of adjustment through the coal intake of the coal-fired boiler is set to Z; the initial setting is Α>ω>Β>Z;

[0091] Formulate a load adjustment plan for different parameter conditions of the system, including presetting the time point for load adjustment, and execute the simulated load adjustment steps according to the plan; after completing a pre-adjustment step, store the data of the process and draw a load change curve over time to obtain the simulated load peak value and simulated load valley value, and establish a simulated data group;

[0092] S2. Actual load adjustment operation steps

[0093] During the actual load adjustment process, the load changes of the system are monitored in real time, and the real-time load changes are compared with the simulated data group. The closest data group is automatically matched for comparison, and a predetermined load adjustment plan is formulated. The load adjustment is performed according to the predetermined plan. The analysis module of the controller performs load change analysis at each time point. When the difference X between the actual load value and the simulated value before the load adjustment is within the set threshold a range, the load is adjusted according to the simulated adjustment steps;

[0094] When the difference X of at least three consecutive time points is outside the threshold a, the actual load value Q at which the difference between the actual load value and the simulated value is outside the threshold is taken as the first occurrence. m1 For the first set of data, record the actual load value Q at the second time point outside the threshold range m2 , load value Q at subsequent time point mn , calculate the load change per unit time |Q mn -Q m(n-1) | / t, calculate the load that the energy storage device can input or output per unit time |Q c | / t;

[0095] Calculate the load value Q that the system needs to increase or decrease to reach the target load value 调 , detect and estimate the remaining load Q that can be input or output by the energy storage device at this time剩 ;

[0096] If Q 调 Less than or equal to Q 剩 , and |Q mn -Q m(n-1) | / t=|Q c | / t or |Q mn -Q m(n-1) | / t<|Q c | / t, it is prompted to execute only the strategy of adjusting the load through the existing energy storage strategy, otherwise, it is prompted to adjust the load through backup energy storage devices or other adjustment methods.

[0097] During load regulation, the amount of backup energy storage device connected is calculated according to the following formula: Q L =|Q 调 -Q 剩 |, if the energy that a single backup energy storage device can store or release is Q p , if Q L >Q p , need to access ((Q L / Q p )+1) energy storage device; if Q L =Q p , or Q L p , an energy storage device needs to be connected.

[0098] The expected change trend chart is drawn based on the change speed of the dynamic load: When the wide load adjustment is adjusted from high load to low load, the load change speed is: V n =(Q n -Q n+1 ) / t, the speed of load change when adjusting from low load to high load is V n =(Q n+1 -Q n ) / t, Vavg=(V1+V2+V3...+V n ) / n, n represents a positive integer; it is expected that the T x The time point is load, and the load is Q x =Q0+T x *V average, or Q x =Q0-T x *V average, t is unit time, Q n is the load size at the nth time point; according to the load change speed diagram, the load change trend is predicted, and thus the estimated time point T required from the beginning of adjustment to reaching the expected load can be calculated x .

[0099] ​When adjusting the load, when the energy storage device reaches the limit, first adjust the cold water into the combustion chambers with different pulverized coal combustion temperatures for adjustment. The cold water enters different pulverized coal combustion chambers for hot steam transmission. The pulverized coal combustion temperatures in different pulverized coal combustion chambers are different, resulting in different heat and pressure carried by the hot steam. After adjusting to the pulverized coal combustion chamber with the highest combustion temperature, the adjustment is achieved by increasing the water inflow of the cold water pipe group, and the real-time load growth rate Φ0 before the increase of water inflow and the load growth rate Φ1 after the increase of water inflow are detected. When Φ1>Φ0 or Φ1=Φ0, the existing adjustment state is maintained; when Φ1<Φ0, the adjustment is performed by increasing the coal inflow of the coal-fired boiler; when adjusting the load, when the energy storage device reaches the limit, the adjustment is performed by reducing the water inflow of the cold water pipe group, and the real-time load deceleration Φ0 before the reduction of water inflow and the load deceleration Φ1 after the reduction are detected. When Φ1>Φ0 or Φ1=Φ0, the existing state is maintained; when Φ1<Φ0, the adjustment is performed by reducing the coal inflow of the coal-fired boiler; wherein Φ1 and Φ0 are calculated based on the absolute value of the load difference.

[0100] Maintaining the existing status means that the opening and closing degree of relevant valves, flow rate, etc. are controlled as the basis for measurement during the control process, and the existing adjusted valve opening size, coal consumption, etc. are maintained.

[0101] When increasing the load, the intelligent monitoring system detects the real-time load, and the wide load cruise system performs dynamic prediction to obtain the dynamic predicted load peak value λ through real-time load detection during adjustment. t , according to the dynamic prediction load peak λ t The actual difference compared with the load peak value λ0 simulated by the intelligent simulation module in the hyper-converged intelligent control system determines the specific adjustment method of the water inlet of the cold water pipe group and the coal inlet of the coal-fired boiler, and selects the adjustment method in sequence according to the proportion of each adjustment method; when 1>(λ t -λ0) / λ0>0, on the basis of opening all energy storage devices for auxiliary power generation and selecting the pulverized coal combustion chamber with the highest combustion temperature, the water inlet of the cold water pipe group is adjusted, and the water inlet adjustment control is controlled by the intelligent control module; t -λ0) / λ0>1, the coal intake of the coal-fired boiler is increased on the basis of opening all energy storage devices for auxiliary power generation, selecting cold water to enter the pulverized coal combustion chamber with the highest combustion temperature, and increasing the water intake of the cold water pipe group. The adjustment of the coal intake is controlled by the intelligent control module.

[0102] When all energy storage devices are releasing heat to assist power generation, and the water inlet of the cold water pipe and the coal inlet of the coal-fired boiler begin to be adjusted to increase the power generation of the power generation system to increase the load, the data volume of the coal inlet, water inlet, and power generation system in each hyper-converged intelligent control module is monitored. If it is detected that the data volume storage space in a hyper-converged intelligent control module is insufficient, the data will be transferred to a nearby intelligent control module. The final number of intelligent control modules is determined by the adjustment data of the coal inlet, water inlet, and power generation system.

[0103] The wide-load cruise system transmits signals to the hyper-converged intelligent control system, which controls the energy and heat storage devices corresponding to the high-power cylinders, medium-power cylinders, and low-power cylinders of the gas turbine to output heat to the generator for auxiliary power generation.

[0104] The adjustment method of the power grid load regulation can be set according to the actual working conditions. The adjustment method adopted in this application is set with a ratio of Α>ω>Β>Z.

[0105] The threshold a can be determined by the following method: In the debugging simulation stage, run multiple simulation debuggings under the same parameter adjustment mode, record the load values ​​at different time points each time, integrate multiple data, select different load values ​​at the same time point, filter them into groups, compare the size of the difference in the group, calculate the maximum value amax and the minimum value amin of the difference, and the range of the threshold a is [amin, amax].

[0106] During the debugging and simulation stage, a neural network model can be used to integrate and process various data and make predictions on the corresponding data.

Claims

1. A smart control system for coal-fired machines with few people controlling the machine, characterized by: It includes a pulverized coal feeding device, a cold water pipe group, a coal-fired boiler, a power generation system, a hyper-converged intelligent control system, a wide-load cruise system, and a smart monitoring system; the pulverized coal feeding device cooperates with the combustion boiler and the power generation system, and the power generation system includes a gas turbine system, an auxiliary energy storage and heat storage device, and a generator system; the gas turbine system in the power generation system drives the generator system to generate electricity, and the load generated by the power generation system is controlled by the hyper-converged intelligent control system to change between peak values ​​and valley values; the pulverized coal feeding device is connected to the hyper-converged intelligent control system, and the coal intake of the entire coal-fired feeding device is controlled by the hyper-converged intelligent control system, and the cold water pipe group is connected to the hyper-converged intelligent control system through the water inlet device, and the water intake of the water inlet device to each cold water pipe is adjusted by the hyper-converged intelligent control system; The hyper-converged intelligent control system includes multiple hyper-converged intelligent control modules and intelligent simulation modules, and the multiple hyper-converged intelligent control modules and intelligent simulation modules are arranged in the same intelligent hardware box; each hyper-converged intelligent control module integrates the calculation, storage, and control data of the coal intake, water intake, and power generation system, and each hyper-converged intelligent control module includes three management units: coal intake, water intake, and power generation system; the data in the three management units are transmitted to each other, and the data between the three management modules are transmitted horizontally. When adjusting the load, the increase or decrease data of the coal intake, water intake, and auxiliary energy storage device during adjustment are determined according to the data of the coal intake, water intake, and power generation load in each control module, and the final control is performed.

2. The intelligent control system for coal-fired machine with few people according to claim 1 is characterized by: The intelligent simulation module simulates the load adjustment strategy and adjustment method of the power generation system; the wide load cruise system dynamically predicts the power load of the entire power grid system; The dynamic prediction data is transmitted to the hyper-converged intelligent control system for comparison; the hyper-converged intelligent control system, wide-load cruise system and smart monitoring system cooperate with each other; the smart monitoring system monitors the real-time situation and data of power demand, power load peak and power load standard value, and transmits the monitoring data to the hyper-converged intelligent control system and wide-load cruise system; the hyper-converged intelligent control system and wide-load cruise system are used to ensure that the entire coal-fired power generation system operates within the range of load peak to load valley.

3. The intelligent control system for coal-fired machine with few people according to claim 2 is characterized by: The model is established by using the intelligent simulation module, and the intelligent control system is simulated and adjusted with variable parameters. The full-segment data within the wide load adjustment range each time are collected and stored. Through analysis, a full-segment data set is formed, including the preset load value, the actual load value, the time point of each load adjustment, the time point when the expected load is reached, and the load time change curve is drawn; wherein, the variable parameter simulation adjustment refers to: changing one or more groups of parameters of the energy storage, coal intake, and cooling water adjustment of the intelligent control system for adjustment; setting the proportion of the adjustment method of the power grid load adjustment in the intelligent control module through the intelligent simulation module, setting the proportion of adjustment through the energy storage device to A, setting the proportion of adjustment through the cold water pipe group to B, and setting the proportion of adjustment through the coal intake of the coal-fired boiler to Z; initialization setting A>B�>Z; formulating a load adjustment plan for different parameter conditions of the system, including the preset time point of load adjustment, and executing the simulated load adjustment step according to the plan; after completing a pre-adjustment step, storing the data of the pre-adjustment step and drawing the load change curve over time, obtaining the simulated load peak value and the simulated load valley value, and establishing a simulated data group.

4. The intelligent control system for coal-fired machine with few people control according to claim 3 is characterized by: During the actual load adjustment process, the load changes of the system are monitored in real time through the intelligent monitoring system, and the real-time load changes are compared with the simulated data group. The closest data group is automatically matched for comparison, and a predetermined load adjustment plan is formulated. The load adjustment is carried out according to the predetermined plan. The analysis module in the intelligent control module performs load change analysis at each time point. When the actual load value before load adjustment is compared with the simulated value, and the difference X is within the set threshold a range, the load is adjusted according to the simulated adjustment steps; When the difference X of at least three consecutive time points is outside the threshold a, the actual load value Q at which the difference between the actual load value and the simulated value is outside the threshold is taken as the first occurrence. m1 For the first set of data, record the actual load value Q at the second time point outside the threshold range m2 , load value Q at subsequent time point mn , calculate the load change per unit time |Q mn -Q m(n-1) | / t, calculate the load that the energy storage device can input or output per unit time |Q c | / t; Calculate the load value Q that the system needs to increase or decrease to reach the target load value 调 , detect and estimate the remaining load Q that can be input or output by the energy storage device at this time 剩 If Q 调 Less than or equal to Q 剩 , and |Q mn -Q m(n-1) | / t=|Q c | / t or |Q mn -Q m(n-1) | / t<|Q c | / t, it is prompted to execute only the strategy of adjusting the load through the existing energy storage strategy, otherwise, it is prompted to adjust the load through backup energy storage devices or other adjustment methods.

5. The intelligent control system for coal-fired machine with few people according to claim 4 is characterized by: During load regulation, the amount of backup energy storage device connected is calculated according to the following formula: Q L =|Q 调 -Q 剩 |, if the energy that a single backup energy storage device can store or release is Q p , if Q L >Q p , need to access ((Q L / Q p )+1) energy storage device; if Q L =Q p , or Q L p , an energy storage device needs to be connected.​ 6. The intelligent control system for coal-fired machine with few people according to claim 5 is characterized by: The expected change trend diagram of the load regulation of the entire power grid system is drawn according to the change speed of the dynamic load: the speed of load change when the wide load regulation is adjusted from high load to low load is: V n =(Q n -Q n+1 ) / t, the speed of load change when adjusting from low load to high load is V n =(Q n+1 -Q n ) / t, Vavg=(V1+V2+V3...+V n ) / n, n represents a positive integer; it is expected that the T x The time point is load, and the load is Q x =Q0+T x *V average, or Q x =Q0-T x *V average, t is unit time, Q n is the load size at the nth time point; according to the load change speed diagram, the load change trend is predicted, and thus the estimated time point T required from the beginning of adjustment to reaching the expected load can be calculated x .

7. The intelligent control system for coal-fired machine with few people according to claim 6 is characterized by: When increasing the load, when the energy storage device reaches the limit, the adjustment is achieved by increasing the water inflow of the cold water pipe group, detecting the real-time load growth rate Φ0 before the increase of water inflow, and the load growth rate Φ1 after the increase of water inflow. When Φ1>Φ0 or Φ1=Φ0, maintain the existing adjustment state; When Φ1<Φ0, the adjustment is made by increasing the coal intake of the coal-fired boiler; when the energy storage device reaches the limit during load reduction, the adjustment is made by reducing the water intake of the cold water pipe group, and the load before the water intake is reduced is detected to be decelerated by Φ0 in real time, and the load after the reduction is decelerated by Φ1. When Φ1>Φ0 or Φ1=Φ0, the current state is maintained; When Φ1<Φ0, the adjustment is made by reducing the amount of coal fed into the coal-fired boiler; Φ1 and Φ0 are calculated based on the absolute value of the load difference; maintaining the current state means that the opening and closing of the relevant valves and the flow rate are used as the basis for measurement during the control process to maintain the current adjusted valve opening size and coal consumption.

8. The intelligent control system for coal-fired machine with few people control according to claim 7 is characterized by: When increasing the load, the real-time load detection of the intelligent monitoring system is used to dynamically predict the load peak value λ according to the wide load cruise system. t , according to the dynamic prediction load peak λ t The actual difference compared with the load peak value λ0 simulated by the intelligent simulation module in the hyper-converged intelligent control system determines the specific adjustment method of the water inlet of the cold water pipe group and the coal inlet of the coal-fired boiler, and selects the adjustment method in sequence according to the proportion of each adjustment method; when 1>(λ t -λ0) / λ0>0, in addition to opening all energy storage devices for auxiliary power generation, the water inlet of the cold water pipe group is adjusted, and the water inlet adjustment control is controlled by the intelligent control module; t -λ0) / λ0>1, the coal intake of the coal-fired boiler is increased on the basis of opening all energy storage devices for auxiliary power generation and increasing the water intake of the cold water pipe group. The adjustment of the coal intake is controlled by the intelligent control module.

9. The intelligent control system for coal-fired machine with few people according to claim 8 is characterized by: When all energy storage devices are releasing heat to assist in power generation, and the water inlet of the cold water pipe and the coal inlet of the coal-fired boiler begin to be adjusted to increase the power generation of the power generation system to increase the load, the data volume in the pulverized coal feeding device coal inlet control module, the cold water pipe group control module, and the power generation system control module in each hyper-converged intelligent control module is monitored. If it is detected that the data volume storage space in a certain hyper-converged intelligent control module is insufficient, the data is transferred to a similar intelligent control module. The final number of intelligent control modules is determined by the adjustment data of the pulverized coal feeding device coal inlet control module, the cold water pipe group control module, and the power generation system control module for the pulverized coal feed volume, the cold water pipe group water inlet, and the auxiliary energy storage device in the power generation system.

10. The intelligent control system for coal-fired machine with few people according to claim 9 is characterized in that: The threshold a can be determined according to the following method: in the debugging simulation stage, run multiple simulation debuggings under the same parameter adjustment method, record the load values ​​at different time points each time, integrate multiple data, select different load values ​​at the same time point, filter them into groups, compare the size of the difference in the group, calculate the maximum value amax and the minimum value amin of the difference, and the range of the threshold a is [amin, amax].

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