Thermoelectric coupling control system for coal-fired boiler

Abstract

The invention relates to the technical field of boiler thermoelectric coupling control, and discloses a thermoelectric coupling control system for a coal-fired boiler. According to the system, boiler combustion temperature data, boiler working pressure data, temperature data of a steam generator, pressure data of the steam generator, flow data of the steam generator and electric energy data of thermoelectric coupling equipment are acquired through a data acquisition module; the control strategy design module is used for designing a thermoelectric coupling control system according to data transmitted by the data analysis module, and the fault diagnosis module is used for carrying out fault diagnosis on the designed thermoelectric coupling control system, generating an evaluation report and transmitting the evaluation report to the adjustment optimization module; and the adjustment optimization module performs parameter optimization on the defects of the thermoelectric coupling control system according to the evaluation report transmitted by the fault diagnosis module.

Description

Technical Field

[0001] The invention relates to the technical field of boiler thermoelectric coupling control, in particular to a thermoelectric coupling control system for a coal-fired boiler. Background Art

[0002] Boiler thermoelectric coupling control is a method of optimizing the control of the entire system by effectively coordinating the relationship between the thermal energy and electrical energy of the boiler system. The main purpose is to further improve the energy utilization efficiency of the entire system by optimizing the distribution and coordination relationship between thermal energy and electrical energy in the boiler system, effectively reduce the energy cost of system operation, and achieve efficient operation of the system under different loads by reasonably allocating the utilization ratio of thermal energy and electrical energy, and help regulate the system to operate more stably and reliably, avoid waste of energy resources and system overload or instability, and ensure that the system can maintain a stable operation state under various operating conditions through precise control.

[0003] At present, the thermoelectric coupling control systems of most coal-fired boilers need to take into account both energy efficiency and economy in thermoelectric coupling control. Because it involves the coordinated allocation of thermal energy and electrical energy and the dynamic changes of operating conditions, how to achieve the best energy utilization efficiency during system operation requires comprehensive consideration of multiple factors, which is difficult and leads to the problem of low energy utilization efficiency. Summary of the invention

[0004] 1. Technical issues to be resolved

[0005] In view of the deficiencies in the prior art, the present invention provides a thermoelectric coupling control system for a coal-fired boiler, which has the advantages of collecting boiler combustion temperature data Grwd, boiler working pressure data Glyl, steam generator temperature data Zqwd, steam generator pressure data Zqyl, steam generator flow data Zqll and thermoelectric coupling device electric energy data Rddn through a data acquisition module, and calculating the boiler combustion efficiency Grxl, steam generator efficiency Zqxl and thermoelectric power ratio Rdgl by a data analysis module according to the data transmitted by the data acquisition module, and designing a control strategy module according to the data transmitted by the data analysis module. The fault diagnosis module is used to perform fault diagnosis on the designed thermoelectric coupling control system, and generate an evaluation report to transmit to the adjustment and optimization module, and the adjustment and optimization module optimizes the parameters of the deficiencies of the thermoelectric coupling control system according to the evaluation report transmitted by the fault diagnosis module. The thermoelectric coupling control system of the coal-fired boiler designed by the fuzzy logic control algorithm can timely control and optimize the deficiencies of the system, so that the energy utilization efficiency of the system is improved during operation, and the above-mentioned problems are solved.

[0006] (II) Technical solution

[0007] To achieve the above object, the present invention provides the following technical solutions:. A thermoelectric coupling control system for a coal-fired boiler, a data acquisition module, a data analysis module, a control strategy design module, a fault diagnosis module and an adjustment and optimization module;

[0008] The data acquisition module is connected to the data analysis module via a network;

[0009] The data analysis module is connected to the control strategy design module via a network;

[0010] The control strategy design module is connected to the fault diagnosis module via a network;

[0011] The fault diagnosis module is connected to the adjustment and optimization module via a network;

[0012] The data acquisition module is used to collect boiler combustion temperature data Grwd, boiler working pressure data Glyl, steam generator temperature data Zqwd, steam generator pressure data Zqyl, steam generator flow data Zqll and thermoelectric coupling device electric energy data Rddn, and transmit the collected data to the data analysis module;

[0013] The data analysis module calculates the boiler combustion efficiency Grxl, the steam generator efficiency Zqxl and the thermal power ratio Rdgl according to the data transmitted by the data acquisition module, and transmits the above data to the control strategy design module;

[0014] The control strategy design module designs a thermoelectric coupling control system according to the data transmitted by the data analysis module;

[0015] The fault diagnosis module is used to perform fault diagnosis on the designed thermoelectric coupling control system and generate an evaluation report to be transmitted to the adjustment and optimization module;

[0016] The adjustment and optimization module optimizes parameters of deficiencies of the thermoelectric coupling control system according to the evaluation report transmitted by the fault diagnosis module.

[0017] Preferably, the data acquisition module compiles the collected boiler combustion temperature data into a data set, and the data set is {Grwd n-14 ,Grwd n-13 ,Grwd n-12 ,...,Grwsd n}, the collected boiler working pressure data is compiled into a data set, which is {Glyl n-14 ,Glyl n-13 ,Glyl n-12 ,...,Glyl n}.

[0018] Preferably, the data acquisition module compiles the collected temperature data of the steam generator into a data set, and the data set is {Zqwd n-14 ,Zqw n-13 ,Zqw n-12 ,...,Zqwd n}.

[0019] Preferably, the data acquisition module compiles the collected pressure data of the steam generator into a data set, and the data set is {Zqyl n-1 ,Zqyl n-13 ,Zqyl n-12 ,...,Zqyl n}, the collected flow data of the steam generator is compiled into a data set, which is {Zqll n-14 ,Zqll n-13 ,Zqll n-12 ,...,Zqll n}.

[0020] Preferably, the data acquisition module compiles the collected electric energy data of the thermoelectric coupling device into a data set, and the data set is {Rddn n-1 ,Rddn n-13 ,Rddn n-12 ,...,Rddn n}.

[0021] Preferably, the data analysis module calculates the boiler combustion efficiency Grxl according to the data transmitted by the data acquisition module, and the calculation formula is as follows:

[0022]

[0023] In the formula, Grxl represents the boiler combustion efficiency, Rlzr represents the gross calorific value of the fuel, and Yqrl represents the heat value carried away by the flue gas. The above values ​​can be measured by boiler combustion monitoring equipment.

[0024] Preferably, the data analysis module calculates the steam generator efficiency Zqxl according to the data transmitted by the data acquisition module, and the calculation formula is as follows:

[0025]

[0026] In the formula, Zqxl represents the efficiency of the steam generator, Zfgl represents the output power of the steam generator, which is usually expressed in terms of the rated power of the generator, Zjrl represents the heat of the steam entering the generator, and this value refers to the heat of the steam input into the steam generator, and Fzxh represents auxiliary consumption, including the power consumption of the generator itself and pump consumption.

[0027] Preferably, the data analysis module calculates the thermoelectric power ratio Rdgl according to the data transmitted by the data acquisition module, and the calculation formula is as follows:

[0028]

[0029] In the formula, Rdgl represents the thermal-electric power ratio, Fdxl represents the power generation efficiency, which refers to the efficiency of the generator in converting the heat energy generated by fuel combustion into electrical energy, Dsgl represents the power output, which refers to the power generated by the generator, Rxlz represents the thermal efficiency, which refers to the efficiency of the system in converting the heat energy generated by fuel combustion into thermal energy, Rsgl represents the thermal output power, which refers to the thermal power generated by the system, and Ssxs represents the loss value, which refers to various energy losses in the operation of the system, including heat transfer loss, mechanical loss and system loss.

[0030] Preferably, the control strategy design module designs the thermoelectric coupling control system according to the data transmitted by the data analysis module, and uses a fuzzy logic control algorithm to design the system. The fuzzy control algorithm is specifically explained as follows:

[0031] Mapping the actual value of the input to the fuzzy concept, the membership function is usually used to describe the relationship between the input variable and the fuzzy set. The membership function of a fuzzy set A can be expressed as μ_A(x), which indicates the membership degree of the actual value x corresponding to the fuzzy set A.

[0032] The fuzzy logic controller is described using a rule base in the form of if-then rules. If the rule is: “If the input is A1 and the input is B1, then the output is C1”, it is expressed as: “IF x is A1 AND y is B1 THEN z is C1;

[0033] The rules in the rule base are inferred through fuzzy logic operations, using the maximum and minimum fuzzy reasoning method. The reasoning process includes conjunction, disjunction and fuzzification operations of fuzzy logic operations.

[0034] The fuzzy output is converted into a specific actual value using a weighted average statistical method, where the defuzzification function is expressed as:

[0035] Output=∑μ-Ci*Ci / ∑μ_Ci

[0036] Among them, μ_Ci represents the membership degree of the output Ci, and Ci represents the fuzzy set of the output.

[0037] Preferably, the control strategy design module integrates the above steps to obtain the mathematical expression of the fuzzy logic controller:

[0038] Output

[0039] =Defuzzify(Inference(Fuzzify(Input1),Fuzzify(Input2),...,Fuzzify(InputN)))

[0040] Among them, Input1, Input2, ..., InputN represent input variables, and Output represents output variables.

[0041] Compared with the prior art, the present invention provides a thermoelectric coupling control system for a coal-fired boiler, which has the following beneficial effects:

[0042] The present invention collects boiler combustion temperature data Grwd, boiler working pressure data Glyl, steam generator temperature data Zqwd, steam generator pressure data Zqyl, steam generator flow data Zqll and thermoelectric coupling device electric energy data Rddn through a data acquisition module, and a data analysis module calculates boiler combustion efficiency Grxl, steam generator efficiency Zqxl and thermoelectric power ratio Rdgl according to data transmitted by the data acquisition module, a control strategy design module designs a thermoelectric coupling control system according to data transmitted by the data analysis module, a fault diagnosis module is used to perform fault diagnosis on the designed thermoelectric coupling control system, and generate an evaluation report to transmit to an adjustment and optimization module, and the adjustment and optimization module optimizes parameters of deficiencies of the thermoelectric coupling control system according to the evaluation report transmitted by the fault diagnosis module, and the thermoelectric coupling control system of the coal-fired boiler designed by the fuzzy logic control algorithm timely controls and optimizes the deficiencies of the system, so that the energy utilization efficiency of the system is improved during operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 It is a schematic diagram of the system flow of the present invention. DETAILED DESCRIPTION

[0044] 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.

[0045] In view of the problem of insufficient energy utilization in the current thermal-electric coupling work of coal-fired boilers, a thermal-electric coupling control system for coal-fired boilers is proposed. Figure 1 The system includes a data acquisition module, a data analysis module, a control strategy design module, a fault diagnosis module and an adjustment and optimization module, among which:

[0046] The data acquisition module compiles the collected boiler combustion temperature data into a data set, which is {Grwd n-14 ,Grwd n-13 ,Grwd n-12 ,...,Grwd n}, the collected boiler working pressure data is compiled into a data set, which is {Glyl n-14 ,Glyl n-13 ,Glyl n-12 ,...,Glyl n}, the collected temperature data of the steam generator is compiled into the data set, which is {Zqwd n-14 ,Zqw n-13 ,Zqw n-12 ,...,Zqwd n}, the collected steam generator pressure data is compiled into the data set, which is {Zqyl n-14 ,Zqyl n-13 ,Zqyl n-12 ,...,Zqyl n}, the collected flow data of the steam generator is compiled into a data set, which is {Zqll n-14 ,Zqll n-13 ,Zqll n-12 ,...,Zqll n}, the collected electric energy data of the thermoelectric coupling device is compiled into a data set, which is {Rddn n-14 ,Rddn n-13 ,Rddn n-12 ,...,Rddn n}, each data group includes 15 groups of data values. The collected data are classified and grouped to make the values ​​obtained during calculation more accurate;

[0047] The data analysis module calculates the boiler combustion efficiency Grxl, steam generator efficiency Zqxl, thermal power ratio Rdgl and thermal energy balance efficiency Rpxl according to the data transmitted by the data acquisition module, where:

[0048] Boiler combustion efficiency calculation formula:

[0049]

[0050] Inefficient combustion will lead to unstable operation and accelerated damage of boiler equipment. By improving the combustion efficiency, the emission of harmful gases in the flue gas can be reduced, corrosion and wear can be reduced, and the service life of the boiler equipment can be extended. In the formula, Grxl represents the boiler combustion efficiency, Rlzr represents the total calorific value of the fuel, and Yqrl represents the calorific value carried away by the flue gas. The above values ​​can be measured by boiler combustion monitoring equipment. By calculating the boiler combustion efficiency, it can help monitor the operation of the boiler system, find problems such as incomplete combustion and insufficient heat transfer, provide guidance for optimizing boiler operation, and improve energy efficiency.

[0051] Steam generator efficiency calculation formula:

[0052]

[0053] Steam generator efficiency is one of the indicators for evaluating the performance of a generator. Understanding its energy utilization efficiency helps determine the losses of the generator in the process of converting fuel energy into electrical energy. In the formula, Zqxl represents the efficiency of the steam generator, Zfgl represents the output power of the steam generator, which is usually expressed in terms of the rated power of the generator, Zjrl represents the heat of steam entering the generator, which refers to the heat of steam input into the steam generator, and Fzxh represents auxiliary consumption, including the power consumption and pump consumption of the generator itself. Calculating the generator efficiency helps monitor the operation of the generator system, discover problems such as incomplete combustion and low heat transfer efficiency, and provide guidance for improving the operation of the generator and improving power generation efficiency.

[0054] Thermoelectric power ratio calculation formula:

[0055]

[0056] Thermoelectric power ratio is the ratio of electrical output to thermal output. By calculating it, we can evaluate the energy utilization efficiency of the system, understand the energy conversion efficiency in the system, and help managers evaluate the comprehensive energy utilization of the system. In the formula, Rdgl represents the thermoelectric power ratio, Fdxl represents the power generation efficiency, which refers to the efficiency of the generator converting the heat energy generated by fuel combustion into electrical energy, Dsgl represents the electrical output power, which refers to the electrical power generated by the generator, Rxlz represents the thermal efficiency, which refers to the efficiency of the system converting the heat energy generated by fuel combustion into thermal energy, Rsgl represents the thermal output power, which refers to the thermal power generated by the system, and Ssxs represents the loss value, which refers to various energy losses in the operation of the system, including heat transfer loss, mechanical loss and system loss. By calculating the thermoelectric power ratio, we can determine the operating status and thermoelectric balance of the system, help optimize the operation of the system, improve the stability and reliability of the system, and ensure the normal operation of the system.

[0057] The control strategy design module designs the thermoelectric coupling control system according to the data transmitted by the data analysis module, and uses the fuzzy logic control algorithm to design the system. The specific explanation of the fuzzy control algorithm is as follows:

[0058] Mapping the actual value of the input to the fuzzy concept, the membership function is usually used to describe the relationship between the input variable and the fuzzy set. The membership function of a fuzzy set A can be expressed as μ_A(x), which indicates the membership degree of the actual value x corresponding to the fuzzy set A.

[0059] The fuzzy logic controller is described using a rule base in the form of if-then rules. If the rule is: “If the input is A1 and the input is B1, then the output is C1”, it is expressed as: “IF x is A1 AND y is B1 THEN z is C1;

[0060] The rules in the rule base are inferred through fuzzy logic operations, using the maximum and minimum fuzzy reasoning method. The reasoning process includes conjunction, disjunction and fuzzification operations of fuzzy logic operations.

[0061] The fuzzy output is converted into a specific actual value using a weighted average statistical method, where the defuzzification function is expressed as:

[0062] Output=∑μ-Ci*Ci / ∑μ_Ci

[0063] Among them, μ_Ci represents the membership degree of the output Ci, and Ci represents the fuzzy set of the output.

[0064] The control strategy design module combines the above steps to obtain the mathematical expression of the fuzzy logic controller:

[0065] Output

[0066] =Defuzzify(Inference(Fuzzify(Input1),Fuzzify(Input2),...,Fuzzify(InputN)))

[0067] Among them, Input1, Input2, ..., InputN represent input variables, and Output represents output variables;

[0068] The fault diagnosis module is used to diagnose faults of the designed thermoelectric coupling control system and generate an evaluation report which is transmitted to the adjustment and optimization module. The adjustment and optimization module optimizes the parameters of the deficiencies of the thermoelectric coupling control system according to the evaluation report transmitted by the fault diagnosis module.

[0069] The thermal-electric coupling control system of the coal-fired boiler designed by fuzzy logic control algorithm can timely control and optimize the deficiencies of the system, so that the energy utilization efficiency of the system can be improved during operation.

[0070] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A thermoelectric coupling control system for a coal-fired boiler, characterized in that: Data acquisition module, data analysis module, control strategy design module, fault diagnosis module and adjustment and optimization module; The data acquisition module is connected to the data analysis module via a network; The data analysis module is connected to the control strategy design module via a network; The control strategy design module is connected to the fault diagnosis module via a network; The fault diagnosis module is connected to the adjustment and optimization module via a network; The data acquisition module is used to collect boiler combustion temperature data Grwd, boiler working pressure data Glyl, steam generator temperature data Zqwd, steam generator pressure data Zqyl, steam generator flow data Zqll and thermoelectric coupling device electric energy data Rddn, and transmit the collected data to the data analysis module; The data analysis module calculates the boiler combustion efficiency Grxl, the steam generator efficiency Zqxl and the thermal power ratio Rdgl according to the data transmitted by the data acquisition module, and transmits the above data to the control strategy design module; The control strategy design module designs a thermoelectric coupling control system according to the data transmitted by the data analysis module; The fault diagnosis module is used to perform fault diagnosis on the designed thermoelectric coupling control system and generate an evaluation report to be transmitted to the adjustment and optimization module; The adjustment and optimization module optimizes parameters of deficiencies of the thermoelectric coupling control system according to the evaluation report transmitted by the fault diagnosis module.

2. A thermoelectric coupling control system for a coal-fired boiler according to claim 1, characterized in that: The data acquisition module compiles the collected boiler combustion temperature data into a data set, which is {Grwd n-14 ,Grwd n-1 ,Grwd n-12 ,...,Grwd n }, the collected boiler working pressure data is compiled into a data set, which is {Glyl n-14 ,Glyl n-13 ,Glyl n-1 ,...,Glyl n }.

3. A thermoelectric coupling control system for a coal-fired boiler according to claim 2, characterized in that: The data acquisition module compiles the collected temperature data of the steam generator into a data set, which is {Zqwd n-14 ,Zqw n-13 ,Zqw n-12 ,...,Zqwd n }.

4. A thermoelectric coupling control system for a coal-fired boiler according to claim 3, characterized in that: The data acquisition module compiles the collected pressure data of the steam generator into a data set, and the data set is {Zqyl n-14 ,Zqyl n-13 ,Zqyl n-1 ,...,Zqyl n }, the collected flow data of the steam generator is compiled into a data set, which is {Zqll n-14 ,Zqll n-13 ,Zqll n-1 ,...,Zqll n }.

5. A thermoelectric coupling control system for a coal-fired boiler according to claim 4, characterized in that: The data acquisition module compiles the collected electric energy data of the thermoelectric coupling device into a data set, and the data set is {Rddn n-14 ,Rddn n-12 ,Rddn n-12 ,...,Rddn n }.

6. A thermoelectric coupling control system for a coal-fired boiler according to claim 5, characterized in that: The data analysis module calculates the boiler combustion efficiency Grxl according to the data transmitted by the data acquisition module. The calculation formula is as follows: In the formula, Grxl represents the boiler combustion efficiency, Rlzr represents the gross calorific value of the fuel, and Yqrl represents the heat value carried away by the flue gas. The above values ​​can be measured by boiler combustion monitoring equipment.

7. A thermoelectric coupling control system for a coal-fired boiler according to claim 6, characterized in that: The data analysis module calculates the steam generator efficiency Zqxl according to the data transmitted by the data acquisition module. The calculation formula is as follows: In the formula, Zqxl represents the efficiency of the steam generator, Zfgl represents the output power of the steam generator, which is usually expressed in terms of the rated power of the generator, Zjrl represents the heat of the steam entering the generator, and this value refers to the heat of the steam input into the steam generator, and Fzxh represents auxiliary consumption, including the power consumption of the generator itself and pump consumption.

8. A thermoelectric coupling control system for a coal-fired boiler according to claim 7, characterized in that: The data analysis module calculates the thermoelectric power ratio Rdgl according to the data transmitted by the data acquisition module. The calculation formula is as follows: In the formula, Rdgl represents the thermal-electric power ratio, Fdxl represents the power generation efficiency, which refers to the efficiency of the generator in converting the heat energy generated by fuel combustion into electrical energy, Dsgl represents the power output, which refers to the power generated by the generator, Rxlz represents the thermal efficiency, which refers to the efficiency of the system in converting the heat energy generated by fuel combustion into thermal energy, Rsgl represents the thermal output power, which refers to the thermal power generated by the system, and Ssxs represents the loss value, which refers to various energy losses in the operation of the system, including heat transfer loss, mechanical loss and system loss.

9. A thermoelectric coupling control system for a coal-fired boiler according to claim 8, characterized in that: The control strategy design module designs the thermoelectric coupling control system according to the data transmitted by the data analysis module, and uses the fuzzy logic control algorithm to design the system. The fuzzy control algorithm is specifically explained as follows: Mapping the actual value of the input to the fuzzy concept, the membership function is usually used to describe the relationship between the input variable and the fuzzy set. The membership function of a fuzzy set A can be expressed as μ_A(x), which indicates the membership degree of the actual value x corresponding to the fuzzy set A. The fuzzy logic controller is described using a rule base in the form of if-then rules. If the rule is: "If the input is A1 and the input is B1, then the output is C1", it is expressed as: "IF x is A1 AND y is B1 THEN z is C1; The rules in the rule base are inferred through fuzzy logic operations, using the maximum and minimum fuzzy reasoning method. The reasoning process includes conjunction, disjunction and fuzzification operations of fuzzy logic operations. The fuzzy output is converted into a specific actual value using a weighted average statistical method, where the defuzzification function is expressed as: Output=∑μ-Ci*Ci / ∑μ_Ci Among them, μ_Ci represents the membership degree of the output Ci, and Ci represents the fuzzy set of the output.

10. A thermoelectric coupling control system for a coal-fired boiler according to claim 9, characterized in that: The control strategy design module combines the above steps to obtain the mathematical expression of the fuzzy logic controller: Output=Defuzzify(Inference(Fuzzify(Input1),Fuzzify(Input2),...,Fuzzify(InputN))) Among them, Input1, Input2, ..., InputN represent input variables, and Output represents output variables.

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