CN109492820B - Multivariable benefit optimizing system and method for waste heat utilization coupling system - Google Patents
Multivariable benefit optimizing system and method for waste heat utilization coupling system Download PDFInfo
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- CN109492820B CN109492820B CN201811375934.8A CN201811375934A CN109492820B CN 109492820 B CN109492820 B CN 109492820B CN 201811375934 A CN201811375934 A CN 201811375934A CN 109492820 B CN109492820 B CN 109492820B
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Abstract
The invention relates to the field of control operation of a boiler exhaust smoke waste heat utilization coupling system, and particularly discloses a multivariable benefit optimizing system and method of a waste heat utilization coupling system. The invention adds an optimization system in the operation control system of the waste heat utilization coupling system, wherein the optimization system comprises a real-time data acquisition module, a coupling system design parameter calculation module, a subsystem A/B operation parameter adjustment calculation module, a subsystem A/B parameter variation calculation module, a coupling system overall benefit calculation module, an overall benefit optimization judgment module and an operation guidance module. The invention has reasonable structure and flexible adjustment, solves the operation problem that the overall benefit cannot reach the maximum when the operation parameter in the waste heat utilization coupling system deviates from the design value, ensures the optimization of the comprehensive economic benefit of the coupling system, and is suitable for wide popularization and application.
Description
(I) technical field
The invention relates to the field of control operation of a boiler exhaust smoke waste heat utilization coupling system, in particular to a multivariable benefit optimizing system and method of a waste heat utilization coupling system.
(II) background of the invention
At present, cascade utilization of waste heat of discharged smoke of a boiler of a domestic thermal power generating unit is generally realized, namely, the waste heat of discharged smoke at a lower temperature and the heat of partial condensed water are utilized to heat air supplied by the boiler, so that the boiler efficiency and the outlet smoke temperature of a preheater are improved; and the condensed water is heated by using the flue gas with higher temperature to obtain more displacement work, so that the heat consumption of the steam turbine is reduced. The two cascade utilization systems simultaneously utilize the condensed water, and produce energy-saving effects which are opposite to each other on the steam extraction system. The coupling system is adjusted and controlled only according to the set parameters during operation, but when the operation parameters deviate from the design values, the set parameters cannot be adjusted along with the operation parameters, so that the coupling system is often not operated under the optimal working condition, and the benefit maximization of the coupling system cannot be realized.
The coupling system is influenced by the temperature, load and smoke and air flow of the boiler exhaust gas, and is also influenced by the temperature, flow and the like of working media at the inlet and the outlet of the coupling system, parameters between two subsystems in the coupling system can be influenced mutually, and the existence of multivariable influences mutually, so that the determination of the optimal operation condition cannot be obtained by the experience of operators.
Disclosure of the invention
In order to make up for the defects of the prior art, the invention provides the multivariable benefit optimizing system and the multivariable benefit optimizing method for the waste heat utilization coupling system, which are flexible in adjustment and good in operation benefit.
The invention is realized by the following technical scheme:
the utility model provides a multivariable benefit of waste heat utilization coupled system of optimizing, includes real-time data acquisition module, its characterized in that: the coupling system is divided into two subsystems A and B, the subsystem A utilizes low-temperature flue gas and partial condensed water heat to heat boiler air supply, and the subsystem B utilizes high-temperature flue gas to heat steam turbine condensed water; the real-time data acquisition module is connected with the coupling system design parameter calculation module, and the coupling system design parameter calculation module is connected with the subsystem A operation parameter adjustment calculation module and the subsystem B operation parameter adjustment calculation module in parallel; the subsystem A operation parameter adjustment calculation module and the subsystem B operation parameter adjustment calculation module are respectively connected in parallel with the coupling system overall benefit calculation module, the overall benefit optimization judgment module and the operation guidance module in sequence through the subsystem A parameter variable calculation module and the system B parameter variable calculation module.
In the invention, an optimization system is added in a waste heat utilization coupling system operation control system, and the optimization system comprises a real-time data acquisition module, a coupling system design parameter calculation module, a subsystem A/B operation parameter adjustment calculation module, a subsystem A/B parameter variation calculation module, a coupling system overall benefit calculation module, an overall benefit optimization judgment module and an operation guidance module.
The method for optimizing the multivariable benefits of the waste heat coupling system by adopting the system comprises the following steps:
(1) setting operation parameter monitoring measuring points in the subsystem A and the subsystem B, acquiring real-time operation data of a unit through a real-time data acquisition module, calculating design parameters and benefits of each subsystem under the current operation condition by using a coupled system design parameter calculation module, and taking the calculated parameters as first batch of fixed parameters under the current operation condition;
(2) setting the variables of the two subsystems as parameters, adjusting the other variables to balance the subsystems, then adjusting the variable of the previous subsystem to set the variable of the next subsystem as a fixed value, carrying out balance calculation on the next subsystem, and if the calculation benefit is increased, continuing to adjust the parameters of the previous subsystem;
(3) and performing comprehensive benefit calculation on the coupling system, analyzing the variation trend of the optimal parameters after comparison, performing iterative calculation, determining the optimal operation parameters, guiding operation, and obtaining the maximum value of the overall economic benefit of the coupling system.
The preferable technical scheme is as follows:
in the step (1), the first fixed parameters are the flue gas flow and the cold air flow of the coupling system calculated according to the heat balance and the cold air inlet temperature of the coupling system obtained according to the measuring point.
In the step (2), the specific adjustment steps are as follows: (2-1) adjusting the variable parameters of the subsystem A, and carrying out balance calculation on the subsystem A, (2-2) calculating the variable operation parameters and system balance of the subsystem B after the variable parameters of the subsystem A are changed, (2-3) carrying out overall benefit calculation and judging whether the benefit is increased, and repeating the steps (2-2) - (2-3) if so; (2-4) simultaneously adjusting the variable parameters of the subsystem B and carrying out balance calculation of the subsystem B, (2-5) calculating the variable operation parameters and system balance of the subsystem A after the variable parameters of the subsystem B are changed, and (2-6) calculating the overall benefit and judging whether the benefit is increased or not, for example, repeating the steps (2-5) - (2-6) additionally.
In the step, the variable parameters are working medium flow and working medium inlet temperature, and the variable operation parameters are outlet cold air temperature and working medium outlet temperature.
And (3) setting the flow parameter after balance calculation as a fixed value, continuously adjusting the inlet temperature, performing overall benefit optimization judgment through an overall benefit optimization judgment module, returning to the step (2) if the flow parameter is not optimal, continuously adjusting the variable parameter, and giving the maximum benefit of the system and the variation trend of the operation control parameter under different load sections and different environmental temperatures if the flow parameter is optimal to serve as operation guidance.
The optimization searching system collects real-time operation data of a unit under the current working condition, calculates design parameters of a coupling system according to the real-time data, sets flue gas flow, cold air flow and cold air inlet temperature as unadjustable fixed parameters of the system under the current working condition, respectively takes working medium inlet temperature and working medium flow of a subsystem A as adjustable fixed values, and then carries out simulation calculation and searches for optimal benefit parameters of a variable-variable subsystem B by taking the working medium inlet temperature and the working medium flow as variable parameters; meanwhile, the working medium inlet temperature and the working medium flow of the subsystem B are respectively used as adjustable fixed values, and then the optimal benefit parameters of the variable subsystem A under the condition that the working medium inlet temperature and the working medium flow are used as variable parameters are simulated, calculated and searched. And then comparing the adjustable fixed parameters of the adjusting subsystem A or B, finally searching the optimal value of the optimal overall benefit and the operation parameters, and giving operation guidance.
The invention has reasonable structure and flexible adjustment, solves the operation problem that the overall benefit cannot reach the maximum when the operation parameter in the waste heat utilization coupling system deviates from the design value, ensures the optimization of the comprehensive economic benefit of the coupling system, and is suitable for wide popularization and application.
(IV) description of the drawings
The invention will be further described with reference to the accompanying drawings.
FIG. 1 is a logic diagram of the present invention.
(V) detailed description of the preferred embodiments
The attached drawing is an embodiment of the invention. The system comprises a real-time data acquisition module, wherein a coupling system is divided into two subsystems A and B, the subsystem A heats boiler air supply by using low-temperature flue gas and partial condensed water heat, and the subsystem B heats steam turbine condensed water by using high-temperature flue gas; the real-time data acquisition module is connected with the coupling system design parameter calculation module, and the coupling system design parameter calculation module is connected with the subsystem A operation parameter adjustment calculation module and the subsystem B operation parameter adjustment calculation module in parallel; the subsystem A operation parameter adjustment calculation module and the subsystem B operation parameter adjustment calculation module are respectively connected in parallel with the coupling system overall benefit calculation module, the overall benefit optimization judgment module and the operation guidance module in sequence through the subsystem A parameter variable calculation module and the system B parameter variable calculation module.
The waste heat utilization coupling system of the embodiment heats boiler air supply (subsystem A) by using low-temperature flue gas waste heat and partial condensed water heat, heats partial condensed water (subsystem B) by using high-temperature flue gas waste heat, sets operation parameter monitoring measuring points in each subsystem, and adds a multivariable benefit optimizing module in an operation control system of the coupling system. The multivariable benefit optimizing module (1) firstly acquires real-time data of the system, (2) according to parameters such as load, fuel and the like of a boiler unit, and by combining related measuring point data, partial design parameters of the coupling system are calculated according to heat balance: and taking the three parameters as the first fixed parameters under the current working condition according to the flue gas flow, the cold air flow and the cold air inlet temperature of the coupling system obtained from the measuring points. (3) And then, the inlet temperature of the working medium of the subsystem A, B is respectively in a set range, and is set as a fixed value by combining with the measured data, and the flow parameter of the working medium is adjusted by a certain increase and decrease range. And respectively carrying out subsystem calculation: (3-1A) the subsystem A calculates the outlet working medium temperature and the outlet flue gas temperature in a balanced manner according to the adjusted inlet temperature and the actually measured inlet flue gas temperature, and (3-2A) the inlet flue gas temperature of the subsystem B is obtained according to the balanced calculation of the subsystem A, and then the cold air temperature of the outlet and the working medium outlet temperature of the subsystem B, which reach the inlet flue gas temperature required by the subsystem A, are calculated. (3-3A) then carrying out comprehensive benefit calculation of the coupling system, judging whether the benefit is increased, if so, returning to (3-2A) to continuously adjust the parameters of the subsystem B: working medium flow and working medium inlet temperature. (3-1B) the subsystem B calculates the outlet working medium temperature, the inlet flue gas temperature, the outlet cold air temperature and the inlet flue gas temperature of the subsystem A in a balanced manner according to the adjusted inlet temperature, the actually measured inlet cold air temperature and the set outlet flue gas temperature, and (3-2B) the inlet flue gas temperature and the outlet flue gas temperature of the subsystem A are obtained according to the balanced calculation of the subsystem B, and then the working medium outlet temperature of the subsystem A is calculated. (3-3B) then carrying out comprehensive benefit calculation of the coupled system, and if the comprehensive benefit is increased, returning to (3-2B) and continuously adjusting the parameters of the subsystem A: working medium flow and working medium inlet temperature. (4) And (4) analyzing the comprehensive benefits of the coupling system, continuing to step (3), and seeking the optimal benefits under the condition of constant working medium inlet temperature and system working medium flow adjustment. And (4) setting the flow in the step (3) as a fixed value, continuously adjusting the inlet temperature in a certain amplitude change, and seeking the optimal benefit of the coupling system under the condition of a certain flow. And finally, giving the maximum benefit of the system and the variation trend of the operation control parameters under different load sections and different environmental temperatures as operation guidance.
Claims (6)
1. The utility model provides a multivariable benefit of waste heat utilization coupled system of optimizing, includes real-time data acquisition module, its characterized in that: the coupling system is divided into two subsystems: the system comprises a subsystem A and a subsystem B, wherein the subsystem A heats boiler air supply by using low-temperature flue gas and partial heat of condensed water, and the subsystem B heats turbine condensed water by using high-temperature flue gas; the real-time data acquisition module is connected with the coupling system design parameter calculation module, and the coupling system design parameter calculation module is connected with the subsystem A operation parameter adjustment calculation module and the subsystem B operation parameter adjustment calculation module in parallel; the subsystem A operation parameter adjustment calculation module and the subsystem B operation parameter adjustment calculation module are respectively connected in parallel with the coupling system overall benefit calculation module, the overall benefit optimization judgment module and the operation guidance module in sequence through the subsystem A parameter variable calculation module and the system B parameter variable calculation module.
2. The method for multivariable benefit optimization of a waste heat coupling system by using the system of claim 1, characterized by comprising the following steps: (1) setting operation parameter monitoring measuring points in the subsystem A and the subsystem B, acquiring real-time operation data of a unit through a real-time data acquisition module, calculating design parameters and benefits of each subsystem under the current operation condition by using a coupled system design parameter calculation module, and taking the calculated parameters as first batch of fixed parameters under the current operation condition; (2) setting the variables of the subsystem A and the subsystem B as parameters, adjusting the rest variables to balance the subsystems, then adjusting the variable of the previous subsystem to set the variable of the next subsystem as a fixed value, carrying out balance calculation on the next subsystem, and if the calculation benefit is increased, continuing to adjust the parameters of the previous subsystem; (3) and performing comprehensive benefit calculation on the coupling system, analyzing the variation trend of the optimal parameters after comparison, performing iterative calculation, determining the optimal operation parameters, guiding operation, and obtaining the maximum value of the overall economic benefit of the coupling system.
3. The multivariate benefit optimization method for the waste heat coupling system as recited in claim 2, wherein the multivariate benefit optimization method comprises the following steps: in the step (1), the first fixed parameters are the flue gas flow and the cold air flow of the coupling system calculated according to the heat balance and the cold air inlet temperature of the coupling system obtained according to the measuring point.
4. The multivariate benefit optimization method for the waste heat coupling system as recited in claim 2, wherein the multivariate benefit optimization method comprises the following steps: in the step (2), the specific adjustment steps are as follows: (2-1) adjusting the variable parameters of the subsystem A, and carrying out balance calculation on the subsystem A, (2-2) calculating the variable operation parameters and system balance of the subsystem B after the variable parameters of the subsystem A are changed, (2-3) carrying out overall benefit calculation and judging whether the benefit is increased, and repeating the steps (2-2) - (2-3) if so; (2-4) simultaneously adjusting the variable parameters of the subsystem B and carrying out balance calculation of the subsystem B, (2-5) calculating the variable operation parameters and system balance of the subsystem A after the variable parameters of the subsystem B are changed, and (2-6) calculating the overall benefit and judging whether the benefit is increased or not, for example, repeating the steps (2-5) - (2-6) additionally.
5. The multivariate benefit optimization method for the waste heat coupling system as recited in claim 2, wherein the multivariate benefit optimization method comprises the following steps: and (3) setting the flow parameter after balance calculation as a fixed value, continuously adjusting the inlet temperature, performing overall benefit optimization judgment through an overall benefit optimization judgment module, returning to the step (2) if the flow parameter is not optimal, continuously adjusting the variable parameter, and giving the maximum benefit of the system and the variation trend of the operation control parameter under different load sections and different environmental temperatures if the flow parameter is optimal to serve as operation guidance.
6. The multivariate benefit optimization method for the waste heat coupling system according to claim 4, characterized in that: in the step (2), the variable parameters are the working medium flow and the working medium inlet temperature, and the variable operation parameters are the outlet cold air temperature and the working medium outlet temperature.
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