Feed-forward predictive control method and device for wide-load denitration composite hot water recirculation system
By adopting the feedforward prediction and control method of the wide-load denitrification composite hot water recirculation system in supercritical units, the problem that the denitrification system cannot be put into operation normally during the deep peak shaving process is solved, and more efficient smoke temperature regulation and unit stability are achieved.
Patent Information
- Application Number
- CN202411725939.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-28
- Publication Date
- 2025-02-28
- Estimated Expiration
- 2044-11-28
Smart Images
Figure CN119536087A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of energy system control, and in particular to a feedforward predictive control method and device for a wide-load denitration composite hot water recirculation system. Background Art
[0002] Coal-fired power generation is the main form of energy. Coal-fired units are developing in the direction of large capacity and super parameters, and supercritical units will become the mainstream form of future units. In recent years, with the continuous increase in the proportion of installed capacity of renewable energy such as new energy, its volatility and uncertainty have an adverse impact on the safe and stable operation of the power grid. Traditional coal-fired units are more transformed from basic energy to regulating energy, requiring traditional thermal power generating units to have deep peak-shaving capabilities. On the other hand, during the deep peak-shaving process, the units are in low-load operation for a long time, causing a series of problems, such as: the denitrification system cannot be put into operation normally, combustion is unstable, water dynamic safety cannot be guaranteed, and heating is limited. Among them, the denitrification system has strict requirements on temperature. When the unit is running at low load, the flue gas temperature cannot meet the temperature window of the denitrification system catalyst well, resulting in the inability to put the denitrification system into operation, the unit's pollution discharge exceeds the limit, and even causes the unit to shut down, seriously affecting the safe, economical and stable operation of the thermal power unit.
[0003] At present, most of the research on the composite hot water recirculation technology of supercritical units under deep peak regulation is based on the research on its regulation depth and system process design, and rarely on its control logic scheme. Most of them are based on the manual adjustment of flue gas temperature control based on the experience of operators, which is difficult to control and has low regulation efficiency. In addition, the current research often rarely considers the nonlinearity, delay and constraint problems of the coordinated control of economizer water bypass and hot water recirculation bypass in actual flue gas temperature control. Therefore, a composite hot water recirculation feedforward predictive control scheme for supercritical units is urgently needed to solve the above technical problems. Summary of the invention
[0004] In view of this, the present invention provides a feedforward predictive control method and device for a wide-load denitrification composite hot water recirculation system, which can improve the degree of automation of wide-load denitrification transformation technology, and improve the accuracy and flexibility of inlet flue gas temperature regulation of the wide-load denitrification composite hot water recirculation denitrification system under deep peak regulation, thereby improving the safety and stability of the unit during deep peak regulation, as well as the system operation efficiency, and reducing the difficulty of control operation.
[0005] According to one aspect of the present invention, an embodiment of the present invention provides a feedforward predictive control method for a wide load denitration composite hot water recirculation system, the method comprising:
[0006] Obtain the real-time boiler load of the selected supercritical unit and the critical load corresponding to the dry-wet switching condition;
[0007] Determine the operating mode of the boiler according to the real-time load of the boiler and the critical load, so as to automatically switch the operating mode; wherein the operating mode includes: a dry operating mode and a wet operating mode;
[0008] Determine the working medium flow direction in the economizer bypass pipeline and the hot water recirculation bypass pipeline in the composite hot water recirculation system under the operating mode to construct a corresponding operating model;
[0009] Obtaining the water-cooled wall inlet temperature, and based on the real-time boiler load, the water-cooled wall inlet temperature, the economizer bypass pipe water flow rate and the hot water recirculation bypass water flow rate in the operating model, and a pre-built feedforward predictive control model, collaboratively controlling the inlet flue gas temperature of the composite hot water recirculation denitration system and the economizer outlet subcooling degree;
[0010] Among them, the feedforward predictive control model is constructed by conducting a closed-loop simulation experiment based on the working medium flow direction in the economizer bypass pipe and the hot water recirculation bypass pipe corresponding to the operating model, and the water flow rate of the economizer bypass pipe and the hot water recirculation bypass pipe in the downward direction of the working medium.
[0011] According to another aspect of the present invention, an embodiment of the present invention further provides a feedforward predictive control device for a wide load denitration composite hot water recirculation system, the device comprising:
[0012] An information acquisition module is used to obtain the real-time boiler load of the selected supercritical unit and the critical load corresponding to the dry-wet switching condition;
[0013] An operating condition determination module, used to determine the operating condition mode of the boiler according to the real-time load of the boiler and the critical load, so as to automatically switch the operating condition mode; wherein the operating condition mode includes: a dry operating mode and a wet operating mode;
[0014] An operation model building module, used to determine the working medium flow direction in the economizer bypass pipeline and the hot water recirculation bypass pipeline in the composite hot water recirculation system under the operation mode, so as to build a corresponding operation model;
[0015] A control module, for obtaining the water wall inlet temperature, and collaboratively controlling the inlet flue gas temperature of the composite hot water recirculation denitration system and the economizer outlet subcooling degree based on the real-time boiler load, the water wall inlet temperature, the economizer bypass pipe water flow rate and the hot water recirculation bypass water flow rate in the operating model, and a pre-built feedforward predictive control model;
[0016] Among them, the feedforward predictive control model is constructed by conducting a closed-loop simulation experiment based on the working medium flow direction in the economizer bypass pipe and the hot water recirculation bypass pipe corresponding to the operating model, and the water flow rate of the economizer bypass pipe and the hot water recirculation bypass pipe in the downward direction of the working medium.
[0017] According to another aspect of the present invention, an embodiment of the present invention further provides an electronic device, the electronic device comprising:
[0018] at least one processor; and
[0019] a memory communicatively connected to the at least one processor; wherein,
[0020] The memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the feedforward predictive control method of the wide-load denitrification composite hot water recycling system described in any embodiment of the present invention.
[0021] According to another aspect of the present invention, an embodiment of the present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the feedforward predictive control method of the wide-load denitrification composite hot water recycling system described in any embodiment of the present invention when executed.
[0022] According to another aspect of the present invention, an embodiment of the present invention further provides a computer program product, characterized in that the computer program product includes a computer program, and when the computer program is executed by a processor, it implements the feedforward predictive control method of the wide load denitrification composite hot water recycling system described in any embodiment of the present invention.
[0023] The above-mentioned technical scheme of the embodiment of the present invention determines the operating mode of the boiler through the obtained real-time load and critical load of the boiler, thereby determining the working medium flow direction of the economizer bypass pipe and the hot water recirculation bypass pipe in the composite hot water recirculation system under the operating mode, and constructs a corresponding operating model. Therefore, based on the real-time load of the boiler, the water-cooled wall inlet temperature, the economizer bypass pipe water flow and the hot water recirculation bypass water flow in the operating model, and the pre-constructed feedforward predictive control model, the inlet flue gas temperature of the composite hot water recirculation denitrification system and the economizer outlet subcooling are collaboratively controlled, which can improve the automation degree of wide-load denitrification transformation technology, and improve the accuracy and flexibility of the inlet flue gas temperature regulation of the wide-load denitrification composite hot water recirculation denitrification system under deep peak regulation, thereby improving the safety and stability of the unit during deep peak regulation, as well as the system operation efficiency, and reducing the difficulty of control operation.
[0024] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS
[0025] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.
[0026] Figure 1 A flow chart of a feedforward predictive control method for a wide load denitration composite hot water recirculation system provided by one embodiment of the present invention;
[0027] Figure 2 A flow chart of another feedforward predictive control method for a wide load denitration composite hot water recirculation system provided by an embodiment of the present invention;
[0028] Figure 3 A schematic diagram of a supercritical unit composite hot water recirculation system in wet operation provided by an embodiment of the present invention;
[0029] Figure 4 A schematic diagram of a supercritical unit composite hot water recirculation dry operation provided by an embodiment of the present invention;
[0030] Figure 5 A schematic diagram of the architecture of a feedforward predictive control of a wide-load denitration composite hot water recirculation system provided by an embodiment of the present invention;
[0031] Figure 6 A schematic diagram of a feedforward predictive control method for a wide-load denitration composite hot water recirculation system provided by an embodiment of the present invention;
[0032] Figure 7 It is a structural block diagram of a feedforward predictive control device for a wide load denitration composite hot water recirculation system provided by an embodiment of the present invention;
[0033] Figure 8 A schematic diagram of the structure of an electronic device provided for implementing an embodiment of the present invention. DETAILED DESCRIPTION
[0034] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings 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 should fall within the scope of protection of the present invention.
[0035] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.
[0036] In one embodiment, Figure 1 A flow chart of a feedforward predictive control method for a wide-load denitrification composite hot water recirculation system provided in one embodiment of the present invention. This embodiment can be applied to the situation when feedforward predictive control is performed on a wide-load denitrification composite hot water recirculation system. The method can be executed by a feedforward predictive control device for the wide-load denitrification composite hot water recirculation system. The feedforward predictive control device for the wide-load denitrification composite hot water recirculation system can be implemented in the form of hardware and / or software.
[0037] like Figure 1 As shown, the method includes:
[0038] S110, obtaining the real-time boiler load of the selected supercritical unit and the critical load corresponding to the dry-wet state switching condition.
[0039] Among them, the dry-wet switching condition is the situation when switching to the dry condition or the wet condition. In this embodiment, the dry-wet switching can be determined according to the critical load corresponding to the dry-wet switching condition of the boiler to determine whether it is in the dry operation mode or the wet operation mode. The critical load can be understood as the critical load value of the dry-wet condition switching, which can be given by the design document of the boiler, that is, the critical load value of the boiler itself.
[0040] In this embodiment, the boiler type parameters of the selected supercritical unit may include but are not limited to the rated operating conditions of the boiler, the steam parameters of the unit, etc. Since the temperature of the water-cooled wall may overheat during the regulation process, in order to avoid this phenomenon, the system is operated within a safe range. The safe range is the operating condition and design condition of stable operation under normal conditions, which may include but are not limited to the optimal reaction temperature range threshold of the denitration system catalyst, the minimum and maximum values of the economizer outlet subcooling, which are used to constrain the flue gas temperature during the control and regulation process. Exemplarily, the optimal reaction temperature range of the unit denitration system catalyst can be expressed as: T op.min ≤T op ≤T op.max ; Among them, T op.min It is the lowest temperature at which the denitration catalyst can be put into reaction; T op.max is the maximum temperature at which the denitration catalyst can be put into the reaction; T op is the actual temperature of the denitration catalyst during operation. The minimum and maximum constraints of the economizer outlet subcooling can be expressed as δ min ≤δ≤δ max , where δ min is the minimum value of economizer outlet subcooling; δ max is the maximum value of the economizer outlet subcooling; δ is the value of the economizer outlet subcooling in actual operation. In this embodiment, the economizer is a device installed at the lower part of the flue at the tail end of the boiler to recover the waste heat of the exhaust gas. The water-cooled wall is the main heat-receiving part of the boiler. It is composed of several rows of steel pipes distributed around the boiler furnace.
[0041] In this embodiment, sensors pre-installed at multiple parameter detection points can be used to obtain the real-time boiler load of the selected supercritical unit, and by obtaining the critical load corresponding to the dry-wet switching condition, the operating mode of the boiler can be determined based on the real-time boiler load of the selected supercritical unit and the critical load corresponding to the dry-wet switching condition.
[0042] S120. Determine the operating mode of the boiler according to the real-time load and critical load of the boiler to automatically switch the operating mode.
[0043] The operating modes include dry operating mode and wet operating mode.
[0044] In this embodiment, the operating mode of the boiler can be determined by the real-time load of the boiler of the selected supercritical unit and the critical load corresponding to the dry-wet switching condition of the boiler, and the operating mode can be automatically switched. In some embodiments, the dry / wet mode can be judged and switched based on the relative size of the critical load corresponding to the dry-wet switching condition of the boiler and the real-time load signal of the boiler to automatically switch the operating mode. Specifically, the real-time load of the boiler and the critical load can be compared to obtain a comparison result, and the operating mode of the boiler can be determined based on the comparison result to automatically switch the operating mode. It can be understood that for supercritical units, when the unit is above the critical load to ensure a certain degree of superheat, the unit is in a dry operating mode, and when the unit is below the critical load, the unit is in a wet operating mode. Exemplary, Among them, Q c Expressed as critical load; Q r Expressed as real-time boiler load.
[0045] S130. Determine the flow direction of the working fluid in the economizer bypass pipeline and the hot water recirculation bypass pipeline in the composite hot water recirculation system under the operating mode to construct a corresponding operating model.
[0046] In this embodiment, the operating condition model can be understood as a mechanism model under wet operation or dry operation, which includes the working fluid flow direction of the economizer bypass pipe and the hot water recirculation bypass pipe in the composite hot water recirculation system in the wet operation mode, and the working fluid flow direction of the economizer bypass pipe and the hot water recirculation bypass pipe in the composite hot water recirculation system in the dry operation mode. It should be noted that the working fluid flow direction of the economizer bypass pipe and the hot water recirculation bypass pipe in the composite hot water recirculation system is different under different operating conditions.
[0047] In this embodiment, after determining the operating mode of the boiler, the boiler automatically switches the operating mode to the dry mode or the wet mode. Since the working fluid flow directions corresponding to different operating modes are different, a dry operating model corresponding to the dry mode and a wet operating model corresponding to the wet mode can be constructed. In this embodiment, the working fluid flow directions in the pipeline are different in different states (dry operation and wet operation), so it is necessary to first determine whether it is a dry operation state or a wet operation state, and then design a specific predictive control according to the specific mode.
[0048] In this embodiment, in the wet operation mode, the water flow in the economizer water bypass pipe is regulated by the economizer bypass regulating valve, and the hot water in the hot water recirculation bypass pipe flows out from the steam-water separator water tank and flows into the economizer inlet for recirculation; in the dry operation mode, the water flow in the economizer water bypass pipe is regulated by the economizer bypass regulating valve, and a dry circulation pipe is added between the economizer outlet pipe and the economizer inlet pipe, and a corresponding new economizer regulating valve is added to the dry circulation pipe, and the working fluid flow in the dry operation mode is regulated by the economizer bypass regulating valve and the new economizer regulating valve. Therefore, the mechanism model under wet operation or dry operation can be constructed according to the flow direction of the working fluid in the pipeline under different working modes.
[0049] S140. Obtain the water-cooled wall inlet temperature, and based on the real-time boiler load, the water-cooled wall inlet temperature, the economizer bypass pipe water flow and the hot water recirculation bypass water flow in the operating model, and the pre-built feedforward predictive control model, coordinately control the inlet flue gas temperature of the composite hot water recirculation denitrification system and the economizer outlet subcooling.
[0050] Among them, the water flow rate of the economizer bypass pipeline and the water flow rate of the hot water recirculation bypass are controlled by the economizer bypass regulating valve and the hot water recirculation bypass regulating valve respectively.
[0051] In this embodiment, the feedforward predictive control model is constructed by conducting a closed-loop simulation experiment based on the working medium flow direction in the economizer bypass pipe and the hot water recirculation bypass pipe corresponding to the operating condition model, as well as the water flow rate of the economizer bypass pipe and the hot water recirculation bypass pipe under the working medium flow. It can be understood that the feedforward predictive control model can obtain the closed-loop operation data of the hot water recirculation SCR denitrification system by conducting a closed-loop simulation experiment on the hot water recirculation system through the working medium flow direction corresponding to the dry operating condition operation model and the wet operating condition operation model, as well as the water flow rate of the economizer bypass pipe and the hot water recirculation bypass pipe under the working medium flow, thereby constructing a feedforward predictive control model through the closed-loop operation data to control the inlet flue gas temperature and economizer outlet subcooling degree of the composite hot water recirculation denitrification system. It should be noted that in this embodiment, the operating mode of the boiler can be adjusted according to the real-time load of the boiler, as well as the flow direction of the working fluid in the economizer bypass pipe and the hot water recirculation bypass pipe in the composite hot water recirculation system under the operating mode. The real-time load of the boiler and the water-cooled wall inlet temperature are used as feedforward disturbance signals to make real-time corrections to the feedforward predictive control model to increase the accuracy of the feedforward predictive control model. It can be understood that during the boiler wide load denitrification control process, it is necessary to make corresponding adjustments to the boiler operating mode and the composite hot water recirculation operating state according to the real-time load signal of the boiler. At the same time, the water-cooled wall inlet temperature cannot be too high or too low during the adjustment process. The real-time load of the boiler and the water-cooled wall inlet temperature are regarded as measurable disturbances, which can be used for subsequent real-time corrections to the feedforward prediction model to increase the accuracy of the prediction model. Specifically, the feedforward disturbance signal is expressed as: v=f(ν s ,Q r ), where ν s Expressed as the water wall inlet temperature disturbance, Q r is represented by the real-time boiler load disturbance, and f is represented by ν s With Q r The mapping relationship between them.
[0052] In some embodiments, a state space dynamic model corresponding to the hot water recirculation system can be obtained through subspace identification methods and closed-loop operation data identification, which is used to predict the future behavior of the system. At the current time step, the system model and the current state are used to make predictions to obtain the predicted value of the future state. Based on the predicted future state, an optimization problem is constructed, performance indicators and constraints are defined, and numerical optimization methods are used to solve the established optimization problem to obtain the best control input sequence. The analytical results of the optimization problem are applied to the system, the first input value of the control input sequence is executed, and the system state is updated to the measured value of the next time step. The control strategy is continuously updated to achieve optimal control of the system state.
[0053] In this embodiment, the feedforward control model can calculate the corresponding control measures by predicting the upcoming disturbance. According to the predicted disturbance or the change of the system input, the feedforward controller adjusts the control input to offset these changes, thereby maintaining the stability of the system output. In this embodiment, the water wall inlet temperature and the real-time boiler load are used as the feedforward disturbance signal of the feedforward predictive controller, and the hot water recirculation loop flow and economizer bypass flow in the dry condition operation model or the wet condition operation model are transmitted to the feedforward predictive control actuator in the form of instructions to coordinately control the flue gas temperature at the denitration system inlet and the economizer outlet subcooling. It can be understood that the acquired signal is sent to the predictive control model as a feedforward measurable disturbance after noise removal and data cleaning, and the composite hot water recirculation model is corrected in real time. Then, the hot water recirculation loop flow and economizer bypass flow when operating under dry conditions, or the hot water recirculation loop flow and economizer bypass flow when operating under wet conditions are used as input control quantities and sent to the feedforward predictive control model in the form of instructions for rolling optimization of the input control quantities until the SCR inlet temperature set value corresponding to the hot water recirculation loop flow and the economizer bypass flow are The difference between the economizer outlet subcooling set value corresponding to the quantity and the SCR inlet temperature and economizer outlet subcooling output by the feedforward predictive control model is within the preset range, so as to realize the coordinated control of the denitrification system inlet flue gas temperature and economizer outlet subcooling. It can be understood that, through the given boiler load, hot water recirculation loop flow, and economizer bypass flow, the economizer bypass pipe water flow and the hot water recirculation bypass water flow in the operating condition model are automatically adjusted, so that the flue gas temperature of the denitrification system can reach above 300°C, so that the denitrification system can operate stably.
[0054] The above-mentioned technical scheme of the embodiment of the present invention determines the operating mode of the boiler through the obtained real-time load and critical load of the boiler, thereby determining the working medium flow direction of the economizer bypass pipe and the hot water recirculation bypass pipe in the composite hot water recirculation system under the operating mode, and constructs a corresponding operating model. Therefore, based on the real-time load of the boiler, the water-cooled wall inlet temperature, the economizer bypass pipe water flow and the hot water recirculation bypass water flow in the operating model, and the pre-constructed feedforward predictive control model, the inlet flue gas temperature of the composite hot water recirculation denitrification system and the economizer outlet subcooling are collaboratively controlled, which can improve the automation degree of wide-load denitrification transformation technology, and improve the accuracy and flexibility of the inlet flue gas temperature regulation of the wide-load denitrification composite hot water recirculation denitrification system under deep peak regulation, thereby improving the safety and stability of the unit during deep peak regulation, as well as the system operation efficiency, and reducing the difficulty of control operation.
[0055] In one embodiment, Figure 2A flow chart of another feedforward predictive control method for a wide-load denitrification composite hot water recirculation system provided in one embodiment of the present invention. Based on the above embodiments, this embodiment determines the operating mode of the boiler according to the real-time load and critical load of the boiler, automatically switches the operating mode, determines the flow direction of the working fluid in the economizer bypass pipe and the hot water recirculation bypass pipe in the composite hot water recirculation system under the operating mode, so as to construct a corresponding operating model, and collaboratively controls the inlet flue gas temperature and economizer outlet subcooling of the composite hot water recirculation denitrification system based on the real-time load of the boiler, the water-cooled wall inlet temperature, the economizer bypass pipe water flow and the hot water recirculation bypass water flow in the operating model, and a pre-constructed feedforward predictive control model.
[0056] like Figure 2 As shown, the feedforward predictive control method of the wide load denitration composite hot water recirculation system in this embodiment may specifically include the following steps:
[0057] S210. Obtain the real-time boiler load of the selected supercritical unit and the critical load corresponding to the dry-wet state switching condition.
[0058] S220, real-time boiler load Q r Less than critical load Q c In the case of a fault, it is determined that the operating mode of the boiler is the wet operation mode and the boiler is automatically switched to the wet operation mode.
[0059] In this embodiment, the real-time load of the boiler is compared with the critical load. When the real-time load of the boiler is less than the critical load, the operation mode of the boiler is determined to be the wet operation mode, and the boiler is automatically switched to the wet operation mode. c Greater than the boiler real-time load signal Q r In the case of a fault, it automatically switches to wet operation mode.
[0060] S230: When the real-time load of the boiler is greater than or equal to the critical load, determine that the operating mode of the boiler is a dry operation mode, and automatically switch to dry operation.
[0061] In this embodiment, when the real-time load of the boiler is greater than or equal to the critical load, the operating mode of the boiler is determined to be the dry operation mode, and the boiler is automatically switched to the dry operation mode, that is, when the critical load Q c Less than or equal to the boiler real-time load signal Q r In the case of a dry condition, it automatically switches to dry operation mode.
[0062] S240. In the wet operation mode, the water flow in the economizer water bypass pipe is regulated by the economizer bypass regulating valve, and the hot water in the hot water recirculation bypass pipe flows out from the steam-water separator storage tank and flows into the economizer inlet for recirculation, and the working medium flow direction in the wet operation mode is composed of a wet working condition operation model.
[0063] In this embodiment, in the wet operation mode, the water flow of the economizer water bypass pipe is adjusted by the economizer bypass regulating valve, and the hot water in the hot water recirculation bypass pipe flows out from the water storage tank of the steam-water separator and flows into the economizer inlet for recirculation, and the working medium flow in the wet operation mode is composed of the wet working condition operation model. It can be understood that when the boiler is in wet operation, the bypass water flow is adjusted by the bypass regulating valve, and the hot water in the recirculation pipeline flows out from the water storage tank of the steam-water separator and flows into the economizer inlet for circulation, thereby increasing the economizer inlet water temperature, reducing the heat exchange of flue gas in the economizer, and increasing the flue gas temperature at the denitration system inlet.
[0064] In this embodiment, in order to better understand the wet operation mode, Figure 3 A schematic diagram of a supercritical unit composite hot water recirculation system in wet operation provided by an embodiment of the present invention, Figure 3 The flow meter, check valve and other equipment on the pipeline are omitted. Figure 3 The blue dotted line and orange dotted line in the figure represent the working medium flow direction of the economizer water bypass and the hot water circulation bypass respectively; it is worth noting that when the boiler is running in wet state, the bypass water flow is adjusted by the bypass regulating valve, and the hot water in the recirculation pipeline flows out of the steam-water separator water tank and flows into the economizer inlet for circulation, thereby increasing the economizer inlet water temperature. The heat exchange of flue gas in the economizer is reduced, and the flue gas temperature at the inlet of the denitrification system is increased.
[0065] In this embodiment, the flow direction of the simple water bypass is the same in the dry and wet states, but the boiler for hot water recirculation is different. In the wet state, the hot water in the recirculation pipeline flows out from the steam-water separator storage tank; in the dry state, an additional dry circulation pipeline is provided to connect the economizer outlet pipeline to the economizer inlet pipeline.
[0066] S250. In the dry operation mode, the water flow in the economizer water bypass pipe is regulated by the economizer bypass regulating valve, and a dry circulation pipe is added between the economizer outlet pipe and the economizer inlet pipe. A corresponding new economizer regulating valve is added to the dry circulation pipe, and the working medium flow in the dry operation mode is regulated by the economizer bypass regulating valve and the new economizer regulating valve, and the working medium flow direction in the dry operation mode is composed of a dry working condition operation model.
[0067] In this embodiment, in the case of dry operation mode, the water flow of the economizer water bypass pipeline is regulated by the economizer bypass regulating valve, and a dry circulation pipeline is added between the economizer outlet pipeline and the economizer inlet pipeline, and a corresponding new economizer regulating valve is added to the dry circulation pipeline. The working fluid flow in the dry operation mode is regulated by the economizer bypass regulating valve and the new economizer regulating valve, and the working fluid flow direction in the dry operation mode is composed of a dry working condition operation model. It can be understood that when the boiler is in dry operation, due to the change in the working fluid flow state, the recirculation pipeline is different from the wet recirculation pipeline, and it is necessary to add a dry circulation pipeline from the economizer outlet pipeline to the economizer inlet pipeline. In the newly added pipeline, a corresponding regulating valve needs to be added to adjust the working fluid flow in the dry state, and the economizer bypass pipeline does not need to be modified too much.
[0068] In this embodiment, in order to better understand the wet operation mode, Figure 4 A schematic diagram of a supercritical unit composite hot water recirculation dry operation according to an embodiment of the present invention is provided. Figure 4 The flow meter, check valve and other equipment on the pipeline are also omitted. The blue dotted line and orange dotted line represent the working medium flow direction of the economizer water bypass and the hot water circulation bypass respectively. When the boiler is running in dry state, due to the change of the working medium flow state, the recirculation pipeline is different from the wet recirculation pipeline, and it is necessary to add a dry circulation pipeline to connect the economizer outlet pipeline to the economizer inlet pipeline. In the newly added pipeline, it is necessary to add a corresponding regulating valve to adjust the working medium flow in the dry state, and the economizer bypass pipeline does not need to be changed too much.
[0069] S260, obtaining the water-cooled wall inlet temperature, and using the boiler real-time load and the water-cooled wall inlet temperature as the feedforward disturbance signal of the feedforward predictive control model.
[0070] In this embodiment, the water wall inlet temperature is obtained, and the boiler real-time load and the water wall inlet temperature are used as the feedforward disturbance signal of the feedforward predictive control model and input into the feedforward predictive control model. The feedforward disturbance signal is expressed as: v = f(ν s ,Q r ), where ν s Expressed as the water wall inlet temperature disturbance, Q r is represented by the real-time boiler load disturbance, and f is represented by ν s With Q r In this embodiment, during the boiler wide load denitration control process, it is necessary to calculate the real-time boiler load signal Q rThe boiler operation mode and the composite hot water recirculation operation status are adjusted accordingly. At the same time, the water-cooled wall inlet temperature cannot be too high or too low during the adjustment process. This control strategy regards the water-cooled wall inlet temperature and the boiler real-time load signal as measurable disturbances, which are used for subsequent real-time correction of the feedforward prediction model to increase the accuracy of the prediction model.
[0071] S270. The hot water recirculation loop flow and economizer bypass flow in the dry condition operation model or the wet condition operation model are used as input control quantities and transmitted to the feedforward predictive control model in the form of instructions for rolling optimization of the input control quantities until the SCR inlet temperature set value corresponding to the hot water recirculation loop flow and the economizer outlet subcooling set value corresponding to the economizer bypass flow are within the preset range with the difference between the SCR inlet temperature and the economizer outlet subcooling output by the feedforward predictive control model, thereby realizing coordinated control of the denitrification system inlet flue gas temperature and economizer outlet subcooling.
[0072] Among them, the operating condition model includes a dry operating condition model and a wet operating condition model.
[0073] In this embodiment, the real-time boiler load and the water-cooled wall inlet temperature are used as feedforward disturbance signals of the feedforward predictive control model and output to the feedforward predictive control module for correction, and the hot water recirculation loop flow and the economizer bypass flow in the dry condition operation model are used as input control quantities, or the hot water recirculation loop flow and the economizer bypass flow in the wet condition operation model are used as input control quantities, which are transmitted to the feedforward predictive control model in the form of instructions for rolling optimization of the input control quantities until the SCR inlet temperature set value corresponding to the hot water recirculation loop flow and the economizer outlet subcooling set value corresponding to the economizer bypass flow are within the preset range with respect to the SCR inlet temperature and the economizer outlet subcooling output by the feedforward predictive control model, so as to realize coordinated control of the denitrification system inlet flue gas temperature and economizer outlet subcooling.
[0074] In this embodiment, the construction of the feedforward predictive control model includes: conducting a closed-loop simulation experiment to obtain the closed-loop operation data of the hot water recirculation SCR denitrification system according to the working medium flow direction in the economizer bypass pipe and the hot water recirculation bypass pipe respectively corresponding to the dry working condition operation model and the wet working condition operation model included in the working condition operation model, and the water flow rate of the economizer bypass pipe and the water flow rate of the hot water recirculation bypass pipe under the working medium flow; initializing the inlet flue gas temperature of the hot water recirculation SCR denitrification system and the economizer outlet subcooling, and constructing a feedforward predictive control model based on the inlet flue gas temperature of the hot water recirculation SCR denitrification system, the economizer outlet subcooling and the closed-loop operation data.
[0075] More specifically, a feedforward predictive control model is constructed based on the inlet flue gas temperature of the SCR denitrification system, the economizer outlet subcooling degree and the closed-loop operation data, including: using the subspace identification method and the closed-loop operation data to identify the state space dynamic model corresponding to the hot water recirculation system; obtaining the incremental model corresponding to the hot water recirculation system according to the pre-defined control increment and the state space dynamic model; obtaining the characteristic matrix coefficients corresponding to the hot water recirculation system, and constructing the augmented model corresponding to the hot water recirculation system according to the incremental model and the characteristic matrix coefficients; setting the prediction step size to p and the control step size to m, and using the augmented model to derive the target state variables and target output variables of the hot water recirculation SCR denitrification system; wherein the prediction step size is greater than the control step size; constructing the optimization objective function of the target optimization problem based on the target state variables and the target output variables; optimizing the optimization objective function by a rolling optimization method to obtain the optimized feedforward predictive control function, and using the feedforward predictive control function as the feedforward predictive control model.
[0076] In this embodiment, the subspace identification method is a subspace identification algorithm in the prior art, which mainly includes three steps. The first step is to calculate the row space projection of the input and output data matrix. The typical approach of this step is to perform QR decomposition. The second step is to perform singular value decomposition on the projection result to obtain the Kalman estimate under the order of the system, the observable matrix and the state sequence. Finally, the characteristic matrix coefficients A, B, C, D and the noise covariance matrix corresponding to the hot water recycling system are determined through the Kalman estimate under the observable matrix and the state sequence.
[0077] In this embodiment, the closed-loop simulation experiment can be understood as a learning process. The bypass pipeline flow W is adjusted through the experiment. e and recirculation line flow W r One or two of the above can be used to observe the economizer outlet subcooling δ and the denitrification inlet flue gas temperature T e The process of analyzing the increase or decrease of the bypass pipe flow rate W can be understood as the process of learning the feedforward predictive control model, which can then be directly applied to automatically and reasonably adjust the bypass pipe flow rate W according to the situation. e and recirculation line flow W r The proportion in the control quantity meets the requirements.
[0078] In one embodiment, the state-space dynamic model is expressed as: Among them, λ(k) represents the state variable of the hot water recirculation denitrification system at time k, λ(k+1) represents the state variable of the hot water recirculation denitrification system at time k+1; u(k) represents the input variable of the hot water recirculation denitrification system at time k, and the input variable is characterized by the hot water recirculation bypass water flow and the economizer bypass pipe water flow; y(k) represents the output variable of the hot water recirculation denitrification system at time k, and the output variable is characterized by the inlet flue gas temperature of the hot water recirculation denitrification system and the economizer outlet subcooling; v(k) represents the feedforward disturbance signal at time k, which is characterized by the real-time boiler load and the water-cooled wall inlet temperature; A, B, C, and D all represent the characteristic matrix coefficients corresponding to the hot water recirculation system.
[0079] In one embodiment, the predefined control increment is expressed as: Among them, Δλ(k+1) is expressed as the incremental form of the defined λ(k+1); Δu(k) is expressed as the incremental form of the defined u(k), and u(k-1) is expressed as the input variable of the hot water recycling denitrification system at time k-1; Δv(k) is expressed as the incremental form of the defined v(k), and v(k-1) is expressed as the feedforward disturbance signal at time k-1; the incremental model is expressed as follows: Among them, Δλ(k+1) represents the incremental state variable of the hot water recirculation denitrification system at time k+1; Δy(k) represents the incremental output variable of the hot water recirculation denitrification system at time k, and the output variable is characterized by the inlet flue gas temperature of the hot water recirculation denitrification system and the outlet subcooling degree of the economizer; the augmented model is expressed by the formula: In the formula, It is represented as the augmented state variable of the hot water recycling denitrification system at time k+1, and y(k) represents the augmented output variable of the hot water recycling denitrification system at time k; in, and They are respectively represented as the augmented coefficients of the characteristic matrix coefficients A, B, C, and D; O represents an all-zero matrix, and I represents an identity matrix; It is expressed as the augmented state variable of the hot water recirculation denitrification system at time k; the relationship between the target output variable and the target state variable is expressed as follows: Where y(k+p) represents the output variable of the hot water recycling denitrification system at time k+p, p represents the prediction step length; ΔU represents the input increment sequence of the hot water recycling denitrification system, are respectively represented as matrix coefficients in the target output variable, where m is the control step size, p is the prediction step size, and i is the variable.
[0080] In one embodiment, the optimization objective function aims to minimize the error between the SCR denitrification system inlet temperature set value and the economizer outlet subcooling set value and the SCR inlet temperature and economizer outlet subcooling output by the feedforward predictive controller model respectively; the constraints corresponding to the optimization objective function include at least: controlled quantity constraints and control quantity constraints; the controlled quantity constraints include: upper and lower limit constraints on the flue gas inlet temperature of the denitrification system and upper and lower limit constraints on the economizer outlet subcooling; the control quantity constraints include: hot water recirculation loop working fluid flow constraints and economizer bypass water flow constraints.
[0081] The optimization objective function in this embodiment is expressed as follows: o -Y k ) T Q f (Y o -Y k )+ΔU T R f ΔU, where Y o represents the set value matrix of the controlled variable, which is characterized by the set value matrix of the flue gas inlet temperature of the denitrification system and the set value matrix of the subcooling degree at the economizer outlet; Y k It is represented as the sequence of output variables under the prediction step length, and the output variables are characterized by the inlet flue gas temperature of the hot water recirculation denitrification system and the outlet subcooling degree of the economizer; ΔU is represented as the sequence of input increments of the hot water recirculation denitrification system, and the input variables are characterized by the working medium flow rate of the hot water recirculation loop and the bypass water flow rate of the economizer; ΔU T Expressed as the transpose of ΔU, Q f represents the error weight matrix; R f is the control weight matrix; the constraints of the optimization objective function are expressed as: Among them, Δu min and Δu max They are respectively represented by the minimum and maximum increments of the hot water recirculation bypass water flow and the economizer bypass water flow, respectively, u min and u max They are the minimum and maximum values of the hot water recirculation bypass water flow and economizer bypass water flow, respectively, and y min and max They respectively represent the minimum and maximum values corresponding to the inlet flue gas temperature of the hot water recirculation denitrification system and the economizer outlet subcooling.
[0082] In actual operation control, the flow is adjusted by the valve opening. When the flue gas temperature at the denitrification inlet and the superheat at the economizer outlet are controlled by adjusting the recirculation pipeline flow and the economizer water bypass flow, the heat exchange between the working fluid and the flue gas takes time and has a certain delay effect. Therefore, the valve opening cannot be changed frequently and quickly. At the same time, it is necessary to set upper and lower limits for the bypass water flow and circulating loop water flow in the control quantity and the flue gas inlet temperature and supercooling degree of the controlled quantity denitrification system to ensure the safe and stable operation of the actual system.
[0083] The above-mentioned technical scheme of this embodiment, by taking the real-time boiler load and water-cooled wall inlet temperature as the feedforward disturbance signal of the feedforward predictive control model, taking the hot water recirculation loop flow and the economizer bypass flow as the input control quantities, is transmitted to the feedforward predictive control model in the form of instructions for rolling optimization of the input control quantities, until the SCR inlet temperature setting value corresponding to the hot water recirculation loop flow and the economizer outlet subcooling setting value corresponding to the economizer bypass flow are within the preset range with the difference between the SCR inlet temperature and the economizer outlet subcooling output by the feedforward predictive control model, thereby realizing coordinated control of the inlet flue gas temperature of the denitrification system and the economizer outlet subcooling, which can further improve the automation degree of wide-load denitrification transformation technology, and improve the accuracy and flexibility of the inlet flue gas temperature regulation of the wide-load denitrification composite hot water recirculation denitrification system under deep peak regulation, thereby improving the safety and stability of the unit during deep peak regulation, as well as the system operation efficiency, and reducing the difficulty of control operation.
[0084] In one embodiment, in order to better understand the process of the feedforward predictive control method of the wide load denitration composite hot water recirculation system, Figure 5 A schematic diagram of the architecture of a feedforward predictive control of a wide-load denitration composite hot water recirculation system provided by an embodiment of the present invention.
[0085] In this embodiment, both dry operation and wet operation essentially adjust the SCR system flue gas temperature and economizer outlet subcooling through the flow of the heat circulation pipeline and the economizer bypass. The difference lies in the different working fluid states and corresponding circulation loop pipelines in the two cases. The physical meanings of the relevant variables corresponding to the control strategy are detailed in Table 1.
[0086] like Figure 5 As shown, the boiler real-time load Q r And the water wall inlet temperature T w As the disturbance signal of the feedforward predictive control model, by adjusting the bypass pipe flow W e and recirculation line flow W r Make the inlet smoke temperature T e Above 300.
[0087] In this embodiment, the SCR denitrification inlet flue gas temperature setting value and the economizer inlet subcooling setting value can be understood as a stable value. Within the safety range, they need to be regulated. For example, when the power plant is reducing the load, there will be changes, that is, the real-time temperature is different from the set temperature. Figure 5 In the feedforward predictive controller, there is an inlet temperature and outlet subcooling behind it. These two are real-time. The preceding ones are the set value of the SCR denitrification inlet flue gas temperature and the set value of the economizer inlet subcooling. So how to make the difference between the real-time and the set value not too big? It is necessary to use a feedforward predictive controller to control the inlet temperature and outlet subcooling to a reasonable range, that is, the deviation between the set inlet temperature and outlet subcooling becomes smaller and smaller. The control method is to use the real-time boiler load and the water-cooled wall inlet temperature as the feedforward disturbance signal of the feedforward predictive control model, and input the economizer bypass water flow and the recirculation loop water flow into the feedforward predictive controller in the form of execution, and adjust the economizer bypass water flow and the recirculation loop water flow to minimize the difference. For example Figure 4 , dry operation: We is the flow of simple water bypass. The essential method is to adjust the opening of the economizer bypass valve through the blue valve θ e , by adjusting the valve, control the flow; (for example, the control amount becomes less, some heat will be absorbed in the economizer, and the temperature will rise,) the recirculation pipeline flow W r .
[0088] Table 1: Physical meaning of relevant variables corresponding to control strategies
[0089]
[0090] In one embodiment, in order to better understand the process of the feedforward predictive control method of the wide load denitration composite hot water recirculation system, Figure 6 A schematic diagram of a feedforward predictive control method for a wide-load denitration composite hot water recirculation system provided by an embodiment of the present invention.
[0091] like Figure 6 As shown, the specific feedforward predictive control method of the wide load denitrification composite hot water recirculation system includes the following steps:
[0092] a1. Obtain the initial unit parameters and the constraint parameters of the unit operation.
[0093] The initial unit parameters include the critical load Q corresponding to the dry-wet switching condition of the boiler cThe constraint parameters of the unit operation include at least: the boiler economizer outlet subcooling threshold, which includes the minimum economizer outlet subcooling value and the maximum economizer outlet subcooling value; the denitrification system inlet flue gas temperature threshold, which includes: the lowest temperature at which the denitrification catalyst can be put into reaction, and the highest temperature at which the denitrification catalyst can be put into reaction; the minimum and maximum values corresponding to the hot water recirculation bypass water flow and the economizer bypass water flow respectively; the minimum and maximum increments corresponding to the hot water recirculation bypass water flow and the economizer bypass water flow respectively.
[0094] a2. Obtain the real-time boiler load Q r , according to the real-time load of the boiler, the dry / wet state mode of the boiler is determined, the boiler state is automatically switched in real time, and a dry / wet system model is constructed.
[0095] a3. In dry / wet operating conditions, the dry / wet heat circulation pipeline is automatically switched, the dry / wet heat circulation pipeline is put into operation, the economizer bypass pipeline is put into operation, and the dry / wet mechanism model is constructed.
[0096] a4. Based on the working fluid flow directions corresponding to the dry / wet mechanism models, as well as the economizer bypass pipe water flow and the hot water recirculation bypass pipe water flow in the downward direction of the working fluid flow, a closed-loop simulation experiment is carried out on the hot water recirculation system to obtain the closed-loop operation data of the hot water recirculation SCR denitrification system.
[0097] a5. Initialize the hot water recirculation SCR denitrification system inlet flue gas temperature and economizer outlet subcooling, and build a feedforward predictive control model based on the hot water recirculation SCR denitrification system inlet flue gas temperature, economizer outlet subcooling and closed-loop operation data.
[0098] a6. Obtain the water-cooled wall inlet temperature, and transmit the water-cooled wall inlet temperature and boiler real-time load signal as feedforward to the prediction model. Transmit the hot water recirculation loop flow and economizer bypass flow in the form of instructions to the feedforward prediction control actuator to coordinately control the denitrification system inlet flue gas temperature and economizer outlet subcooling.
[0099] In this embodiment, a composite hot water recirculation feedforward control strategy is taken into account under deep regulation of supercritical units. By considering factors such as the water-wall inlet temperature fluctuation and the real-time heat load of the boiler during actual operation, they are regarded as measurable disturbances and used as feedforward to perform real-time correction on the prediction model to improve the model accuracy. By controlling the economizer bypass regulating valve and the hot water circulation bypass regulating valve to change the water bypass and circulation bypass water flow rates, the coupling relationship between them is utilized to realize automatic adjustment of the flue gas temperature at the inlet of the denitrification system and the subcooling degree at the economizer outlet, thereby improving the overall automation level of the system, which has far-reaching significance for achieving deep peak regulation of supercritical units and safe and stable operation of units.
[0100] In one embodiment, Figure 7 This is a structural block diagram of a feedforward predictive control device for a wide load denitration composite hot water recirculation system provided by an embodiment of the present invention. The device is suitable for performing feedforward predictive control on a wide load denitration composite hot water recirculation system. The device can be implemented by hardware / software. Figure 7 As shown, the device includes: an information acquisition module 710, a working condition determination module 720, an operation model construction module 730 and a control module 740.
[0101] The information acquisition module 710 is used to obtain the real-time boiler load of the selected supercritical unit and the critical load corresponding to the dry-wet switching condition;
[0102] The operating condition determination module 720 is used to determine the operating condition mode of the boiler according to the real-time load of the boiler and the critical load, so as to automatically switch the operating condition mode; wherein the operating condition mode includes: a dry operating mode and a wet operating mode;
[0103] An operation model building module 730 is used to determine the working medium flow direction in the economizer bypass pipeline and the hot water recirculation bypass pipeline in the composite hot water recirculation system under the operation mode to build a corresponding operation model;
[0104] The control module 740 is used to obtain the water wall inlet temperature, and coordinately control the inlet flue gas temperature of the composite hot water recirculation denitration system and the economizer outlet subcooling degree based on the real-time boiler load, the water wall inlet temperature, the economizer bypass pipe water flow rate and the hot water recirculation bypass water flow rate in the operating model, and the pre-built feedforward predictive control model;
[0105] Among them, the feedforward predictive control model is constructed by conducting a closed-loop simulation experiment based on the working medium flow direction in the economizer bypass pipe and the hot water recirculation bypass pipe corresponding to the operating model, and the water flow rate of the economizer bypass pipe and the hot water recirculation bypass pipe in the downward direction of the working medium.
[0106] In this embodiment, the operation model construction module constructs a corresponding operating condition model through the working medium flow direction of the economizer bypass pipe and the hot water recirculation bypass pipe in the composite hot water recirculation system under the operating condition mode. As a result, the control module collaboratively controls the inlet flue gas temperature of the composite hot water recirculation denitrification system and the economizer outlet subcooling based on the real-time boiler load, the water-cooled wall inlet temperature, the economizer bypass pipe water flow and the hot water recirculation bypass water flow in the operating condition operation model, and the feedforward predictive control model. This can improve the automation level of wide-load denitrification transformation technology, and improve the accuracy and flexibility of the inlet flue gas temperature regulation of the wide-load denitrification composite hot water recirculation denitrification system under deep peak regulation, thereby improving the safety and stability of the unit during deep peak regulation, as well as the system operation efficiency, and reducing the difficulty of control operations.
[0107] In one embodiment, the operating condition determination module 720 includes:
[0108] A wet operation unit, used for determining that the operating mode of the boiler is a wet operation mode and automatically switching to wet operation when the real-time load of the boiler is less than the critical load;
[0109] The dry operation unit is used to determine that the operating mode of the boiler is the dry operation mode and automatically switch to the dry operation mode when the real-time load of the boiler is greater than or equal to the critical load.
[0110] In one embodiment, running the model building module 730 includes:
[0111] A wet model building unit, used for, in the wet operation mode, adjusting the water flow of the economizer water bypass pipeline by the economizer bypass regulating valve, the hot water in the hot water recirculation bypass pipeline flows out from the steam-water separator water storage tank and flows into the economizer inlet for recirculation, and the working medium flow direction in the wet operation mode forms a wet operation model;
[0112] A dry model building unit is used for adjusting the water flow in the economizer water bypass pipe through an economizer bypass regulating valve under the dry operation mode, and adding a dry circulation pipe between the economizer outlet pipe and the economizer inlet pipe, adding a corresponding new economizer regulating valve in the dry circulation pipe, adjusting the working fluid flow in the dry operation mode through the economizer bypass regulating valve and the new economizer regulating valve, and combining the working fluid flow direction in the dry operation mode into a dry working condition operation model.
[0113] In one embodiment, the construction of the feedforward predictive control model includes:
[0114] According to the working medium flow directions in the economizer bypass pipe and the hot water recirculation bypass pipe respectively corresponding to the dry working condition operation model and the wet working condition operation model included in the working condition operation model, and the water flow rates of the economizer bypass pipe and the hot water recirculation bypass pipe in the downward direction of the working medium, a closed-loop simulation experiment is performed to obtain the closed-loop operation data of the hot water recirculation SCR denitrification system;
[0115] Initialize the hot water recirculation SCR denitration system inlet flue gas temperature and economizer outlet subcooling, and build a feedforward predictive control model based on the hot water recirculation SCR denitration system inlet flue gas temperature, the economizer outlet subcooling and the closed-loop operation data.
[0116] In one embodiment, the feedforward predictive control model is constructed based on the inlet flue gas temperature of the SCR denitration system, the outlet subcooling degree of the economizer and the closed-loop operation data, including:
[0117] A state space dynamic model corresponding to the hot water recirculation system is obtained by using a subspace identification method and closed-loop operation data identification;
[0118] Obtaining an incremental model corresponding to the hot water recirculation system according to a predefined control incremental formula and the state space dynamic model;
[0119] Acquire characteristic matrix coefficients corresponding to the hot water recirculation system, and construct an augmented model corresponding to the hot water recirculation system according to the incremental model and the characteristic matrix coefficients;
[0120] The prediction step length is set to p, the control step length is set to m, and the target state variable and the target output variable of the hot water recirculation SCR denitration system are derived using the augmented model; wherein the prediction step length is greater than the control step length;
[0121] An optimization objective function of the target optimization problem is constructed based on the target state variable and the target output variable; wherein the optimization objective function aims to minimize the error between the SCR denitration system inlet temperature setting value and the economizer outlet subcooling setting value and the SCR inlet temperature and economizer outlet subcooling output by the feedforward prediction controller model, respectively; the constraints corresponding to the optimization objective function include at least: a controlled quantity constraint and a control quantity constraint; the controlled quantity constraint includes: a denitration system flue gas inlet temperature upper and lower limit constraint and an economizer outlet subcooling upper and lower limit constraint; the control quantity constraint includes: a hot water recirculation loop working medium flow constraint and an economizer bypass water flow constraint;
[0122] The optimization objective function is optimized by a rolling optimization method to obtain an optimized feedforward predictive control function, and the feedforward predictive control function is used as a feedforward predictive control model.
[0123] In one embodiment, the state space dynamic model is expressed by the formula: Among them, λ(k) represents the state variable of the hot water recirculation denitration system at time k, λ(k+1) represents the state variable of the hot water recirculation denitration system at time k+1; u(k) represents the input variable of the hot water recirculation denitration system at time k, and the input variable is characterized by the hot water recirculation bypass water flow and the economizer bypass pipeline water flow; y(k) represents the output variable of the hot water recirculation denitration system at time k, and the output variable is characterized by the hot water recirculation denitration system inlet flue gas temperature and economizer outlet subcooling; v(k) represents the feedforward disturbance signal at time k, which is characterized by the real-time boiler load and the water-cooled wall inlet temperature; A, B, C, and D all represent the characteristic matrix coefficients corresponding to the hot water recirculation system;
[0124] The predefined control increment is expressed as follows: Among them, Δλ(k+1) is expressed as the incremental form of the defined λ(k+1); Δu(k) is expressed as the incremental form of the defined u(k), and u(k-1) is expressed as the input variable of the hot water recycling denitrification system at time k-1; Δv(k) is expressed as the incremental form of the defined v(k), and v(k-1) is expressed as the feedforward disturbance signal at time k-1;
[0125] The incremental model is expressed by the formula: Wherein, Δλ(k+1) represents the incremental state variable of the hot water recirculation denitration system at time k+1; Δy(k) represents the incremental output variable of the hot water recirculation denitration system at time k, and the output variable is characterized by the inlet flue gas temperature of the hot water recirculation denitration system and the outlet subcooling degree of the economizer;
[0126] The augmented model is expressed as follows: In the formula, It is represented as the augmented state variable of the hot water recycling denitrification system at time k+1, and y(k) represents the augmented output variable of the hot water recycling denitrification system at time k; in, and They are respectively represented as the augmented coefficients of the characteristic matrix coefficients A, B, C, and D; O represents an all-zero matrix, and I represents an identity matrix; It is expressed as the augmented state variable of the hot water recirculation denitrification system at time k;
[0127] The relationship between the target output variable and the target state variable is expressed as follows: Where y(k+p) represents the output variable of the hot water recycling denitrification system at time k+p, p represents the prediction step length; ΔU represents the input increment sequence of the hot water recycling denitrification system, are respectively represented as matrix coefficients in the target output variable, where m is the control step size, p is the prediction step size, and i is the variable.
[0128] In one embodiment, the optimization objective function is expressed as follows:
[0129] J=(Y o -Y k ) T Q f (Y o -Y k )+ΔU T R f ΔU, where Y o represents the set value matrix of the controlled variable, which is characterized by the set value matrix of the flue gas inlet temperature of the denitrification system and the set value matrix of the subcooling degree at the economizer outlet; Y k It is represented as a sequence of output variables under the prediction step length, and the output variables are characterized by the inlet flue gas temperature of the hot water recirculation denitration system and the subcooling degree of the economizer outlet; ΔU is represented as a sequence of input increments of the hot water recirculation denitration system, and the input variables are characterized by the working medium flow rate of the hot water recirculation loop and the bypass water flow rate of the economizer; ΔU T Expressed as the transpose of ΔU, Q f represents the error weight matrix; R f is the control rights matrix;
[0130] The constraints of the optimization objective function are expressed as: Among them, Δu min and Δu max They are respectively represented by the minimum and maximum increments of the hot water recirculation bypass water flow and the economizer bypass water flow, respectively, u min and u max They are the minimum and maximum values of the hot water recirculation bypass water flow and economizer bypass water flow, respectively, and y min and max They respectively represent the minimum and maximum values corresponding to the inlet flue gas temperature of the hot water recirculation denitrification system and the economizer outlet subcooling.
[0131] In one embodiment, the control module 740 includes:
[0132] A disturbance signal determination unit, used for taking the boiler real-time load and the water-wall inlet temperature as feedforward disturbance signals of the feedforward predictive control model;
[0133] A control unit is used to take the hot water recirculation loop flow and the economizer bypass flow in the dry condition operation model or the wet condition operation model as input control quantities, and transmit them in the form of instructions to the feedforward predictive control model for rolling optimization of the input control quantities until the difference between the SCR inlet temperature set value corresponding to the hot water recirculation loop flow and the economizer outlet subcooling set value corresponding to the economizer bypass flow and the SCR inlet temperature and economizer outlet subcooling output by the feedforward predictive control model is within a preset range, thereby realizing coordinated control of the denitrification system inlet flue gas temperature and economizer outlet subcooling.
[0134] In one embodiment, the feedforward disturbance signal is expressed as: v = f(ν s ,Q r ), where ν s Expressed as the water wall inlet temperature disturbance, Q r is represented by the real-time boiler load disturbance, and f is represented by ν s With Q r The mapping relationship between them.
[0135] The feedforward predictive control device of the wide-load denitrification composite hot water recirculation system provided in the embodiment of the present invention can execute the feedforward predictive control method of the wide-load denitrification composite hot water recirculation system provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.
[0136] In one embodiment, Figure 8 A schematic diagram of the structure of an electronic device provided for implementing an embodiment of the present invention. The electronic device 10 is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.
[0137] like Figure 8As shown, the electronic device 10 includes at least one processor 11, and a memory connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 to the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.
[0138] A number of components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.
[0139] The processor 11 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, digital signal processors (DSPs), and any appropriate processors, controllers, microcontrollers, etc. The processor 11 executes the various methods and processes described above, such as the feedforward predictive control method for a wide load denitrification composite hot water recirculation system.
[0140] In some embodiments, the feedforward predictive control method of the wide-load denitrification composite hot water recirculation system may be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the feedforward predictive control method of the wide-load denitrification composite hot water recirculation system described above may be executed. Alternatively, in other embodiments, the processor 11 may be configured to execute the feedforward predictive control method of the wide-load denitrification composite hot water recirculation system by any other appropriate means (e.g., by means of firmware).
[0141] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.
[0142] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.
[0143] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in combination with an instruction execution system, device or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
[0144] To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).
[0145] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.
[0146] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.
[0147] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.
[0148] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims
1. A feedforward predictive control method for a wide load denitrification composite hot water recirculation system, characterized in that: The method comprises: Obtain the real-time boiler load of the selected supercritical unit and the critical load corresponding to the dry-wet switching condition; Determine the operating mode of the boiler according to the real-time load of the boiler and the critical load, so as to automatically switch the operating mode; wherein the operating mode includes: a dry operating mode and a wet operating mode; Determine the working medium flow direction in the economizer bypass pipeline and the hot water recirculation bypass pipeline in the composite hot water recirculation system under the operating mode to construct a corresponding operating model; Obtaining the water-cooled wall inlet temperature, and based on the real-time boiler load, the water-cooled wall inlet temperature, the economizer bypass pipe water flow rate and the hot water recirculation bypass water flow rate in the operating model, and a pre-built feedforward predictive control model, collaboratively controlling the inlet flue gas temperature of the composite hot water recirculation denitration system and the economizer outlet subcooling degree; Among them, the feedforward predictive control model is constructed by conducting a closed-loop simulation experiment based on the working medium flow direction in the economizer bypass pipe and the hot water recirculation bypass pipe corresponding to the operating model, and the water flow rate of the economizer bypass pipe and the hot water recirculation bypass pipe in the downward direction of the working medium.
2. The method according to claim 1, characterized in that The step of determining the operating mode of the boiler according to the real-time load of the boiler and the critical load to automatically switch the operating mode includes: When the real-time load of the boiler is less than the critical load, determining that the operating mode of the boiler is a wet operation mode, and automatically switching to wet operation; When the real-time load of the boiler is greater than or equal to the critical load, it is determined that the operating mode of the boiler is a dry operation mode, and the boiler is automatically switched to dry operation.
3. The method according to claim 1, characterized in that The determining of the working medium flow direction in the economizer bypass pipe and the hot water recirculation bypass pipe in the composite hot water recirculation system under the operating mode to construct a corresponding operating model includes: In the wet operation mode, the water flow of the economizer water bypass pipe is adjusted by the economizer bypass regulating valve, the hot water in the hot water recirculation bypass pipe flows out from the steam-water separator water storage tank and flows into the economizer inlet for recirculation, and the working medium flow direction in the wet operation mode forms a wet working condition operation model; In the case of the dry operation mode, the water flow in the economizer water bypass pipe is regulated by the economizer bypass regulating valve, and a dry circulation pipe is added between the economizer outlet pipe and the economizer inlet pipe, and a corresponding new economizer regulating valve is added to the dry circulation pipe. The working medium flow in the dry operation mode is regulated by the economizer bypass regulating valve and the new economizer regulating valve, and the working medium flow direction in the dry operation mode is composed of a dry working condition operation model.
4. The method according to claim 1, characterized in that The construction of the feedforward predictive control model further includes: According to the working medium flow directions in the economizer bypass pipe and the hot water recirculation bypass pipe respectively corresponding to the dry working condition operation model and the wet working condition operation model included in the working condition operation model, and the water flow rates of the economizer bypass pipe and the hot water recirculation bypass pipe in the downward direction of the working medium, a closed-loop simulation experiment is performed to obtain the closed-loop operation data of the hot water recirculation SCR denitrification system; Initialize the hot water recirculation SCR denitration system inlet flue gas temperature and economizer outlet subcooling, and build a feedforward predictive control model based on the hot water recirculation SCR denitration system inlet flue gas temperature, the economizer outlet subcooling and the closed-loop operation data.
5. The method according to claim 4, characterized in that The feedforward predictive control model is constructed based on the inlet flue gas temperature of the SCR denitration system, the outlet subcooling degree of the economizer and the closed-loop operation data, including: A state space dynamic model corresponding to the hot water recirculation system is obtained by using a subspace identification method and closed-loop operation data identification; Obtaining an incremental model corresponding to the hot water recirculation system according to a predefined control incremental formula and the state space dynamic model; Acquire characteristic matrix coefficients corresponding to the hot water recirculation system, and construct an augmented model corresponding to the hot water recirculation system according to the incremental model and the characteristic matrix coefficients; The prediction step length is set to p, the control step length is set to m, and the target state variable and the target output variable of the hot water recirculation SCR denitration system are derived using the augmented model; wherein the prediction step length is greater than the control step length; Constructing an optimization objective function of a target optimization problem based on the target state variable and the target output variable; The optimization objective function is optimized by a rolling optimization method to obtain an optimized feedforward predictive control function, and the feedforward predictive control function is used as a feedforward predictive control model.
6. The method according to claim 5, characterized in that The state space dynamic model is expressed by the formula: Among them, λ(k) represents the state variable of the hot water recirculation denitration system at time k, λ(k+1) represents the state variable of the hot water recirculation denitration system at time k+1; u(k) represents the input variable of the hot water recirculation denitration system at time k, and the input variable is characterized by the hot water recirculation bypass water flow and the economizer bypass pipeline water flow; y(k) represents the output variable of the hot water recirculation denitration system at time k, and the output variable is characterized by the hot water recirculation denitration system inlet flue gas temperature and economizer outlet subcooling; v(k) represents the feedforward disturbance signal at time k, which is characterized by the real-time boiler load and the water-cooled wall inlet temperature; A, B, C, and D all represent the characteristic matrix coefficients corresponding to the hot water recirculation system; The predefined control increment is expressed as follows: Among them, Δλ(k+1) is expressed as the incremental form of the defined λ(k+1); Δu(k) is expressed as the incremental form of the defined u(k), and u(k-1) is expressed as the input variable of the hot water recycling denitrification system at time k-1; Δv(k) is expressed as the incremental form of the defined v(k), and v(k-1) is expressed as the feedforward disturbance signal at time k-1; The incremental model is expressed by the formula: Wherein, Δλ(k+1) represents the incremental state variable of the hot water recirculation denitration system at time k+1; Δy(k) represents the incremental output variable of the hot water recirculation denitration system at time k, and the output variable is characterized by the inlet flue gas temperature of the hot water recirculation denitration system and the outlet subcooling degree of the economizer; The augmented model is expressed as follows: In the formula, It is represented as the augmented state variable of the hot water recycling denitrification system at time k+1, and y(k) represents the augmented output variable of the hot water recycling denitrification system at time k; in, and They are respectively represented as the augmented coefficients of the characteristic matrix coefficients A, B, C, and D; O represents an all-zero matrix, and I represents an identity matrix; It is expressed as the augmented state variable of the hot water recirculation denitrification system at time k; The relationship between the target output variable and the target state variable is expressed as follows: Where y(k+p) represents the output variable of the hot water recycling denitrification system at time k+p, p represents the prediction step length; ΔU represents the input increment sequence of the hot water recycling denitrification system, are respectively represented as matrix coefficients in the target output variable, where m is the control step size, p is the prediction step size, and i is the variable.
7. The method according to claim 5, characterized in that The optimization objective function aims to minimize the error between the SCR denitration system inlet temperature setting value and the economizer outlet subcooling setting value and the SCR inlet temperature and economizer outlet subcooling output by the feedforward prediction controller model respectively; The constraints corresponding to the optimization objective function include at least: controlled quantity constraints and control quantity constraints; the controlled quantity constraints include: upper and lower limit constraints on the flue gas inlet temperature of the denitrification system and upper and lower limit constraints on the economizer outlet subcooling degree; the control quantity constraints include: hot water recirculation loop working fluid flow constraints and economizer bypass water flow constraints.
8. The method according to claim 5, characterized in that The optimization objective function is expressed as follows: o -Y k ) T Q f (Y o -Y k )+ΔU T R f ΔU, where Y o represents the set value matrix of the controlled variable, which is characterized by the set value matrix of the flue gas inlet temperature of the denitrification system and the set value matrix of the subcooling degree at the economizer outlet; Y k It is represented as a sequence of output variables under the prediction step length, and the output variables are characterized by the inlet flue gas temperature of the hot water recirculation denitrification system and the subcooling degree of the economizer outlet; ΔU represents a sequence of input increments of the hot water recirculation denitrification system, wherein the input variables are characterized by the hot water recirculation loop working medium flow rate and the economizer bypass water flow rate; ΔU T Expressed as the transpose of ΔU, Q f represents the error weight matrix; R f is the control rights matrix; The constraints of the optimization objective function are expressed as: Among them, Δu min and Δu max They are respectively represented by the minimum and maximum increments of the hot water recirculation bypass water flow and the economizer bypass water flow, respectively, u min and u max They are the minimum and maximum values of the hot water recirculation bypass water flow and economizer bypass water flow, respectively, and y min and max They respectively represent the minimum and maximum values corresponding to the inlet flue gas temperature of the hot water recirculation denitrification system and the economizer outlet subcooling.
9. The method according to claim 1, characterized in that The working condition operation model includes a dry working condition operation model and a wet working condition operation model; Accordingly, the inlet flue gas temperature of the composite hot water recirculation denitration system and the economizer outlet subcooling degree are collaboratively controlled based on the real-time boiler load, the water wall inlet temperature, the economizer bypass pipe water flow rate and the hot water recirculation bypass water flow rate in the operating model, and the pre-built feedforward predictive control model, including: Using the boiler real-time load and the water-cooled wall inlet temperature as feedforward disturbance signals of the feedforward predictive control model; The hot water recirculation loop flow and economizer bypass flow in the dry condition operation model or the wet condition operation model are used as input control quantities and transmitted to the feedforward predictive control model in the form of instructions for rolling optimization of the input control quantities until the SCR inlet temperature set value corresponding to the hot water recirculation loop flow and the economizer outlet subcooling set value corresponding to the economizer bypass flow are within a preset range with the difference between the SCR inlet temperature and the economizer outlet subcooling output by the feedforward predictive control model, thereby achieving coordinated control of the denitrification system inlet flue gas temperature and economizer outlet subcooling.
10. The method according to claim 9, characterized in that The feedforward disturbance signal is expressed as: v = f(ν s ,Q r ), where ν s Expressed as the water wall inlet temperature disturbance, Q r is represented by the real-time boiler load disturbance, and f is represented by ν s With Q r The mapping relationship between them.
11. A feedforward predictive control device for a wide load denitrification composite hot water recirculation system, characterized in that: The device comprises: An information acquisition module is used to obtain the real-time boiler load of the selected supercritical unit and the critical load corresponding to the dry-wet switching condition; An operating condition determination module, used to determine the operating condition mode of the boiler according to the real-time load of the boiler and the critical load, so as to automatically switch the operating condition mode; wherein the operating condition mode includes: a dry operating mode and a wet operating mode; An operation model building module, used to determine the working medium flow direction in the economizer bypass pipeline and the hot water recirculation bypass pipeline in the composite hot water recirculation system under the operation mode, so as to build a corresponding operation model; A control module, for obtaining the water wall inlet temperature, and collaboratively controlling the inlet flue gas temperature of the composite hot water recirculation denitration system and the economizer outlet subcooling degree based on the real-time boiler load, the water wall inlet temperature, the economizer bypass pipe water flow rate and the hot water recirculation bypass water flow rate in the operating model, and a pre-built feedforward predictive control model; Among them, the feedforward predictive control model is constructed by conducting a closed-loop simulation experiment based on the working medium flow direction in the economizer bypass pipe and the hot water recirculation bypass pipe corresponding to the operating model, and the water flow rate of the economizer bypass pipe and the hot water recirculation bypass pipe in the downward direction of the working medium.
12. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the feedforward predictive control method of the wide-load denitrification composite hot water recycling system described in any one of claims 1-10.
13. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the feedforward predictive control method for a wide-load denitration composite hot water recycling system according to any one of claims 1 to 10 when executed.
14. A computer program product, characterized in that The computer program product comprises a computer program, which, when executed by a processor, implements the feedforward predictive control method for a wide-load denitration composite hot water recycling system according to any one of claims 1 to 10.
Citation Information
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