A method for optimizing the benefits of combined heat and power units

Abstract

The present invention discloses a method for optimizing the benefits of a cogeneration unit, comprising the following steps: S1, using a 600MW unit to perform a cylinder-cutting heating transformation, and then using a fully sealable hydraulic butterfly valve to cut off the steam inlet from the original steam inlet pipe of the low-pressure cylinder; S2, adding an online monitoring system to perform safety monitoring of the blade operating status, with a monitoring interval of 5-10 minutes. The present invention transforms the cogeneration system by using the 600MW unit cylinder-cutting heating technology, then simulates and models the long-distance heating process of the unit, and then uses an intelligent energy consumption calculation platform to analyze the characteristics of the cogeneration energy consumption. Then, based on the unit's energy-saving heat and power coordinated system, it calculates and optimizes the control scheme. Then, the intelligent heat and power coordinated control system of the thermal power unit automatically controls the unit throughout the entire process according to the calculation results, thereby saving energy consumed by the unit during operation and improving production benefits.

Description

Technical field:

[0001] The present invention relates to the technical field of cogeneration, and in particular to a method for optimizing the benefits of a cogeneration unit. Background technology:

[0002] Combined heat and power (CHP) is the simultaneous generation of electricity and useful heat from a heat engine or power station. This is a thermodynamically efficient use of fuels. In electricity production alone, some of the energy must be discarded as waste heat, but in CHP, some of this heat is put to use. All CHP plants emit heat during power generation, which can be released into the environment via cooling towers, flue gases, or other means. In contrast, CHP captures some or all of the byproducts for heating, or very close to the plant, as hot water for heating residential areas, with temperatures ranging from approximately 80 to 130°C.

[0003] Traditional cogeneration has developed to a certain scale, but it is far from meeting actual needs. When the cogeneration unit is in use, it is usually impossible to quickly and effectively analyze the energy consumption of the combined heat and power of the thermal power unit, which leads to the inability to perform intelligent heat and power coordinated control of the thermal power unit, affecting the energy consumption of the cogeneration unit in operation and reducing production benefits. Therefore, a profit optimization method for cogeneration units is proposed. Summary of the invention:

[0004] The object of the present invention is to provide a method for optimizing the revenue of a combined heat and power unit to solve the problems raised in the above background technology.

[0005] The present invention is implemented by the following technical solution: a method for optimizing the benefits of a cogeneration unit, comprising the following steps:

[0006] S1. Use the 600MW unit to carry out cylinder cutting heating transformation, and then use a fully sealed hydraulic butterfly valve to cut off the steam inlet pipe of the low-pressure cylinder;

[0007] S2. Add an online monitoring system to monitor the blade operation status for safety, with a monitoring interval of 5-10 minutes;

[0008] S3. Based on the mechanism equation, design data and field test data, determine the basic structure of the mathematical model of the working fluid flow and key equipment of the 600MW cogeneration unit;

[0009] S4. Combine the real-time data of the units and historical data within 5-10 days to build an intelligent energy consumption calculation platform for thermal power units suitable for combined heat and power generation, and develop a visualization platform for energy consumption analysis of combined heat and power units;

[0010] S5. Based on the heat storage capacity of long-distance pipelines and the hysteresis of heat supply, estimate the impact of transient performance changes of long-distance heat supply on heat supply quality, and establish a mechanism model for the combined heat and power system of thermal power units;

[0011] S6. Construct a coordinated control scheme for the combined heat and power system with a predictive control or adaptive control structure, introduce an identification model, and use historical data within 5-10 days to establish a data-driven model;

[0012] S7. Establish a dynamic link library to package the control platform, build application software to realize system control indicators, control effects and operating status, and form a fully intelligent heat and power coordinated control system for thermal power units.

[0013] As a further preferred embodiment of the present technical solution: in said S1, a small amount of cooling steam is introduced through a newly added bypass pipe to remove the blast heat generated by the rotation of the low-pressure rotor after the steam inlet to the low-pressure cylinder is cut off.

[0014] As a further preferred embodiment of the present technical solution: in said S2, the online monitoring system monitors blade flutter, water erosion, dynamic and static clearance changes, and the blade health monitoring system monitors blade amplitude, clearance, and blade metal temperature in real time to avoid overheating of the last-stage blades and causing operational risks.

[0015] As a further preferred embodiment of the present technical solution: in said S3, data mining and cluster analysis are carried out on the historical and real-time operating conditions of the unit, the variable operating condition curves of each model component are determined based on the historical operating data, the variable operating condition curves are adaptively corrected using the real-time operating data, and a simulation model of the long-distance heating process of the 600MW cogeneration unit is established as the basis for subsequent thermal and electrical decoupling and the characteristics of different heating modes.

[0016] As a further preferred embodiment of the present technical solution: in said S4, simulation research is carried out on an intelligent energy consumption calculation platform to obtain soft measurement data, thereby providing technical support for the research on the coordinated control strategy of cogeneration.

[0017] As a further preferred embodiment of the present technical solution: in said S5, a mechanism model of the combined heat and power system of the thermal power unit is established, a matching decoupling scheme is determined, and the decoupling characteristics of the combined heat and power system are evaluated with the minimum electric load and the maximum heat supply capacity as evaluation indicators.

[0018] As a further optimization of the present technical solution: in said S6, based on the external heat and electricity load conditions, and under the premise of ensuring the thermal and electrical quality, the automatic optimization control scheme for energy saving of the unit is explored to obtain the heat distribution adjustment rules and the operation schemes for each heater respectively.

[0019] As a further preferred embodiment of the present technical solution: in said S7, by configuring the thermoelectric collaborative automatic optimal control scheme, carrying out the operation scheme under the thermoelectric disturbance conditions, determining the optimal control parameters of the collaborative control system, and verifying the heating and energy-saving effects of the unit.

[0020] Advantages of the present invention: The present invention transforms the cogeneration system by using the 600MW unit cylinder cutting heating technology, then simulates and models the long-distance heating process of the unit, then analyzes the characteristics of the cogeneration energy consumption through an intelligent energy consumption calculation platform, and then calculates the optimal control solution based on the unit's energy-saving heat and power coordinated system. Then, the unit is automatically controlled throughout the process according to the calculation results through the intelligent heat and power coordinated control system of the thermal power unit, thereby saving the energy consumed by the unit during operation and improving production benefits. Description of the drawings:

[0021] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. 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 paying any creative work.

[0022] Figure 1 It is a flow chart of the steps of the present invention. Specific implementation method:

[0023] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making creative efforts are within the scope of protection of the present invention.

[0024] Example 1

[0025] See also Figure 1 The present invention provides a technical solution: a method for optimizing the benefits of a combined heat and power unit, comprising the following steps:

[0026] S1. Use the 600MW unit to carry out cylinder cutting heating transformation, and then use a fully sealed hydraulic butterfly valve to cut off the steam inlet pipe of the low-pressure cylinder;

[0027] S2. Add an online monitoring system to monitor the blade operation status for safety, with a monitoring interval of 5 minutes;

[0028] S3. Based on the mechanism equation, design data and field test data, determine the basic structure of the mathematical model of the working fluid flow and key equipment of the 600MW cogeneration unit;

[0029] S4. Combine the real-time data of the units and the historical data within 5 days to build an intelligent energy consumption calculation platform for thermal power units suitable for combined heat and power generation, and develop an energy consumption analysis and visualization platform for combined heat and power units;

[0030] S5. Based on the heat storage capacity of long-distance pipelines and the hysteresis of heat supply, estimate the impact of transient performance changes of long-distance heat supply on heat supply quality, and establish a mechanism model for the combined heat and power system of thermal power units;

[0031] S6. Construct a coordinated control scheme for the combined heat and power system with a predictive control or adaptive control structure, introduce an identification model, and use historical data within 5 days to establish a data-driven model;

[0032] S7. Establish a dynamic link library to package the control platform, build application software to realize system control indicators, control effects and operating status, and form a fully intelligent heat and power coordinated control system for thermal power units.

[0033] In this embodiment, specifically: in S1, a small amount of cooling steam is introduced through a newly added bypass pipe to take away the blast heat generated by the rotation of the low-pressure rotor after the steam intake of the low-pressure cylinder is cut off; the blast heat generated by the rotation of the low-pressure rotor after the steam intake of the high-pressure cylinder is driven by the newly added bypass pipe is avoided, thereby avoiding the blast heating caused by the negative work done by the last few stages of blades of the low-pressure cylinder, which causes the exhaust steam temperature to rise rapidly, and the unit should try to avoid high exhaust steam temperature to reduce the possibility of friction between the rotor and stator components due to thermal deformation or excessive differential expansion.

[0034] In this embodiment, specifically: in S2, the online monitoring system avoids the operation risk caused by overheating of the last-stage blades by monitoring blade flutter, water erosion, changes in dynamic and static clearances, and the blade health monitoring system monitors the blade amplitude, clearance, and blade metal temperature in real time; the online monitoring system monitors the blade dynamic stress in real time, thereby reducing the operation risk of the last-stage blades.

[0035] In this embodiment, specifically: in S3, data mining and cluster analysis are carried out on the historical and real-time operating conditions of the unit, and the variable operating condition curves of each model component are determined based on the historical operating data. The variable operating condition curves are adaptively corrected using the real-time operating data, and a simulation model of the long-distance heating process of the 600MW cogeneration unit is established as the basis for subsequent thermal and electrical decoupling and different heating mode characteristics; through the simulation model of the long-distance heating process of the 600MW cogeneration unit, data support is provided for subsequent thermal and electrical decoupling and different heating mode characteristics.

[0036] In this embodiment, specifically: in S4, a simulation study is carried out on the intelligent energy consumption calculation platform to obtain soft measurement data to provide technical support for the research on the coordinated control strategy of cogeneration; the data is displayed through the intelligent energy consumption calculation platform so that staff can view the data.

[0037] In this embodiment, specifically: in S5, a mechanism model of the combined heat and power system of the thermal power unit is established, a matching decoupling scheme is determined, and the decoupling characteristics of the combined heat and power system are carried out with the minimum electric load and the maximum heat supply capacity expansion capability as evaluation indicators; the matching decoupling scheme is determined by the heat storage capacity of the combined heat and power system of the thermal power unit through the long-distance pipeline and the hysteresis of the heat supply.

[0038] In this embodiment, specifically: in S6, based on the external heat and electricity load conditions, and under the premise of ensuring the quality of thermal power, the unit energy-saving automatic optimization control scheme is explored to obtain the heat distribution adjustment rules and the operation schemes of each heater respectively; through the data-driven model, the optimal operation scheme is simulated based on historical data.

[0039] In this embodiment, specifically: in S7, by configuring the automatic optimal control scheme of thermal and power coordination, carrying out the operation scheme under the conditions of thermal and power disturbance, determining the optimal control parameters of the coordinated control system, and verifying the heating and energy-saving effects of the unit; through simulation modeling, the results of the operation scheme are simulated and calculated, thereby verifying the heating and energy-saving effects of the cogeneration unit.

[0040] Example 2

[0041] See also Figure 1 The present invention provides a technical solution: a method for optimizing the benefits of a combined heat and power unit, comprising the following steps:

[0042] S1. Use the 600MW unit to carry out cylinder cutting heating transformation, and then use a fully sealed hydraulic butterfly valve to cut off the steam inlet pipe of the low-pressure cylinder;

[0043] S2. Add an online monitoring system to monitor the blade operation status for safety, with a monitoring interval of 10 minutes;

[0044] S3. Based on the mechanism equation, design data and field test data, determine the basic structure of the mathematical model of the working fluid flow and key equipment of the 600MW cogeneration unit;

[0045] S4. Combine the real-time data of the units and historical data within 10 days to build an intelligent energy consumption calculation platform for thermal power units suitable for combined heat and power generation, and develop a visualization platform for energy consumption analysis of combined heat and power units;

[0046] S5. Based on the heat storage capacity of long-distance pipelines and the hysteresis of heat supply, estimate the impact of transient performance changes of long-distance heat supply on heat supply quality, and establish a mechanism model for the combined heat and power system of thermal power units;

[0047] S6. Construct a coordinated control scheme for the combined heat and power system with a predictive control or adaptive control structure, introduce an identification model, and use historical data within 10 days to establish a data-driven model;

[0048] S7. Establish a dynamic link library to package the control platform, build application software to realize system control indicators, control effects and operating status, and form a fully intelligent heat and power coordinated control system for thermal power units.

[0049] In this embodiment, specifically: in S1, a small amount of cooling steam is introduced through a newly added bypass pipe to take away the blast heat generated by the rotation of the low-pressure rotor after the steam intake of the low-pressure cylinder is cut off; the blast heat generated by the rotation of the low-pressure rotor after the steam intake of the high-pressure cylinder is driven by the newly added bypass pipe is avoided, thereby avoiding the blast heating caused by the negative work done by the last few stages of blades of the low-pressure cylinder, which causes the exhaust steam temperature to rise rapidly, and the unit should try to avoid high exhaust steam temperature to reduce the possibility of friction between the rotor and stator components due to thermal deformation or excessive differential expansion.

[0050] In this embodiment, specifically: in S2, the online monitoring system avoids the operation risk caused by overheating of the last-stage blades by monitoring blade flutter, water erosion, changes in dynamic and static clearances, and the blade health monitoring system monitors the blade amplitude, clearance, and blade metal temperature in real time; the online monitoring system monitors the blade dynamic stress in real time, thereby reducing the operation risk of the last-stage blades.

[0051] In this embodiment, specifically: in S3, data mining and cluster analysis are carried out on the historical and real-time operating conditions of the unit, and the variable operating condition curves of each model component are determined based on the historical operating data. The variable operating condition curves are adaptively corrected using the real-time operating data, and a simulation model of the long-distance heating process of the 600MW cogeneration unit is established as the basis for subsequent thermal and electrical decoupling and different heating mode characteristics; through the simulation model of the long-distance heating process of the 600MW cogeneration unit, data support is provided for subsequent thermal and electrical decoupling and different heating mode characteristics.

[0052] In this embodiment, specifically: in S4, a simulation study is carried out on the intelligent energy consumption calculation platform to obtain soft measurement data to provide technical support for the research on the coordinated control strategy of cogeneration; the data is displayed through the intelligent energy consumption calculation platform so that staff can view the data.

[0053] In this embodiment, specifically: in S5, a mechanism model of the combined heat and power system of the thermal power unit is established, a matching decoupling scheme is determined, and the decoupling characteristics of the combined heat and power system are carried out with the minimum electric load and the maximum heat supply capacity expansion capability as evaluation indicators; the matching decoupling scheme is determined by the heat storage capacity of the combined heat and power system of the thermal power unit through the long-distance pipeline and the hysteresis of the heat supply.

[0054] In this embodiment, specifically: in S6, based on the external heat and electricity load conditions, and under the premise of ensuring the quality of thermal power, the unit energy-saving automatic optimization control scheme is explored to obtain the heat distribution adjustment rules and the operation schemes of each heater respectively; through the data-driven model, the optimal operation scheme is simulated based on historical data.

[0055] In this embodiment, specifically: in S7, by configuring the automatic optimal control scheme of thermal and power coordination, carrying out the operation scheme under the conditions of thermal and power disturbance, determining the optimal control parameters of the coordinated control system, and verifying the heating and energy-saving effects of the unit; through simulation modeling, the results of the operation scheme are simulated and calculated, thereby verifying the heating and energy-saving effects of the cogeneration unit.

[0056] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for optimizing the benefits of a combined heat and power unit, wherein: The steps include: S1. Use the 600MW unit to carry out cylinder cutting heating transformation, and then use a fully sealed hydraulic butterfly valve to cut off the steam inlet pipe of the low-pressure cylinder; S2. Add an online monitoring system to monitor the blade operation status for safety, with a monitoring interval of 5-10 minutes; S3. Based on the mechanism equation, design data and field test data, determine the basic structure of the mathematical model of the working fluid flow and key equipment of the 600MW cogeneration unit; S4. Combine the real-time data of the units and historical data within 5-10 days to build an intelligent energy consumption calculation platform for thermal power units suitable for combined heat and power generation, and develop a visualization platform for energy consumption analysis of combined heat and power units; S5. Based on the heat storage capacity of long-distance pipelines and the hysteresis of heat supply, estimate the impact of transient performance changes of long-distance heat supply on heat supply quality, and establish a mechanism model for the combined heat and power system of thermal power units; S6. Construct a coordinated control scheme for the combined heat and power system with a predictive control or adaptive control structure, introduce an identification model, and establish a data-driven model using historical data within 5-10 days. In S6, based on external heat and power load conditions and while ensuring thermal power quality, explore an automatic optimal control scheme for energy saving of the units, and obtain a heat distribution adjustment rule and a start-up and shutdown operation scheme for each heater. S7. Establish a dynamic link library to package the control platform, build application software to realize system control indicators, control effects and operating status, and form a fully intelligent heat and power coordinated control system for the thermal power unit; in the above S7, by configuring the heat and power coordinated automatic optimal control scheme, carry out the operation scheme under the conditions of thermoelectric disturbance, determine the optimal control parameters of the coordinated control system, and verify the heating and energy-saving effects of the unit.

2. The method for optimizing the revenue of a combined heat and power unit according to claim 1, characterized in that: In S1, a small amount of cooling steam is introduced through a newly added bypass pipe to remove the blast heat generated by the rotation of the low-pressure rotor after the steam inlet to the low-pressure cylinder is cut off.

3. The method for optimizing the revenue of a combined heat and power unit according to claim 1, characterized in that: In S2, the online monitoring system monitors blade flutter, water erosion, dynamic and static clearance changes, and the blade health monitoring system monitors blade amplitude, clearance, and blade metal temperature in real time to avoid overheating of the last-stage blades and the resulting operational risks.

4. The method for optimizing the revenue of a combined heat and power unit according to claim 1, wherein: In S3, data mining and cluster analysis are carried out on the historical and real-time operating conditions of the unit. The variable operating condition curves of each model component are determined based on the historical operating data. The variable operating condition curves are adaptively corrected using the real-time operating data. A simulation model of the long-distance heating process of the 600MW cogeneration unit is established, which serves as the basis for subsequent thermal and electrical decoupling and the characteristics of different heating modes.

5. The method for optimizing the revenue of a combined heat and power unit according to claim 1, characterized in that: In S4, simulation research is carried out on an intelligent energy consumption calculation platform to obtain soft measurement data, providing technical support for the research on the coordinated control strategy of cogeneration.

6. The method for optimizing the revenue of a combined heat and power unit according to claim 1, characterized in that: In S5, a mechanism model of the combined heat and power system of the thermal power unit is established, a matching decoupling scheme is determined, and the decoupling characteristics of the combined heat and power system are evaluated using the minimum electric load and the maximum heat supply capacity as evaluation indicators.

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