CN114580304A - Income optimizing method for cogeneration unit - Google Patents
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Abstract
The invention discloses an optimized income method for a cogeneration unit, which comprises the following steps: s1, performing cylinder cutting heat supply transformation by using a 600MW unit, and then cutting off steam inlet of an original steam inlet pipeline of the low-pressure cylinder by using a hydraulic butterfly valve which can be completely sealed; and S2, adding an online monitoring system to perform safety monitoring work on the running state of the blade, wherein the monitoring interval is 5-10 min. According to the invention, a 600MW unit cylinder cutting heat supply technology is used for transforming a cogeneration system, then a simulation modeling is carried out on the long-distance heat supply process of the unit, then the characteristic analysis is carried out on the cogeneration energy consumption through an intelligent energy consumption computing platform, then an optimization searching control scheme is calculated based on a heat and power cooperative system for unit energy saving, and then the unit is automatically controlled in the whole process according to the calculation result through the intelligent heat and power cooperative control system of the thermal power unit, so that the energy consumed by the unit in the operation process is saved, and the production benefit is improved.
Description
The technical field is as follows:
the invention relates to the technical field of cogeneration, in particular to a profit optimizing method for a cogeneration unit.
The background art comprises the following steps:
cogeneration is the simultaneous production of electricity and useful heat using heat engines or power stations, cogeneration being a thermodynamically efficient use of fuel, some of the energy must be discarded as waste heat in the production of electricity alone, but some of this heat energy is put into use in cogeneration. The heat emitted by all thermal power plants during power generation can be released to the environment through cooling towers, flue gases or by other means. In contrast, cogeneration captures some or all of the by-products for heating, or very close to the plant, as hot water for heating of living areas, at temperatures ranging from about 80 to 130 ℃;
the traditional cogeneration development has a certain scale, but the actual demand can not be met, and when the cogeneration unit is used, the cogeneration energy consumption of the thermal power unit can not be rapidly and effectively analyzed, so that intelligent cogeneration cooperative control on the thermal power unit can not be performed, the energy consumption of the cogeneration unit in operation is influenced, and the production yield is reduced.
The invention content is as follows:
the present invention aims to provide an optimized revenue method for a cogeneration unit to solve the problems set forth in the background art.
The invention is implemented by the following technical scheme: an optimized revenue method for a cogeneration unit, comprising the steps of:
s1, performing cylinder cutting heat supply transformation by using a 600MW unit, and then cutting off the steam inlet of the original steam inlet pipeline of the low-pressure cylinder by using a hydraulic butterfly valve which can be completely sealed;
s2, adding an online monitoring system to perform safety monitoring work on the running state of the blade, wherein the monitoring interval is 5-10 min;
s3, determining a basic structure of a mathematical model of a working medium flow and key equipment of the 600MW cogeneration unit based on a mechanism equation, design data and field test data;
s4, constructing an intelligent energy consumption calculation platform of the thermal power generating unit suitable for cogeneration by combining the real-time data of the unit and the historical data within 5-10 days, and developing an energy consumption analysis visualization platform of the cogeneration unit;
s5, according to the heat storage capacity and the heat supply hysteresis of the long-distance pipeline, estimating the influence rule of the transient performance change of the long-distance heat supply on the heat supply quality, and establishing a mechanism model of the cogeneration system of the thermal power unit;
s6, constructing a coordinated control scheme of the combined heat and power system with a predictive control or self-adaptive control structure, introducing an identification model, and establishing a data driving model by adopting historical data within 5-10 days;
and S7, establishing a dynamic link library for packaging a control platform, and establishing application software to realize system control indexes, control effects and running states to form the full-intelligent thermoelectric cooperative control system of the thermal power generating unit.
As further preferable in the present technical solution: in the step S1, a small amount of cooling steam is introduced through a newly-added bypass pipeline and is used for taking away blast heat generated by rotation of the low-pressure rotor after the low-pressure cylinder is cut off and steam is introduced.
As further preferable in the present technical solution: in the step S2, the online monitoring system monitors the blade amplitude, the gap and the blade metal temperature in real time by monitoring the blade flutter, the water erosion, the dynamic and static gap change and the blade health monitoring system, so that the operation risk caused by the overheating of the last-stage blade is avoided.
As further preferable in the present technical solution: in the step S3, data mining and cluster analysis are performed on the historical operating conditions and the real-time operating conditions of the unit, variable condition curves of the model assemblies are determined based on the historical operating data, the variable condition curves are adaptively corrected by using the real-time operating data, and a simulation model of the long-distance heat supply process of the 600MW cogeneration unit is established as a basis for subsequent thermoelectric decoupling and different heat supply mode characteristics.
As further preferable in the present technical solution: in the step S4, simulation research is performed on the intelligent energy consumption computing platform to obtain soft measurement data, thereby providing technical support for research on the cogeneration cooperative control strategy.
As further preferable in the present technical solution: in the step S5, a mechanism model of the cogeneration system of the thermal power unit is established, a matching decoupling scheme is determined, and the decoupling characteristic of the cogeneration system is developed by taking the lowest electric load and the maximum heat supply capacity increasing capacity as evaluation indexes.
As further preferable in the present technical solution: in the step S6, on the premise of ensuring the thermoelectric quality according to the external thermal and electrical load conditions, an energy-saving automatic optimization control scheme of the unit is explored to respectively obtain a heat supply distribution adjustment rule and an operation scheme of each heater on/off.
As further preferable in the present technical solution: in the step S7, by performing configuration of the thermoelectric cooperative automatic optimization control scheme, an operation scheme under a thermoelectric disturbance condition is developed, an optimal control parameter of the cooperative control system is determined, and heat supply and energy saving effects of the unit are verified.
The invention has the advantages that: according to the invention, a 600MW unit cylinder cutting heat supply technology is used for transforming a cogeneration system, then a simulation modeling is carried out on the long-distance heat supply process of the unit, then the characteristic analysis is carried out on the cogeneration energy consumption through an intelligent energy consumption computing platform, then an optimization searching control scheme is calculated based on a heat and power cooperative system for unit energy saving, and then the unit is automatically controlled in the whole process according to the calculation result through the intelligent heat and power cooperative control system of the thermal power unit, so that the energy consumed by the unit in the operation process is saved, and the production benefit is improved.
Description of the drawings:
in order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the prior art descriptions will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a flow chart of the steps of the present invention.
The specific implementation mode is as follows:
the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example one
Referring to fig. 1, the present invention provides a technical solution: an optimized revenue method for a cogeneration unit, comprising the steps of:
s1, performing cylinder cutting heat supply transformation by using a 600MW unit, and then cutting off steam inlet of an original steam inlet pipeline of the low-pressure cylinder by using a hydraulic butterfly valve which can be completely sealed;
s2, adding an online monitoring system to perform safety monitoring work on the running state of the blade, wherein the monitoring interval is 5 min;
s3, determining a basic structure of a mathematical model of a working medium flow and key equipment of the 600MW cogeneration unit based on a mechanism equation, design data and field test data;
s4, establishing an intelligent energy consumption calculation platform of the thermal power generating unit suitable for cogeneration by combining the real-time data of the unit and the historical data within 5 days, and developing an energy consumption analysis visualization platform of the cogeneration unit;
s5, according to the heat storage capacity and the heat supply hysteresis of the long-distance pipeline, estimating the influence rule of the transient performance change of the long-distance heat supply on the heat supply quality, and establishing a mechanism model of the cogeneration system of the thermal power unit;
s6, constructing a coordinated control scheme of the combined heat and power system with a predictive control or self-adaptive control structure, introducing an identification model, and establishing a data driving model by adopting historical data within 5 days;
and S7, establishing a dynamic link library to package the control platform, and establishing application software to realize system control indexes, control effects and running states to form the full-intelligent thermoelectric cooperative control system of the thermal power unit.
In this embodiment, specifically: in S1, a small amount of cooling steam is introduced through a newly-added bypass pipeline and is used for taking away blast heat generated by the rotation of the low-pressure rotor after the steam entering the low-pressure cylinder is cut off; the air blast heat generated by the rotation of the low-pressure rotor after the steam enters the pressure cylinder is driven by the newly added bypass pipeline, the problem that the air blast is heated due to the negative work of the last stages of blades of the low-pressure cylinder is avoided, the exhaust steam temperature is rapidly increased, and the unit needs to avoid the high exhaust steam temperature as much as possible, so that the possibility of friction between the rotor and the stator component due to thermal deformation or excessive differential expansion is reduced.
In this embodiment, specifically: in S2, the online monitoring system monitors blade vibration, water erosion, dynamic and static clearance change and blade health monitoring system to monitor blade amplitude, clearance and blade metal temperature in real time, so as to avoid operation risk caused by overheating of the last stage blade; the dynamic stress of the blade is monitored in real time through the online monitoring system, and the risk of operation of the last-stage blade is reduced.
In this embodiment, specifically: in S3, carrying out data mining and cluster analysis on historical operating conditions and real-time operating conditions of the unit, determining variable operating condition curves of each model assembly by taking historical operating data as a basis, carrying out self-adaptive correction on the variable operating condition curves by using the real-time operating data, and establishing a 600MW cogeneration unit long-distance heat supply process simulation model as a basis for subsequent thermoelectric decoupling and different heat supply mode characteristics; through the long-distance heat supply process simulation model of the 600MW cogeneration unit, data support is provided for subsequent thermoelectric decoupling and different heat supply mode characteristics.
In this embodiment, specifically: in S4, carrying out simulation research on an intelligent energy consumption computing platform to obtain soft measurement data, and providing technical support for research of a cogeneration cooperative control strategy; and displaying the data through an intelligent energy consumption computing platform so that a worker can check the data conveniently.
In this embodiment, specifically: in S5, establishing a mechanism model of the cogeneration system of the thermal power generating unit, determining a matched decoupling scheme, and developing the decoupling characteristic of the cogeneration system by taking the lowest electric load and the maximum heat supply capacity increasing capacity as evaluation indexes; and determining a matched decoupling scheme through the heat storage capacity and the heat supply hysteresis of the long-distance pipeline of the combined heat and power system of the thermal power generating unit.
In this embodiment, specifically: in S6, according to external thermal and electrical load conditions, on the premise of guaranteeing the thermoelectric quality, exploring a unit energy-saving automatic optimization control scheme to respectively obtain a heat supply distribution adjustment rule and each heater on-off operation scheme; and performing simulation operation on the optimal operation scheme according to the historical data through the data driving model.
In this embodiment, specifically: in the S7, an operation scheme under a thermoelectric disturbance condition is developed by carrying out configuration of a thermoelectric cooperation automatic optimization searching control scheme, optimal control parameters of a cooperation control system are determined, and heat supply and energy saving effects of a unit are verified; and performing simulation operation on the result of the operation scheme through simulation modeling, thereby verifying the heat supply and energy saving effects of the cogeneration unit.
Example two
Referring to fig. 1, the present invention provides a technical solution: an optimized revenue method for a cogeneration unit, comprising the steps of:
s1, performing cylinder cutting heat supply transformation by using a 600MW unit, and then cutting off steam inlet of an original steam inlet pipeline of the low-pressure cylinder by using a hydraulic butterfly valve which can be completely sealed;
s2, adding an online monitoring system to perform safety monitoring work on the running state of the blade, wherein the monitoring interval is 10 min;
s3, determining a basic structure of a mathematical model of a working medium flow and key equipment of the 600MW cogeneration unit based on a mechanism equation, design data and field test data;
s4, establishing an intelligent energy consumption calculation platform of the thermal power generating unit suitable for cogeneration by combining the real-time data of the unit and the historical data within 10 days, and developing an energy consumption analysis visualization platform of the cogeneration unit;
s5, according to the heat storage capacity and the heat supply hysteresis of the long-distance pipeline, estimating the influence rule of the transient performance change of the long-distance heat supply on the heat supply quality, and establishing a mechanism model of the cogeneration system of the thermal power unit;
s6, constructing a coordinated control scheme of the combined heat and power system with a predictive control or self-adaptive control structure, introducing an identification model, and establishing a data driving model by adopting historical data within 10 days;
and S7, establishing a dynamic link library to package the control platform, and establishing application software to realize system control indexes, control effects and running states to form the full-intelligent thermoelectric cooperative control system of the thermal power unit.
In this embodiment, specifically: in S1, a small amount of cooling steam is introduced through a newly-added bypass pipeline and is used for taking away blast heat generated by rotation of the low-pressure rotor after the low-pressure cylinder is cut off and steam is introduced; the air blast heat generated by the rotation of the low-pressure rotor after the steam enters the pressure cylinder is driven by the newly added bypass pipeline, the problem that the air blast is heated due to the negative work of the last stages of blades of the low-pressure cylinder is avoided, the exhaust steam temperature is rapidly increased, and the unit needs to avoid the high exhaust steam temperature as much as possible, so that the possibility of friction between the rotor and the stator component due to thermal deformation or excessive differential expansion is reduced.
In this embodiment, specifically: in S2, the online monitoring system monitors blade vibration, water erosion, dynamic and static clearance change and blade health monitoring system to monitor blade amplitude, clearance and blade metal temperature in real time, so as to avoid operation risk caused by overheating of the last stage blade; the dynamic stress of the blade is monitored in real time through the online monitoring system, and the risk of operation of the last-stage blade is reduced.
In this embodiment, specifically: in S3, carrying out data mining and cluster analysis on historical operating conditions and real-time operating conditions of the unit, determining variable operating condition curves of each model assembly by taking historical operating data as a basis, carrying out self-adaptive correction on the variable operating condition curves by using the real-time operating data, and establishing a 600MW cogeneration unit long-distance heat supply process simulation model as a basis for subsequent thermoelectric decoupling and different heat supply mode characteristics; through the long-distance heat supply process simulation model of the 600MW cogeneration unit, data support is provided for subsequent thermoelectric decoupling and different heat supply mode characteristics.
In this embodiment, specifically: in S4, carrying out simulation research on an intelligent energy consumption computing platform to obtain soft measurement data, and providing technical support for research of a cogeneration cooperative control strategy; and displaying the data through an intelligent energy consumption computing platform so that a worker can check the data conveniently.
In this embodiment, specifically: in S5, establishing a mechanism model of the cogeneration system of the thermal power generating unit, determining a matched decoupling scheme, and developing the decoupling characteristic of the cogeneration system by taking the lowest electric load and the maximum heat supply capacity increasing capacity as evaluation indexes; and determining a matched decoupling scheme through the heat storage capacity and the heat supply hysteresis of the long-distance pipeline by the heat and power combined supply system of the thermal power generating unit.
In this embodiment, specifically: in S6, according to external thermal and electrical load conditions, on the premise of guaranteeing the thermoelectric quality, exploring a unit energy-saving automatic optimization control scheme to respectively obtain a heat supply distribution adjustment rule and each heater on-off operation scheme; and performing simulation operation on the optimal operation scheme according to the historical data through the data driving model.
In this embodiment, specifically: in the S7, an operation scheme under a thermoelectric disturbance condition is developed by carrying out configuration of a thermoelectric cooperation automatic optimization searching control scheme, optimal control parameters of a cooperation control system are determined, and heat supply and energy saving effects of a unit are verified; and performing simulation operation on the result of the operation scheme through simulation modeling, thereby verifying the heat supply and energy saving effects of the cogeneration unit.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (8)
1. An optimized revenue method for cogeneration plants, the physical signs of which are characterized by comprising the following steps:
s1, performing cylinder cutting heat supply transformation by using a 600MW unit, and then cutting off steam inlet of an original steam inlet pipeline of the low-pressure cylinder by using a hydraulic butterfly valve which can be completely sealed;
s2, adding an online monitoring system to perform safety monitoring work on the running state of the blade, wherein the monitoring interval is 5-10 min;
s3, determining a basic structure of a mathematical model of a working medium flow and key equipment of the 600MW cogeneration unit based on a mechanism equation, design data and field test data;
s4, constructing an intelligent energy consumption calculation platform of the thermal power generating unit suitable for cogeneration by combining the real-time data of the unit and the historical data within 5-10 days, and developing an energy consumption analysis visualization platform of the cogeneration unit;
s5, according to the heat storage capacity of the long-distance pipeline and the heat supply hysteresis, estimating the influence rule of the transient performance change of the long-distance heat supply on the heat supply quality, and establishing a mechanism model of the combined heat and power system of the thermal power generating unit;
s6, constructing a coordinated control scheme of the combined heat and power system with a predictive control or self-adaptive control structure, introducing an identification model, and establishing a data driving model by adopting historical data within 5-10 days;
and S7, establishing a dynamic link library to package the control platform, and establishing application software to realize system control indexes, control effects and running states to form the full-intelligent thermoelectric cooperative control system of the thermal power unit.
2. The optimized revenue method for the cogeneration unit of claim 1, wherein in the step S1, a small amount of cooling steam is introduced through a new bypass pipeline for taking away the blast heat generated by the rotation of the low pressure rotor after the low pressure cylinder is cut off.
3. The optimized revenue method for the cogeneration unit of claim 1, wherein in S2, the on-line monitoring system avoids the operational risk caused by overheating of the last stage blade by monitoring blade flutter, water erosion, dynamic and static clearance variation and the blade health monitoring system real-time monitoring of blade amplitude, clearance and blade metal temperature.
4. The optimized profit method for the cogeneration unit according to claim 1, wherein in S3, data mining and cluster analysis are performed on historical and real-time operating conditions of the unit, variable condition curves of each model component are determined based on historical operating data, the variable condition curves are adaptively corrected by using the real-time operating data, and a 600MW cogeneration unit long-distance heat supply process simulation model is built as a basis for subsequent heat and power decoupling and different heat supply mode characteristics.
5. The optimized revenue method for the cogeneration unit of claim 1, wherein in S4, simulation research is conducted on an intelligent energy consumption computing platform to obtain soft measurement data, so as to provide technical support for research on the cogeneration cooperative control strategy.
6. The optimized profit method for the cogeneration unit according to claim 1, wherein in S5, a mechanism model of the cogeneration system of the thermal power unit is established, a matching decoupling scheme is determined, and decoupling characteristics of the cogeneration system are developed with a lowest electrical load and a maximum heating capacity as evaluation indexes.
7. The optimized profit method for a cogeneration unit according to claim 1, wherein in S6, on the premise of guaranteeing the heat and power quality according to the external heat and power load conditions, an energy-saving automatic optimization searching control scheme for the unit is explored to obtain a heat supply distribution adjustment rule and an operation scheme for each heater to be switched on and off respectively.
8. The optimized revenue method for the cogeneration unit of claim 1, wherein in S7, the configuration of the cooperative thermal power automatic optimization control scheme is performed to develop an operation scheme under thermal power disturbance condition, determine the optimal control parameters of the cooperative control system, and verify the heating and energy saving effects of the unit.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102019006037A1 (en) * | 2019-01-18 | 2020-07-23 | Steffen Knöfler | Process for the optimized operation of a power-modulating, electricity-led combined heat and power unit (CHP) with high-temperature heat extraction |
| CN112000012A (en) * | 2020-08-14 | 2020-11-27 | 浙江浙能绍兴滨海热电有限责任公司 | Unit sliding pressure control optimization method and system based on thermoelectric load condition |
| CN113822496A (en) * | 2021-10-27 | 2021-12-21 | 杭州英集动力科技有限公司 | Multi-unit thermal power plant heat supply mode and parameter online optimization method |
| CN113987934A (en) * | 2021-10-27 | 2022-01-28 | 杭州英集动力科技有限公司 | Multi-unit multi-mode heat supply power plant operation comprehensive evaluation method based on fuzzy analysis |
| WO2022048127A1 (en) * | 2020-09-04 | 2022-03-10 | 华北电力大学 | Optimization and regulation method and system for thermoelectric heat pump-thermoelectricity combined system |
-
2022
- 2022-03-21 CN CN202210278486.XA patent/CN114580304A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102019006037A1 (en) * | 2019-01-18 | 2020-07-23 | Steffen Knöfler | Process for the optimized operation of a power-modulating, electricity-led combined heat and power unit (CHP) with high-temperature heat extraction |
| CN112000012A (en) * | 2020-08-14 | 2020-11-27 | 浙江浙能绍兴滨海热电有限责任公司 | Unit sliding pressure control optimization method and system based on thermoelectric load condition |
| WO2022048127A1 (en) * | 2020-09-04 | 2022-03-10 | 华北电力大学 | Optimization and regulation method and system for thermoelectric heat pump-thermoelectricity combined system |
| CN113822496A (en) * | 2021-10-27 | 2021-12-21 | 杭州英集动力科技有限公司 | Multi-unit thermal power plant heat supply mode and parameter online optimization method |
| CN113987934A (en) * | 2021-10-27 | 2022-01-28 | 杭州英集动力科技有限公司 | Multi-unit multi-mode heat supply power plant operation comprehensive evaluation method based on fuzzy analysis |
Non-Patent Citations (2)
| Title |
|---|
| DINH, B.H等: "A modified bat algorithm to improve the search performance applying for the optimal combined heat and power generations", 《AETA》, 31 December 2020 (2020-12-31) * |
| 刘帅;郑立军;俞聪;高新勇;刘国弼;赵春风;张晓丽;曹创;徐建鹏;: "200MW机组切除低压缸进汽供热改造技术分析", 华电技术, no. 06, 24 June 2020 (2020-06-24) * |
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