CN110989360A - Thermal power generating unit steady-state history optimizing method based on full data - Google Patents
Thermal power generating unit steady-state history optimizing method based on full data Download PDFInfo
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- CN110989360A CN110989360A CN201911338075.XA CN201911338075A CN110989360A CN 110989360 A CN110989360 A CN 110989360A CN 201911338075 A CN201911338075 A CN 201911338075A CN 110989360 A CN110989360 A CN 110989360A
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- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
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Abstract
The invention relates to a thermal power generating unit steady-state history optimizing method based on full data, which specifically comprises the following steps: selecting four parameters of load, ambient temperature, received base low heating value and heat supply flow when the unit operates, and establishing a four-dimensional optimization working condition database; thermal parameters required by the power supply and coal consumption of the computer unit are collected in an SIS real-time/historical database of the thermal power plant, and unit performance indexes under different working conditions are calculated according to an online thermal calculation model; then judging the running state of the unit; when the running state of the unit is a stable state, comparing the power supply coal consumption calculated according to the current time point with the optimal time power supply coal consumption recorded in the historical optimizing working condition table, and determining the optimal working condition of the current time point. Compared with other operation optimization guidance methods, the method can output the full thermodynamic calculation indexes and operation parameters; the optimizing object is data which is operated by the unit historically, the operation guidance target value has high reproducibility, and the applicability in practical application is strong.
Description
Technical Field
The invention relates to the technical field of thermal power generation, in particular to a thermal power generating unit steady-state history optimizing method based on full data.
Background
At present, under the conditions of insufficient energy and continuously increased cost of power generation raw materials in the world, the energy consumption is controlled within 50 hundred million tons of standard coal in 2020 planning of China, so that various thermal power generation enterprises consider improving the economy of a power plant and the operation efficiency of a unit, reducing the coal consumption of unit power generation to enhance the market competitiveness, and the unit can reach the optimal operation state under different operation conditions by reasonably optimizing the controllable operation parameters of the thermal power unit, thereby realizing the purposes of energy conservation and consumption reduction of the thermal power unit. However, the thermal power generating unit frequently has the phenomena of large power supply coal consumption dispersion degree and long-time deviation from the historical optimal value in the actual operation process, mainly because the economic performance of the unit does not reach the due level, the economic performance of the unit operation is influenced by a plurality of factors, wherein the factors mainly include the design level, the load, the coal quality, the equipment health condition, the operator level and the like. The loss caused by the deviation of the operation parameters from the optimal values can be effectively controlled, the optimal operation parameter values are obtained through theoretical calculation according to design values, experience values or set ideal conditions in the past, the methods have some defects, the optimal values of main relevant equipment operation parameters in the actual stable operation process of the power plant unit cannot be obtained, the purpose that the unit can achieve the lowest power supply coal consumption operation under different working conditions is not achieved, and the overall economy of the power plant is improved.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention provides a thermal power unit steady-state history optimizing method based on full data, and solves the technical problems that the thermal power unit has large power supply coal consumption dispersion degree and deviates from a historical optimal value for a long time in the operation process.
The invention is realized by the following technical scheme:
a thermal power generating unit steady-state history optimizing method based on full data specifically comprises the following steps:
s1: selecting four parameters of load, ambient temperature, received base low heating value and heat supply flow when the unit operates, dividing working conditions by adopting an equal width method, and establishing a four-dimensional optimization working condition database;
s2: thermal parameters required by the power supply and coal consumption of the computer unit are collected in an SIS real-time/historical database of the thermal power plant, and unit performance indexes under different working conditions are calculated according to an online thermal calculation model;
s3: judging whether the unit running state is a stable state or not by collecting relevant data in the unit running;
s4: when the operation state of the unit is judged to be a stable state in the S3, determining the operation condition of the unit at the current time according to the load, the ambient temperature, the received basic low heating value and the heat supply flow parameter collected at the current time, and comparing the power supply coal consumption calculated by the unit at the current time point with the optimal power supply coal consumption recorded in the historical optimizing condition table to determine the optimal condition of the current time point;
s5: and outputting the unit performance index of the current time point and the corresponding thermal power total input parameter to a standard data table together with the performance index of the coal consumption optimal time point recorded in the historical optimizing working condition table and the thermal power total input parameter at the corresponding time, so as to provide a reference range for unit parameter adjustment.
Further, in S2, the indexes of coal consumption of power supply, boiler efficiency, and steam turbine heat consumption of the unit under different working conditions are calculated according to the online thermal calculation model.
Further, the operation data of the unit are collected one by one in S3, the steady-state working conditions are screened according to the comparison of multiple parameters of the unit, and the non-steady-state working conditions are eliminated.
Further, the relevant data required to be collected when the unit operation state is compared and judged in S3 are: compared with the previous moment, the method has the advantages that whether the load change rate of the unit at the current moment exceeds the limit or not, whether the starting and stopping operations of the main auxiliary machine exist or not, whether the regulating valve of the steam turbine is adjusted or not and whether the environmental protection index exceeds the standard or not.
Further, in S4, when the power supply coal consumption calculated by the unit at the current time point is higher than the optimal time power supply coal consumption recorded in the historical optimization working condition table, determining that the data in the historical working condition table is an optimal value record;
when the power supply coal consumption calculated by the unit at the current time point is lower than the optimal time power supply coal consumption recorded in the historical optimizing working condition table, or the current working condition has no historical optimal value record, writing the data of the current time point into the historical optimal working condition table;
and when the unit operates to the optimizing working condition again at a certain subsequent moment, comparing the calculated coal consumption of the new time point with the historical optimal value under the working condition again to determine the optimal working condition, and repeating the steps in such a circulating way to realize the dynamic optimizing of the optimal working condition.
Further, when the unit equipment is subjected to major technical transformation or obvious performance degradation, the historical optimization records are cleared, and the unit historical optimization is carried out again according to the optimization process given in S1-S5.
Compared with the prior art, the invention has the beneficial effects that:
compared with the existing other operation optimization methods which only can output main indexes, the thermal power generating unit steady-state history optimization method based on the full data can output the full thermodynamic calculation indexes and the operation parameters, synchronously output the data of the current time point and the history optimization data to the standard data table, facilitate the reasonable adjustment of operation and maintenance personnel, and have repeatable reproducibility in operation because the optimization object is the history data; the optimization working condition adopts an iterative cycle and dynamic optimization mode, and can gradually approach the performance limit value of the unit; when the performance of the equipment is changed greatly, the optimizing process can be repeated by reconstructing the historical optimizing working condition table.
Drawings
Fig. 1 is a flowchart of a steady-state history optimizing method for a thermal power generating unit based on full data according to an embodiment of the present invention.
Detailed Description
The following examples are presented to illustrate certain embodiments of the invention in particular and should not be construed as limiting the scope of the invention. The present disclosure may be modified from materials, methods, and reaction conditions at the same time, and all such modifications are intended to be within the spirit and scope of the present invention.
As shown in fig. 1, a steady-state history optimizing method for a thermal power generating unit based on full data includes the following steps:
s1: the load, the ambient temperature, the low-order calorific capacity of receiving basis and heat supply flow when will the unit operation carry out the operating mode according to the isopachous and divide, for example: the 600MW unit divides the load from 200MW to 600MW according to every 5MW, divides the environment temperature from 10 ℃ to 40 ℃ according to every 1 ℃, divides the received base low-level heating value from 18000kJ/kg to 32000kJ/kg according to every 100kJ/kg, divides the heating flow from 0t/h to 600t/h according to every 5t/h, and establishes a four-dimensional optimization working condition database;
s2: selecting four parameters of load, ambient temperature, received base low heating value and heating flow under the actual steady-state operation condition; as shown in table 1 below:
TABLE 1 parameters under actual steady state operation
| Parameter name | Unit of | Steady state operating value |
| Load(s) | MW | 304.1 |
| Ambient temperature | ℃ | 19.98 |
| Low calorific value of received power | kJ/kg | 22900 |
| Heat supply flow | t/h | 0 |
| Coal consumption of power supply | g/kWh | 334.44 |
| Time stamp | Time of day | 2019/10/1208:25 |
| …… |
S3: automatically matching historical optimizing conditions in an optimizing condition database according to four parameters of load, ambient temperature, received base low heating value and heating flow, and selecting the operation condition with the lowest coal consumption and the time scale thereof as shown in the following table 2:
TABLE 2 comparison table of historical optimizing conditions and actual steady-state operation parameters
| Parameter name | Unit of | Steady state operating value | Optimizing mode |
| Load(s) | MW | 304.1 | 300-305 |
| Ambient temperature | ℃ | 19.44 | 18-19 |
| Low calorific value of received power | kJ/kg | 22900 | 22800-23000 |
| Heat supply flow | t/h | 0 | 0 |
| Coal consumption of power supply | g/kWh | 334.44 | 335.68 |
| Time stamp | Time of day | 2019/10/1208:25 | 2019/10/1018:10 |
| …… |
When the power supply coal consumption calculated by the unit at the current time point is lower than the optimal time power supply coal consumption recorded in the historical optimizing working condition table, or the current working condition has no historical optimal value record, writing the data of the current time point into the historical optimal working condition table; when the power supply coal consumption calculated by the unit at the current time point is higher than the optimal time power supply coal consumption recorded in the historical optimizing working condition table, determining the data in the historical working condition table as an optimal value record; as shown in table 3 below;
TABLE 3 new look-up table of optimum working condition and actual steady-state operation parameter
| Parameter name | Unit of | Steady state operating value | Optimizing mode |
| Load(s) | MW | 304.1 | 300-305 |
| Ambient temperature | ℃ | 19.44 | 18-19 |
| Low calorific value of received power | kJ/kg | 22900 | 22800-23000 |
| Heat supply flow | t/h | 0 | 0 |
| Coal consumption of power supply | g/kWh | 334.44 | 334.44 |
| Time stamp | Time of day | 2019/10/1208:25 | 2019/10/1208:25 |
| …… |
S4: inquiring the total controllable parameter value corresponding to the optimal working condition time scale for reference adjustment of field personnel, as shown in the following table 4:
TABLE 4 Total controllable parameter table corresponding to optimal working condition time scale
| Parameter name | Unit of | Steady state operating value | Optimizing parameter values |
| Temperature of main steam | ℃ | 567.485 | 568.293 |
| Main steam pressure | MPa | 13.154 | 13.233 |
| Reheat steam temperature | ℃ | 566.323 | 567.918 |
| Temperature of feed water | ℃ | 244.73 | 238.668 |
| Temperature of flue gas | ℃ | 116.207 | 117.499 |
| Amount of oxygen | ％ | 4.795 | 5.252 |
| Condenser vacuum | -KPa | -97.105 | -97.418 |
| Amount of superheated desuperheated water | t/h | 59.8 | 53.6 |
| End difference of condenser | ℃ | 7.6 | 7.2 |
| … | … | … | … |
When the group equipment has a major technical improvement or obvious performance deterioration, all historical optimization result data before can be cleared by reconstructing the historical optimal working condition table, and the steady-state historical optimization process of S1-S4 is repeated.
In summary, the unit steady-state optimization method provided by the application optimizes the lowest coal consumption operation condition of the unit on line, determines the controllable parameter value under the time scale of the optimal operation condition, facilitates the adjustment of operators, and achieves the purposes of energy conservation and consumption reduction of the coal-fired power plant.
The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by the present specification, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (6)
1. A thermal power generating unit steady-state history optimizing method based on full data is characterized by comprising the following steps:
s1: selecting four parameters of load, ambient temperature, received base low heating value and heat supply flow when the unit operates, dividing working conditions by adopting an equal width method, and establishing a four-dimensional optimization working condition database;
s2: thermal parameters required by the power supply and coal consumption of the computer unit are collected in an SIS real-time/historical database of the thermal power plant, and unit performance indexes under different working conditions are calculated according to an online thermal calculation model;
s3: judging whether the unit running state is a stable state or not by collecting relevant data in the unit running;
s4: when the operation state of the unit is judged to be a stable state in the S3, determining the operation condition of the unit at the current time according to the load, the ambient temperature, the received basic low heating value and the heat supply flow parameter collected at the current time, and comparing the power supply coal consumption calculated by the unit at the current time point with the optimal power supply coal consumption recorded in the historical optimizing condition table to determine the optimal condition of the current time point;
s5: and outputting the unit performance index of the current time point and the corresponding thermal power total input parameter to a standard data table together with the performance index of the coal consumption optimal time point recorded in the historical optimizing working condition table and the thermal power total input parameter at the corresponding time, so as to provide a reference range for unit parameter adjustment.
2. The thermal power generating unit steady-state history optimizing method based on the full data as claimed in claim 1, wherein in S2, the indexes of power supply coal consumption, boiler efficiency and steam turbine heat consumption performance of the unit under different working conditions are calculated according to an online thermodynamic calculation model.
3. The thermal power generating unit steady-state history optimizing method based on the full data as claimed in claim 1, wherein in S3, unit operation data are collected one by one, steady-state operating conditions are screened according to unit multi-parameter comparison, and non-steady-state operating conditions are eliminated.
4. The thermal power generating unit steady-state history optimizing method based on the full data as claimed in claim 3, wherein the relevant data required to be collected when comparing and judging the unit operation state in S3 are: compared with the previous moment, the method has the advantages that whether the load change rate of the unit at the current moment exceeds the limit or not, whether the starting and stopping operations of the main auxiliary machine exist or not, whether the regulating valve of the steam turbine is adjusted or not and whether the environmental protection index exceeds the standard or not.
5. The steady-state history optimizing method based on the total data of the thermal power generating unit according to claim 1, wherein in S4, when the power supply coal consumption calculated by the thermal power generating unit at the current time point is higher than the optimal time power supply coal consumption recorded in the history optimizing condition table, the data in the history condition table is determined to be an optimal value record;
when the power supply coal consumption calculated by the unit at the current time point is lower than the optimal time power supply coal consumption recorded in the historical optimizing working condition table, or the current working condition has no historical optimal value record, writing the data of the current time point into the historical optimal working condition table;
and when the unit operates to the optimizing working condition again at a certain subsequent moment, comparing the calculated coal consumption of the new time point with the historical optimal value under the working condition again to determine the optimal working condition, and repeating the steps in such a circulating way to realize the dynamic optimizing of the optimal working condition.
6. The steady-state history optimizing method for the thermal power generating unit based on the full data as claimed in claim 1, wherein when the unit equipment is subjected to major technical transformation or obvious performance degradation, the history optimizing record is cleared, and the unit history optimizing is carried out again according to the optimizing process given in S1-S5.
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