CN116244916A - Working condition optimizing method for gas generator set - Google Patents
Working condition optimizing method for gas generator set Download PDFInfo
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- CN116244916A CN116244916A CN202211710353.1A CN202211710353A CN116244916A CN 116244916 A CN116244916 A CN 116244916A CN 202211710353 A CN202211710353 A CN 202211710353A CN 116244916 A CN116244916 A CN 116244916A
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- 238000000034 method Methods 0.000 title claims abstract description 19
- 238000013499 data model Methods 0.000 claims abstract description 8
- 239000000446 fuel Substances 0.000 claims description 3
- 239000007789 gas Substances 0.000 description 14
- 238000005457 optimization Methods 0.000 description 3
- 238000013461 design Methods 0.000 description 2
- 230000007613 environmental effect Effects 0.000 description 2
- 230000006872 improvement Effects 0.000 description 2
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 239000002918 waste heat Substances 0.000 description 2
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000004134 energy conservation Methods 0.000 description 1
- 239000003546 flue gas Substances 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 238000010438 heat treatment Methods 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 239000003345 natural gas Substances 0.000 description 1
- 238000010248 power generation Methods 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 238000010977 unit operation Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/02—Reliability analysis or reliability optimisation; Failure analysis, e.g. worst case scenario performance, failure mode and effects analysis [FMEA]
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/06—Power analysis or power optimisation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/08—Thermal analysis or thermal optimisation
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Abstract
The invention relates to a gas generator set working condition optimizing method, which comprises the steps of obtaining the optimal working conditions of a gas engine of each comparison parameter section according to a preset optimal working condition data model, generating a typical working condition and storing the typical working condition into a typical working condition database; acquiring data of a current operation condition; judging whether the comparison parameter data in the current operation working condition corresponds to a section recorded by the typical working condition, wherein the comparison parameter data in the current operation working condition does not correspond to the section recorded by the typical working condition, and establishing the comparison parameter data section in the typical working condition according to the data model; judging whether typical working condition historical data corresponding to the current operation working condition exists in the historical working conditions, comprehensively judging whether the current working condition is the optimal working condition according to the target parameter and the historical working condition when the typical working condition historical data corresponding to the current operation working condition exists in the historical working conditions, comprehensively judging that the current working condition is the optimal working condition when the target parameter and the historical working condition are the optimal working condition, and writing the current operation working condition data into a historical working condition library.
Description
Technical Field
The invention relates to the technical field of gas power plants, in particular to a gas generator set working condition optimizing method.
Background
The gas power plant is a circulating system formed by a gas turbine, a generator, a waste heat boiler and a steam turbine, and the gas power plant is a power plant which is used for recovering and converting high Wen Fa flue gas exhausted by the gas turbine into steam through the waste heat boiler and then injecting the steam into the steam turbine to generate electricity.
At present, how to realize the optimal operation, energy conservation and emission reduction of a gas turbine set is an important subject in the field of gas power generation, the influence of gas factors is not considered in the working condition optimizing method of the gas turbine set, the considered influence factors are single, a large gap exists between the obtained optimal working condition and the actual optimal working condition, and the accuracy of the working condition optimizing result is low.
Disclosure of Invention
In order to solve the technical problems, the invention provides a gas generator set working condition optimizing method, which comprises the following steps: s101, acquiring the optimal working conditions of the fuel engine of each comparison parameter section according to a preset optimal working condition data model, generating a typical working condition and storing the typical working condition into a typical working condition database; s102, acquiring data of a current operation condition; s103, judging whether the comparison parameter data in the current operation working condition corresponds to a section recorded by the typical working condition, wherein the comparison parameter data in the current operation working condition does not correspond to the section recorded by the typical working condition, and entering S104; s104, establishing the contrast parameter data section in a typical working condition according to the data model; s105, judging whether typical working condition historical data corresponding to the current operation working condition exists in the historical working conditions, and entering S106 when the typical working condition historical data corresponding to the current operation working condition exists in the historical working conditions; s106, comprehensively judging whether the current working condition is an optimal working condition according to the target parameter and the historical working condition, and when the target parameter and the historical working condition are comprehensively judged that the current working condition is the optimal working condition, entering S108; s108, writing the current operation working condition data into a history working condition library.
Further, the step S103 is that the comparison parameter data in the current operation condition corresponds to the section of the typical operation condition record, and the step S105 is entered.
Further, in the step S105, when the typical working condition history data corresponding to the current working condition does not exist in the history working conditions, the step S108 is entered.
Further, step S107 is further included, where the current working condition is marked, and the deviation between the current working condition and the optimal working condition is returned.
Further, in the step S106, when the target parameter and the history working condition comprehensively determine that the current working condition is not the optimal working condition, the step S107 is entered.
Further, the step S108 is completed, and the step S102 is entered.
Further, data of the current operation working condition are obtained, working condition conditions such as a load instruction and an ambient temperature are tracked, the current working condition and a target working condition are determined, and a judgment whether optimal adjustment is needed or not is given by the system.
Further, the system tracks according to the comparison parameter data under the current working condition and continuously prompts the deviation degree.
Further, in the history working condition library, the system provides an index mode for quickly searching the optimal operation mode library.
The technical scheme of the invention has the following advantages: comprehensively considering the power consumption of the unit and the historical optimal value of the related parameter index under different operation conditions (environmental temperature, humidity, unit load and heat supply), finding out the difference between the historical optimal parameter index and the actual operation parameter by comparing the historical optimal value with the actual value, and giving out the reason for the difference so as to guide the operation.
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Other features, objects and advantages of the present invention will become more apparent upon reading of the detailed description of non-limiting embodiments, given with reference to the accompanying drawings in which:
FIG. 1 is a schematic flow chart of a method for optimizing the operating conditions of a gas generator set.
Detailed Description
The following describes in further detail the embodiments of the present invention with reference to the drawings and examples. The following examples are illustrative of the invention and are not intended to limit the scope of the invention.
In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and thus should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it should be noted that, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention will be understood in specific cases by those of ordinary skill in the art.
The invention provides a gas generator set working condition optimizing method, which comprises the following steps:
s101, acquiring the optimal working conditions of the fuel engine of each comparison parameter section according to a preset optimal working condition data model, generating a typical working condition and storing the typical working condition into a typical working condition database.
S102, acquiring data of the current operation condition.
S103, judging whether the comparison parameter data in the current operation working condition corresponds to a section recorded by the typical working condition, wherein the comparison parameter data in the current operation working condition does not correspond to the section recorded by the typical working condition, and entering S104; the comparison parameter data in the current operating condition corresponds to the section of the typical operating condition record, and the process proceeds to S105.
S104, establishing the contrast parameter data section in a typical working condition according to the data model.
S105, judging whether typical working condition historical data corresponding to the current operation working condition exists in the historical working conditions, and entering S106 when the typical working condition historical data corresponding to the current operation working condition exists in the historical working conditions; and when the typical working condition history data corresponding to the current operation working condition does not exist in the history working conditions, entering S108.
S106, comprehensively judging whether the current working condition is an optimal working condition according to the target parameter and the historical working condition, and when the target parameter and the historical working condition are comprehensively judged that the current working condition is the optimal working condition, entering S108; and when the target parameters and the history working conditions comprehensively judge that the current working conditions are not the optimal working conditions, entering S107.
S107, marking the current working condition, and returning to the deviation between the current working condition and the optimal working condition.
S108, writing the current operation working condition data into a history working condition library.
The steps above may be performed by completing the step S108, and entering the step S102 to form a closed loop of the program, so as to facilitate continuous operation.
In some embodiments, data of a current operation condition is obtained, working condition conditions such as a load instruction, an ambient temperature and the like are tracked, a current working condition and a target working condition are determined, and a judgment whether optimal adjustment is needed or not is given by a system, so that a working condition tracking function is realized.
In some embodiments, the system tracks according to the comparison parameter data under the current working condition and continuously prompts the deviation degree. The operation guidance function is realized, specifically, the system tracks according to the state 'coordinate', the operation 'coordinate' and the performance 'coordinate' under the current working condition, and the deviation degree is continuously prompted. The aim is to compare working conditions according to the locked reference mode and provide a target and a method for adjusting to the optimal state according to a reasonable operation flow.
In some embodiments, in the historical operating mode library, the system provides an index mode for quickly searching the optimal operating mode library. The operation reference function is realized, a convenient index mode is provided for the system, and the function of quickly searching the optimal operation mode library is realized. An operator can inquire the operation mode under a certain working condition and can be used as a reference for operation. Knowledge and rules of the optimization operation are continuously summarized by analyzing the historical behavior of the operation.
And (3) selecting a unit, and setting the power supply consumption and related parameters of the target working condition under the conditions of unit load, heat supply quantity, ambient temperature and humidity. The displayed items include reference points, parameter descriptions, target values, design values, units, and historical time. The target working condition can be set according to the service requirement, and the setting modes comprise history optimal, history contemporaneous, manual setting, design value setting and the like. And displaying the historical optimal values (parameters such as power supply consumption, plant power consumption and the like) corresponding to the current working conditions (unit load, heat supply quantity, ambient temperature and humidity) in real time.
Under different operation conditions (environmental temperature, humidity, unit load and heat supply), the unit power supply consumption and the historical optimal value and actual value of the related parameter index are given out to compare and optimize the curve, the difference between the historical optimal parameter index and the actual operation parameter is found out, the reason for the difference is given out, and then the operation is guided. By checking the comparison optimization curve of the optimal value and the actual value of the unit operation parameter, production management staff can be helped to know the change and development conditions of each index from the optimal value, and therefore improvement of the control level of the operation staff can be promoted; in addition, through on-line monitoring of certain indexes, especially uncontrollable consumption difference indexes, continuously deviate from a target curve to a large extent, the running health level of equipment is likely to be reduced, the equipment is required to be overhauled, and a scientific basis is provided for unit improvement.
Unlike conventional optimized operation systems, the system should provide intelligent operation guidance based on historical optimal modes, give an optimal target state for adjustment according to target load, current natural gas heating value conditions, and combined with ambient temperature, and track whether this state reaches or approaches the optimal operation mode, and operators know exactly where and how to adjust according to the optimal operation mode. In addition to tracking the system operating state, it is more important to give corresponding modes of operation, which allows the operating optimization guidelines to truly fall to reality.
The foregoing is merely a preferred embodiment of the present invention, and it should be noted that it will be apparent to those skilled in the art that modifications and variations can be made without departing from the technical principles of the present invention, and these modifications and variations should also be regarded as the scope of the invention.
Claims (9)
1. The working condition optimizing method of the gas generator set is characterized by comprising the following steps of:
s101, acquiring the optimal working conditions of the fuel engine of each comparison parameter section according to a preset optimal working condition data model, generating a typical working condition and storing the typical working condition into a typical working condition database;
s102, acquiring data of a current operation condition;
s103, judging whether the comparison parameter data in the current operation working condition corresponds to a section recorded by the typical working condition, wherein the comparison parameter data in the current operation working condition does not correspond to the section recorded by the typical working condition, and entering S104;
s104, establishing the contrast parameter data section in a typical working condition according to the data model;
s105, judging whether typical working condition historical data corresponding to the current operation working condition exists in the historical working conditions, and entering S106 when the typical working condition historical data corresponding to the current operation working condition exists in the historical working conditions;
s106, comprehensively judging whether the current working condition is an optimal working condition according to the target parameter and the historical working condition, and when the target parameter and the historical working condition are comprehensively judged that the current working condition is the optimal working condition, entering S108;
s108, writing the current operation working condition data into a history working condition library.
2. The method for optimizing operation conditions of a gas generator set according to claim 1, wherein the step S103 is performed, the comparison parameter data in the current operation condition corresponds to a section of a typical operation condition record, and the step S105 is performed.
3. The method for optimizing operation conditions of a gas generator set according to claim 1, wherein S105 is performed when typical operation condition history data corresponding to a current operation condition does not exist in the history operation conditions, and the step goes to S108.
4. The method for optimizing the operation of a gas generator set according to claim 1, further comprising step S107, marking the current operation, and returning to the deviation between the current operation and the optimal operation.
5. The method for optimizing operation of a gas generator set according to claim 4, wherein the step S106 is performed when the target parameter and the history operation mode are combined to determine that the current operation mode is not the optimal operation mode, and the step S107 is performed.
6. The method for optimizing operation of a gas generator set according to claim 1, wherein said step S108 is completed and said step S102 is entered.
7. The method for optimizing the working condition of a gas generator set according to claim 1, wherein the data of the current operation working condition is obtained, working condition conditions such as a load instruction, an ambient temperature and the like are tracked, the current working condition and a target working condition are determined, and a judgment whether optimal adjustment is needed or not is given by the system.
8. The method for optimizing the operation of a gas generator set according to claim 1, wherein the system tracks according to the comparison parameter data under the current operation condition and continuously prompts the deviation degree.
9. The method for optimizing operation of a gas generator set according to claim 1, wherein in the history operation mode library, the system provides an index mode for fast searching an optimal operation mode library.
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| CN202211710353.1A CN116244916A (en) | 2022-12-29 | 2022-12-29 | Working condition optimizing method for gas generator set |
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Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103279658A (en) * | 2013-05-21 | 2013-09-04 | 广东电网公司电力科学研究院 | Thermal generator set working condition optimizing method |
| CN111639802A (en) * | 2020-05-28 | 2020-09-08 | 中电投珠海横琴热电有限公司 | Combustion engine unit operation optimization guidance method |
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- 2022-12-29 CN CN202211710353.1A patent/CN116244916A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103279658A (en) * | 2013-05-21 | 2013-09-04 | 广东电网公司电力科学研究院 | Thermal generator set working condition optimizing method |
| CN111639802A (en) * | 2020-05-28 | 2020-09-08 | 中电投珠海横琴热电有限公司 | Combustion engine unit operation optimization guidance method |
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