CN114757437A - Method for determining working condition of thermal power plant and related equipment - Google Patents
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Abstract
The embodiment of the application discloses a method for determining working conditions of a thermal power plant and related equipment, which are used for judging the optimal working conditions of the thermal power plant. The method of the embodiment of the application comprises the following steps: acquiring multiple groups of initial operation data of a thermal power plant; each group of initial operation data is data corresponding to one working condition; if the initial operation data do not accord with preset conditions, removing redundant data of the initial operation data to keep target operation data corresponding to different working conditions; and calculating coal consumption data of each group of target operation data under corresponding working conditions, wherein the coal consumption data is used for determining the target working conditions.
Description
Technical Field
The embodiment of the application relates to the technical field of working conditions of thermal power plants, in particular to a method for determining the working conditions of the thermal power plants and related equipment.
Background
At present, the power generation of a thermal power plant faces the difficult problem of energy conservation and environmental protection, so that the research on the operation optimization technology of an intelligent power plant is urgent through an informatization technical means. What the optimal operating conditions are is the first to consider in operational optimization.
In the prior art, a company provides a power station optimization solution, and by constructing equipment and software and then constructing functional modules such as power station operation optimization, unit control optimization, efficiency analysis optimization, production management and the like, a mode of 'small index competition' is tried to be replaced, and the operation optimization effect is improved. Companies also set corresponding logics and partial coal consumption values for operation optimization at the control layer by integrating advanced intelligent equipment, and strive to realize the improvement of operation optimization effect on the equipment layer. Meanwhile, there is also a method for providing combustion optimization under different operating conditions on line based on pattern recognition and Radial Basis Function (RBF) technology.
However, these methods only use a single index or parameter as a condition to perform the working condition division, and cannot accurately guide the actual operation of the thermal power plant.
Disclosure of Invention
The embodiment of the application provides a method for determining working conditions of a thermal power plant and related equipment, which are used for judging the optimal working conditions of the thermal power plant.
The embodiment of the application provides a method for determining working conditions of a thermal power plant in a first aspect, and the method comprises the following steps:
acquiring multiple groups of initial operation data of a thermal power plant; each group of initial operation data is data corresponding to one working condition;
if the initial operating data do not accord with preset conditions, removing redundant data of the initial operating data to keep target operating data corresponding to different working conditions;
and calculating coal consumption data of each group of target operation data under corresponding working conditions, wherein the coal consumption data is used for determining the target working conditions.
The embodiment of the application provides a method for determining working conditions of a thermal power plant, which is used for optimizing the working conditions according to multiple groups of operating data of the thermal power plant under different working conditions to obtain the optimal working conditions, so that the actual operation of the thermal power plant is accurately guided.
A second aspect of the embodiments of the present application provides a method for determining a working condition of a thermal power plant, including:
acquiring multiple groups of initial operation data of a thermal power plant; each group of initial operation data is data corresponding to one working condition;
if the initial operating data do not accord with preset conditions, removing redundant data of the initial operating data to keep target operating data corresponding to different working conditions;
and calculating coal consumption data of each group of target operation data under corresponding working conditions, wherein the coal consumption data is used for determining the target working conditions.
Optionally, obtaining multiple sets of initial operating data of the thermal power plant comprises:
and acquiring multiple groups of initial operation data of the thermal power plant according to a sampling period, wherein the sampling period is used for determining sampling precision.
Optionally, the method comprises:
if the temperature data in the initial operation data exceeds the temperature threshold value in the over-temperature and over-limit rule, eliminating the temperature redundant data of the initial operation data to keep target operation data related to temperature under different working conditions;
and/or if the pressure data in the initial operation data exceeds the pressure threshold value in the over-temperature and over-limit rule, eliminating the pressure redundant data of the initial operation data so as to keep target operation data related to pressure under different working conditions.
Optionally, the preset condition includes an operation stability value, the operation stability value includes a pressure difference value and a temperature difference value, and the method includes:
if the difference value of the pressure data in the two adjacent initial operation data exceeds the pressure difference value, eliminating the pressure redundant data of the initial operation data so as to keep target operation data related to pressure under different working conditions;
and/or if the difference value of the temperature data in the two adjacent initial operation data exceeds the temperature difference value, eliminating the temperature redundant data of the initial operation data so as to keep target operation data related to temperature under different working conditions.
Optionally, calculating coal consumption data of each set of target operation data under corresponding working conditions includes:
calculating the coal consumption data of each group of target operation data under the corresponding working condition according to the coming coal data and the stored coal data of the power plant;
sequencing the coal consumption data to obtain the minimum value of the coal consumption data;
and determining the working condition corresponding to the minimum value of the coal consumption data as the target working condition.
Optionally, the initial operating data includes main steam pressure, main steam temperature, reheat steam temperature, oxygen content, power plant load, main steam flow, ambient temperature, or lower calorific value of coal as fired.
Optionally, the preset conditions include that the difference in main steam pressure is no more than 1mpa, the difference in main steam temperature is no more than 10 degrees or the oxygen content is no more than one percent.
The embodiment of the application provides a method for determining working conditions of a thermal power plant, according to multiple groups of operating data of the thermal power plant under different working conditions, bad data which are not in accordance with safety of the thermal power plant, such as overtemperature and overrun, are removed, reliable target operating data of stable operation are found, coal consumption data of corresponding working conditions are found according to the target operating data, and therefore the optimal working conditions can be found according to the coal consumption data.
A third aspect of the embodiments of the present application provides a system for determining operating conditions of a thermal power plant, including:
the acquisition unit is used for acquiring multiple groups of initial operation data of the thermal power plant; each group of initial operation data is data corresponding to one working condition;
the removing unit is used for removing redundant data of the initial operating data when the initial operating data do not accord with preset conditions so as to keep target operating data corresponding to different working conditions;
and the calculating unit is used for calculating coal consumption data of each group of target operation data under corresponding working conditions, and the coal consumption data is used for determining the target working conditions.
A third aspect of an embodiment of the present application provides a system for determining an operating condition of a thermal power plant, which is configured to perform the method according to the first aspect.
A fourth aspect of the present application provides a system for determining operating conditions of a thermal power plant, including:
the acquisition unit is used for acquiring multiple groups of initial operation data of the thermal power plant; each group of initial operation data is data corresponding to one working condition;
the removing unit is used for removing redundant data of the initial operation data when the initial operation data do not accord with preset conditions so as to keep target operation data corresponding to different working conditions;
and the calculating unit is used for calculating coal consumption data of each group of target operation data under corresponding working conditions, and the coal consumption data is used for determining the target working conditions.
Optionally, the obtaining unit includes: a subunit is acquired.
The acquisition subunit is configured to acquire multiple sets of the initial operating data of the thermal power plant according to a sampling period, where the sampling period is used to determine sampling accuracy.
Optionally, the rejection unit comprises: the first rejection subunit and the second rejection subunit.
The first removing subunit is used for removing the temperature redundant data of the initial operation data when the temperature data in the initial operation data exceeds the temperature threshold value in the over-temperature and over-limit rule so as to keep target operation data related to temperature under different working conditions;
and/or the presence of a gas in the gas,
and the second rejecting subunit is used for rejecting the pressure redundant data of the initial operating data when the pressure data in the initial operating data exceeds the pressure threshold value in the over-temperature and over-limit rule so as to retain target operating data related to pressure under different working conditions.
Optionally, the preset condition includes an operation stability value, the operation stability value includes a pressure difference value and a temperature difference value, and the removing unit includes: a third rejecting subunit and a fourth rejecting subunit.
The third eliminating subunit is used for eliminating the pressure redundant data of the initial operation data when the difference value of the pressure data in the two adjacent initial operation data exceeds the pressure difference value so as to keep target operation data related to pressure under different working conditions;
and/or the presence of a gas in the gas,
and the fourth eliminating subunit is used for eliminating the temperature redundant data of the initial operating data when the difference value of the temperature data in the two adjacent initial operating data exceeds the temperature difference value so as to keep the target operating data related to the temperature under different working conditions.
Optionally, the computing unit comprises: a calculating subunit, a sorting subunit and a determining subunit.
The calculating subunit is used for calculating the coal consumption data of each group of target operation data under the corresponding working condition according to the coal coming data and the coal storage data of the power plant;
the sorting subunit is configured to sort the coal consumption data to obtain a minimum value of the coal consumption data;
and the determining subunit is configured to determine a working condition corresponding to the minimum value of the coal consumption data as the target working condition.
The system for determining the working condition of the thermal power plant provided by the fourth aspect of the embodiment of the application is used for executing the method of the second aspect.
A fifth aspect of the embodiments of the present application provides a device for determining operating conditions of a thermal power plant, including:
the system comprises a central processing unit, a memory, an input/output interface, a wired or wireless network interface and a power supply;
the memory is a transient memory or a persistent memory;
the central processor is configured to communicate with the memory and execute the instructions in the memory to perform the method of the first or second aspect.
A sixth aspect of embodiments of the present application provides a computer-readable storage medium, which includes instructions that, when executed on a computer, cause the computer to perform the method of the first aspect or the second aspect.
According to the technical scheme, the embodiment of the application has the following advantages: the embodiment of the application provides a method for determining working conditions of a thermal power plant, which is characterized in that according to multiple groups of running data of the thermal power plant under different working conditions, redundant data which do not accord with actual running conditions of the thermal power plant are eliminated, so that stable and credible target running data are found, the optimal working conditions are obtained by combining coal consumption data corresponding to the target-free running data, and the actual running of the thermal power plant is guided to the maximum extent.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments described in the present application, and other drawings can be obtained by those skilled in the art according to the drawings.
FIG. 1 is a schematic flow chart illustrating a method for determining operating conditions of a thermal power plant according to an embodiment of the present disclosure;
FIG. 2 is a schematic flow chart illustrating another method for determining operating conditions of a thermal power plant according to an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of a system for determining operating conditions of a thermal power plant according to an embodiment of the present application;
FIG. 4 is a schematic structural diagram of a system for determining operating conditions of a thermal power plant according to an embodiment of the present application;
fig. 5 is a schematic flow chart of an apparatus for determining an operating condition of a thermal power plant according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, 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 application.
Although the power generation of the current thermal power plant faces the difficult problems of energy conservation and environmental protection requirements (such as resource shortage, ecological destruction, environmental pollution, excessive CO2 emission and the like), the power generation of the current thermal power plant also faces the support of national policies and the development of modern technologies (big data, 5G, cloud computing and rapid development of industrial internet technologies), and the research on the operation optimization technology of the intelligent power plant through an information technology means is urgent. But what the optimal conditions are to be considered first in the operational optimization.
Nowadays, a company provides a power station optimization solution, constructs equipment and software, constructs functional modules such as power station operation optimization, unit control optimization, efficiency analysis optimization and production management, tries to replace a mode of small index competition, and improves the operation optimization effect. It should be understood that in the embodiment of the present application, the small index competition means that the power plant is previously compared and ranked by using a target value guide, and only the optimal value of some indexes is obtained, and the optimal state of the whole unit is not taken as the optimal judgment standard.
And by integrating advanced intelligent equipment, corresponding logics and partial target values of operation optimization are set in a control layer, and the improvement of the operation optimization effect is attempted to be realized on an equipment layer. It should be noted that, in the embodiment of the present application, the target value refers to coal consumption. A method for providing combustion optimization under different operating conditions on line based on pattern recognition and RBF neural network technology is also provided.
However, these methods have the following drawbacks: 1. the working conditions are divided only by taking single quantities such as load and the like as conditions or single technical indexes; 2. only the optimum under transient conditions is considered, and the method is not universally representative; 3. the algorithm model for the huge thermoelectric system has larger error at present; 4. the equipment performance of different power plants and even the same power plant at different time are different, and the method does not form a customized optimization scheme aiming at the power plants; the optimization result does not necessarily conform to the actual situation of the current power plant.
Therefore, the embodiment of the application provides a universal and effective optimal working condition judgment method. Bad data which exceed the temperature and the limit are removed from historical data, reliable data which can represent the current working condition and run stably within a specification line are found, the final target working condition is found according to the minimum coal consumption sequence, and the optimal working condition is found, so that the purpose of improving the power generation management efficiency of the thermal power plant is achieved.
In the embodiments of the present application, the term "operating condition" refers to an operating state of the equipment under the condition directly related to the action thereof. For convenience of description, the description thereof is omitted hereinafter.
It should be further noted that, in the embodiment of the present application, a plant-level real-time monitoring information system (SIS) of a power plant belongs to the automation category of a plant-level production process, and is a bridge for implementing data exchange between a power plant management information system and various decentralized control systems. The SIS system is based on a distributed control system, aims to economically operate and improve the overall benefit of a power generation enterprise, adopts an advanced, applicable and effective professional calculation method, realizes information sharing in the whole power plant range, monitors and schedules real-time information in the plant-level production process, and improves the reliability of unit operation. The method provides real and reliable real-time operation data for the decision of a power plant management layer, and provides scientific and accurate economic indexes for enterprises under market operation. Therefore, it is the basis for cost information and quotation information for power plant production. From a management perspective, it provides important and realistic operational data for controlling enterprise costs, and for increasing productivity. Meanwhile, through analysis and comparison of data, a scientific and reasonable decision scheme can be provided, so that the operation decision of an enterprise management layer is more scientific. The SIS system realizes the management and control integration in the whole plant range, and lays a solid foundation for the fundamental purposes of improving the whole plant overall benefit, improving the information technology, and realizing stable and economic operation. For convenience of description, the SIS system will not be described in detail later.
Referring to fig. 1, fig. 1 is a schematic flow chart illustrating a method for determining operating conditions of a thermal power plant according to an embodiment of the present disclosure. Comprising step 101-step 103.
101. Multiple sets of initial operating data of the thermal power plant are obtained.
Acquiring multiple groups of initial operation data of a thermal power plant; wherein, each group of initial operation data is data corresponding to a working condition. Specifically, a symbolic parameter that can represent the operating state of the thermal power plant is selected and different working conditions under the same condition are defined. It should be noted that, in this embodiment, the landmark parameter is the initial operation data described in the above section.
Firstly, a key parameter capable of representing system operation is selected as a sample, the specific content of the key parameter is not limited in the embodiment, and a power plant can select a representative index according to needs. It should be further noted that the key parameter is a symbolic parameter of the operating state of the thermal power plant, that is, the initial operating data described in the above section, and for convenience of subsequent operations, the detailed description thereof is omitted. Meanwhile, for convenience of description, the following description of the thermal power plant is described by the power plant, and the description is not repeated in the following process.
The same parameter data under the same parameter condition is used as a working condition, then a group of data generated at intervals of the working condition (the interval time can also be set according to requirements) is used as a cluster of samples and is recorded as working condition 1-1, working condition 1-2, working condition 1-3 and the like, and working condition 2,3.. N is also analogized. That is, different parameter data under the same parameter condition can be used as another operating condition. It should be further noted that the marking manner for different working conditions in this embodiment is only one example, the working conditions may also be marked as 1-1-1,1-1-2, etc., the former numbers may represent different parameter conditions, the last numbers may represent power plant loads in different time periods, etc., and the meaning of the working condition marking manner or the number representation is not limited herein.
102. And eliminating redundant data of the initial operation data to keep target operation data corresponding to different working conditions.
After multiple sets of initial operation data are obtained, working conditions 1-X, 2-X or N-X and the like which do not accord with the safety of the power plant, such as over-temperature and over-limit, need to be removed (the power plant can define over-temperature and over-limit rules by itself), so that parameter data samples under the screened load safety and environmental protection conditions are obtained. It should be noted that N is how many groups of different parameter data under the same parameter condition, and X is how many time periods of the same parameter data under the same parameter condition, and for convenience of description, specific meanings of the operating condition N-X are not described in detail later.
Meanwhile, because some data of the power plant are instantaneous and have no reference significance under a stable condition, the operation data with overlarge fluctuation data in adjacent time periods also need to be deleted. Correspondingly, after the operation data is deleted, other operation data of the operation data corresponding to the working condition can be deleted, so that a reliable sample of stable operation, namely the target operation data, is finally reserved.
103. And calculating coal consumption data of each group of target operation data under corresponding working conditions.
And finding the working conditions corresponding to each group of target operation data for all the target operation data determined after screening in the step 102. And then, calculating coal consumption data under the working condition according to a plant-level real-time monitoring information system (SIS) of the power plant at that time, and sequencing the coal consumption data to obtain the coal consumption data with the lowest coal consumption so as to determine the working condition corresponding to the coal consumption data as the optimal working condition.
It should be noted that the coal consumption is calculated according to a formula of the coal consumption, where the formula is as follows:
It is understood that under the same working condition, after the problems of over-temperature, over-limit and instability are eliminated, the lower the coal consumption is, the better the result of the working condition is. The main expenditure of the power plant is coal, the coal consumption is low, and the profit is good.
Therefore, according to the method for determining the working condition of the thermal power plant provided by the embodiment, the working condition is optimized by removing the running data which do not conform to the actual running state of the thermal power plant through a plurality of groups of running data of the thermal power plant under different working conditions, so that the optimal working condition is obtained, and the actual running of the thermal power plant is accurately guided.
The embodiments of the present application will be described in further detail below on the basis of the aforementioned embodiment shown in fig. 1. Referring to fig. 2, fig. 2 is a schematic flow chart illustrating another method for determining operating conditions of a thermal power plant according to an embodiment of the present disclosure. Comprising step 201-step 204.
201. Multiple sets of initial operating data of the thermal power plant are obtained.
Acquiring multiple groups of initial operation data of a thermal power plant; wherein, each group of initial operation data is data corresponding to a working condition. Specifically, a symbolic parameter that can represent the operating state of the thermal power plant is selected and different working conditions under the same condition are defined. It should be noted that, in this embodiment, the landmark parameter is the initial operation data described in the above section.
Firstly, a symbolic parameter capable of representing the operation state of the whole power plant system is selected as a sample, such as main steam pressure, main steam temperature, reheat steam temperature, oxygen content, main steam flow, environment temperature or low calorific value of fired coal, and the like, and the power plant can select a representative index according to the requirement of an actual situation, and the specific content of the symbolic parameter is not limited in this embodiment. After the power plant system selects the characteristic parameters, specific numerical values of the characteristic parameters are obtained, then the same (or similar) numerical values of the same characteristic parameters are used as a working condition, a group of data generated at intervals of the working condition (the interval time can also be set according to needs) is used as a cluster of samples and is recorded as working condition 1-1, working condition 1-2, working condition 1-3 and the like, and the like for working conditions 2 and 3. It should be further noted that the marking manner for different working conditions in this embodiment is only one example, the working conditions may also be marked as 1-1-1,1-1-2, etc., the former numbers may represent different parameter conditions, the last numbers may represent power plant loads in different time periods, etc., and the meaning of the working condition marking manner or the number representation is not limited herein.
The interval time may be set to be different from 5 seconds to 30 minutes, and may be determined according to the required accuracy, and the interval time may be divided into smaller intervals as the required accuracy is higher. For example, initial operation data under a group of working conditions is acquired every 5 seconds, and then all the acquired initial operation data are divided according to the dividing requirements, specifically, the initial operation data can be divided into working conditions 1-1, 1-2 and 1-3.
It will also be appreciated that the division of the operating conditions is not merely described above, but may be in other ways. For example, for other division modes, there are several discrimination conditions in the first 1 of the working conditions 1-1, specifically, 1, main steam flow; 2. ambient temperature; 3. when the coal as fired is low-level heating and the specific data of the above 3 marking parameters are the same, the condition 1 is represented. It is understood that the determination condition may further include other symbolic parameters, which is only one specific example, and this embodiment does not limit the determination condition, and may be added or deleted according to actual situations, and is not described in detail later.
Second 1 represents the load, which is an indication of how much power the power grid is supplying to the power plant, for example, when the power plant is rated at 600MW, the power grid may require the power plant to be loaded at 300MW or 550MW, etc. When the MW is 300MW, the MW is set to 1, namely the working condition is 1-1; at 550MW, it can be set to 2, i.e. the operating mode is 1-2. Others may be analogized by the same. It should be understood that the subsequent determination condition of the working condition may also include other symbolic parameters, which is only one of the specific embodiments, and this embodiment does not limit the determination condition, and may add or delete the condition according to the actual situation, and this is not described in detail in the following.
For example, the main steam pressure has a value P01Main steam temperature of T01Oxygen content of O01The load of the power plant is W01Setting the working condition at the moment to be 1-1-1-1; main steam pressure of P01Main steam temperature of T02Oxygen content of O01The load of the power plant is W01Setting the working condition at the moment to be 1-2-1-1; main steam pressure of P02Main steam temperature of T02Oxygen content of O01The load of the power plant is W01And setting the working condition at the moment to be 2-2-1-1 and the like. It will be understood that each symbol corresponds to a particular numerical value and no limitation is intended thereby.
Referring to table 1, table 1 shows one of the setting modes of the working condition boundaries:
it is understood that, for example, when the main steam flow rate is 580, the ambient temperature is 1, and the furnace entering weighted lower calorific value is 3700, the number corresponding to this condition is P02-T01-Q02(ii) a When the main steam flow is 670, the ambient temperature is 10, and the furnace entering weighted lower heating value is 4000, the serial number corresponding to the working condition is P04-T03-Q03. It should be noted that the setting mode of the working condition boundary is only one specific embodiment, the power plant may set the corresponding working condition boundary according to the actual requirement, and the counted number is also adjusted according to the number of the corresponding working condition boundary, where the specific symbolic parameters, the upper and lower limits, the indexing mode or the counted number of the working condition boundary are not limited. For example, 790-840 may be set to P07 in the main steam flow rate (P), at which the counted number of the main steam flow rate (P) is 7, and so on.
202. And removing redundant data of the initial operation data.
When the initial operation data is acquired and all the acquired initial operation data are divided into a plurality of groups of working conditions according to the dividing requirements, the redundant data of the initial operation data needs to be removed. Specifically, bad data are removed from data clusters of working conditions N-X, such as the working conditions 1-1, 1-2, 1-3 and the like.
Specifically, working conditions N-X such as over-temperature and over-limit which do not accord with the safety of the power plant are eliminated, so that parameter data samples under the screened load safety environment-friendly condition are obtained. It should be noted that the power plant may define the over-temperature and over-limit rule by itself.
For example, the main steam temperature which meets the safety of the power plant is 540-560 ℃, and the main steam temperature in the working condition 1-1 reaches 580 ℃, then the main steam temperature in the working condition 1-1 is considered to be over-temperature and over-limit, so that all initial operation data in the working condition 1-1 are deleted;
furthermore, the main steam pressure according with the safety of the power plant is generally about 24MPa, and the main steam pressure in the working condition 1-2 reaches 30MPa, so that the main steam pressure in the working condition 1-2 is considered to be over-temperature and over-limit, and all initial operation data in the working condition 1-2 are deleted.
Correspondingly, if the specific value of a certain marked parameter in the data sample exceeds the temperature and exceeds the limit, the working condition of the specific value of the marked parameter is correspondingly deleted, so that the parameter data sample under the screened load safety and environmental protection condition is obtained.
Specifically, referring to table 2, table 2 shows an embodiment of the present invention, in which the over-temperature is exceeded:
it should be noted that the specific over-temperature and over-limit example described in table 2 is only one specific example, and other forms of examples are also possible, and the present embodiment does not limit this.
203. And finding a credible sample of stable operation so as to keep target operation data.
Since some of the plant data is instantaneous and has no reference meaning under steady conditions, this step 203 is intended to screen the parameter distribution data clusters within the specification line. It should be noted that, in this embodiment, the stable condition is generally that there is no transition of data samples within a period of time, that is, adjacent data is continuous, so that it can be proved that the operating state is stable. It should be noted that the specification line is generally 3 standard deviations by default in the present embodiment, and it is understood that the present embodiment does not limit the requirements of the specification line, for example, in the present embodiment, the specification line is set to the upper and lower main steam pressures which cannot exceed 1 MPa; the temperature of the main steam cannot exceed 10 ℃; the oxygen content cannot exceed 1%, and the like. The power plant may define the specification line according to the strictness of the data requirement, which is not limited in this embodiment. It is also to be understood that "standard deviation" is defined in the present embodiment as the square root of the arithmetic mean of the standard values of the units in the population squared with their mean deviations. It reflects the degree of dispersion between individuals within a group. If the standard deviation exceeds 3, namely the data dispersion among individuals in the group is overlarge, the corresponding data can be removed.
For example, one set of data generated by a power plant during the current time period is operating conditions 1-1-1, where the main steam temperature is 550 ℃, the main steam pressure is 24MPa, and the load is 300 MW. A group of data generated by the power plant in the next period of the current period is a working condition 1-2-1, wherein the temperature of main steam is 550 ℃, the pressure of the main steam is 27MPa, and the load is 300 MW. It can be seen that the difference between the main steam pressure in the working condition 1-2-1 and the main steam pressure in the working condition 1-1-1 reaches 3MPa and exceeds the specification line, and at the moment, all initial operation data in the working condition 1-2-1 are rejected.
Also, a set of data generated by the power plant at the current time period is operating conditions 2-2-2, wherein the main steam temperature is 560 ℃, the main steam pressure is 25MPa, and the load is 500 MW. One set of data generated by the power plant in the next period of the current period is operating conditions 3-2-2, wherein the main steam temperature is 540 ℃, the main steam pressure is 25MPa, and the load is 500 MW. It can be seen that the difference between the main steam temperature in the working condition 2-2-2 and the main steam temperature in the working condition 3-2-2 reaches 20 ℃, and exceeds the specification line, and at the moment, all initial operation data in the working condition 3-2-2 are rejected.
Correspondingly, if the specific value of a certain symbolic parameter in the data sample exceeds the specification line, the working condition of the specific value of the symbolic parameter is correspondingly deleted, so that a reliable sample which stably runs is found, and the target running data is reserved.
Referring to table 3, table 3 shows that the criterion of the stable condition is the over-temperature and over-limit criterion:
in addition to the overrun criterion, a stability criterion may also be relied upon.
Referring to table 4, table 4 shows that the criterion of the stability condition is:
it is understood that the stable condition may be determined based on various criteria, for example, an environmental protection criterion, in addition to the overrun criterion.
Referring to fig. 5, fig. 5 shows that the judgment of the stable condition is based on the environmental protection criterion:
it should be understood that the judgment basis of the stable condition may be other criteria besides environmental protection, no over-temperature and over-limit, and stability, and the judgment basis is not limited herein.
It should be understood that the specific examples of the stable conditions described in tables 3, 4 and 5 are only one specific example, and other examples are possible, and the present embodiment is not limited thereto.
It can also be understood that when there is an operating data that does not satisfy the stability condition, all operating data under the operating condition corresponding to the operating data need to be eliminated.
204. And calculating coal consumption data of each group of target operation data under corresponding working conditions.
And finding the working condition corresponding to each group of target operation data for the data sample screened in the step, namely the target operation data. And then corresponding coal consumption data under all working conditions are calculated according to the SIS of the power plant at that time, and the coal consumption data are sequenced, so that the optimal working conditions are finally found out according to the sequencing of the lowest coal consumption.
Specifically, the power plant can acquire corresponding indirect data while acquiring the operation data, and the indirect data includes the coming coal data and the coal storage data in each time period for acquiring the operation data. The coal coming data is the quantity of coal fed into a boiler of the power plant, and the coal storage data is the quantity of coal stored in the power plant.
From this, it can be seen that the coal consumption is the amount of coal consumed by subtracting the stored coal data from the original coal data, and from the above,
in other words, the coal consumption is the amount of coal consumed by generating 1KW.h of electricity. According to the conversion formula, the standard coal consumption rate (g/KW.h) of power plant generation is equal to the standard coal consumption (T) multiplied by 1000000/generated energy (KW.h) of power generation. It should be understood that both the incoming coal data and the coal storage data can be stored in the SIS system or other storage devices of the power plant, and the embodiment does not limit the storage manner of the incoming coal data and the coal storage data.
For example, after the screening, there are working conditions 1-1-1, 2-2-2, and 3-3-3, it should be understood that the present embodiment does not limit the dividing basis of the characteristic parameters in the working conditions 1-1-1, 2-2-2, and 3-3-3, nor limit the specific values of the corresponding parameters, and the other working conditions are the same, and at the same time, other working conditions may also be stored, which is only one of the specific embodiments.
Specifically, the incoming coal data corresponding to the working condition 1-1-1 is 1000g, the stored coal data is 725g, and electricity of 1KW.h is produced; the coal coming data corresponding to the working condition 2-2-2 is 2000g, the coal storage data is 1470g, and 2KW.h of electricity is produced; the coming coal data is 3000g and the stored coal data is 2235g corresponding to the working condition 3-3-3, and 3KW.h of electricity is produced. Correspondingly, the coal consumption under the working condition of 1-1-1 is 255g/KH.h, the coal consumption under the working condition of 2-2-2 is 265g/KH.h, and the coal consumption under the working condition of 3-3-3 is 275 g/KH.h. Sequencing the coal consumption of each working condition, wherein if the coal consumption is sequenced from low to high, the method comprises the following steps:
referring to table 6, table 6 is a schedule table of the operating conditions-coal consumption:
| working conditions | Coal consumption (g/KW.h) |
| 3-3-3 | 255 |
| 2-2-2 | 265 |
| 1-1-1 | 275 |
In conclusion, it can be concluded that the working condition 3-3-3 is the optimal working condition, and accordingly, the scheme can be customized for the power plant according to the specific data of the working condition.
It is understood that under the same working condition, after the problems of over-temperature, over-limit and instability are eliminated, the lower the coal consumption is, the better the result of the working condition is. The main expenditure of the power plant is coal, the coal consumption is low, and the profit is good.
It is understood that the optimal working condition needs to satisfy the conditions of stability (no over-temperature and no over-limit, environmental protection, and the fluctuation of key parameters does not exceed the range exemplified in the table), the economical efficiency is good, that is, the coal consumption is low, and finally the optimal working condition is determined.
It should also be understood that referring to table 7, table 7 is a specific example of the operation amount-control amount in the plant operating state:
wherein the operation factor is the amount that the power plant operator can consider to control and adjust, such as valve opening, coal grinding amount, etc.; the intermediate variables are the main parameters of the power plant that can be influenced after the control adjustment, such as the main steam temperature, the main steam pressure, etc.
It is to be understood that the intermediate variable or the control factor may also be other parameters, and the intermediate variable or the control factor is not limited herein.
In summary, it can be obtained that, according to the method for determining the working condition of the thermal power plant provided by this embodiment, according to multiple sets of operating data of the thermal power plant under different working conditions, bad data such as over-temperature and over-limit which do not conform to the safety of the thermal power plant are eliminated, meanwhile, reliable target operating data of stable operation are found through a specification line preset by the thermal power plant, and coal consumption data of corresponding working conditions are found according to the target operating data, so that an optimal working condition can be found according to the coal consumption data, and the actual operation of the thermal power plant is accurately guided.
It should be understood that, although the steps in the flowcharts related to the embodiments as described above are sequentially displayed as indicated by arrows, the steps are not necessarily performed sequentially as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a part of the steps in the flowcharts related to the embodiments described above may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the execution order of the steps or stages is not necessarily sequential, but may be rotated or alternated with other steps or at least a part of the steps or stages in other steps.
If the scenario involves sensitive information (e.g., user information, business information), it should be noted that the collection, use, and handling of the sensitive information need to comply with relevant national and regional laws and regulations and standards, and need to be performed under the permission or consent of the corresponding subject (e.g., user or business, etc.).
With reference to fig. 3, a structure of a system for determining operating conditions of a thermal power plant in the embodiment of the present application is described below, where the structure of a system for determining operating conditions of a thermal power plant includes:
an obtaining unit 301, configured to obtain multiple sets of initial operating data of a thermal power plant; wherein, each group of initial operation data is data corresponding to a working condition;
the removing unit 302 is configured to remove redundant data of the initial operating data when the initial operating data does not meet a preset condition, so as to retain target operating data corresponding to different working conditions;
the calculating unit 303 is configured to calculate coal consumption data of each set of target operation data under the corresponding working condition, where the coal consumption data is used to determine the target working condition.
The embodiment provides a system for determining working conditions of a thermal power plant, which is used for optimizing the working conditions according to multiple groups of operating data of the thermal power plant under different working conditions to obtain the optimal working conditions, so that the actual operation of the thermal power plant is accurately guided.
Referring to fig. 4, a structure of a system for determining operating conditions of a thermal power plant in an embodiment of the present application is described in detail below, where the structure of another system for determining operating conditions of a thermal power plant disclosed in the embodiment of the present application includes:
an obtaining unit 401, configured to obtain multiple sets of initial operating data of a thermal power plant; wherein, each group of initial operation data is data corresponding to a working condition;
a removing unit 402, configured to remove redundant data of the initial operating data when the initial operating data does not meet a preset condition, so as to retain target operating data corresponding to different working conditions;
the calculating unit 403 is configured to calculate coal consumption data of each set of target operation data under corresponding working conditions, where the coal consumption data is used to determine the target working conditions.
Illustratively, the acquisition unit 401 includes: the acquisition sub-unit 4011.
The obtaining sub-unit 4011 is configured to obtain multiple sets of initial operating data of the thermal power plant according to a sampling period, where the sampling period is used to determine sampling accuracy.
Illustratively, the culling unit 402 includes: a first rejection subunit 4021 and a second rejection subunit 4022.
The first rejecting subunit 4021 is configured to reject the temperature redundant data of the initial operating data when the temperature data in the initial operating data exceeds the temperature threshold in the over-temperature and over-limit rule, so as to retain target operating data related to temperature under different working conditions;
and/or the presence of a gas in the gas,
the second rejecting subunit 4022 is configured to reject the pressure redundant data of the initial operating data when the pressure data in the initial operating data exceeds the pressure threshold in the over-temperature and over-limit rule, so as to retain target operating data related to pressure under different working conditions.
Illustratively, the preset condition includes an operation stability value, the operation stability value includes a pressure difference value and a temperature difference value, and the rejecting unit 402 includes: a third rejection subunit 4023 and a fourth rejection subunit 4024.
A third rejecting subunit 4023, configured to reject the pressure redundant data of the initial operating data when a difference between pressure data in every two adjacent initial operating data exceeds a pressure difference, so as to retain target operating data related to pressure under different working conditions;
and/or the presence of a gas in the gas,
the fourth eliminating subunit 4024 is configured to eliminate the temperature redundant data of the initial operating data when the difference between the temperature data in two adjacent initial operating data exceeds the temperature difference, so as to retain the target operating data related to the temperature under different working conditions.
Illustratively, the computing unit 403 includes: a calculation subunit 4031, a sorting subunit 4032 and a determination subunit 4033.
The calculation subunit 4031 is used for calculating coal consumption data of each group of target operation data under corresponding working conditions according to the coming coal data and the stored coal data of the power plant;
a sorting subunit 4032, configured to sort the coal consumption data to obtain a minimum value of the coal consumption data;
and the determining subunit 4033 is used for determining the working condition corresponding to the minimum value of the coal consumption data as a target working condition.
The embodiment provides a system for determining working conditions of a thermal power plant, and according to multiple groups of operating data of the thermal power plant under different working conditions, bad data such as over-temperature and over-limit which do not accord with safety of the thermal power plant are removed, so that credible target operating data of stable operation are found, coal consumption data of corresponding working conditions are found according to the target operating data, and accordingly optimal working conditions can be found according to the coal consumption data.
In summary, compared with the prior art, it can be seen that the working condition determining method and system for a thermal power plant provided by the embodiment of the present application have the following advantages:
1. the optimal working condition is judged by a 4-step scientific screening method instead of only taking single technical indexes such as exhaust gas temperature, fly ash carbon content, boiler efficiency and the like as the standard for judging the optimal working condition; 2. the optimal working condition under the instantaneous condition is eliminated, and the screening result is more representative; 3. the problem that the algorithm model of a huge thermoelectric power system has a large error at present is solved, and the coal consumption is calculated by using the real operation data of the power plant SIS system as a discrimination condition, so that the method is more scientific; 4. each step of screening condition supports the optimization scheme of power plant customization, and the problem that equipment performance of different power plants and even the same power plant is different at different time is solved.
Referring to fig. 5, a schematic structural diagram of an apparatus for determining an operating condition of a thermal power plant according to an embodiment of the present disclosure includes:
a central processing unit 501, a memory 505, an input/output interface 504, a wired or wireless network interface 503 and a power supply 502;
the central processor 501 is configured to communicate with the memory 505 and execute the instructions in the memory 505 to perform the methods described in the embodiments of fig. 1-2.
The embodiment of the present application further provides a chip system, where the chip system includes at least one processor and a communication interface, where the communication interface and the at least one processor are interconnected by a line, and the at least one processor is configured to execute a computer program or instructions to perform the method in the foregoing embodiments shown in fig. 1 to fig. 2.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one position, or may be distributed on multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and the like.
Claims (10)
1. A method for determining operating conditions of a thermal power plant, the method comprising:
acquiring multiple groups of initial operation data of a thermal power plant; each group of initial operation data is data corresponding to one working condition;
if the initial operating data do not accord with preset conditions, removing redundant data of the initial operating data to keep target operating data corresponding to different working conditions;
and calculating coal consumption data of each group of target operation data under corresponding working conditions, wherein the coal consumption data is used for determining the target working conditions.
2. The method of claim 1, wherein obtaining multiple sets of initial operating data for a thermal power plant comprises:
and acquiring multiple groups of initial operation data of the thermal power plant according to a sampling period, wherein the sampling period is used for determining sampling precision.
3. The method of claim 1, wherein the predetermined condition comprises an over-temperature and over-limit rule, and wherein eliminating redundant data of the initial operating data comprises:
if the temperature data in the initial operation data exceeds the temperature threshold value in the over-temperature and over-limit rule, eliminating the temperature redundant data of the initial operation data to keep target operation data related to temperature under different working conditions;
and/or if the pressure data in the initial operation data exceeds the pressure threshold value in the over-temperature and over-limit rule, eliminating the pressure redundant data of the initial operation data so as to keep target operation data related to pressure under different working conditions.
4. The method of claim 1, wherein the predetermined condition comprises an operational stability value, the operational stability value comprises a pressure difference value and a temperature difference value, and removing redundant data of the initial operational data comprises:
if the difference value of the pressure data in the two adjacent initial operation data exceeds the pressure difference value, eliminating the pressure redundant data of the initial operation data so as to keep target operation data related to pressure under different working conditions;
and/or if the difference value of the temperature data in the two adjacent initial operation data exceeds the temperature difference value, eliminating the temperature redundant data of the initial operation data so as to keep target operation data related to temperature under different working conditions.
5. The method of claim 1, wherein calculating coal consumption data for each set of target operating data for the corresponding operating condition comprises:
calculating the coal consumption data of each group of target operation data under the corresponding working condition according to the coming coal data and the stored coal data of the power plant;
sequencing the coal consumption data to obtain the minimum value of the coal consumption data;
and determining the working condition corresponding to the minimum value of the coal consumption data as the target working condition.
6. The method of any one of claims 1 to 5, wherein the initial operational data comprises main steam pressure, main steam temperature, reheat steam temperature, oxygen content, power plant load, main steam flow, ambient temperature, or lower calorific value of coal fired.
7. The method of claim 4, wherein the predetermined conditions include a difference in main steam pressure of no more than 1MPa, a difference in main steam temperature of no more than 10 degrees or an oxygen content of no more than one percent.
8. A system for determining operating conditions of a thermal power plant, the system comprising:
the acquisition unit is used for acquiring multiple groups of initial operation data of the thermal power plant; each group of initial operation data is data corresponding to one working condition;
the removing unit is used for removing redundant data of the initial operating data when the initial operating data do not accord with preset conditions so as to keep target operating data corresponding to different working conditions;
and the calculating unit is used for calculating coal consumption data of each group of target operation data under corresponding working conditions, and the coal consumption data is used for determining the target working conditions.
9. An apparatus for determining operating conditions of a thermal power plant, comprising:
the system comprises a central processing unit, a memory and an input/output interface;
the memory is a transient memory or a persistent memory;
the central processor is configured to communicate with the memory and execute the operations of the instructions in the memory to perform the method of any of claims 1 to 7.
10. A computer-readable storage medium comprising instructions that, when executed on a computer, cause the computer to perform the method of any one of claims 1 to 7.
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| CN110837226A (en) * | 2019-12-26 | 2020-02-25 | 华润电力技术研究院有限公司 | Thermal power generating unit operation optimization method based on intelligent optimization algorithm and related device |
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| CN109407506A (en) * | 2018-11-28 | 2019-03-01 | 深圳圣缘节能科技有限公司 | A kind of acquisition methods of the power plant units dynamic optimal value based on data mining |
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