CN115549215B - Hydropower station unit operation optimization method and system - Google Patents
Hydropower station unit operation optimization method and system Download PDFInfo
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- CN115549215B CN115549215B CN202211382470.XA CN202211382470A CN115549215B CN 115549215 B CN115549215 B CN 115549215B CN 202211382470 A CN202211382470 A CN 202211382470A CN 115549215 B CN115549215 B CN 115549215B
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- 238000010977 unit operation Methods 0.000 title claims abstract description 61
- 238000000034 method Methods 0.000 title claims abstract description 42
- 238000005457 optimization Methods 0.000 title claims abstract description 37
- 238000011156 evaluation Methods 0.000 claims abstract description 124
- 238000010248 power generation Methods 0.000 claims abstract description 47
- 230000007613 environmental effect Effects 0.000 claims abstract description 39
- 238000011234 economic evaluation Methods 0.000 claims abstract description 18
- 238000012216 screening Methods 0.000 claims abstract description 15
- 238000004458 analytical method Methods 0.000 claims description 71
- 238000009826 distribution Methods 0.000 claims description 25
- 238000012544 monitoring process Methods 0.000 claims description 24
- 230000000737 periodic effect Effects 0.000 claims description 21
- 230000007774 longterm Effects 0.000 claims description 6
- 238000012806 monitoring device Methods 0.000 claims description 5
- 238000004891 communication Methods 0.000 claims description 2
- 230000000694 effects Effects 0.000 abstract description 10
- 230000008901 benefit Effects 0.000 abstract description 8
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 13
- 238000011161 development Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 238000003860 storage Methods 0.000 description 2
- 238000012549 training Methods 0.000 description 2
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- 238000013527 convolutional neural network Methods 0.000 description 1
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Classifications
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
- H02J3/466—Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
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Abstract
The application discloses a hydropower station unit operation optimization method and a hydropower station unit operation optimization system, which belong to the technical field of hydropower, and the method comprises the following steps: obtaining historical operation data of a hydropower station unit; obtaining environmental impact data through an environmental acquisition device; performing equipment characteristic identification of the hydropower station unit, and generating an equipment characteristic identification result; acquiring real-time power generation demand data, acquiring real-time environment data, and inputting the real-time power generation demand data, the real-time environment data and the equipment characteristic identification result into a unit matching model to acquire a matching result; performing unit operation economic evaluation to generate operation economic evaluation parameters; performing operation start-stop evaluation to obtain operation start-stop evaluation parameters; and screening the matching result to obtain a unit operation scheme. The application solves the technical problems of low running economy and inaccurate running parameter setting of the hydropower station unit in the prior art, and achieves the technical effects of realizing unit running optimization and improving running efficiency and economic benefit.
Description
Technical Field
The application relates to the technical field of hydropower stations, in particular to a hydropower station unit operation optimization method and system.
Background
The operation management of the hydropower station is enhanced, the power generation capacity of the hydropower station is improved, greater economic benefits can be provided for enterprises, and the system has stronger competitiveness in competitive price surfing of the electric power market. Therefore, the method for researching the operation condition of the hydropower station unit improves the automation degree of the hydropower station, and has very important significance for improving the development of hydropower stations in China.
At present, the basic task of the economic operation of the hydropower station unit is to determine the optimal number, combination and start-stop sequence of the working units in the plant under the condition of given total load, so as to achieve the optimal distribution of the load among the units. However, in the actual production process, the actual running condition of the unit is inconsistent with the preset state due to the change of the running environment of the unit, so that the running efficiency of the unit is low, and a large amount of resources are wasted. In the prior art, the technical problems of low running economy and inaccurate running parameter setting of the hydropower station unit exist.
Disclosure of Invention
The application aims to provide a hydropower station unit operation optimization method and system, which are used for solving the technical problems of low hydropower station unit operation economy and inaccurate operation parameter setting in the prior art.
In view of the problems, the application provides a hydropower station unit operation optimization method and system.
In a first aspect, the present application provides a hydropower station unit operation optimization method, where the method is applied to an operation optimization system, the operation optimization system is communicatively connected to an environmental collection device, and the method includes: obtaining historical operation data of a hydropower station unit; obtaining environmental impact data through the environmental acquisition equipment, wherein the environmental impact data has a corresponding relation with the historical operation data; performing equipment characteristic identification of the hydropower station unit according to the environmental impact data and the historical operation data, and generating an equipment characteristic identification result; acquiring real-time power generation demand data, acquiring real-time environment data through the environment acquisition equipment, and inputting the real-time power generation demand data, the real-time environment data and the equipment characteristic identification result into a unit matching model to acquire a matching result; performing unit operation economic evaluation on the matching result to generate operation economic evaluation parameters; performing operation start-stop evaluation on the matching result to obtain operation start-stop evaluation parameters; and screening the matching result through the operation economy evaluation parameters and the operation start-stop evaluation parameters to obtain a unit operation scheme.
In another aspect, the present application further provides a hydropower station unit operation optimization system, where the system includes: the operation data acquisition module is used for acquiring historical operation data of the hydropower station unit; the environment data acquisition module is used for acquiring environment influence data through environment acquisition equipment, wherein the environment influence data has a corresponding relation with the historical operation data; the identification result generation module is used for carrying out equipment characteristic identification of the hydropower station unit according to the environmental impact data and the historical operation data to generate an equipment characteristic identification result; the matching result obtaining module is used for obtaining real-time power generation demand data, collecting real-time environment data through the environment collecting equipment, and inputting the real-time power generation demand data, the real-time environment data and the equipment characteristic identification result into a unit matching model to obtain a matching result; the operation economy evaluation module is used for performing unit operation economy evaluation on the matching result and generating operation economy evaluation parameters; the evaluation parameter obtaining module is used for performing operation start-stop evaluation on the matching result to obtain operation start-stop evaluation parameters; and the operation scheme obtaining module is used for screening the matching result through the operation economic evaluation parameter and the operation start-stop evaluation parameter to obtain a unit operation scheme.
One or more technical schemes provided by the application have at least the following technical effects or advantages:
according to the application, historical operation data of the hydropower station unit are obtained, then the environmental impact data are collected according to the environmental collection equipment, the collected environmental impact data and the historical operation data have a corresponding relation, the environmental condition during operation can be found according to the historical operation data, further, the equipment of the hydropower station unit is subjected to characteristic identification through the data to obtain an equipment characteristic identification result, further, the real-time power generation demand data and the real-time environmental data are collected, the real-time power generation demand data, the real-time environmental data and the equipment characteristic identification result are input into a unit matching model to obtain a matching result, then, the unit operation economic evaluation is carried out on the matching result to obtain an operation economic evaluation parameter of the current matching result, then, the unit operation start-stop condition in the matching result is evaluated to obtain an operation start-stop evaluation parameter, and then the matching result is screened by integrating the operation economic evaluation parameter and the operation start-stop evaluation parameter, and the unit operation scheme is obtained. The technical effects of optimizing the running condition of the hydropower station unit in real time and realizing optimal running efficiency and economic benefit are achieved.
Drawings
In order to more clearly illustrate the application or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described below, it being obvious that the drawings in the description below are only exemplary and that other drawings can be obtained according to the provided drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of a hydropower station unit operation optimization method provided by an embodiment of the application;
FIG. 2 is a schematic flow chart of obtaining operation start-stop evaluation parameters in a hydropower station unit operation optimization method according to an embodiment of the application;
FIG. 3 is a schematic flow chart of obtaining operation start-stop evaluation parameters through an equipment operation constraint analysis result and a switching equipment constraint analysis result in the hydropower station unit operation optimization method provided by the embodiment of the application;
FIG. 4 is a schematic diagram of a hydropower station unit operation optimization system.
Reference numerals illustrate: the system comprises an operation data obtaining module 11, an environment data collecting module 12, an identification result generating module 13, a matching result obtaining module 14, an operation economy evaluating module 15, an evaluation parameter obtaining module 16 and an operation scheme obtaining module 17.
Detailed Description
The application provides a hydropower station unit operation optimization method and system, which solve the technical problems of low hydropower station unit operation economy and inaccurate operation parameter setting in the prior art. The technical effects of optimizing the unit operation and improving the operation efficiency and the economic benefit are achieved.
The technical scheme of the application obtains, stores, uses, processes and the like the data, which all meet the relevant regulations of national laws and regulations.
In the following, the technical solutions of the present application will be clearly and completely described with reference to the accompanying drawings, and it should be understood that the described embodiments are only some embodiments of the present application, but not all embodiments of the present application, and that the present application is not limited by the exemplary embodiments described herein. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application. It should be further noted that, for convenience of description, only some, but not all of the drawings related to the present application are shown.
Example 1
As shown in fig. 1, the application provides a hydropower station unit operation optimization method, wherein the method is applied to an operation optimization system, the operation optimization system is in communication connection with environment acquisition equipment, and the method comprises the following steps:
step S100: obtaining historical operation data of a hydropower station unit;
specifically, the environment collection equipment refers to a device for collecting the running environment of a hydropower station unit, and comprises a temperature collection device, a humidity collection device, a water level measuring instrument, a wind speed measuring instrument and the like. The hydropower station unit is an object of operation optimization, historical data are analyzed by obtaining historical operation conditions of the hydropower station unit, and operation of the hydropower station unit is optimized. The historical operation data are data generated in the historical operation of the hydropower station unit, and comprise power station water consumption, power generation capacity, working flow, unit number, working unit list and the like. The historical operation condition of the hydropower station unit is collected, so that the operation condition of the hydropower station unit can be integrally mastered, and the actual operation condition of the unit under the influence of a local environment is mastered, thereby providing a basis for optimizing the operation condition of the subsequent hydropower station unit.
Step S200: obtaining environmental impact data through the environmental acquisition equipment, wherein the environmental impact data has a corresponding relation with the historical operation data;
specifically, the environmental impact data is related data of the influence of the local environment where the hydropower station unit is located on the unit operation, the environmental impact data and the historical operation data have a corresponding relation, and each historical operation data has the corresponding environmental data when the unit is operated. Wherein the environmental impact data comprises sediment content in a water area, upstream water level, downstream water level and the like. The unit operation environment is collected, so that analysis data are provided for the operation influence degree of the subsequent analysis environment on the unit.
Step S300: performing equipment characteristic identification of the hydropower station unit according to the environmental impact data and the historical operation data, and generating an equipment characteristic identification result;
specifically, the equipment affected by the environment in the running process of the hydroelectric generating set is identified by the environment influence data and the historical running data. Preferably, the data with the same influence on the unit operation is obtained from the environmental influence data, and corresponding influence historical operation data is obtained according to the corresponding relation between the environmental influence data and the historical operation data, so that the influence historical operation data is subjected to comparative analysis according to different influence factors, and the equipment affected by the environment is obtained. And determining the affected degree of the equipment, so as to obtain the equipment characteristic identification result. By identifying the equipment characteristics, a corresponding reference basis is provided for matching the equipment according to the real-time environment change.
Step S400: acquiring real-time power generation demand data, acquiring real-time environment data through the environment acquisition equipment, and inputting the real-time power generation demand data, the real-time environment data and the equipment characteristic identification result into a unit matching model to acquire a matching result;
specifically, the real-time power generation demand data is obtained according to a total power generation amount plan, the power generation amount demand at the current moment is obtained, and corresponding power generation index data including power generation amount, real-time load and the like is obtained according to the demand. The real-time environment data refer to real-time operation environment conditions of the hydroelectric generating set during operation, including upstream water level, downstream water level and the like. The unit matching model is a functional model for intelligently matching unit equipment according to real-time power generation requirements. And inputting the real-time power generation demand data, the real-time environment data and the equipment characteristic identification result into the unit matching model by taking the real-time power generation demand data, the real-time environment data and the equipment characteristic identification result as input data, and obtaining the matching result through intelligent model operation. The matching result is the most economical unit combination capable of meeting the real-time power generation requirement, the water head condition and the operation efficiency of each unit are comprehensively considered, and the load distribution is optimized, so that the optimal economic optimization of unit setting according to the matching result is realized.
Preferably, the historical power generation demand data, the historical environment data and the equipment characteristic identification result of the hydropower station unit are collected and used as training data, the convolutional neural network is trained to obtain the unit matching model, and then the unit matching model is trained to be converged according to the training data, so that the technical effect of efficiently outputting an accurate matching result is achieved.
Step S500: performing unit operation economic evaluation on the matching result to generate operation economic evaluation parameters;
specifically, the unit operation economic evaluation of the matching result refers to collecting the operation water head and the operation efficiency of the unit in the matching result, and performing the economic operation evaluation on the combination condition of the working unit. In the production process of the hydropower station, after the load of the power plant is given, the hydropower station is required to minimize the water consumption in order to achieve the purpose of energy and water conservation, so that the water consumption after the unit operation of the matching result can be evaluated, and the evaluation result is used as the operation economy evaluation parameter. Thereby realizing the aim of carrying out economic evaluation on the matching result.
Step S600: performing operation start-stop evaluation on the matching result to obtain operation start-stop evaluation parameters;
further, as shown in fig. 2, step S600 of the embodiment of the present application further includes:
step S610: acquiring operation data for starting operation equipment;
step S620: obtaining a startup time constraint parameter;
step S630: performing switching equipment constraint analysis through the starting time constraint parameters and the operation data to obtain switching equipment constraint analysis results;
step S640: and obtaining the operation start-stop evaluation parameters through the constraint analysis result of the switching equipment.
Specifically, after the operation economic condition of the matching result is evaluated, the operation start-stop evaluation is required to be performed on the matching result, so that the aim of comprehensively evaluating the matching result is fulfilled. And the operation start-stop evaluation is to evaluate the start-stop sequence of the unit in the matching result during operation. The operation start-stop evaluation parameters are obtained by evaluating the start-stop conditions of the unit with the matching result, and reflect whether the start-stop sequence of the unit operation is reasonable. The operation data are the operation parameter conditions of the unit when the unit in the matching result is started, including starting power, rated voltage, rated current and the like. The starting time constraint parameter is the minimum starting time of the unit equipment in the matching result when starting. And comprehensively analyzing conditions required by the switching equipment according to the starting time constraint parameters and the operation data, thereby obtaining constraint analysis results of the switching equipment. The constraint analysis result of the switch equipment reflects the conditions required when the unit equipment is started and closed according to the matching result. And obtaining the condition of resources which are required to be consumed when the hydropower station unit equipment is started and related according to the unit combination and the start-stop sequence in the matching result from the analysis result according to the constraint analysis result of the switch equipment, and obtaining the operation start-stop evaluation parameter according to the obtained condition of the resources. Therefore, the technical effect of evaluating the running start-stop condition of the matching result is achieved.
Further, as shown in fig. 3, step S640 in the embodiment of the present application further includes:
step S641: obtaining an initial continuous operation constraint time parameter of unit equipment;
step S642: performing time optimization adjustment of the initial continuous operation constraint time parameter through the equipment characteristic identification result to obtain an adjusted continuous operation constraint time parameter;
step S643: performing operation analysis of the equipment through the adjustment of the continuous operation constraint time parameter and the operation data, and generating an equipment operation constraint analysis result according to the operation analysis result;
step S644: and obtaining the operation start-stop evaluation parameters through the equipment operation constraint analysis result and the switching equipment constraint analysis result.
Specifically, the initial continuous operation constraint time parameter of the unit equipment refers to the lowest time of the unit equipment when generating power, wherein the lowest time is the time of starting continuous operation. And correcting the initial continuous operation constraint time parameter according to the influence degree of the environment reflected by the equipment characteristic identification result on the unit operation condition to obtain the time conforming to the current operation environment, namely, the adjustment continuous operation constraint time parameter. And analyzing the operation condition of the equipment according to the parameter of the regulated continuous operation constraint time and the operation data, and analyzing from the two angles of the initial continuous operation time and the operation condition, thereby obtaining the equipment operation constraint analysis result reflecting the necessary condition required by the operation of the hydropower station unit equipment. In the running process of the hydropower station unit, because the variables are many, on the premise of meeting the power generation requirement, the starting time and the conditions of the hydropower station unit are used for evaluating, and the unit combination problem can be evaluated integrally.
Step S700: and screening the matching result through the operation economy evaluation parameters and the operation start-stop evaluation parameters to obtain a unit operation scheme.
Further, step S700 of the embodiment of the present application further includes:
step S710: obtaining historical demand data;
step S720: carrying out demand data updating prediction through the historical demand data to obtain predicted demand data;
step S730: carrying out demand fluctuation evaluation according to the predicted demand data and the real-time power generation demand data, and generating fluctuation evaluation constraint parameters;
step S740: and screening the matching result through the fluctuation evaluation constraint parameter, the operation economy evaluation parameter and the operation start-stop evaluation parameter to obtain a unit operation scheme.
Specifically, the historical demand data refers to power generation demand data of the hydropower station unit in a historical time period, and the historical demand data comprises historical power generation demand, historical water consumption demand and the like. And determining a demand law of the hydropower station according to the historical demand data, and predicting the future demand change condition of the demand data according to the historical demand data, so as to obtain the predicted demand data. The predicted demand data reflects the power generation demand change condition of the hydropower station unit. And obtaining the power generation demand change conditions of the hydropower station at the current moment and the future moment according to the predicted demand data and the real-time power generation demand data, and carrying out fluctuation evaluation on the demand change conditions according to specific data. Alternatively, the fluctuation evaluation is classified into three classes, class a, class B, and class C, according to the degree of change in the power generation demand. And obtaining the fluctuation evaluation constraint parameter according to the fluctuation evaluation result. And comprehensively evaluating the matching result of the hydropower station unit according to the fluctuation evaluation constraint parameter, the operation economy evaluation parameter and the operation start-stop evaluation parameter, and selecting the matching result with the highest evaluation as an operation scheme of the hydropower station unit according to the evaluation result. The unit operation scheme reflects the unit combination and start-stop sequence conditions during the operation of the hydropower station. Therefore, the technical effect of optimizing the running condition of the hydropower station unit and improving the running economic benefit is achieved.
Further, step S700 of the embodiment of the present application further includes:
step S750: setting initial planning periodic distribution weights, wherein the initial planning periodic distribution weights comprise short-term periodic distribution weights and long-term periodic planning distribution weights;
step S760: obtaining periodic planning data, carrying out equipment selection influence analysis through the periodic planning data and the initial planning periodic distribution weight, and generating an equipment influence analysis result;
step S770: and screening the matching result through the equipment influence analysis result, the operation economy evaluation parameter and the operation start-stop evaluation parameter to obtain a unit operation scheme.
Specifically, during operation of the hydroelectric generating set, there are different power generation cycles, which may be, for example, half a year, one year, etc. The initial planning period distribution weight refers to determining the weight ratio situation of planning data in different planning periods in the process of equipment selection according to different planning periods. The initial planning periodic distribution weights are divided into short-term periodic distribution weights and long-term periodic planning distribution weights. The short-term periodic distribution weight refers to the weight condition occupied by the required equipment data when power generation is performed in a short time. The long-term period planning distribution weight refers to the weight condition occupied by equipment data required when power generation work is carried out for a long time. The cycle planning data are data related to power generation tasks of different power generation cycles, and comprise power generation capacity, power generation time, the number of planned units and the like. And according to the data in the period planning data, combining the initial planning period distribution weight, determining the influence degree of the period planning data when the equipment is selected, so that the equipment is selected, and obtaining the equipment influence analysis result. The device influence analysis result means that when the device is selected, short-term operation requirements are considered, and long-term operation requirements are combined to select the device. And meanwhile, the matching result is screened by considering the economic condition of the equipment in operation and the resource condition of the equipment in start-stop consumption in operation, so that the unit operation scheme with the most reasonable benefit is obtained.
Further, the operation optimizing system is communicatively connected to the device monitoring apparatus, and step S770 of the embodiment of the present application further includes:
step S771: real-time operation data monitoring of operation equipment is carried out through the equipment monitoring device, and a data monitoring result is obtained;
step S772: performing equipment operation evaluation on the data monitoring result and the equipment characteristic identification result to generate an equipment operation evaluation result;
step S773: generating adjustment equipment data according to the equipment operation evaluation result;
step S774: and adjusting the unit operation scheme based on the adjustment equipment data.
Further, step S773 of the embodiment of the present application further includes:
step S7731: performing operation trend analysis of the equipment according to the real-time environment data and the equipment characteristic identification result to generate an operation trend analysis result;
step S7732: performing consistency evaluation of the running state according to the running trend analysis result and the data monitoring result to obtain a consistency evaluation result;
step S7733: judging whether the consistency evaluation result meets a preset deviation threshold value or not;
step S7734: and when the consistency evaluation result meets the preset deviation threshold, generating the adjustment device data according to the corresponding device.
Specifically, the device monitoring device is used for monitoring real-time operation data of the running device in real time, and summarizing the monitoring results to obtain the data monitoring results. The data monitoring results are in one-to-one correspondence with the monitoring time, and can reflect the real-time operation condition of the operation equipment. The data monitoring result comprises operation parameter data of the equipment and data obtained after the operation state of the equipment is evaluated. And correspondingly matching the data in the data monitoring result with the equipment characteristic identification result, judging whether the running condition of the real-time equipment is affected by the environment, and performing running evaluation on the equipment so as to obtain the equipment running evaluation result. And the equipment operation evaluation result is obtained by determining items with unqualified equipment operation conditions in the monitoring data, so as to obtain adjustment equipment data for adjusting the equipment to a normal operation state. The device data can be used for quantifying the scale of device adjustment, so that the device adjustment is more accurate, and the accuracy of the operation scheme optimization adjustment is improved.
Specifically, according to the real-time environment data and the device characteristic identification result, the operation environment of the operation device is collected, according to the current environment information, the influence possibly suffered in the operation process of the device is determined, and further the operation development trend of the device is predicted and analyzed, so that the operation trend analysis result is obtained. And comparing the operation trend analysis result with the data monitoring result, and determining whether the trend of the data in the data monitoring result is consistent with the trend of the data change in the operation trend analysis result, thereby obtaining the consistency evaluation result. Since the analysis result of the operation trend is the prediction of the operation data of the equipment, the operation result of the equipment has some access to the actual operation result of the equipment, but the trend of the data change is consistent, and the deviation is not excessive. The preset deviation threshold is defined as deviation between data, and is set by a worker at his own, and is not limited herein. Further, whether the device is to be adjusted is obtained by judging whether the deviation of the data in the consistency evaluation result is within the range of the preset deviation threshold value. When the data meeting the preset deviation threshold exists in the consistency evaluation result, screening the data to find out corresponding equipment, thereby obtaining the data of the adjusting equipment according to the deviation condition. Therefore, the purpose of determining the deviation condition of the unit operation is achieved, and the technical effect of maximizing the unit operation benefit is achieved.
In summary, the hydropower station unit operation optimization method provided by the application has the following technical effects:
according to the method, the basic operation condition of the hydropower station is obtained by acquiring data of historical operation conditions of the hydropower station unit, then the environmental data influencing the operation of the hydropower station is acquired through the environmental acquisition equipment, the environmental influence data and the historical operation data are guaranteed to be in one-to-one correspondence according to the time of the data, therefore, the purpose of mastering the operation condition of the hydropower station is achieved, further, the equipment subjected to the environmental influence in the hydropower station unit is subjected to characteristic identification according to the environmental influence data and the historical operation data, then the power generation requirement and the operation environment of the hydropower station are respectively acquired in real time, the real-time power generation requirement data, the real-time environmental data and the equipment characteristic identification result are used as input data, the input unit matching model is input, the intelligent matching of the model is carried out, the purpose of intelligently selecting the unit is achieved, the matching result is obtained, the economic evaluation of the unit operation is carried out according to the matching result, the economic evaluation of the operation is obtained, then the start-stop condition of the unit is evaluated, the operation start-stop evaluation parameter is obtained, and the matching result is comprehensively considered, and the economic operation evaluation parameter and the operation start-stop evaluation parameter are further. The technical effects of obtaining the operation scheme of the hydropower station unit with high efficiency and intelligence, optimizing the operation condition of the hydropower station and improving the operation quality are achieved.
Example two
Based on the same inventive concept as the hydropower station unit operation optimization method in the foregoing embodiment, as shown in fig. 4, the present application further provides a hydropower station unit operation optimization system, where the system includes:
the operation data acquisition module 11 is used for acquiring historical operation data of the hydropower station unit;
the environment data acquisition module 12 is configured to obtain environment impact data through an environment acquisition device, where the environment impact data has a corresponding relationship with the historical operation data;
the identification result generation module 13 is used for carrying out equipment characteristic identification of the hydropower station unit according to the environmental impact data and the historical operation data to generate an equipment characteristic identification result;
the matching result obtaining module 14 is configured to obtain real-time power generation demand data, collect real-time environmental data through the environmental collection device, and input the real-time power generation demand data, the real-time environmental data and the device feature identification result into a unit matching model to obtain a matching result;
the operation economy evaluation module 15 is used for performing unit operation economy evaluation on the matching result by the operation economy evaluation module 15 to generate operation economy evaluation parameters;
the evaluation parameter obtaining module 16, wherein the evaluation parameter obtaining module 16 is used for performing operation start-stop evaluation on the matching result to obtain operation start-stop evaluation parameters;
the operation scheme obtaining module 17 is configured to obtain a unit operation scheme by performing the matching result screening according to the operation economic evaluation parameter and the operation start-stop evaluation parameter.
Further, the system further comprises:
the operation data acquisition unit is used for acquiring operation data for starting operation equipment;
the time constraint parameter obtaining unit is used for obtaining a starting time constraint parameter;
the equipment constraint analysis unit is used for carrying out switching equipment constraint analysis through the starting time constraint parameters and the operation data to obtain a switching equipment constraint analysis result;
and the start-stop evaluation parameter obtaining unit is used for obtaining the operation start-stop evaluation parameter through the constraint analysis result of the switching equipment.
Further, the system further comprises:
the continuous constraint parameter obtaining unit is used for obtaining initial continuous operation constraint time parameters of the unit equipment;
the time optimization adjusting unit is used for performing time optimization adjustment on the initial continuous operation constraint time parameter through the equipment characteristic identification result to obtain an adjustment continuous operation constraint time parameter;
the operation analysis unit is used for carrying out operation analysis on the equipment through the adjustment of the continuous operation constraint time parameter and the operation data, and generating an equipment operation constraint analysis result according to the operation analysis result;
the operation evaluation obtaining unit is used for obtaining the operation start-stop evaluation parameters through the equipment operation constraint analysis result and the switching equipment constraint analysis result.
Further, the system further comprises:
the system comprises a historical demand data acquisition unit, a storage unit and a storage unit, wherein the historical demand data acquisition unit is used for acquiring historical demand data;
the predicted demand data obtaining unit is used for carrying out demand data updating prediction through the historical demand data to obtain predicted demand data;
the fluctuation evaluation parameter generation unit is used for carrying out demand fluctuation evaluation according to the predicted demand data and the real-time power generation demand data to generate fluctuation evaluation constraint parameters;
and the matching result screening unit is used for screening the matching result through the fluctuation evaluation constraint parameter, the operation economy evaluation parameter and the operation start-stop evaluation parameter to obtain a unit operation scheme.
Further, the system further comprises:
the distribution weight setting unit is used for setting initial planning period distribution weights, wherein the initial planning period distribution weights comprise short-term period distribution weights and long-term period planning distribution weights;
the influence analysis unit is used for obtaining periodic planning data, carrying out equipment selection influence analysis through the periodic planning data and the initial planning periodic distribution weight, and generating equipment influence analysis results;
the unit operation scheme obtaining unit is used for screening the matching result through the equipment influence analysis result, the operation economy evaluation parameter and the operation start-stop evaluation parameter to obtain a unit operation scheme.
Further, the system further comprises:
the data monitoring unit is used for monitoring real-time operation data of operation equipment through the equipment monitoring device to obtain a data monitoring result;
the operation evaluation result generation unit is used for performing equipment operation evaluation on the data monitoring result and the equipment characteristic identification result to generate an equipment operation evaluation result;
the adjusting device data generating unit is used for generating adjusting device data according to the device operation evaluation result;
and the operation scheme adjusting unit is used for adjusting the unit operation scheme based on the adjusting equipment data.
Further, the system further comprises:
the operation trend analysis unit is used for carrying out operation trend analysis on the equipment according to the real-time environment data and the equipment characteristic identification result and generating an operation trend analysis result;
the consistency evaluation unit is used for carrying out consistency evaluation of the running state according to the running trend analysis result and the data monitoring result to obtain a consistency evaluation result;
the consistency judging unit is used for judging whether the consistency evaluation result meets a preset deviation threshold value or not;
and the device data generation unit is used for generating the adjustment device data according to the corresponding device when the consistency evaluation result meets the preset deviation threshold value.
The embodiments in this specification are described in a progressive manner, and each embodiment focuses on the difference from the other embodiments, and the method and specific example for optimizing the operation of a hydropower station unit in the first embodiment of fig. 1 are equally applicable to the system for optimizing the operation of a hydropower station unit in this embodiment, and by the foregoing detailed description of the method for optimizing the operation of a hydropower station unit, those skilled in the art can clearly understand that the system for optimizing the operation of a hydropower station unit in this embodiment is not described in detail herein for brevity of the specification. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant points refer to the description of the method section.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (6)
1. A hydropower station unit operation optimization method, wherein the method is applied to an operation optimization system, the operation optimization system is in communication connection with an environment acquisition device, and the method comprises:
obtaining historical operation data of a hydropower station unit;
obtaining environmental impact data through the environmental acquisition equipment, wherein the environmental impact data has a corresponding relation with the historical operation data;
performing equipment characteristic identification of the hydropower station unit according to the environmental impact data and the historical operation data, and generating an equipment characteristic identification result;
acquiring real-time power generation demand data, acquiring real-time environment data through the environment acquisition equipment, and inputting the real-time power generation demand data, the real-time environment data and the equipment characteristic identification result into a unit matching model to acquire a matching result;
performing unit operation economic evaluation on the matching result to generate operation economic evaluation parameters;
performing operation start-stop evaluation on the matching result to obtain operation start-stop evaluation parameters;
screening the matching result through the operation economy evaluation parameters and the operation start-stop evaluation parameters to obtain a unit operation scheme;
the method further comprises the steps of:
acquiring operation data for starting operation equipment;
obtaining a startup time constraint parameter;
performing switching equipment constraint analysis through the starting time constraint parameters and the operation data to obtain switching equipment constraint analysis results;
obtaining the operation start-stop evaluation parameters through the constraint analysis result of the switching equipment;
obtaining an initial continuous operation constraint time parameter of unit equipment;
performing time optimization adjustment of the initial continuous operation constraint time parameter through the equipment characteristic identification result to obtain an adjusted continuous operation constraint time parameter;
performing operation analysis of the equipment through the adjustment of the continuous operation constraint time parameter and the operation data, and generating an equipment operation constraint analysis result according to the operation analysis result;
and obtaining the operation start-stop evaluation parameters through the equipment operation constraint analysis result and the switching equipment constraint analysis result.
2. The method of claim 1, wherein the method comprises:
obtaining historical demand data;
carrying out demand data updating prediction through the historical demand data to obtain predicted demand data;
carrying out demand fluctuation evaluation according to the predicted demand data and the real-time power generation demand data, and generating fluctuation evaluation constraint parameters;
and screening the matching result through the fluctuation evaluation constraint parameter, the operation economy evaluation parameter and the operation start-stop evaluation parameter to obtain a unit operation scheme.
3. The method of claim 1, wherein the method comprises:
setting initial planning periodic distribution weights, wherein the initial planning periodic distribution weights comprise short-term periodic distribution weights and long-term periodic planning distribution weights;
obtaining periodic planning data, carrying out equipment selection influence analysis through the periodic planning data and the initial planning periodic distribution weight, and generating an equipment influence analysis result;
and screening the matching result through the equipment influence analysis result, the operation economy evaluation parameter and the operation start-stop evaluation parameter to obtain a unit operation scheme.
4. The method of claim 1, wherein the operation optimization system is communicatively coupled to an equipment monitoring device, the method comprising:
real-time operation data monitoring of operation equipment is carried out through the equipment monitoring device, and a data monitoring result is obtained;
performing equipment operation evaluation on the data monitoring result and the equipment characteristic identification result to generate an equipment operation evaluation result;
generating adjustment equipment data according to the equipment operation evaluation result;
and adjusting the unit operation scheme based on the adjustment equipment data.
5. The method of claim 4, wherein the method comprises:
performing operation trend analysis of the equipment according to the real-time environment data and the equipment characteristic identification result to generate an operation trend analysis result;
performing consistency evaluation of the running state according to the running trend analysis result and the data monitoring result to obtain a consistency evaluation result;
judging whether the consistency evaluation result meets a preset deviation threshold value or not;
and when the consistency evaluation result meets the preset deviation threshold, generating the adjustment device data according to the corresponding device.
6. A hydroelectric power generating set operation optimization system, the system comprising:
the operation data acquisition module is used for acquiring historical operation data of the hydropower station unit;
the environment data acquisition module is used for acquiring environment influence data through environment acquisition equipment, wherein the environment influence data has a corresponding relation with the historical operation data;
the identification result generation module is used for carrying out equipment characteristic identification of the hydropower station unit according to the environmental impact data and the historical operation data to generate an equipment characteristic identification result;
the matching result obtaining module is used for obtaining real-time power generation demand data, collecting real-time environment data through the environment collecting equipment, and inputting the real-time power generation demand data, the real-time environment data and the equipment characteristic identification result into a unit matching model to obtain a matching result;
the operation economy evaluation module is used for performing unit operation economy evaluation on the matching result and generating operation economy evaluation parameters;
the evaluation parameter obtaining module is used for performing operation start-stop evaluation on the matching result to obtain operation start-stop evaluation parameters;
the operation scheme obtaining module is used for screening the matching result through the operation economic evaluation parameter and the operation start-stop evaluation parameter to obtain a unit operation scheme;
the operation data acquisition unit is used for acquiring operation data for starting operation equipment;
the time constraint parameter obtaining unit is used for obtaining a starting time constraint parameter;
the equipment constraint analysis unit is used for carrying out switching equipment constraint analysis through the starting time constraint parameters and the operation data to obtain a switching equipment constraint analysis result;
the start-stop evaluation parameter obtaining unit is used for obtaining the operation start-stop evaluation parameter through the constraint analysis result of the switching equipment;
the continuous constraint parameter obtaining unit is used for obtaining initial continuous operation constraint time parameters of the unit equipment;
the time optimization adjusting unit is used for performing time optimization adjustment on the initial continuous operation constraint time parameter through the equipment characteristic identification result to obtain an adjustment continuous operation constraint time parameter;
the operation analysis unit is used for carrying out operation analysis on the equipment through the adjustment of the continuous operation constraint time parameter and the operation data, and generating an equipment operation constraint analysis result according to the operation analysis result;
the operation evaluation obtaining unit is used for obtaining the operation start-stop evaluation parameters through the equipment operation constraint analysis result and the switching equipment constraint analysis result.
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