CN115940273A - Offshore new energy grid connection and scheduling operation management and control method and system - Google Patents
Offshore new energy grid connection and scheduling operation management and control method and system Download PDFInfo
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Abstract
The invention provides a control method and a control system for offshore new energy grid connection and dispatching operation, and relates to the technical field of data processing. At present, the power scheduling scheme of the wind generating set is unreasonable in the operation process of the offshore wind generating set, so that the grid connection reliability of offshore wind power generation is low, and the effective utilization of the offshore wind power generation is not facilitated; according to the historical output power of the wind turbine generator and the real-time output power of the wind turbine generator, performing wind turbine generator safety prediction to obtain a wind turbine generator safety prediction result; generating a wind turbine generator power distribution strategy based on the offshore wind power prediction result and the wind turbine generator safety prediction result; and optimizing through a grid-connected scheduling operation strategy so as to carry out grid-connected power output regulation and wind generating set power distribution regulation. The offshore wind power grid-connected reliability and the offshore wind power generation utilization rate are improved, and therefore the technical effect of stable and reliable operation of an offshore wind farm is guaranteed.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a control method and a control system for offshore new energy grid connection and dispatching operation.
Background
With the continuous increase of the demand for electric power with the social development, and the generation of electric power based on non-renewable energy has the problems of high pollution and high economic cost. Thus, the search for clean renewable energy sources to reduce the power generation cost and environmental pollution becomes an important energy development direction in the new century.
The proportion of offshore wind power generation in grid connection is increased rapidly due to rapid technical development, however, wind power is influenced by natural weather, the characteristic of fluctuation exists, wind power prediction is difficult to perform, and meanwhile, the risk of interference on grid connection power grid system operation exists in the fluctuation, so how to perform scheduling control of offshore wind power generation is realized, and the improvement of offshore wind energy utilization rate and energy conversion rate of offshore wind energy becomes an important factor which hinders the development of offshore wind power industry at present.
The technical problems that the power scheduling scheme of the wind generating set is unreasonable in the operation process of the offshore wind generating set, so that the grid connection reliability of offshore wind power generation is low and the offshore wind power generation is not favorably and effectively utilized exist in the prior art.
Disclosure of Invention
The application provides an offshore new energy grid connection and scheduling operation management and control method and system, which are used for solving the technical problems that in the prior art, the power scheduling scheme of a wind generating set is unreasonable in the operation process of an offshore wind generating set, so that the reliability of offshore wind power generation grid connection is low, and the offshore wind generating set is not beneficial to effective utilization of offshore wind power generation.
In view of the above problems, the application provides a control method and system for offshore new energy grid connection and scheduling operation.
In a first aspect of the application, a control method for offshore new energy grid connection and scheduling operation is provided, and the method includes: obtaining environmental data of a target offshore wind farm through an NWP (non-wind-power-plant) system, wherein the environmental data comprise historical wind speed data, real-time wind speed data, historical wind direction data, real-time wind direction data, historical weather data and real-time weather data; obtaining wind turbine generator configuration information of the target offshore wind farm, and obtaining a plurality of wind turbines forming the target offshore wind farm based on the wind turbine generator configuration information; carrying out offshore wind power prediction according to the environmental data to obtain an offshore wind power prediction result; acquiring output power of the wind turbine generator, wherein the output power comprises historical output power of the wind turbine generator and real-time output power of the wind turbine generator; carrying out wind turbine generator safety prediction based on the historical output power of the wind turbine generator and the real-time output power of the wind turbine generator to obtain a wind turbine generator safety prediction result; generating a wind turbine power distribution strategy based on the offshore wind power prediction result and the wind turbine safety prediction result; optimizing the wind turbine generator power distribution strategy based on a grid-connected scheduling operation strategy, and generating a grid-connected scheduling reference instruction; and performing grid-connected power output regulation and wind generating set power distribution regulation based on the grid-connected scheduling reference instruction.
In a second aspect of the present application, a marine new energy grid connection and scheduling operation management and control system is provided, the system includes: the system comprises an environmental data acquisition module, a data processing module and a data processing module, wherein the environmental data acquisition module is used for acquiring environmental data of a target offshore wind farm through an NWP (non-Newton P) system, and the environmental data comprises historical wind speed data, real-time wind speed data, historical wind direction data, real-time wind direction data, historical weather data and real-time weather data; an electric field composition obtaining module for obtaining wind turbine composition information of the target offshore wind farm, and obtaining a plurality of wind turbines constituting the target offshore wind farm based on the wind turbine composition information; the power prediction execution module is used for carrying out offshore wind power prediction according to the environment data to obtain an offshore wind power prediction result; the output power obtaining module is used for obtaining the output power of the wind turbine generator, and the output power comprises the historical output power of the wind turbine generator and the real-time output power of the wind turbine generator; the unit safety analysis module is used for carrying out wind turbine unit safety prediction based on the historical output power of the wind turbine unit and the real-time output power of the wind turbine unit to obtain a wind turbine unit safety prediction result; the power distribution determination module is used for generating a wind turbine power distribution strategy based on the offshore wind power prediction result and the wind turbine safety prediction result; the scheduling instruction generating module is used for optimizing the wind turbine generator power distribution strategy based on a grid-connected scheduling operation strategy and generating a grid-connected scheduling reference instruction; and the scheduling instruction execution module is used for carrying out grid-connected power output adjustment and wind generating set power distribution adjustment based on the grid-connected scheduling reference instruction.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
according to the method, the environmental data of the target offshore wind farm are obtained, wherein the environmental data comprise historical wind speed data, real-time wind speed data, historical wind direction data, real-time wind direction data and historical weather data and real-time weather data, and data references are provided for follow-up wind turbine unit outage judgment and wind turbine unit output power prediction; obtaining wind turbine generator formation information of the target offshore wind farm, and obtaining a plurality of wind turbines forming the target offshore wind farm based on the wind turbine generator formation information; carrying out offshore wind power prediction according to the environmental data to obtain an offshore wind power prediction result; acquiring output power of the wind turbine generator, wherein the output power comprises historical output power of the wind turbine generator and real-time output power of the wind turbine generator; performing wind turbine safety prediction based on the historical output power of the wind turbine and the real-time output power of the wind turbine to obtain a wind turbine safety prediction result, providing reference information for subsequently judging whether the wind turbine is overhauled and shut down, and providing adjustment reference for wind turbine power distribution adjustment; generating a wind turbine power distribution strategy based on the offshore wind power prediction result and the wind turbine safety prediction result; optimizing the wind turbine generator power distribution strategy based on a grid-connected scheduling operation strategy, and generating a grid-connected scheduling reference instruction; and performing grid-connected power output regulation and wind generating set power distribution regulation based on the grid-connected scheduling reference instruction. The technical effects of improving the utilization rate of offshore wind power generation and improving the grid-connected operation reliability of offshore wind power are achieved, so that the stable and reliable operation of an offshore wind power plant is guaranteed, and the economic benefit and the electric power production value of offshore wind power generation are improved.
Drawings
FIG. 1 is a schematic flow diagram of the present invention;
FIG. 2 is a schematic flow chart of obtaining an offshore wind power prediction result according to the present invention;
FIG. 3 is a schematic flow diagram illustrating a process for generating a wind turbine generator power allocation strategy according to the present invention;
fig. 4 is a schematic structural diagram of the present invention.
In the figure: 11. the system comprises an environmental data acquisition module, a 12 electric field composition acquisition module, a 13 power prediction execution module, a 14 output power acquisition module, a 15 unit safety analysis module, a 16 power distribution determination module, a 17 scheduling instruction generation module, a 18 scheduling instruction execution module.
Detailed Description
The application provides an offshore new energy grid connection and scheduling operation management and control method and system, which are used for solving the technical problems that in the prior art, the power scheduling scheme of a wind generating set is unreasonable in the operation process of an offshore wind generating set, so that the reliability of offshore wind power generation grid connection is low, and the offshore wind generating set is not beneficial to effective utilization of offshore wind power generation.
In view of the above technical problems, the technical solution provided by the present application has the following general idea:
and predicting the current output power of the offshore wind farm based on the historical environmental data and the historical power data of the offshore wind farm, and performing offshore wind farm power distribution adjustment and wind farm operation and maintenance management by combining judgment of the safety evaluation result of the wind turbine generator of the offshore wind farm. The method and the device realize scientific dispatching and distribution of offshore wind power, improve the utilization rate of offshore wind power generation, and improve the grid-connected operation reliability of offshore wind power, thereby ensuring the stable and reliable operation of an offshore wind farm, and improving the economic benefit and the power production value of offshore wind power generation.
Example one
As shown in fig. 1, the application provides a control method for offshore new energy grid connection and dispatching operation, the method is applied to an offshore new energy grid connection and dispatching operation control system, the system is in communication connection with an NWP system, and the method includes:
s100, obtaining environmental data of a target offshore wind farm through an NWP (non-Newton P Power plant) system, wherein the environmental data comprise historical wind speed data, real-time wind speed data, historical wind direction data, real-time wind direction data, historical weather data and real-time weather data;
s200, acquiring wind turbine generator composition information of the target offshore wind farm, and acquiring a plurality of wind turbines forming the target offshore wind farm based on the wind turbine generator composition information;
specifically, in this embodiment, the target offshore wind farm is any offshore wind farm that is constructed and used after grid-connected power generation and grid system connection is started, and the offshore wind farm realizes power generation by controlling and operating a plurality of wind turbines. The NWP system is a numerical weather forecast system. In this embodiment, building information including, but not limited to, building coordinates and wind turbines for the target offshore wind farm is obtained.
Based on the building coordinate positioning of the target offshore wind farm, traversing the NWP system to acquire environment data of the target offshore wind farm, wherein the environment data comprises historical environment data and real-time environment data, and acquiring historical wind speed data and real-time wind speed data, historical wind direction data and real-time wind direction data, historical weather data and real-time weather data of the target offshore wind farm. And obtaining a plurality of wind turbines which run to generate electricity in the target offshore wind farm according to the building information formed by the wind turbines of the target offshore wind farm.
S300, carrying out offshore wind power prediction according to the environment data to obtain an offshore wind power prediction result;
further, as shown in fig. 2, the offshore wind power prediction is performed according to the environmental data to obtain an offshore wind power prediction result, and the method provided by the present application further includes step S300:
s310, obtaining historical power data of the target offshore wind farm;
s320, generating a time sequence label according to the time sequence information of the environment data;
s330, labeling the historical wind speed data, the historical wind direction data, the historical weather data and the historical power data based on the time sequence label to obtain the historical wind speed-wind direction-weather-power data with the time sequence label having consistency;
s340, constructing an offshore wind power prediction model by taking wind speed as a first coordinate axis, wind direction as a second coordinate axis and weather as a third coordinate axis;
s350, inputting the historical wind speed-wind direction-weather-power data into the offshore wind power prediction model for model training, and obtaining the offshore wind power prediction model with each group of wind speed-wind direction-weather having corresponding historical power data;
and S360, inputting the real-time wind speed data, the real-time wind direction data and the real-time weather data into the offshore wind power prediction model to obtain the offshore wind power prediction result.
Specifically, it should be understood that the environmental data obtained based on the NWP system includes wind speed, wind direction and weather data, and the environmental data has a mark of obtaining time, the historical power data is generated based on the output power of the historical wind power generation of the target offshore wind farm, and the historical power data also has a mark of power output time, so in this embodiment, a time sequence data set of the historical wind speed data, the historical wind direction data, the historical weather data and the historical power data is constructed based on the time mark, historical wind speed-wind direction-weather-power data with a time sequence label consistency is obtained, and each different set of wind speed data, wind direction data and weather data has corresponding historical power data.
And taking wind speed as a first coordinate axis, wind direction as a second coordinate axis and weather as a third coordinate axis, constructing an offshore wind power prediction model, inputting the historical wind speed-wind direction-weather-power data into the offshore wind power prediction model for model training, and obtaining the offshore wind power prediction model with corresponding offshore wind farm output power data at any wind speed-wind direction-weather.
And inputting the real-time wind speed data, the real-time wind direction data and the real-time weather data into the offshore wind power prediction model, and obtaining output power data of a certain offshore wind power plant corresponding to the real-time wind direction data, the real-time wind speed data and the real-time weather data as the offshore wind power prediction result.
According to the method, the offshore wind power prediction model is constructed and trained by acquiring the historical environmental data and the historical power data of the offshore wind farm, so that the offshore wind farm output power prediction result which is accurate and reliable is obtained, and the scientific scheduling of the wind turbine power in the target offshore wind farm is facilitated by subsequent reference.
S400, acquiring output power of the wind turbine generator, wherein the output power comprises historical output power of the wind turbine generator and real-time output power of the wind turbine generator;
specifically, it should be appreciated that since the target offshore wind farm achieves wind power production based on operation of a plurality of wind turbines, the historical output power of the target offshore wind farm is substantially the sum of the historical output powers of the plurality of wind turbines.
In this embodiment, historical output power of a plurality of wind turbines is acquired based on historical data of the target offshore wind farm, real-time output power information of the plurality of wind turbines is acquired based on real-time operating conditions of the plurality of wind turbines, and multi-dimensional reference data is provided for subsequent wind turbine safety prediction and evaluation.
S500, performing wind turbine safety prediction based on the historical output power of the wind turbine and the real-time output power of the wind turbine to obtain a wind turbine safety prediction result;
further, based on the historical output power of the wind turbine and the real-time output power of the wind turbine, the safety prediction of the wind turbine is performed to obtain a safety prediction result of the wind turbine, and the method provided by the application further comprises the following steps of S500:
s510, constructing a wind turbine generator safety evaluation model based on the Mahalanobis distance measurement;
s520, obtaining historical overhaul information of a plurality of wind generation sets of the target offshore wind farm;
s530, screening the historical output power of the wind turbine generator by combining the historical overhaul information of the wind turbine generator to obtain historical health data of the wind turbine generator;
s540, training the wind turbine safety assessment model based on the historical health data of the wind turbine to obtain a wind turbine standard residual set;
s550, calculating according to the offshore wind power prediction result and the real-time output power of the wind turbine to obtain a real-time residual value of the wind turbine;
s560, calculating according to the standard residual error set and the real-time residual error value of the wind turbine generator to obtain the Mahalanobis distance measurement of the wind turbine generator;
and S570, generating a wind turbine safety prediction result according to the Mahalanobis distance measurement of the wind turbine.
Specifically, it should be understood that the stability of the grid-connected output power of the offshore wind farm to the grid system depends on the stability of the power output of each wind turbine constituting the offshore wind farm, that is, the stability of the power generation operation of the wind turbines.
Therefore, in the embodiment, the power distribution among the wind turbines is adjusted by analyzing the health states of the wind turbines forming the target offshore wind farm, so that the interference of offshore new energy grid connection on the operation stability of the original power grid system is reduced.
In this embodiment, historical overhaul information of a plurality of wind turbines of the target offshore wind farm is obtained, and when the wind turbines are overhauled, the wind turbines to be overhauled are in an abnormal operation state, so that the historical output power of the wind turbines is screened by combining the historical overhaul information of the wind turbines, the historical abnormal output power data of the wind turbines is screened, and the historical health data of the wind turbines, which truly reflects the operation capacity of the wind turbines, is obtained.
The mahalanobis distance has the characteristic of reflecting the similarity between sample sets, the safety assessment prediction of the wind turbine in the target wind power plant is carried out based on the offshore wind power prediction model and the mahalanobis distance, the wind turbine safety assessment model is built, the wind turbine safety assessment model is trained based on the historical health data of the wind turbine, the real-time output power of the wind turbine and the offshore wind power plant predicted output power obtained based on the offshore wind power prediction model, the building and training method of the wind turbine safety assessment model is not limited, and the model building and training can be carried out according to the actual requirements of wind plant workers. Inputting historical health data of the wind turbine generator and the predicted output power of the offshore wind farm into the trained safety evaluation model of the wind turbine generator to obtain the standard residual set of the wind turbine generator.
Inputting the prediction result of the offshore wind power and the real-time output power of the wind turbine into the trained safety assessment model of the wind turbine to obtain the real-time residual value of the wind turbine. And calculating to obtain mahalanobis distance measurement of the wind turbine generator according to the standard residual error set and the real-time residual error value of the wind turbine generator, wherein the mahalanobis distance measurement of the wind turbine generator is larger, which indicates that the operation safety degree of the corresponding wind turbine generator is lower and the output power of the actual power generation operation is lower, and conversely, the mahalanobis distance measurement of the wind turbine generator is smaller, which indicates that the operation safety degree of the corresponding wind turbine generator is higher and the bearable power generation operation output power of the wind turbine generator is close to the output power requirement of the wind turbine generator during design and construction. And generating a safety prediction result of the wind turbine generator according to the Mahalanobis distance measurement of the wind turbine generator.
According to the method, the safety assessment model of the wind turbine generator is established by introducing the Mahalanobis distance measurement, the operation safety assessment of the wind turbine generator is carried out based on the historical output power and the real-time output power of the wind turbine generator, the technical effect of accurately carrying out the operation safety assessment of the wind turbine generator is achieved, and meanwhile, the Mahalanobis distance measurement of the wind turbine generator obtained through calculation can be used for the follow-up power scheduling reference of the wind turbine generator.
Further, generating a safety prediction result of the wind turbine according to the mahalanobis distance measurement of the wind turbine, where step S570 of the method provided by the present application further includes:
s571, presetting a Mahalanobis distance measurement threshold value of the wind turbine;
s572, when the Mahalanobis distance measurement of the wind turbine generator is higher than the Mahalanobis distance measurement threshold value of the wind turbine generator, carrying out operation and maintenance marking on the wind turbine generator to obtain an operation and maintenance marked wind turbine generator;
s573, when the Mahalanobis distance measurement of the wind turbine generator falls into the Mahalanobis distance measurement threshold value of the wind turbine generator, carrying out operation marking on the wind turbine generator to obtain an operation marked wind turbine generator;
and S574, generating a wind turbine generator safety prediction result according to the operation and maintenance marking wind turbine generator and the operation marking wind turbine generator.
Specifically, in this embodiment, the mahalanobis distance measurement of the wind turbine generator reflects the operation safety level of the corresponding wind turbine generator, and when the mahalanobis distance of the wind turbine generator is too large, it indicates that the wind turbine generator currently has a defect that it is not suitable for continuing the power generation operation.
In the embodiment, the mahalanobis distance measurement threshold value of the wind turbine is preset according to the working experience of a scheduling worker of a wind power plant, the wind turbine in the mahalanobis distance measurement threshold value of the wind turbine is a wind turbine capable of continuously operating, and the wind turbine outside the mahalanobis distance measurement threshold value of the wind turbine is a wind turbine which needs to be overhauled in time to avoid reversible or irreversible mechanical damage to the overload operation of the wind turbine.
And carrying out operation and maintenance marking on the wind turbine generators with the Mahalanobis distance measurement of the wind turbine generators higher than the Mahalanobis distance measurement threshold value of the wind turbine generators to obtain a plurality of operation and maintenance marked wind turbine generators. Carrying out power output suspension maintenance on a plurality of operation and maintenance marked wind turbine generators; and carrying out operation marking on the wind turbine generator with the Mahalanobis distance measurement of the wind turbine generator falling within the Mahalanobis distance measurement threshold value of the wind turbine generator to obtain an operation marking wind turbine generator, and generating a safety prediction result of the wind turbine generator according to the operation and maintenance marking wind turbine generator and the operation marking wind turbine generator.
According to the method, the mahalanobis distance measurement threshold value of the wind turbine is preset, the operation and maintenance and the operation mark of the wind turbine are achieved on the basis of analyzing and determining the safe operation evaluation of the wind turbine, so that the wind turbine is overhauled in advance, the wind turbine operation fault is prevented, and the service life and the service effectiveness of the wind turbine are improved.
S600, generating a wind turbine power distribution strategy based on the offshore wind power prediction result and the wind turbine safety prediction result;
further, as shown in fig. 3, a wind turbine power distribution strategy is generated based on the offshore wind turbine power prediction result and the wind turbine safety prediction result, and step S600 of the method provided by the present application further includes:
s610, obtaining the Mahalanobis distance measurement of a plurality of wind generation sets of a plurality of operation mark wind generation sets based on the safety prediction result of the wind generation sets;
s620, carrying out normalization processing based on the Mahalanobis distance measurement of the wind turbine generators to obtain a normalization processing result;
s630, performing weight distribution according to the normalization processing result to obtain weight distribution results of the operation mark wind generation sets;
and S640, generating the wind turbine generator power distribution strategy based on the weight distribution result and the offshore wind power prediction result, and distributing the output power of the wind turbine generators to obtain a wind turbine generator output power distribution result.
Specifically, in this embodiment, mahalanobis distance metrics corresponding to a plurality of wind turbines constituting the offshore wind farm are obtained according to step S500, and the mahalanobis distance metrics of the plurality of wind turbines of the operation marker wind turbines are screened out based on the result of the safety prediction of the wind turbines.
And normalizing the Mahalanobis distance measurement of the plurality of wind generation sets with the operation marks, and performing weight distribution according to the normalization processing result to obtain the weight distribution result of the plurality of wind generation sets with the operation marks. And subtracting the weight distribution result of each operation mark wind turbine generator from 1 to obtain the output power weight distribution result of each operation mark wind turbine generator.
And generating a wind turbine generator power distribution strategy containing the output power distribution of each operation mark wind turbine generator based on the multiplication of the output power weight distribution result and the offshore wind power prediction result, and distributing the output power of a plurality of wind turbine generators to obtain the wind turbine generator output power distribution result.
In the embodiment, the wind turbines are screened out according to the Mahalanobis distance measurement of the wind turbines, the operating load of the wind turbines is determined and the output power is scheduled and distributed by combining the Mahalanobis distance measurement, and compared with the average distribution of the output power in the prior art, the technical effect of improving the scientificity of the scheduling and distribution of the output power of the wind turbines is achieved.
S700, optimizing the power distribution strategy of the wind turbine generator based on a grid-connected dispatching operation strategy to generate a grid-connected dispatching reference instruction;
further, optimizing the wind turbine generator power distribution strategy based on a grid-connected scheduling operation strategy to generate a grid-connected scheduling reference instruction, wherein the method provided by the application comprises the following steps of S700:
s710, obtaining a historical output power threshold value of the wind turbine generator according to the historical health data of the wind turbine generator;
s720, comparing the wind turbine output power distribution results of the plurality of operation marking wind turbines with the historical wind turbine output power threshold, and screening out the operation marking wind turbines with the wind turbine output power distribution results higher than the historical wind turbine output power threshold;
s730, calculating to obtain an output power difference that the output power distribution result of the wind turbine generator is higher than the historical output power threshold of the wind turbine generator;
and S740, generating the grid-connected dispatching reference instruction based on the grid-connected dispatching operation strategy, and carrying out grid-connected dispatching on the output power difference to a power grid system fuel energy source for power output completion.
Specifically, it should be understood that the output power of the wind turbine may not fully meet the output power scheduling requirement of the wind turbine, and the actual output power of the wind turbine is limited by the objective condition of the power output capability of the wind turbine itself.
Therefore, in this embodiment, the historical output power threshold of the wind turbine generator in the data interval reflecting the power that can be output in the normal operation process of the wind turbine generator is determined according to the historical health data comparison of the wind turbine generator, the wind turbine generator output power distribution result of a plurality of operation-marked wind turbine generators is compared with the historical output power threshold of the wind turbine generator, the operation-marked wind turbine generator with the output power distribution result higher than the historical output power threshold of the wind turbine generator is screened out, and this part of the wind turbine generator has the problem that the output power scheduling result exceeds the operation load of the wind turbine generator, if the output power requirement of the wind turbine generator output power distribution result is executed, the risk that the service life of the wind turbine generator is reduced due to the overload operation of the wind turbine generator and the use safety and stability exists.
Calculating to obtain an output power difference that the output power distribution result of the wind turbine generator is higher than the historical output power threshold of the wind turbine generator, generating a grid-connected dispatching reference instruction based on the grid-connected dispatching operation strategy, carrying out grid-connected dispatching on the output power difference to a power grid system, and carrying out power output completion through a fuel energy power generation unit with output stability and output power adjustability, thereby maintaining the power stability of offshore new energy grid connection.
According to the method, the output power capacity interval of the wind turbine generator in the target offshore wind farm is determined through analysis, so that the wind turbine generator with the overload running condition is determined, the power of the wind turbine generator with the overload running is subjected to grid-connected scheduling to a stable energy power generation unit, and the technical effects of improving the grid-connected reliability and stability of the offshore new energy, improving the utilization rate of the offshore new energy and reducing the power generation cost of the offshore new energy are achieved.
And S800, performing grid-connected power output regulation and wind generating set power distribution regulation based on the grid-connected scheduling reference instruction.
Specifically, in this embodiment, the target offshore wind farm and grid-connected grid system dispatcher obtain a real-time producible power prediction result of the current target offshore wind farm, a prediction result of an operation state of a plurality of wind turbines, a power dispatching situation of the wind turbines, and a power dispatching demand required for dispatching grid-connected power to other stable energy power generation units based on the grid-connected dispatching reference instruction, and perform grid-connected power output regulation and power dispatching regulation of the wind turbines.
According to the method provided by the embodiment, the environmental data of the target offshore wind farm are obtained, wherein the environmental data comprise historical wind speed data, real-time wind speed data, historical wind direction data, real-time wind direction data and historical weather data and real-time weather data, and data references are provided for the follow-up wind turbine shutdown judgment and the wind turbine output power prediction; obtaining wind turbine generator configuration information of the target offshore wind farm, and obtaining a plurality of wind turbines forming the target offshore wind farm based on the wind turbine generator configuration information; carrying out offshore wind power prediction according to the environmental data to obtain an offshore wind power prediction result; acquiring output power of the wind turbine generator, wherein the output power comprises historical output power of the wind turbine generator and real-time output power of the wind turbine generator; performing wind turbine safety prediction based on the historical output power of the wind turbine and the real-time output power of the wind turbine to obtain a wind turbine safety prediction result, providing reference information for subsequently judging whether the wind turbine is overhauled and shut down, and providing adjustment reference for wind turbine power distribution adjustment; generating a wind turbine power distribution strategy based on the offshore wind power prediction result and the wind turbine safety prediction result; optimizing the wind turbine generator power distribution strategy based on a grid-connected scheduling operation strategy, and generating a grid-connected scheduling reference instruction; and performing grid-connected power output regulation and wind generating set power distribution regulation based on the grid-connected scheduling reference instruction. The technical effects of improving the utilization rate of offshore wind power generation and improving the reliability of offshore wind power grid-connected operation, ensuring stable and reliable operation of an offshore wind farm, and improving the economic benefit and the electric power production value of offshore wind power generation are achieved.
Further, the offshore wind power prediction is performed according to the environmental data to obtain an offshore wind power prediction result, and before the above, the method provided by the present application further includes:
s910, presetting a shutdown threshold value of the wind turbine;
s920, performing operation risk prediction based on the real-time wind speed data, the real-time wind direction data and the real-time weather data to obtain an operation risk prediction result;
s930, stopping the power generation operation of the target offshore wind power plant when the operation risk prediction result meets the preset wind power generation set stop threshold value;
s940, generating the grid-connected dispatching reference instruction based on the grid-connected dispatching operation strategy;
and S950, performing grid-connected power output regulation and wind turbine generator power distribution regulation based on the grid-connected scheduling reference instruction.
Specifically, it should be understood that the offshore wind farm generates electricity by wind energy, and meanwhile, when the offshore wind energy does not satisfy the normal electricity generation of the wind turbine, for example, when the wind speed is too high and the wind direction is disordered and changeable due to the weather such as typhoon, the economic loss caused by stopping the operation of the offshore wind farm is far lower than the economic loss caused by wind power generation in severe weather and wind farm accidents.
In this embodiment, a preset wind turbine shutdown initial threshold of the target offshore wind farm is obtained according to the building information of the target offshore wind farm, and based on the preset wind turbine shutdown initial threshold of the target offshore wind farm in combination with the wind speed, wind direction and weather data of the target offshore wind farm when the historical wind turbine is shutdown, the wind turbine shutdown threshold is corrected to obtain an actual wind turbine shutdown threshold of the target offshore wind farm and serve as the preset wind turbine shutdown threshold, where the preset wind turbine shutdown threshold includes a wind direction shutdown threshold, a wind speed shutdown threshold and a weather shutdown threshold.
And comparing the real-time wind speed data, the real-time wind direction data and the real-time weather data with various risk thresholds in the preset shutdown thresholds one by one to finish operation risk prediction, and obtaining operation risk prediction results.
And when the operation risk prediction result indicates that all numerical values reach a preset wind turbine shutdown threshold value, the preset wind turbine shutdown threshold value is met, and the power generation operation of the target offshore wind farm is stopped.
And generating the grid-connected dispatching reference instruction based on the grid-connected dispatching operation strategy, and carrying out grid-connected power output regulation and wind turbine generator power distribution regulation based on the grid-connected dispatching reference instruction.
According to the method, the wind turbine shutdown threshold is determined by combining the historical operation shutdown data of the target offshore wind farm with the building information of the target offshore wind farm, and the real-time environmental data of the wind turbine is compared in real time to analyze and determine whether the operation of the target offshore wind turbine needs to be suspended, so that the technical effects of maintaining the operation safety of the target offshore wind turbine and avoiding disaster loss are achieved.
Example two
Based on the same inventive concept as the marine new energy grid connection and dispatching operation control method in the foregoing embodiment, as shown in fig. 4, the application provides a marine new energy grid connection and dispatching operation control system, wherein the system includes:
the system comprises an environmental data acquisition module 11, a data processing module and a data processing module, wherein the environmental data acquisition module is used for acquiring environmental data of a target offshore wind farm through an NWP (non-limiting-Page) system, and the environmental data comprises historical wind speed data, real-time wind speed data, historical wind direction data, real-time wind direction data, historical weather data and real-time weather data;
an electric field composition obtaining module 12, configured to obtain wind turbine composition information of the target offshore wind farm, and obtain, based on the wind turbine composition information, a plurality of wind turbines that constitute the target offshore wind farm;
the power prediction execution module 13 is configured to perform offshore wind power prediction according to the environmental data to obtain an offshore wind power prediction result;
the output power obtaining module 14 is configured to obtain output power of the wind turbine, where the output power includes historical output power of the wind turbine and real-time output power of the wind turbine;
the unit safety analysis module 15 is used for carrying out wind turbine unit safety prediction based on the historical output power of the wind turbine unit and the real-time output power of the wind turbine unit to obtain a wind turbine unit safety prediction result;
a power distribution determination module 16, configured to generate a wind turbine power distribution strategy based on the offshore wind turbine power prediction result and the wind turbine safety prediction result;
the scheduling instruction generating module 17 is configured to optimize the wind turbine generator power distribution strategy based on a grid-connected scheduling operation strategy and generate a grid-connected scheduling reference instruction;
and the scheduling instruction execution module 18 is used for carrying out grid-connected power output adjustment and wind generating set power distribution adjustment based on the grid-connected scheduling reference instruction.
Further, the system provided by the present application further includes:
the shutdown threshold production unit is used for presetting a shutdown threshold of the wind turbine;
the operation risk analysis unit is used for predicting operation risks based on the real-time wind speed data, the real-time wind direction data and the real-time weather data to obtain an operation risk prediction result;
the analysis result execution unit is used for stopping the power generation operation of the target offshore wind power plant when the operation risk prediction result meets the preset wind turbine generator shutdown threshold;
the scheduling instruction generating unit is used for generating the grid-connected scheduling reference instruction based on the grid-connected scheduling operation strategy;
and the power regulation execution unit is used for carrying out grid-connected power output regulation and wind turbine generator power distribution regulation based on the grid-connected scheduling reference instruction.
Further, the power prediction execution module 13 further includes:
a historical power obtaining unit, configured to obtain historical power data of the target offshore wind farm;
the time sequence label generating unit is used for generating a time sequence label according to the time sequence information of the environment data;
the tag marking execution unit is used for carrying out tag marking on the historical wind speed data, the historical wind direction data, the historical weather data and the historical power data based on the time sequence tag to obtain historical wind speed-wind direction-weather-power data with consistency of the time sequence tag;
the prediction model construction unit is used for constructing an offshore wind power prediction model by taking wind speed as a first coordinate axis, wind direction as a second coordinate axis and weather as a third coordinate axis;
the prediction model training unit is used for inputting the historical wind speed-wind direction-weather-power data into the offshore wind power prediction model for model training to obtain the offshore wind power prediction model with each group of wind speed-wind direction-weather having corresponding historical power data;
and the prediction result obtaining unit is used for inputting the real-time wind speed data, the real-time wind direction data and the real-time weather data into the offshore wind power prediction model to obtain the offshore wind power prediction result.
Further, the unit safety analysis module 15 further includes:
the evaluation model building unit is used for building a wind turbine generator safety evaluation model based on the Mahalanobis distance measurement;
a historical information obtaining unit, configured to obtain historical overhaul information of the plurality of wind turbine generators of the target offshore wind farm;
the historical information screening unit is used for screening the historical output power of the wind turbine generator in combination with the historical overhaul information of the wind turbine generator to obtain historical health data of the wind turbine generator;
the standard residual error obtaining unit is used for training the wind turbine safety evaluation model based on the historical health data of the wind turbine to obtain a wind turbine standard residual error set;
the real-time residual error obtaining unit is used for calculating and obtaining a real-time residual error value of the wind turbine generator according to the offshore wind power prediction result and the real-time output power of the wind turbine generator;
the Mahalanobis distance calculating unit is used for calculating to obtain the Mahalanobis distance measurement of the wind turbine generator according to the standard residual error set of the wind turbine generator and the real-time residual error value of the wind turbine generator;
and the prediction result generation unit is used for generating a wind turbine generator safety prediction result according to the Mahalanobis distance measurement of the wind turbine generator.
Further, the prediction result generation unit further includes:
the measurement threshold setting unit is used for presetting a Mahalanobis distance measurement threshold of the wind turbine generator;
the operation and maintenance marking execution unit is used for marking the operation and maintenance of the wind turbine generator when the Mahalanobis distance metric of the wind turbine generator is higher than the Mahalanobis distance metric threshold of the wind turbine generator to obtain an operation and maintenance marked wind turbine generator;
the operation marking execution unit is used for marking the operation of the wind turbine generator to obtain an operation marking wind turbine generator when the Mahalanobis distance measurement of the wind turbine generator falls into the Mahalanobis distance measurement threshold value of the wind turbine generator;
and the safety prediction generation unit is used for generating a safety prediction result of the wind turbine generator according to the operation and maintenance marking wind turbine generator and the operation marking wind turbine generator.
Further, the power allocation determining module 16 further includes:
the measurement data obtaining unit is used for obtaining the Mahalanobis distance measurement of a plurality of wind generation sets of the operation mark wind generation sets based on the safety prediction result of the wind generation sets;
the normalization processing unit is used for performing normalization processing on the basis of the Mahalanobis distance measurement of the wind turbine generators to obtain a normalization processing result;
the weight distribution generating unit is used for carrying out weight distribution according to the normalization processing result to obtain weight distribution results of the plurality of operation mark wind generation sets;
and the power distribution generation unit is used for generating the wind turbine generator power distribution strategy based on the weight distribution result and the offshore wind power prediction result, distributing the output power of the wind turbines and obtaining a wind turbine generator output power distribution result.
Further, the scheduling instruction generating module 17 further includes:
the output threshold value determining unit is used for obtaining a historical output power threshold value of the wind turbine generator according to the historical health data of the wind turbine generator;
the operation mark determining unit is used for comparing the wind turbine generator output power distribution results of the plurality of operation mark wind turbine generators with the historical wind turbine generator output power threshold value, and screening out the operation mark wind turbine generators with the wind turbine generator output power distribution results higher than the historical wind turbine generator output power threshold value;
the power difference value calculating unit is used for calculating an output power difference that the obtained wind turbine generator output power distribution result is higher than the historical output power threshold of the wind turbine generator;
and the power completion execution unit is used for generating the grid-connected dispatching reference instruction based on the grid-connected dispatching operation strategy and dispatching the output power difference to the fuel energy of the power grid system for power output completion.
Any of the methods or steps described above may be stored as computer instructions or programs in various non-limiting types of computer memory that are recognized by various non-limiting types of computer processors to implement any of the methods or steps described above.
Based on the above embodiments of the present invention, those skilled in the art should make any improvements and modifications to the present invention without departing from the principle of the present invention, and therefore, the present invention should fall into the protection scope of the present invention.
Claims (10)
1. A control method for offshore new energy grid connection and dispatching operation is characterized by comprising the following steps:
100 Obtaining environmental data of a target offshore wind farm through an NWP system, wherein the environmental data comprise historical wind speed data, real-time wind speed data, historical wind direction data, real-time wind direction data, historical weather data and real-time weather data;
200 Obtaining wind turbine configuration information of the target offshore wind farm, and obtaining a plurality of wind turbines configuring the target offshore wind farm based on the wind turbine configuration information;
300 Carrying out offshore wind power prediction according to the environmental data to obtain an offshore wind power prediction result;
400 Acquiring output power of the wind generation set, wherein the output power comprises historical output power of the wind generation set and real-time output power of the wind generation set;
500 Carrying out safety prediction on the wind turbine generator based on the historical output power of the wind turbine generator and the real-time output power of the wind turbine generator to obtain a safety prediction result of the wind turbine generator;
600 Generating a wind turbine power distribution strategy based on the offshore wind power prediction result and the wind turbine safety prediction result;
700 Optimizing the power distribution strategy of the wind turbine generator based on the grid-connected scheduling operation strategy to generate a grid-connected scheduling reference instruction;
800 Based on the grid-connected scheduling reference instruction, grid-connected power output regulation and wind generating set power distribution regulation are carried out.
2. The offshore new energy grid connection and dispatching operation management and control method according to claim 1, further comprising, before step 300), the steps of:
910 Presetting a shutdown threshold value of the wind turbine;
920 Performing operation risk prediction based on the real-time wind speed data, the real-time wind direction data and the real-time weather data to obtain an operation risk prediction result;
930 Stopping the power generation operation of the target offshore wind farm when the operation risk prediction result meets the preset wind turbine set shutdown threshold value;
940 Generating the grid-connected scheduling reference instruction based on the grid-connected scheduling operation strategy;
950 Based on the grid-connected scheduling reference instruction, the grid-connected power output adjustment and the wind turbine generator power distribution adjustment are carried out.
3. The offshore new energy grid connection and dispatching operation management and control method according to claim 1, wherein in the step 300), the offshore wind power prediction is performed according to the environmental data, and an offshore wind power prediction result is obtained, and the method comprises the following steps:
310 Obtaining historical power data for the target offshore wind farm;
320 Generating a timing tag according to the timing information of the environment data;
330 Tag marking the historical wind speed data, the historical wind direction data, the historical weather data and the historical power data based on the time sequence tags to obtain historical wind speed-wind direction-weather-power data with time sequence tags having consistency;
340 The wind speed is used as a first coordinate axis, the wind direction is used as a second coordinate axis, and the weather is used as a third coordinate axis, so that an offshore wind power prediction model is constructed;
350 Inputting the historical wind speed-wind direction-weather-power data into the offshore wind power prediction model for model training, and obtaining the offshore wind power prediction model with each group of wind speed-wind direction-weather having corresponding historical power data;
360 The real-time wind speed data, the real-time wind direction data and the real-time weather data are input into the offshore wind power prediction model, and the offshore wind power prediction result is obtained.
4. The offshore new energy grid connection and scheduling operation control method according to claim 3, wherein in step 500), wind turbine safety prediction is performed based on the historical output power of the wind turbine and the real-time output power of the wind turbine, and a wind turbine safety prediction result is obtained, and the method comprises the following steps:
510 Constructing a wind turbine generator safety evaluation model based on the Mahalanobis distance measurement;
520 Obtaining historical overhaul information for a plurality of the wind turbines of the target offshore wind farm;
530 Screening the historical output power of the wind turbine generator according to the historical overhaul information of the wind turbine generator to obtain historical health data of the wind turbine generator;
540 Training the wind turbine safety assessment model based on the historical health data of the wind turbine to obtain a wind turbine standard residual set;
550 Calculating to obtain a real-time residual value of the wind turbine generator according to the offshore wind power prediction result and the real-time output power of the wind turbine generator;
560 According to the standard residual error set of the wind turbine generator and the real-time residual error value of the wind turbine generator, calculating to obtain the Mahalanobis distance measurement of the wind turbine generator;
570 The mahalanobis distance measurement of the wind turbine generator is used for generating a safety prediction result of the wind turbine generator.
5. The offshore new energy grid connection and scheduling operation management and control method according to claim 4, wherein in step 570), the wind turbine safety prediction result is generated according to the mahalanobis distance measurement of the wind turbine, and the method comprises the following steps:
571 Preset mahalanobis distance measurement threshold of the wind turbine;
572 When the Mahalanobis distance metric of the wind turbine generator is higher than the Mahalanobis distance metric threshold of the wind turbine generator, performing operation and maintenance marking on the wind turbine generator to obtain an operation and maintenance marked wind turbine generator;
573 When the mahalanobis distance measurement of the wind turbine generator falls into the mahalanobis distance measurement threshold value of the wind turbine generator, performing operation marking on the wind turbine generator to obtain an operation marked wind turbine generator;
574 The operation and maintenance marked wind turbine generator and the operation marked wind turbine generator generate a wind turbine generator safety prediction result.
6. The offshore new energy grid connection and dispatching operation management and control method according to claim 5, wherein in step 600), a wind turbine power distribution strategy is generated based on the offshore wind power prediction result and the wind turbine safety prediction result, and the method comprises the following steps:
610 Based on the wind turbine safety prediction result, obtaining a plurality of mahalanobis distance measures of a plurality of the operation mark wind turbines;
620 Based on the Mahalanobis distance measurement of the wind turbine generators, normalization processing is carried out to obtain a normalization processing result;
630 Carrying out weight distribution according to the normalization processing result to obtain weight distribution results of the plurality of operation mark wind turbines;
640 Generating the wind turbine power distribution strategy based on the weight distribution result and the offshore wind power prediction result, and distributing the output power of the plurality of wind turbines to obtain the wind turbine output power distribution result.
7. The offshore new energy grid connection and scheduling operation management and control method according to claim 6, wherein in step 700), the wind turbine power distribution strategy is optimized based on a grid connection scheduling operation strategy, and a grid connection scheduling reference instruction is generated, and the method comprises the following steps:
710 Obtaining a historical output power threshold value of the wind turbine generator according to the historical health data of the wind turbine generator;
720 Comparing the wind turbine generator output power distribution results of the plurality of operation marking wind turbine generators with the historical wind turbine generator output power threshold value, and screening out the operation marking wind turbine generators with the wind turbine generator output power distribution results higher than the historical wind turbine generator output power threshold value;
730 Calculating to obtain an output power difference that the output power distribution result of the wind turbine generator is higher than the historical output power threshold of the wind turbine generator;
740 Generating the grid-connected scheduling reference instruction based on the grid-connected scheduling operation strategy, and performing grid-connected scheduling on the output power difference to a power grid system fuel energy source for power output completion.
8. The management and control system for the marine new energy grid connection and dispatching operation management and control method according to any one of claims 1 to 7 is characterized by comprising the following steps:
the system comprises an environmental data acquisition module, a data processing module and a data processing module, wherein the environmental data acquisition module is used for acquiring environmental data of a target offshore wind farm through an NWP (non-Newton P) system, and the environmental data comprises historical wind speed data, real-time wind speed data, historical wind direction data, real-time wind direction data, historical weather data and real-time weather data;
the electric field composition obtaining module is used for obtaining wind turbine composition information of the target offshore wind farm and obtaining a plurality of wind turbines forming the target offshore wind farm based on the wind turbine composition information;
the power prediction execution module is used for carrying out offshore wind power prediction according to the environment data to obtain an offshore wind power prediction result;
the output power obtaining module is used for obtaining the output power of the wind turbine generator, and the output power comprises the historical output power of the wind turbine generator and the real-time output power of the wind turbine generator;
the unit safety analysis module is used for carrying out wind turbine unit safety prediction based on the historical output power of the wind turbine unit and the real-time output power of the wind turbine unit to obtain a wind turbine unit safety prediction result;
the power distribution determination module is used for generating a wind turbine power distribution strategy based on the offshore wind power prediction result and the wind turbine safety prediction result;
the scheduling instruction generating module is used for optimizing the wind turbine generator power distribution strategy based on a grid-connected scheduling operation strategy and generating a grid-connected scheduling reference instruction;
and the scheduling instruction execution module is used for carrying out grid-connected power output adjustment and wind generating set power distribution adjustment based on the grid-connected scheduling reference instruction.
9. The management and control system according to claim 8, further comprising a protection module, said protection module comprising:
the shutdown threshold production unit is used for presetting a shutdown threshold of the wind turbine;
the operation risk analysis unit is used for predicting operation risks based on the real-time wind speed data, the real-time wind direction data and the real-time weather data to obtain an operation risk prediction result;
the analysis result execution unit is used for stopping the power generation operation of the target offshore wind power plant when the operation risk prediction result meets the preset wind power generation set stop threshold value;
the scheduling instruction generating unit is used for generating the grid-connected scheduling reference instruction based on the grid-connected scheduling operation strategy;
and the power regulation execution unit is used for carrying out grid-connected power output regulation and wind turbine generator power distribution regulation based on the grid-connected scheduling reference instruction.
10. The management and control system according to claim 8, characterized in that:
the power prediction execution module includes:
a historical power obtaining unit, configured to obtain historical power data of the target offshore wind farm;
the time sequence label generating unit is used for generating a time sequence label according to the time sequence information of the environment data;
the tag marking execution unit is used for carrying out tag marking on the historical wind speed data, the historical wind direction data, the historical weather data and the historical power data based on the time sequence tag to obtain historical wind speed-wind direction-weather-power data with consistency of the time sequence tag;
the prediction model construction unit is used for constructing an offshore wind power prediction model by taking wind speed as a first coordinate axis, wind direction as a second coordinate axis and weather as a third coordinate axis;
the prediction model training unit is used for inputting the historical wind speed-wind direction-weather-power data into the offshore wind power prediction model for model training to obtain the offshore wind power prediction model with each group of wind speed-wind direction-weather having corresponding historical power data;
the prediction result obtaining unit is used for inputting the real-time wind speed data, the real-time wind direction data and the real-time weather data into the offshore wind power prediction model to obtain the offshore wind power prediction result;
the unit safety analysis module comprises:
the evaluation model building unit is used for building a wind turbine generator safety evaluation model based on the Mahalanobis distance measurement;
a historical information obtaining unit, configured to obtain historical overhaul information of the plurality of wind turbine generators of the target offshore wind farm;
the historical information screening unit is used for screening the historical output power of the wind turbine generator in combination with the historical overhaul information of the wind turbine generator to obtain historical health data of the wind turbine generator;
the standard residual error obtaining unit is used for training the wind turbine safety evaluation model based on the historical health data of the wind turbine to obtain a wind turbine standard residual error set;
the real-time residual error obtaining unit is used for calculating and obtaining a real-time residual error value of the wind turbine generator according to the offshore wind power prediction result and the real-time output power of the wind turbine generator;
the Mahalanobis distance calculating unit is used for calculating to obtain the Mahalanobis distance measurement of the wind turbine generator according to the standard residual error set of the wind turbine generator and the real-time residual error value of the wind turbine generator;
the prediction result generation unit is used for generating a wind turbine generator safety prediction result according to the Mahalanobis distance measurement of the wind turbine generator;
the power allocation determination module includes:
the measurement data obtaining unit is used for obtaining the Mahalanobis distance measurement of a plurality of wind generation sets of the operation mark wind generation sets based on the safety prediction result of the wind generation sets;
the normalization processing unit is used for performing normalization processing on the basis of the Mahalanobis distance measurement of the wind turbine generators to obtain a normalization processing result;
the weight distribution generating unit is used for carrying out weight distribution according to the normalization processing result to obtain weight distribution results of the operation mark wind turbines;
the power distribution generating unit is used for generating the wind turbine generator power distribution strategy based on the weight distribution result and the offshore wind power prediction result, distributing the output power of the wind turbines and obtaining the wind turbine generator output power distribution result;
the scheduling instruction generation module comprises:
the output threshold value determining unit is used for obtaining a historical output power threshold value of the wind turbine generator according to the historical health data of the wind turbine generator;
the operation mark determining unit is used for comparing the wind turbine generator output power distribution results of the plurality of operation mark wind turbine generators with the historical wind turbine generator output power threshold value, and screening out the operation mark wind turbine generators with the wind turbine generator output power distribution results higher than the historical wind turbine generator output power threshold value;
the power difference value calculating unit is used for calculating an output power difference that the obtained wind turbine generator output power distribution result is higher than the historical output power threshold of the wind turbine generator;
and the power completion execution unit is used for generating the grid-connected dispatching reference instruction based on the grid-connected dispatching operation strategy and dispatching the output power difference to the grid-connected dispatching to the fuel energy of the power grid system for power output completion.
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| CN116523349A (en) * | 2023-05-19 | 2023-08-01 | 北京协合运维风电技术有限公司 | Wind power station reliability analysis method and system |
| CN116976650A (en) * | 2023-09-21 | 2023-10-31 | 常州易管智能科技有限公司 | Power grid lean management regulation and control method based on big data |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116523349A (en) * | 2023-05-19 | 2023-08-01 | 北京协合运维风电技术有限公司 | Wind power station reliability analysis method and system |
| CN116976650A (en) * | 2023-09-21 | 2023-10-31 | 常州易管智能科技有限公司 | Power grid lean management regulation and control method based on big data |
| CN116976650B (en) * | 2023-09-21 | 2023-12-12 | 常州易管智能科技有限公司 | Power grid lean management regulation and control method based on big data |
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