A power engineering detection method, system, device and storage medium

Abstract

The application provides a power engineering detection method, system, device and storage medium, relates to the power plant operation management technical field, and the method comprises the following steps: determining the residual bearable power of each normal generator according to the output power and the rated power of each normal generator; in combination with the residual bearable power and the to-be-transferred load power of the abnormal generator, determining the first power transfer scheme of each normal generator; according to historical load data, predicting the load change trend of each normal generator within a preset time length, and adjusting the first power transfer scheme according to the load change trend to determine the second power transfer scheme; according to historical operation parameters, adjusting the second power transfer scheme to determine the target power transfer scheme of each normal generator and adjust the output power of each normal generator. The application has the technical effects that the load power transfer distribution of the abnormal generator is accurately performed, and the safe and stable operation of the generator set is ensured.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power plant operation management, in particular to a detection method, system and device of power engineering and a storage medium. BACKGROUND

[0002] In the process of power system operation, when the generator set of the power plant appears abnormal, the load of the abnormal generator needs to be transferred to other normally operating generators in time to ensure the stable operation of the power system and the power demand. If the transfer scheme is unreasonable, it may lead to overload operation of part of the generators or uneven load distribution, affecting the safety and reliability of the power system.

[0003] In the prior art, the load power of the abnormal generator is usually transferred and distributed according to a preset distribution ratio based on the rated power and the current output power of each normal generator. However, this simple power transfer method only considers the static parameters of the generator and fails to fully consider the dynamic characteristics of the generator in the actual operation process, resulting in a large deviation between the power distribution scheme and the actual operating condition, which cannot meet the actual demand for safe and stable operation of the generator set. SUMMARY

[0004] The present application provides a detection method of power engineering for accurately transferring and distributing the load power of the abnormal generator and ensuring the safe and stable operation of the generator set.

[0005] In the first aspect, the present application provides a detection method of power engineering, which comprises: when there is an abnormal generator in the generator set of the power plant, obtaining the output power and rated power of each normal generator in the remaining normal generators and the load power to be transferred of the abnormal generator; determining the remaining bearable power of each normal generator according to the output power and the rated power; combining the remaining bearable power and the load power to be transferred, determining a first power transfer scheme of each normal generator; obtaining the historical load data of each normal generator, predicting the load change trend of each normal generator within a preset time length according to the historical load data, and adjusting the first power transfer scheme according to the load change trend to determine a second power transfer scheme of each normal generator; obtaining the historical operating parameters of each normal generator within a preset sampling time, calculating the health index of each normal generator according to the historical operating parameters, and adjusting the second power transfer scheme according to the health index to determine a target power transfer scheme of each normal generator; and adjusting the output power of each normal generator according to the target power transfer scheme.

[0006] By adopting the technical scheme, the first power transfer scheme is determined by first acquiring the basic parameters of the normal generators, the second power transfer scheme is obtained by adjusting in combination with the historical load data to predict the load change trend, and the target power transfer scheme is further optimized according to the health index calculated based on the historical operation parameters, so that the static parameters and dynamic characteristics of the generators are comprehensively considered. The method realizes three-step progressive optimization, ensures the rationality of power distribution, effectively prevents the operation risk caused by the load change and equipment state deterioration of the generators, accurately performs load power transfer distribution of the abnormal generators, and ensures the safe and stable operation of the generator set.

[0007] Optionally, the first power transfer scheme of each normal generator is determined by combining the remaining bearable power and the load power to be transferred, including: determining a power distribution coefficient of each normal generator according to a proportion of the remaining bearable power of each normal generator in the total remaining bearable power of all normal generators; multiplying the load power to be transferred by the power distribution coefficient to obtain the target transfer power to be borne by each normal generator; and adding the output power of each normal generator and the corresponding target transfer power to obtain the target output power of each normal generator, and taking the target output power as the first power transfer scheme of each normal generator.

[0008] By adopting the technical scheme, the power distribution coefficient is obtained by calculating the proportion of the remaining bearable power of each normal generator, and the load power to be transferred is distributed according to the coefficient, and finally the target output power of each normal generator is determined, so that the power distribution matches the actual bearable capacity of the generator, and the problem of generator overload caused by simple proportional distribution according to the rated power is avoided, and the rationality and feasibility of the power transfer scheme are ensured.

[0009] Optionally, the load change trend of each normal generator in a preset time length is predicted according to the historical load data, including: acquiring the load data of each normal generator in a first time length, predicting the initial load change trend of each normal generator in the preset time length according to the load data of each normal generator in the first time length, the first time length being before the preset time length; and adjusting the initial load change trend according to the historical load data to generate the load change trend of each normal generator in the preset time length.

[0010] By adopting the technical scheme, the initial load change trend is predicted by acquiring the load data in the first time length, and the prediction result is adjusted in combination with the long-term historical load data, so that the prediction result reflects the load change characteristics of the generator in the recent period and considers the long-term operation law, thereby improving the accuracy and reliability of the load change trend prediction and providing a more accurate basis for subsequent optimization of the power transfer scheme.

[0011] Optionally, the adjusting the first power transfer scheme according to the load change trend to determine the second power transfer scheme of each normal generator comprises: acquiring a first normal generator with an upward trend of the load change trend, reducing the target output power of the first normal generator, and generating the second power transfer scheme of the first normal generator, wherein the reduction range of the target output power of the first normal generator increases with the increase of the upward trend; acquiring a second normal generator with a downward trend of the load change trend, increasing the target output power of the second normal generator, and generating the second power transfer scheme of the second normal generator, wherein the increase range of the target output power of the second normal generator increases with the increase of the downward trend.

[0012] By adopting the technical scheme, the target output power of the generator with an upward trend is appropriately reduced, and the target output power of the generator with a downward trend is appropriately increased, and the adjustment range is proportional to the trend change degree, so that the dynamic optimization of power distribution is realized. The dynamic adjustment mechanism based on the trend avoids overloading of the generator with rapidly rising load due to additional transfer power, and fully utilizes the available capacity of the generator with falling load, thereby improving the rationality of power distribution and the safety of system operation.

[0013] Optionally, the historical operation parameters include temperature, vibration frequency and conversion efficiency, and the health index of each normal generator is calculated according to the historical operation parameters, comprising: calculating a first difference value of the temperature and a standard temperature, a second difference value of the vibration frequency and a standard vibration frequency, and a third difference value of the conversion efficiency and a standard conversion efficiency; determining that the weight coefficient of the first difference value is a first coefficient, the weight coefficient of the second difference value is a second coefficient, and the weight coefficient of the third difference value is a third coefficient; adding the product of the first difference value and the first coefficient, the product of the second difference value and the second coefficient, and the product of the third difference value and the third coefficient to obtain the health index of each normal generator.

[0014] By adopting the technical scheme, the health index capable of comprehensively reflecting the operation state of the generator is obtained by comprehensively considering the deviations of the three key operation parameters, i.e., temperature, vibration frequency and conversion efficiency, from the standard values, and introducing corresponding weight coefficients for weighted calculation. The multi-parameter weighted evaluation method not only considers the influence degree of different operation parameters on the equipment state, but also accurately reflects the overall health condition of the generator, thereby providing a reliable quantitative basis for subsequent optimization of the power transfer scheme.

[0015] Optionally, the adjusting the second power transfer scheme according to the health index to determine the target power transfer scheme of each normal generator comprises: acquiring a third normal generator whose health index exceeds a health threshold, increasing the target output power of the third normal generator in the second power transfer scheme, generating the target power transfer scheme of the third normal generator, and the increase amplitude of the target output power of the third normal generator increases with the increase of the health index; acquiring a fourth normal generator whose health index is lower than the health threshold, reducing the target output power of the fourth normal generator in the second power transfer scheme, determining the target power transfer scheme of the fourth normal generator, and the decrease amplitude of the target output power of the fourth normal generator increases with the decrease of the health index.

[0016] By adopting the technical scheme, the health threshold is set as the judgment standard, the target output power of the generator with a higher health index is increased, and the target output power of the generator with a lower health index is reduced, and the adjustment amplitude is proportional to the deviation degree of the health index, thereby realizing the power distribution optimization based on the equipment health condition. The differential adjustment strategy not only fully utilizes the available capacity of the generator in good condition, but also reduces the load pressure of the generator in poor condition, effectively prevents the performance degradation of the equipment, and prolongs the service life of the generator set.

[0017] Optionally, after the adjusting the output power of each normal generator according to the target power transfer scheme, the method further comprises: monitoring the actual output power of each normal generator within a preset monitoring time; and when the actual output power of any normal generator does not meet the preset requirement, sending a warning information to a terminal device of an operator to enable the operator to troubleshoot.

[0018] By adopting the technical scheme, the actual output power of the normal generator is monitored in real time, and the warning information is sent to the operator in time when the output power does not meet the preset requirement, thereby realizing the real-time monitoring and rapid response of the execution effect of the power transfer scheme, which helps the operator to timely find and eliminate potential faults, and ensures the effective execution of the power transfer scheme and the safe operation of the generator set.

[0019] In a second aspect, the application provides a power engineering detection system, which comprises an acquisition module, a determination module, a combination module, a first adjustment module, a second adjustment module and an output module; the acquisition module is configured to acquire the output power and rated power of each normal generator in the remaining normal generators and the load power to be transferred of the abnormal generator when there is an abnormal generator in the generator set of a power plant; the determination module is configured to determine the remaining bearable power of each normal generator according to the output power and the rated power; the combination module is configured to combine the remaining bearable power and the load power to be transferred to determine the first power transfer scheme of each normal generator; the first adjustment module is configured to acquire the historical load data of each normal generator, predict the load change trend of each normal generator within a preset time length according to the historical load data, and adjust the first power transfer scheme according to the load change trend to determine the second power transfer scheme of each normal generator; the second adjustment module is configured to acquire the historical operation parameters of each normal generator within a preset sampling time, calculate the health index of each normal generator according to the historical operation parameters, and adjust the second power transfer scheme according to the health index to determine the target power transfer scheme of each normal generator; and the output module is configured to adjust the output power of each normal generator according to the target power transfer scheme.

[0020] In a third aspect, the application provides an electronic device, which adopts the following technical scheme: comprising a processor, a memory, a user interface and a network interface, the memory is configured to store instructions, the user interface and the network interface are configured to communicate with other devices, and the processor is configured to execute the instructions stored in the memory to enable the electronic device to execute the computer program of any of the above power engineering detection methods.

[0021] In a fourth aspect, the application provides a computer readable storage medium, which adopts the following technical scheme: storing a computer program capable of being loaded and executed by a processor to execute any of the above power engineering detection methods.

[0022] In summary, the application has at least one of the following beneficial technical effects:

[0023] The first power transfer scheme is determined by first acquiring basic parameters of the normal generator, the second power transfer scheme is obtained by combining historical load data to predict load change trend for adjustment, and the target power transfer scheme is obtained by further optimization according to the health index calculated according to historical operation parameters, so that the static parameters and dynamic characteristics of the generator are comprehensively considered. The method realizes three-step progressive optimization, which not only ensures the rationality of power distribution, but also effectively prevents the operation risk caused by load change and equipment state deterioration of the generator, accurately performs load power transfer distribution of the abnormal generator, and ensures safe and stable operation of the generator set. BRIEF DESCRIPTION OF DRAWINGS

[0024] Figure 1 is a flowchart of a detection method of a power engineering provided by an embodiment of the present application;

[0025] Figure 2 is a structural schematic diagram of a detection system of a power engineering provided by an embodiment of the present application;

[0026] Figure 3 is a structural schematic diagram of an electronic device provided by an embodiment of the present application.

[0027] The specific embodiments of the present application will be described below with reference to the accompanying drawings. DETAILED DESCRIPTION

[0028] In order to enable personnel in the technical field to better understand the technical solutions in the present specification, the technical solutions in the present specification will be described clearly and completely below with reference to the accompanying drawings in the embodiments of the present specification. Obviously, the described embodiments are only some of the embodiments of the present application, not all the embodiments.

[0029] In the description of the embodiments of the present application, the words such as "exemplary", "for example", or "for instance" are used to mean example, illustration or description. Any embodiment or design scheme described as "exemplary", "for example", or "for instance" in the embodiments of the present application should not be interpreted as more preferred or more advantageous than other embodiments or design schemes. On the contrary, the words such as "exemplary", "for example", or "for instance" are intended to present the relevant concept in a specific way.

[0030] Figure 1 is a flowchart of a detection method of a power engineering provided by an embodiment of the present application. As shown in Figure 1 , the method comprises S101-S106:

[0031] S101, when an abnormal generator exists in the generator set of the power plant, the output power and rated power of each normal generator in the remaining normal generators and the load power to be transferred of the abnormal generator are obtained.

[0032] During the operation of the power plant, when it is detected that an abnormal generator exists in the generator set, in order to ensure the normal operation of the power plant and the power demand, the load power of the abnormal generator needs to be transferred to other normally operating generators. Before transferring the load power, the real-time operating state of each normal generator and the load power to be transferred of the abnormal generator need to be obtained first, so as to reasonably allocate the transferred power subsequently.

[0033] Specifically, the output power and rated power data of the remaining normal generators are collected in real time by the monitoring system of the power plant, wherein the output power represents the size of the load actually assumed by the generator at present, and the rated power represents the maximum load capacity that the generator can assume; at the same time, the output power of the abnormal generator before the abnormality occurs is obtained as the load power to be transferred.

[0034] For example, a certain power plant has 5 generator sets, of which No. 1 generator appears abnormal and needs to be shut down for maintenance, and the output power before shutdown is 100 MW, i.e. the load power to be transferred is 100 MW; among the remaining 4 normal generators, the output power of No. 2 generator is 150 MW, the rated power is 300 MW, the output power of No. 3 generator is 200 MW, the rated power is 400 MW, the output power of No. 4 generator is 180 MW, the rated power is 350 MW, and the output power of No. 5 generator is 160 MW, the rated power is 320 MW. By obtaining these real-time data, the current load condition and available capacity of each normal generator can be accurately mastered, providing a data basis for subsequent reasonable allocation of the load power of the abnormal generator, so as to ensure the feasibility and scientificity of the power transfer scheme.

[0035] S102, according to the output power and the rated power, the remaining assumable power of each normal generator is determined.

[0036] After obtaining the operating data of each normal generator, in order to scientifically evaluate the actual load assumption capacity of each normal generator, the remaining assumable power of each normal generator needs to be calculated.

[0037] Specifically, the remaining bearable power of each normal generator can be obtained by subtracting the current output power from the rated power of the normal generator. Taking the above example, the remaining bearable power of the No. 2 generator is 150 MW, which is the rated power 300 MW minus the output power 150 MW; the remaining bearable power of the No. 3 generator is 200 MW, which is the rated power 400 MW minus the output power 200 MW; the remaining bearable power of the No. 4 generator is 170 MW, which is the rated power 350 MW minus the output power 180 MW; and the remaining bearable power of the No. 5 generator is 160 MW, which is the rated power 320 MW minus the output power 160 MW. By calculating the remaining bearable power, the remaining capacity of each normal generator can be intuitively reflected, which provides an important basis for subsequent power transfer scheme.

[0038] In S103, a first power transfer scheme of each normal generator is determined in combination with the remaining bearable power and the load power to be transferred.

[0039] After determining the remaining bearable power of each normal generator, a preliminary power transfer scheme needs to be developed to reasonably allocate the load power of the abnormal generator. First, the power allocation coefficient of each normal generator is calculated, which represents the proportion of the remaining bearable power of each normal generator to the total of the remaining bearable power of all normal generators. Continuing with the above example, the total of the remaining bearable power of all normal generators is 680 MW (150 MW + 200 MW + 170 MW + 160 MW), so the power allocation coefficient of the No. 2 generator is 150 / 680 ≈ 0.22, the power allocation coefficient of the No. 3 generator is 200 / 680 ≈ 0.29, the power allocation coefficient of the No. 4 generator is 170 / 680 ≈ 0.25, and the power allocation coefficient of the No. 5 generator is 160 / 680 ≈ 0.24. Then, the target transfer power to be borne by each normal generator is obtained by multiplying the load power to be transferred by the power allocation coefficient of each normal generator.

[0040] In this embodiment, the load power to be transferred of the abnormal generator is 100 MW, so the target transfer power to be borne by the No. 2 generator is 22 MW, the target transfer power to be borne by the No. 3 generator is 29 MW, the target transfer power to be borne by the No. 4 generator is 25 MW, and the target transfer power to be borne by the No. 5 generator is 24 MW.

[0041] Finally, the target output power of each normal generator is obtained by adding the current output power of each normal generator to the corresponding target transfer power, as the first power transfer scheme. Specifically, the target output power of the No. 2 generator is 172 MW, the target output power of the No. 3 generator is 229 MW, the target output power of the No. 4 generator is 205 MW, and the target output power of the No. 5 generator is 184 MW.

[0042] In the above embodiment, as an optional implementation, in S103, the first power transfer scheme of each normal generator is determined in combination with the remaining bearable power and the load power to be transferred, and specifically includes S31-S33:

[0043] S31, according to the proportion of the remaining bearable power of each normal generator in the total sum of the remaining bearable power of all normal generators, determine the power distribution coefficient of each normal generator.

[0044] S32, the load power to be transferred is multiplied by the power distribution coefficient to obtain the target transfer power to be borne by each normal generator.

[0045] S33, the output power of each normal generator is arithmetically added to the corresponding target transfer power to obtain the target output power of each normal generator, and the target output power is taken as the first power transfer scheme of each normal generator.

[0046] The power distribution coefficient of each normal generator is calculated, which reflects the proportion of the available capacity of each normal generator in the total available capacity. In this embodiment, the total sum of the remaining bearable power of all normal generators is 680MW, among which the remaining bearable power of the No. 2 generator is 150MW, and the corresponding power distribution coefficient is 150 / 680≈0.22; the remaining bearable power of the No. 3 generator is 200MW, and the corresponding power distribution coefficient is 200 / 680≈0.29; the remaining bearable power of the No. 4 generator is 170MW, and the corresponding power distribution coefficient is 170 / 680≈0.25; the remaining bearable power of the No. 5 generator is 160MW, and the corresponding power distribution coefficient is 160 / 680≈0.24.

[0047] The load power to be transferred of the abnormal generator 100MW is multiplied by the power distribution coefficient of each normal generator respectively, and the target transfer power to be borne by each normal generator is calculated: the target transfer power of the No. 2 generator is 100MWx0.22=22MW, the target transfer power of the No. 3 generator is 100MWx0.29=29MW, the target transfer power of the No. 4 generator is 100MWx0.25=25MW, and the target transfer power of the No. 5 generator is 100MWx0.24=24MW.

[0048] The current output power of each normal generator is added to the calculated target transfer power to obtain the target output power of each normal generator:

[0049] The target output power of the No. 2 generator is 172MW; the target output power of the No. 3 generator is 229MW; the target output power of the No. 4 generator is 205MW; and the target output power of the No. 5 generator is 184MW.

[0050] S104, historical load data of each normal generator is obtained, based on the historical load data, a load change trend of each normal generator within a preset time length is predicted, and the first power transfer scheme is adjusted based on the load change trend to determine a second power transfer scheme of each normal generator.

[0051] In order to make the power transfer scheme more forward-looking and adaptive, the load change of each normal generator in the future period of time needs to be considered. First, the historical load data of each normal generator is obtained from the database of the power plant, including short-term load data within a first time length (such as the previous 4 hours) and historical load data of a longer time period. By analyzing the load data within the first time length, a time series prediction algorithm is used to predict the initial load change trend of each normal generator within a preset time length (such as the next 2 hours).

[0052] Then, the initial prediction result is corrected in combination with the historical load data of a longer time period to obtain a more accurate load change trend. For example, through analysis, it is found that the loads of the No. 2 generator and the No. 3 generator within the preset time length show an upward trend, and the upward trend of the No. 2 generator is more obvious, with a predicted load increase of 15%; the No. 3 generator is predicted to have a load increase of 10%; while the loads of the No. 4 generator and the No. 5 generator show a downward trend, and the downward trend of the No. 5 generator is more significant, with a predicted load decrease of 12%; the No. 4 generator is predicted to have a load decrease of 8%. Based on these prediction results, the first power transfer scheme needs to be adjusted accordingly: for the No. 2 and No. 3 generators with an upward trend in load, their target output power should be appropriately reduced, and the reduction amplitude is proportional to the upward trend, specifically, the target output power of the No. 2 generator is reduced from 172 MW to 146 MW, and the target output power of the No. 3 generator is reduced from 229 MW to 206 MW; for the No. 4 and No. 5 generators with a downward trend in load, their target output power should be appropriately increased, and the increase amplitude is proportional to the downward trend, wherein the target output power of the No. 4 generator is increased from 205 MW to 221 MW, and the target output power of the No. 5 generator is increased from 184 MW to 206 MW.

[0053] This dynamic adjustment scheme based on load prediction can respond to the load changes of each normal generator in advance, avoid the problems of uneven power distribution or generator overload caused by load changes, and improve the forward-looking and reliability of the power transfer scheme. At the same time, through in-depth analysis and trend prediction of historical data, the power transfer process can also be made more stable, reducing the adverse effects of power fluctuations on the generator set, thereby improving the overall operation efficiency and safety of the power plant.

[0054] On the basis of the above-mentioned embodiments, as an optional implementation, S104, according to the historical load data, predicting the load change trend of each normal generator within the preset time length specifically comprises S41-S42:

[0055] S41, obtaining the load data of each normal generator within a first time length, and predicting the initial load change trend of each normal generator within the preset time length according to the load data of each normal generator within the first time length, the first time length being before the preset time length.

[0056] S42, adjusting the initial load change trend according to the historical load data to generate the load change trend of each normal generator within the preset time length.

[0057] Obtain the load data of each normal generator within a first time length (the previous 4 hours), and process these short-term data by using a time series analysis method.

[0058] For example, within the first time length, the load of the No. 2 generator shows a clear upward trend, with an average increase of about 4% per hour; the load of the No. 3 generator also shows an upward trend, but the increase is smaller, with an average increase of about 2.8% per hour; the load of the No. 4 generator shows a downward trend, with an average decrease of about 2.2% per hour; and the load of the No. 5 generator shows a relatively clear downward trend, with an average decrease of about 3.5% per hour. Based on these short-term data, the load change trend of each generator within the preset time length (the next 2 hours) is preliminarily predicted by using a trend extrapolation method, and the initial prediction result is obtained: the load of the No. 2 generator is expected to increase by 16%, the load of the No. 3 generator is expected to increase by 11%, the load of the No. 4 generator is expected to decrease by 9%, and the load of the No. 5 generator is expected to decrease by 14%.

[0059] By analyzing the historical load data of a longer time period (such as the previous week or the previous month), it is found that the actual load change amplitude of the generator is usually smaller than the predicted value of the short-term data under similar time periods and operating conditions. Therefore, the initial prediction result needs to be corrected, and the load change trend of each generator is adjusted to a more reasonable level: the load increase of the No. 2 generator is adjusted to 15%, the load increase of the No. 3 generator is adjusted to 10%, the load decrease of the No. 4 generator is adjusted to 8%, and the load decrease of the No. 5 generator is adjusted to 12%.

[0060] On the basis of the above-mentioned embodiments, as an optional implementation, in S104, the first power transfer scheme is adjusted according to the load change trend, and the second power transfer scheme of each normal generator is determined specifically comprising S51-S52:

[0061] S51, obtaining the first normal generator with an upward trend of the load change trend, reducing the target output power of the first normal generator, generating a second power transfer scheme of the first normal generator, and the reduction range of the target output power of the first normal generator increases with the increase of the upward trend.

[0062] S52, obtaining the second normal generator with a downward trend of the load change trend, increasing the target output power of the second normal generator, generating a second power transfer scheme of the second normal generator, and the increase range of the target output power of the second normal generator increases with the increase of the downward trend.

[0063] In order to optimize the first power transfer scheme according to the load change trend, different adjustment strategies need to be taken for generators with different change trends. First, identify the first normal generator with an upward trend of the load change trend, including the No. 2 generator (up 15%) and the No. 3 generator (up 10%). Since the load of these generators will naturally increase within a preset time, their target output power needs to be appropriately reduced to reserve sufficient adjustment margin.

[0064] The calculation of the reduction range takes into account the degree of load increase trend, and the adjustment amount is obtained by multiplying the target output power in the first power transfer scheme by the corresponding upward trend proportion: the target output power of the No. 2 generator is reduced from 172MW to 146MW by 15%, and the target output power of the No. 3 generator is reduced from 229MW to 206MW by 10%. Then identify the second normal generator with a downward trend of the load change trend, including the No. 4 generator (down 8%) and the No. 5 generator (down 12%). Since the load of these generators will naturally decrease within a preset time, their target output power can be appropriately increased to fully utilize the capacity to be released. The calculation of the increase range also takes into account the degree of load decrease trend, and the adjustment amount is obtained by multiplying the target output power in the first power transfer scheme by the corresponding downward trend proportion: the target output power of the No. 4 generator is increased from 205MW to 221MW by 8%, and the target output power of the No. 5 generator is increased from 184MW to 206MW by 12%.

[0065] S105, obtaining historical operating parameters of each normal generator within a preset sampling time, calculating a health index of each normal generator according to the historical operating parameters, adjusting the second power transfer scheme according to the health index, and determining a target power transfer scheme of each normal generator.

[0066] To further ensure the safety and reliability of power transfer, it is necessary to evaluate the health degree of the operation state of each normal generator. First, the historical operation parameters of each normal generator in a preset sampling time (such as the previous 24 hours) are obtained from the monitoring system of the power plant, including but not limited to the vibration parameters, temperature parameters, pressure parameters and other key operation indexes of the generator. Then, through comprehensive analysis and evaluation of these operation parameters, the health index of each normal generator is calculated.

[0067] Specifically, each operation parameter is compared with its standard value, the parameter deviation rate is calculated, and the weight coefficient is set according to the importance of different parameters. The health index of the generator is calculated by weighted calculation. The closer the health index is to 1, the better the operation state of the generator is. In this embodiment, the health index of No. 2 generator is 0.95, the health index of No. 3 generator is 0.88, the health index of No. 4 generator is 0.92, and the health index of No. 5 generator is 0.85. Based on the health index of each generator, the second power transfer scheme needs to be adjusted accordingly: for the generator with higher health index, the transferred power it bears can be appropriately increased, and for the generator with lower health index, the transferred power it bears should be correspondingly reduced. When adjusting, the health index of each generator is used as a correction coefficient to correct the target output power in the second power transfer scheme.

[0068] Specifically, the target output power of No. 2 generator is adjusted from 146 MW to 159 MW, the target output power of No. 3 generator is adjusted from 206 MW to 195 MW, the target output power of No. 4 generator is adjusted from 221 MW to 228 MW, and the target output power of No. 5 generator is adjusted from 206 MW to 197 MW, thereby obtaining the final target power transfer scheme.

[0069] On the basis of the above embodiment, as an optional implementation manner, the historical operation parameters include temperature, vibration frequency and conversion efficiency, and the calculation of the health index of each normal generator according to the historical operation parameters specifically includes S61-S3:

[0070] S61, a first difference value of the temperature and the standard temperature, a second difference value of the vibration frequency and the standard vibration frequency, and a third difference value of the conversion efficiency and the standard conversion efficiency are calculated.

[0071] S62, the weight coefficient of the first difference value is the first coefficient, the weight coefficient of the second difference value is the second coefficient, and the weight coefficient of the third difference value is the third coefficient.

[0072] S63, the product of the first difference value and the first coefficient, the product of the second difference value and the second coefficient, and the product of the third difference value and the third coefficient are added to obtain the health index of each normal generator.

[0073] The first difference of the No. 2 generator is -5℃, the second difference is -2Hz, and the third difference is -1% by calculating the actual temperature 75℃, the standard temperature 70℃, the vibration frequency 48Hz, the standard vibration frequency 50Hz, and the conversion efficiency 95% compared with the standard conversion efficiency 96%. The first difference of the No. 3 generator is -8℃, the second difference is -4Hz, and the third difference is -2% by calculating the actual temperature 75℃, the standard temperature 70℃, the vibration frequency 48Hz, the standard vibration frequency 50Hz, and the conversion efficiency 95% compared with the standard conversion efficiency 96%. The first difference of the No. 4 generator is -6℃, the second difference is -3Hz, and the third difference is -1.5% by calculating the actual temperature 75℃, the standard temperature 70℃, the vibration frequency 48Hz, the standard vibration frequency 50Hz, and the conversion efficiency 95% compared with the standard conversion efficiency 96%. The first difference of the No. 5 generator is -9℃, the second difference is -5Hz, and the third difference is -2.5% by calculating the actual temperature 75℃, the standard temperature 70℃, the vibration frequency 48Hz, the standard vibration frequency 50Hz, and the conversion efficiency 95% compared with the standard conversion efficiency 96%.

[0074] The first coefficient of the temperature parameter is set to 0.4, the second coefficient of the vibration frequency parameter is set to 0.35, and the third coefficient of the conversion efficiency parameter is set to 0.25 based on the influence degree of each parameter on the operation state of the generator.

[0075] The health index of the No. 2 generator is (-5×0.4)+(-2×0.35)+(-1×0.25)=-3.15 by multiplying each difference with the corresponding weight coefficient and summing up. The health index of the No. 3 generator is (-8×0.4)+(-4×0.35)+(-2×0.25)=-5.3. The health index of the No. 4 generator is (-6×0.4)+(-3×0.35)+(-1.5×0.25)=-3.975. The health index of the No. 5 generator is (-9×0.4)+(-5×0.35)+(-2.5×0.25)=-6.225.

[0076] On the basis of the above embodiment, as an optional implementation, in S105, the second power transfer scheme is adjusted according to the health index, and the target power transfer scheme of each normal generator is determined, which specifically includes S71-S72.

[0077] S71, a third normal generator whose health index exceeds the health threshold is obtained, the target output power of the third normal generator in the second power transfer scheme is increased, the target power transfer scheme of the third normal generator is generated, and the increase range of the target output power of the third normal generator increases with the increase of the health index.

[0078] S72, a fourth normal generator whose health index is lower than the health threshold is obtained, the target output power of the fourth normal generator in the second power transfer scheme is reduced, the target power transfer scheme of the fourth normal generator is determined, and the reduction range of the target output power of the fourth normal generator increases with the decrease of the health index.

[0079] To ensure the safety and reliability of the power transfer scheme, the second power transfer scheme needs to be further optimized according to the health status of the generators. First, set the health threshold to -4.0, compare the health index of each generator with the threshold, and find that the health index of No. 2 generator (-3.15) and No. 4 generator (-3.975) is higher than the threshold, which belongs to the third normal generator; while the health index of No. 3 generator (-5.3) and No. 5 generator (-6.225) is lower than the threshold, which belongs to the fourth normal generator. For the third normal generator with better health index, the power it bears can be appropriately increased: the health index of No. 2 generator is 0.85 higher than the threshold, so the target output power is increased by 8.5%, from 146MW to 158MW; the health index of No. 4 generator is close to the threshold, only 0.025 higher, so the target output power is increased by 0.25%, from 221MW to 221.5MW. For the fourth normal generator with poor health index, the power it bears needs to be appropriately reduced: the health index of No. 3 generator is 1.3 lower than the threshold, so the target output power is reduced by 13%, from 206MW to 179MW; the health index of No. 5 generator is 2.225 lower than the threshold, so the target output power is reduced by 22.25%, from 206MW to 160MW.

[0080] S106, according to the target power transfer scheme, adjust the output power of each normal generator.

[0081] After determining the target power transfer scheme, the output power of each normal generator needs to be adjusted to realize the smooth transfer of the load of the abnormal generator. First, calculate the power difference between the current output power and the target output power of each normal generator, where No. 2 generator needs to increase 9MW (from 150MW to 159MW), No. 3 generator needs to reduce 5MW (from 200MW to 195MW), No. 4 generator needs to increase 48MW (from 180MW to 228MW), and No. 5 generator needs to increase 37MW (from 160MW to 197MW). Then, based on the size of the power difference, a step-by-step adjustment scheme is developed, which divides the larger power adjustment into multiple smaller adjustment steps, and the power increment of each step is not more than 5% of the rated power of the generator, to ensure the stable operation of the generator set.

[0082] For example, for the No. 4 generator which needs to increase 48 MW, the adjustment process can be divided into 3 steps, each step adjusting 16 MW; for the No. 5 generator which needs to increase 37 MW, it can be divided into 2 steps, each step adjusting about 18.5 MW; and for the No. 2 and No. 3 generators which have smaller power adjustment amount, the adjustment can be completed in one step. In the specific implementation of the adjustment, the generator with smaller power difference is adjusted first, and the adjustment is performed in the order of No. 2, No. 3, No. 5, and No. 4 generators, and the operating state of the generator is monitored after each adjustment to ensure that each operating parameter is within the normal range. Through the step-by-step adjustment method, the sudden change of the output power of the generator can be avoided, the impact of power adjustment on the generator set can be reduced, and the stability of the power transfer process can be ensured. At the same time, by monitoring the operating state of the generator in real time, abnormal situations that may occur during the adjustment process can be found and handled in time, and the safety and reliability of the power transfer can be ensured. The power transfer method based on step-by-step adjustment not only can realize the effective transfer of abnormal generator load, but also can ensure the stable operation of the generator set and improve the overall operation efficiency of the power plant.

[0083] According to the target power transfer scheme, after adjusting the output power of each normal generator, the method further comprises:

[0084] Monitoring the actual output power of each normal generator within a preset monitoring time; when the actual output power of any normal generator does not meet the preset requirement, sending a warning information to the terminal device of the operator to enable the operator to troubleshoot the fault.

[0085] In order to ensure the effective implementation of the power transfer scheme and the safety and reliability of the system operation, a real-time monitoring and warning mechanism needs to be established. After adjusting the output power of each normal generator according to the target power transfer scheme, the system will continuously monitor the actual output power of each generator within a preset monitoring time (such as 15 minutes).

[0086] The system compares the actual output power with preset requirements, including that the power fluctuation range is not more than ±5% of the target output power, and the power change rate is not more than 3 MW / min. In this embodiment, it is found through monitoring that the actual output power of No. 2 generator fluctuates in the range of 158±7.9 MW, meeting the preset requirements; the actual output power of No. 3 generator abnormally fluctuates, with a maximum deviation of 7.8% of the target value, exceeding the preset range of ±5%; during the power regulation process of No. 4 generator, a rapid change of 4.2 MW / min occurs, exceeding the limit of 3 MW / min; the actual output power of No. 5 generator is basically stable in the range of 160±8 MW, meeting the preset requirements. When the system detects the abnormal conditions of No. 3 and No. 4 generators, it immediately generates early warning information containing detailed abnormal information, and sends the early warning information to the mobile terminal device (such as a mobile phone App or a tablet computer) of the operator through the network communication module. The early warning information contains key information such as the number of the abnormal generator, the current actual output power, the target output power, the abnormal type (exceeding the fluctuation range or exceeding the change rate), and the occurrence time, so that the operator can quickly locate the problem and perform targeted troubleshooting and processing.

[0087] Based on the above method, the application also discloses a detection system for electric power engineering, as shown in Figure 2 Figure 2 is a structural schematic diagram of a detection system for electric power engineering provided by an embodiment of the application, and the system comprises an acquisition module, a determination module, a combination module, a first adjustment module, a second adjustment module and an output module; wherein

[0088] The acquisition module is used for acquiring the output power and the rated power of each normal generator in the remaining normal generators and the to-be-transferred load power of the abnormal generator when there is an abnormal generator in the generator set of the power plant; the determination module is used for determining the remaining bearable power of each normal generator according to the output power and the rated power; the combination module is used for determining a first power transfer scheme of each normal generator by combining the remaining bearable power and the to-be-transferred load power; the first adjustment module is used for acquiring historical load data of each normal generator, predicting a load change trend of each normal generator within a preset time length according to the historical load data, and adjusting the first power transfer scheme according to the load change trend to determine a second power transfer scheme of each normal generator; the second adjustment module is used for acquiring historical operating parameters of each normal generator within a preset sampling time, calculating a health index of each normal generator according to the historical operating parameters, and adjusting the second power transfer scheme according to the health index to determine a target power transfer scheme of each normal generator; and the output module is used for adjusting the output power of each normal generator according to the target power transfer scheme.

[0089] ​It should be noted that the apparatus provided by the above examples is only used as an example for the division of the above functional modules when realizing its functions, and in actual application, the above functions can be completed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to complete all or part of the above described functions. In addition, the apparatus and method embodiments provided by the above examples belong to the same concept, and the specific implementation process is detailed in the method embodiments, which will not be described here.

[0090] Please refer to Figure 3 A structural schematic diagram of an electronic device is provided for the embodiments of the present application. As shown in the figure Figure 3 The electronic device 1000 can include at least one processor 1001, at least one network interface 1004, a user interface 1003, a memory 1005, and at least one communication bus 1002.

[0091] The communication bus 1002 is used to realize the connection and communication between the components.

[0092] The user interface 1003 can include a display screen (Display) and a camera (Camera), and the optional user interface 1003 can also include a standard wired interface and a wireless interface.

[0093] The network interface 1004 can optionally include a standard wired interface and a wireless interface (such as a WI-FI interface).

[0094] The processor 1001 can include one or more processing cores. The processor 1001 connects various parts within the server through various interfaces and lines, and performs various functions of the server and processes data by running or executing instructions, programs, code sets or instruction sets stored in the memory 1005, and calling data stored in the memory 1005. Alternatively, the processor 1001 can be implemented in at least one of a hardware form of a digital signal processing (DSP), a field-programmable gate array (FPGA), and a programmable logic array (PLA). The processor 1001 can integrate a combination of one or more of a central processing unit (CPU), a graphics processing unit (GPU), and a modem. Among them, the CPU mainly processes operating systems, user interfaces, and application programs; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; and the modem is used for processing wireless communication. It can be understood that the above-mentioned modem can also not be integrated into the processor 1001, but can be realized by a separate chip.

[0095] The memory 1005 can include a random access memory (RAM) and a read-only memory (ROM). Optionally, the memory 1005 includes a non-transitory computer-readable storage medium. The memory 1005 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 1005 can include a program storage area and a data storage area, wherein the program storage area can store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area can store data involved in the above-mentioned various method embodiments, etc. The memory 1005 can also be at least one storage device located away from the aforementioned processor 1001. As shown, the memory 1005 as a computer storage medium can include an operating system, a network communication module, a user interface module, and an application program of a power engineering detection method. Figure 3

[0096] In Figure 3 ​In the electronic device 1000 shown, the user interface 1003 is mainly used to provide an interface for the user to input, and obtain data input by the user; and the processor 1001 can be used to call an application program stored in the memory 1005 and storing a detection method of a power engineering, which, when executed by one or more processors, causes the electronic device to perform the method described in one or more of the above embodiments.

[0097] An electronic device readable storage medium stores instructions that, when executed by one or more processors, cause an electronic device to perform the method described in one or more of the above embodiments.

[0098] It should be noted that, for the foregoing method embodiments, in order to simply describe, they are all described as a series of action combinations, but those skilled in the art should know that the present application is not limited to the order of the actions described, because according to the present application, certain steps can be performed in other order or at the same time. Secondly, those skilled in the art should know that the embodiments described in the specification all belong to preferred embodiments, and the actions and modules involved are not necessarily required by the present application.

[0099] In the above embodiments, the description of each embodiment has its own focus, and the parts not described in detail in a certain embodiment can be referred to the related description of other embodiments.

[0100] In several embodiments provided in the present application, it should be understood that the disclosed devices can be implemented by other means. For example, the device embodiments described above are only schematic, and the division of the units is only a logical function division, and actual implementation can have another division manner, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the units shown or discussed can be indirect coupling or communication connection through some service interface, device or unit, and can be electrical or other forms.

[0101] The units described as separate components can or can not be physically separate, and the components shown as units can or can not be physical units, i.e. they can be located in one place, or can be distributed on a plurality of network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the embodiment.

[0102] In addition, each functional unit in each embodiment of the present application can be integrated in one processing unit, or each unit can exist physically, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware or in the form of a software functional unit.

[0103] The integrated unit, if implemented in the form of a software function unit and sold or used as an independent product, can be stored in a computer readable memory. Based on such understanding, the technical solutions of the present application essentially or the part that contributes to the prior art or the whole or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a memory and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server or a network device, etc.) to execute all or part of the steps of the method described in the embodiments of the present application. The aforementioned memory includes: a U disk, a mobile hard disk, a magnetic disk or an optical disk, and various media that can store program codes.

[0104] The above is only exemplary embodiments of the present disclosure, and cannot limit the scope of the present disclosure. That is, any equivalent changes and modifications made in accordance with the teachings of the present disclosure are still within the scope of the present disclosure. Other embodiments of the present disclosure will be readily apparent to those skilled in the art upon considering the specification and practicing the disclosure herein. The present application is intended to cover any variations, uses or adaptive changes of the present disclosure that follow the general principles of the present disclosure and include common knowledge or conventional techniques in the art that are not described in the present disclosure. The specification and examples are only considered as exemplary, and the scope and spirit of the present disclosure are defined by the claims.

Claims

1. A method of detecting an electric power engineering, characterized by, The method comprises: When there is an abnormal generator in a generator set of a power plant, obtaining the output power and rated power of each normal generator in the remaining normal generators and the load power to be transferred of the abnormal generator; According to the output power and the rated power, determining the remaining bearable power of each normal generator; Combining the remaining bearable power and the load power to be transferred, determining a first power transfer scheme of each normal generator; the combining the remaining bearable power and the load power to be transferred, determining a first power transfer scheme of each normal generator, comprises: according to the proportion of the remaining bearable power of each normal generator in the total remaining bearable power of all normal generators, determining a power distribution coefficient of each normal generator; arithmetically multiplying the load power to be transferred and the power distribution coefficient to obtain the target transfer power to be borne by each normal generator; arithmetically adding the output power of each normal generator and the corresponding target transfer power to obtain the target output power of each normal generator, and taking the target output power as the first power transfer scheme of each normal generator; Obtaining historical load data of each normal generator, according to the historical load data, predicting the load change trend of each normal generator within a preset time length, and adjusting the first power transfer scheme according to the load change trend to determine a second power transfer scheme of each normal generator; Obtaining historical operating parameters of each normal generator within a preset sampling time, calculating a health index of each normal generator according to the historical operating parameters, adjusting the second power transfer scheme according to the health index to determine a target power transfer scheme of each normal generator; the historical operating parameters include temperature, vibration frequency and conversion efficiency, and the calculating a health index of each normal generator according to the historical operating parameters comprises: calculating a first difference value of the temperature and a standard temperature, a second difference value of the vibration frequency and a standard vibration frequency, and a third difference value of the conversion efficiency and a standard conversion efficiency; determining a weight coefficient of the first difference value as a first coefficient, a weight coefficient of the second difference value as a second coefficient, and a weight coefficient of the third difference value as a third coefficient; adding the product of the first difference value and the first coefficient, the product of the second difference value and the second coefficient, and the product of the third difference value and the third coefficient to obtain the health index of each normal generator; According to the target power transfer scheme, adjusting the output power of each normal generator.

2. The detection method of power engineering according to claim 1, characterized in that, The predicting the load change trend of each normal generator within a preset time length according to the historical load data comprises: Obtaining load data of each normal generator within a first time length, and predicting an initial load change trend of each normal generator within a preset time length according to the load data of each normal generator within the first time length, the first time length being before the preset time length; The initial load change trend is adjusted according to the historical load data, and a load change trend of each normal generator in the preset time length is generated.

3. The detection method of power engineering according to claim 1, characterized in that, The first power transfer scheme is adjusted according to the load change trend, and a second power transfer scheme of each normal generator is determined, including: A first normal generator with an upward trend in the load change trend is obtained, the target output power of the first normal generator is reduced, and a second power transfer scheme of the first normal generator is generated, and the reduction amplitude of the target output power of the first normal generator increases with the increase of the upward trend; A second normal generator with a downward trend in the load change trend is obtained, the target output power of the second normal generator is increased, and a second power transfer scheme of the second normal generator is generated, and the increase amplitude of the target output power of the second normal generator increases with the increase of the downward trend.

4. The detection method of power engineering according to claim 3, characterized in that, The second power transfer scheme is adjusted according to the health index, and a target power transfer scheme of each normal generator is determined, including: A third normal generator with a health index exceeding a health threshold is obtained, the target output power of the third normal generator in the second power transfer scheme is increased, and a target power transfer scheme of the third normal generator is generated, and the increase amplitude of the target output power of the third normal generator increases with the increase of the health index; A fourth normal generator with a health index lower than the health threshold is obtained, the target output power of the fourth normal generator in the second power transfer scheme is reduced, and a target power transfer scheme of the fourth normal generator is determined, and the reduction amplitude of the target output power of the fourth normal generator increases with the decrease of the health index.

5. The detection method of power engineering according to claim 1, characterized in that, After adjusting the output power of each normal generator according to the target power transfer scheme, the method further includes: Monitoring the actual output power of each normal generator in a preset monitoring time; When the actual output power of any normal generator does not meet the preset requirement, sending a warning information to a terminal device of an operator to make the operator troubleshoot.

6. An electrical power engineering detection system, characterized in that The system includes an acquisition module, a determination module, a combination module, a first adjustment module, a second adjustment module, and an output module, wherein: The acquisition module is configured to, when there is an abnormal generator in a generator set of a power plant, acquire the output power and the rated power of each normal generator in the remaining normal generators, and the load power to be transferred of the abnormal generator; The determination module is configured to determine the remaining bearable power of each normal generator according to the output power and the rated power; The first adjustment module is configured to adjust the first power transfer scheme according to the load change trend, and determine the second power transfer scheme of each normal generator, including: A first normal generator with an upward trend in the load change trend is obtained, the target output power of the first normal generator is reduced, and a second power transfer scheme of the first normal generator is generated, and the reduction amplitude of the target output power of the first normal generator increases with the increase of the upward trend; A second normal generator with a downward trend in the load change trend is obtained, the target output power of the second normal generator is increased, and a second power transfer scheme of the second normal generator is generated, and the increase amplitude of the target output power of the second normal generator increases with the increase of the downward trend. The second adjustment module is configured to adjust the second power transfer scheme according to the health index, and determine the target power transfer scheme of each normal generator, including: A third normal generator with a health index exceeding a health threshold is obtained, the target output power of the third normal generator in the second power transfer scheme is increased, and a target power transfer scheme of the third normal generator is generated, and the increase amplitude of the target output power of the third normal generator increases with the increase of the health index; A fourth normal generator with a health index lower than the health threshold is obtained, the target output power of the fourth normal generator in the second power transfer scheme is reduced, and a target power transfer scheme of the fourth normal generator is determined, and the reduction amplitude of the target output power of the fourth normal generator increases with the decrease of the health index. The output module is configured to, after adjusting the output power of each normal generator according to the target power transfer scheme, further include: Monitoring the actual output power of each normal generator in a preset monitoring time; When the actual output power of any normal generator does not meet the preset requirement, sending a warning information to a terminal device of an operator to make the operator troubleshoot. The combining module is configured to combine the remaining bearable power and the load power to be transferred to determine a first power transfer scheme of each normal generator; the combining the remaining bearable power and the load power to be transferred to determine the first power transfer scheme of each normal generator comprises: determining a power distribution coefficient of each normal generator according to a proportion of the remaining bearable power of each normal generator in a total sum of the remaining bearable power of all normal generators; performing an arithmetic multiplication of the load power to be transferred and the power distribution coefficient to obtain a target transfer power to be borne by each normal generator; and performing an arithmetic addition of an output power of each normal generator and the corresponding target transfer power to obtain a target output power of each normal generator, and taking the target output power as the first power transfer scheme of each normal generator; The first adjusting module is configured to obtain historical load data of each normal generator, predict a load change trend of each normal generator within a preset time length according to the historical load data, and adjust the first power transfer scheme according to the load change trend to determine a second power transfer scheme of each normal generator; The second adjusting module is configured to obtain historical operating parameters of each normal generator within a preset sampling time, calculate a health index of each normal generator according to the historical operating parameters, and adjust the second power transfer scheme according to the health index to determine a target power transfer scheme of each normal generator; the historical operating parameters comprise temperature, vibration frequency and conversion efficiency; the calculating the health index of each normal generator according to the historical operating parameters comprises: calculating a first difference value of the temperature and a standard temperature, a second difference value of the vibration frequency and a standard vibration frequency, and a third difference value of the conversion efficiency and a standard conversion efficiency; determining a weight coefficient of the first difference value as a first coefficient, a weight coefficient of the second difference value as a second coefficient, and a weight coefficient of the third difference value as a third coefficient; and adding a product of the first difference value and the first coefficient, a product of the second difference value and the second coefficient, and a product of the third difference value and the third coefficient to obtain the health index of each normal generator; The output module is configured to adjust the output power of each normal generator according to the target power transfer scheme.

7. An electronic device, comprising: An electronic device comprising a processor, a memory, a user interface and a network interface, the memory being configured to store instructions, the user interface and the network interface being configured to communicate with other devices, and the processor being configured to execute the instructions stored in the memory to enable the electronic device to perform the method of any one of claims 1-5.

8. A computer-readable storage medium, characterized in that, A computer program stored in a memory and capable of being loaded and executed by a processor to perform the method of any one of claims 1-5.

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