Detection method, system and equipment for electric power engineering and storage medium

Abstract

The invention provides an electric power engineering detection method, system and device and a storage medium, and relates to the technical field of power plant operation management, and the method comprises the steps: determining the remaining bearable power of each normal generator according to the output power and rated power of each normal generator; determining a first power transfer scheme of each normal generator in combination with the residual bearable power and the to-be-transferred load power of the abnormal motor; according to the historical load data, predicting a load change trend of each normal generator in a preset duration, and adjusting the first power transfer scheme according to the load change trend to determine a second power transfer scheme; and adjusting the second power transfer scheme according to the historical operation parameters, determining a target power transfer scheme of each normal generator, and adjusting the output power of each normal generator. The method has the technical effects of accurately transferring and distributing the load power of the abnormal generator and ensuring safe and stable operation of the generator set.

Description

Technical Field

[0001] The present application relates to the technical field of power plant operation management, and specifically to a detection method, system, equipment and storage medium for power engineering. Background Art

[0002] During the operation of the power system, when a generator set in a power plant fails, the load of the failed generator needs to be transferred to other normally operating generators in a timely manner to ensure the stable operation of the power system and the power demand. If the transfer plan is unreasonable, some generators may be overloaded or the load distribution may be uneven, affecting the safety and reliability of the power system.

[0003] In the prior art, the load power of abnormal generators is usually transferred and distributed according to the preset distribution ratio based on the rated power and 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 during actual operation, resulting in a large deviation between the power distribution plan and the actual operating conditions, which cannot meet the actual needs of safe and stable operation of the generator set. Summary of the invention

[0004] The present application provides a detection method for electric power engineering, which is used to accurately transfer and distribute the load power of abnormal generators to ensure the safe and stable operation of the generator set.

[0005] In a first aspect, the present application provides a detection method for an electric power engineering project, the method comprising: 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 among the remaining normal generators, and the load power to be transferred of the abnormal motor; determining the remaining bearable power of each normal generator based on the output power and the rated power; determining a first power transfer scheme for each normal generator in combination with the remaining bearable power and the load power to be transferred; obtaining historical load data of each normal generator, predicting the load change trend of each normal generator within a preset time period based on the historical load data, and adjusting the first power transfer scheme based on the load change trend to determine a second power transfer scheme for each normal generator; obtaining historical operating parameters of each normal generator within a preset sampling time, calculating the health index of each normal generator based on the historical operating parameters, adjusting the second power transfer scheme based on the health index, and determining a target power transfer scheme for each normal generator; adjusting the output power of each normal generator based on the target power transfer scheme.

[0006] By adopting the above technical solution, the first power transfer scheme is determined by first obtaining the basic parameters of the normal generator, and then the load change trend is predicted by combining the historical load data to adjust the second power transfer scheme, and finally the health index is calculated according to the historical operating parameters for further optimization to obtain the target power transfer scheme, which realizes the comprehensive consideration of the static parameters and dynamic characteristics of the generator. This method not only ensures the rationality of power distribution through three-step progressive optimization, but also effectively prevents the operating risks caused by the load change of the generator and the deterioration of the equipment state, accurately performs the load power transfer distribution of the abnormal generator, and ensures the safe and stable operation of the generator set.

[0007] Optionally, the first power transfer scheme of each of the normal generators is determined by combining the remaining borne power and the load power to be transferred, including: determining the power allocation coefficient of each normal generator according to the ratio of the remaining borne power of each normal generator to the total remaining borne power of all normal generators; arithmetically multiplying the load power to be transferred by the power allocation 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 using the target output power as the first power transfer scheme of each normal generator.

[0008] By adopting the above technical solution, 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 this 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, avoiding the generator overload problem that may be caused by simply distributing according to the rated power ratio, and ensuring the rationality and feasibility of the power transfer plan.

[0009] Optionally, predicting the load change trend of each of the normal generators within a preset time length based on the historical load data includes: obtaining the load data of each of the normal generators within a first time length, and predicting the initial load change trend of each of the normal generators within a preset time length based on the load data of each of the normal generators within the first time length, the first time length being before the preset time length; adjusting the initial load change trend according to the historical load data to generate the load change trend of each of the normal generators within the preset time length.

[0010] By adopting the above technical solution, the initial load change trend is predicted by acquiring the load data within the first time period, and adjusted in combination with longer-term historical load data. The prediction result not only reflects the recent load change characteristics of the generator, but also takes into account the long-term operating rules, thereby improving the accuracy and reliability of the load change trend prediction, and providing a more accurate basis for the optimization of the subsequent power transfer scheme.

[0011] Optionally, the first power transfer scheme is adjusted according to the load change trend to determine the second power transfer scheme for each of the normal generators, including: obtaining a first normal generator whose load change trend is increasing, reducing the target output power of the first normal generator, and generating a second power transfer scheme for the first normal generator, wherein the reduction amplitude of the target output power of the first normal generator increases with the increase of the increasing trend; obtaining a second normal generator whose load change trend is decreasing, increasing the target output power of the second normal generator, and generating a second power transfer scheme for the second normal generator, wherein the increase amplitude of the target output power of the second normal generator increases with the increase of the decreasing trend.

[0012] By adopting the above technical solution, through the analysis of the load change trend, 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 degree of trend change, thus realizing the dynamic optimization of power distribution. This trend-based dynamic adjustment mechanism avoids the overload of the generator with a rapidly increasing load due to the additional transfer power, while making full use of the available capacity of the generator with a decreasing load, improving the rationality of power distribution and the safety of system operation.

[0013] Optionally, the historical operating parameters include temperature, vibration frequency and conversion efficiency, and calculating the health index of each of the normal generators based on the historical operating parameters includes: calculating a first difference between the temperature and a standard temperature, a second difference between the vibration frequency and a standard vibration frequency, and a third difference between the conversion efficiency and the standard conversion efficiency; determining a weight coefficient of the first difference as a first coefficient, a weight coefficient of the second difference as a second coefficient, and a weight coefficient of the third difference as a third coefficient; adding the product of the first difference and the first coefficient, the product of the second difference and the second coefficient, and the product of the third difference and the third coefficient to obtain the health index of each of the normal generators.

[0014] By adopting the above technical solution, the deviation of the three key operating parameters of temperature, vibration frequency and conversion efficiency from their standard values ​​is comprehensively considered, and the corresponding weight coefficients are introduced for weighted calculation to obtain a health index that can fully reflect the operating status of the generator. This multi-parameter weighted evaluation method not only considers the degree of influence of different operating parameters on the equipment status, but also can accurately reflect the overall health status of the generator, providing a reliable quantitative basis for the optimization of subsequent power transfer schemes.

[0015] Optionally, the second power transfer scheme is adjusted according to the health index to determine the target power transfer scheme of each of the normal generators, including: obtaining 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, and generating a target power transfer scheme for the third normal generator, wherein the increase in the target output power of the third normal generator increases as the health index increases; obtaining 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, and determining the target power transfer scheme for the fourth normal generator, wherein the decrease in the target output power of the fourth normal generator increases as the health index decreases.

[0016] By adopting the above technical solution, by setting the health threshold as the evaluation criterion, the target output power is increased for generators with higher health index, and the target output power is reduced for generators with lower health index, and the adjustment range is proportional to the degree of deviation of the health index, thus realizing the optimization of power distribution based on the health status of the equipment. This differentiated adjustment strategy not only fully utilizes the available capacity of generators in good condition, but also reduces the load pressure of generators in poor condition, effectively preventing the degradation of equipment performance and extending the service life of the generator set.

[0017] Optionally, after adjusting the output power of each of the normal generators according to the target power transfer scheme, it also includes: monitoring the actual output power of each of the normal generators within a preset monitoring time; when the actual output power of any of the normal generators does not meet the preset requirements, sending an early warning message to the terminal device of the operator, so that the operator can perform troubleshooting.

[0018] By adopting the above technical solution, the actual output power of normal generators is monitored in real time, and early warning information is sent to operators in time when the output power does not meet the preset requirements. This realizes real-time monitoring and rapid response to the execution effect of the power transfer plan, which helps operators to promptly discover and eliminate potential faults, and ensure the effective implementation of the power transfer plan and the safe operation of the generator set.

[0019] In a second aspect, the present application provides a detection system for an electric power engineering project, the system comprising: 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 used to obtain the output power and rated power of each normal generator among the remaining normal generators, and the load power to be transferred of the abnormal motor when there is an abnormal generator in the generator set of the power plant; the determination module is used to determine the remaining bearable power of each normal generator based on the output power and the rated power; the combination module is used to determine the first power transfer plan of each normal generator by combining the remaining bearable power and the load power to be transferred; the first adjustment module is used to acquire The historical load data of each of the normal generators is used to predict the load change trend of each of the normal generators within a preset time period based on the historical load data, and the first power transfer plan is adjusted according to the load change trend to determine the second power transfer plan of each of the normal generators; the second adjustment module is used to obtain the historical operating parameters of each of the normal generators within a preset sampling time, calculate the health index of each of the normal generators based on the historical operating parameters, adjust the second power transfer plan according to the health index, and determine the target power transfer plan of each of the normal generators; the output module is used to adjust the output power of each of the normal generators according to the target power transfer plan.

[0020] In a third aspect, the present application provides an electronic device that adopts the following technical solution: it includes a processor, a memory, a user interface and a network interface, the memory is used to store instructions, the user interface and the network interface are used to communicate with other devices, and the processor is used to execute the instructions stored in the memory so that the electronic device executes a computer program such as any of the above-mentioned power engineering detection methods.

[0021] In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution: storing a computer program that can be loaded by a processor and execute any of the above-mentioned power engineering detection methods.

[0022] In summary, the present application includes at least one of the following beneficial technical effects: The first power transfer scheme is determined by first obtaining the basic parameters of the normal generator, and then the load change trend is predicted by combining historical load data to adjust the second power transfer scheme. Finally, the health index is calculated based on the historical operating parameters for further optimization to obtain the target power transfer scheme, which fully considers the static parameters and dynamic characteristics of the generator. This method uses three-step progressive optimization to not only ensure the rationality of power distribution, but also effectively prevent the operating risks caused by generator load changes and equipment state degradation, accurately perform load power transfer distribution of abnormal generators, and ensure safe and stable operation of the generator set. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 It is a flow chart of a detection method for electric power engineering provided in an embodiment of the present application; Figure 2 It is a structural schematic diagram of a detection system for electric power engineering provided in an embodiment of the present application; Figure 3 It is a structural schematic diagram of an electronic device provided in an embodiment of the present application.

[0024] Description of reference numerals: 1000, electronic device; 1001, processor; 1002, communication bus; 1003, user interface; 1004, network interface; 1005, memory. DETAILED DESCRIPTION

[0025] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this application, not all of the embodiments.

[0026] In the description of the embodiments of the present application, words such as "illustrative", "for example" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "illustrative", "for example" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "illustrative", "for example" or "for example" is intended to present related concepts in a concrete way.

[0027] Figure 1 FIG. 1 is a flow chart of a detection method for an electric power project provided in an embodiment of the present application. Figure 1 As shown, the method includes S101-S106: S101, when there is an abnormal generator in the generator set of the power plant, the output power and rated power of each normal generator among the remaining normal generators and the load power to be transferred of the abnormal motor are obtained.

[0028] During the operation of a power plant, when an abnormal generator is detected in a 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 normal generators. Before transferring the load power, it is necessary to first obtain the real-time operating status of each normal generator and the load power to be transferred from the abnormal generator, so as to reasonably allocate the transferred power later.

[0029] Specifically, the output power and rated power data of the remaining normal generators are collected in real time through the monitoring system of the power plant, where the output power represents the actual load size currently borne by the generator, and the rated power represents the maximum load capacity that the generator can bear; at the same time, the output power of the abnormal generator before the abnormality occurs is obtained as the load power to be transferred.

[0030] For example, a power plant has 5 generator sets, among which Generator No. 1 has an abnormality and needs to be shut down for maintenance. The output power before the shutdown is 100MW, that is, the load power to be transferred is 100MW; among the remaining 4 normal generators, Generator No. 2 has an output power of 150MW and a rated power of 300MW, Generator No. 3 has an output power of 200MW and a rated power of 400MW, Generator No. 4 has an output power of 180MW and a rated power of 350MW, and Generator No. 5 has an output power of 160MW and a rated power of 320MW. By obtaining these real-time data, the current load conditions and available capacity of each normal generator can be accurately grasped, providing a data basis for the subsequent reasonable allocation of the load power of abnormal generators, thereby ensuring the feasibility and scientificity of the power transfer plan.

[0031] S102: Determine the remaining power that each normal generator can bear based on the output power and the rated power.

[0032] After obtaining the operating data of each normal generator, in order to scientifically evaluate the actual load bearing capacity of each normal generator, it is necessary to calculate the remaining bearable power of each normal generator.

[0033] Specifically, by subtracting the current output power from the rated power of each normal generator, the remaining bearable power of each normal generator can be obtained. Taking the above embodiment as an example, the remaining bearable power of generator No. 2 is 150MW, which is the rated power of 300MW minus the output power of 150MW; the remaining bearable power of generator No. 3 is 200MW, which is the rated power of 400MW minus the output power of 200MW; the remaining bearable power of generator No. 4 is 170MW, which is the rated power of 350MW minus the output power of 180MW; the remaining bearable power of generator No. 5 is 160MW, which is the rated power of 320MW minus the output power of 160MW. By calculating the remaining bearable power, the remaining capacity of each normal generator can be intuitively reflected, which provides an important basis for the subsequent formulation of power transfer plans.

[0034] S103, determining a first power transfer plan for each normal generator based on the remaining bearable power and the load power to be transferred.

[0035] After determining the remaining borne power of each normal generator, a preliminary power transfer plan needs to be formulated to reasonably distribute the load power of the abnormal generator. First, calculate the power allocation coefficient of each normal generator, which represents the ratio of the remaining borne power of each normal generator to the total remaining borne power of all normal generators. Continuing with the above embodiment, the total remaining borne power of all normal generators is 680MW (150MW+200MW+170MW+160MW), then the power allocation coefficient of generator No. 2 is 150 / 680≈0.22, the power allocation coefficient of generator No. 3 is 200 / 680≈0.29, the power allocation coefficient of generator No. 4 is 170 / 680≈0.25, and the power allocation coefficient of generator No. 5 is 160 / 680≈0.24. Then, multiply the load power to be transferred by the power allocation coefficient of each normal generator to obtain the target transfer power to be borne by each normal generator.

[0036] In this embodiment, the load power to be transferred of the abnormal generator is 100MW, then the target transfer power to be borne by generator No. 2 is 22MW, the target transfer power to be borne by generator No. 3 is 29MW, the target transfer power to be borne by generator No. 4 is 25MW, and the target transfer power to be borne by generator No. 5 is 24MW.

[0037] Finally, the current output power of each normal generator is added to the corresponding target transfer power to obtain the target output power of each normal generator as the first power transfer scheme. Specifically, the target output power of generator No. 2 is 172MW, the target output power of generator No. 3 is 229MW, the target output power of generator No. 4 is 205MW, and the target output power of generator No. 5 is 184MW.

[0038] Based on the above embodiment, as an optional implementation, in S103, combining the remaining bearable power and the load power to be transferred, determining the first power transfer scheme of each normal generator specifically includes S31-S33: S31, determining the power distribution coefficient of each normal generator according to the ratio of the remaining bearable power of each normal generator to the total remaining bearable power of all normal generators.

[0039] S32, arithmetically multiplying the load power to be transferred by the power allocation coefficient to obtain the target transfer power to be borne by each normal generator.

[0040] S33, arithmetically adding the output power of each normal generator to the corresponding target transfer power to obtain the target output power of each normal generator, and using the target output power as the first power transfer scheme of each normal generator.

[0041] Calculate the power allocation coefficient of each normal generator, which reflects the proportion of the available capacity of each normal generator in the total available capacity. In this embodiment, the total remaining power of all normal generators is 680MW, of which the remaining power of generator No. 2 is 150MW, and the corresponding power allocation coefficient is 150 / 680≈0.22; the remaining power of generator No. 3 is 200MW, and the corresponding power allocation coefficient is 200 / 680≈0.29; the remaining power of generator No. 4 is 170MW, and the corresponding power allocation coefficient is 170 / 680≈0.25; the remaining power of generator No. 5 is 160MW, and the corresponding power allocation coefficient is 160 / 680≈0.24.

[0042] Multiply the load power to be transferred of the abnormal generator, 100MW, by the power allocation coefficient of each normal generator, and calculate the target transfer power that each normal generator needs to bear: the target transfer power of generator No. 2 is 100MW×0.22=22MW, the target transfer power of generator No. 3 is 100MW×0.29=29MW, the target transfer power of generator No. 4 is 100MW×0.25=25MW, and the target transfer power of generator No. 5 is 100MW×0.24=24MW.

[0043] The target output power of each normal generator is obtained by adding the current output power of each normal generator to the calculated target transfer power: The target output power of generator No. 2 is 172MW; the target output power of generator No. 3 is 229MW; the target output power of generator No. 4 is 205MW; and the target output power of generator No. 5 is 184MW.

[0044] S104, obtaining historical load data of each normal generator, predicting the load change trend of each normal generator within a preset time period based on the historical load data, and adjusting the first power transfer plan according to the load change trend to determine the second power transfer plan for each normal generator.

[0045] In order to make the power transfer scheme more forward-looking and adaptable, it is necessary to consider the load changes of each normal generator in the future. First, the historical load data of each normal generator is obtained from the database of the power plant, including short-term load data within the first time period (such as the first 4 hours) and historical load data for a longer period of time. By analyzing the load data within the first time period, the time series prediction algorithm is used to predict the initial load change trend of each normal generator within a preset time period (such as the next 2 hours).

[0046] Then, the initial prediction results are corrected by combining historical load data over a longer period of time to obtain a more accurate load change trend. For example, through analysis, it is found that the load of generators 2 and 3 shows an upward trend within the preset time, and the upward trend of generator 2 is more obvious, and the load is expected to increase by 15%; the load of generator 3 is expected to increase by 10%; while the load of generators 4 and 5 shows a downward trend, and the downward trend of generator 5 is more significant, and the load is expected to decrease by 12%; the load of generator 4 is expected to decrease by 8%. Based on these prediction results, the first power transfer plan needs to be adjusted accordingly: for generators No. 2 and 3 whose loads are on an upward trend, their target output powers should be appropriately reduced, and the reduction is proportional to the upward trend. Specifically, the target output power of generator No. 2 is reduced from 172MW to 146MW, and the target output power of generator No. 3 is reduced from 229MW to 206MW; for generators No. 4 and 5 whose loads are on a downward trend, their target output powers should be appropriately increased, and the increase is proportional to the downward trend. The target output power of generator No. 4 is increased from 205MW to 221MW, and the target output power of generator No. 5 is increased from 184MW to 206MW.

[0047] This dynamic adjustment scheme based on load prediction can respond to the load changes of each normal generator in advance, avoid uneven power distribution or generator overload caused by load changes, and improve the foresight 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 be made smoother, reducing the adverse effects of power fluctuations on generator sets, thereby improving the overall operating efficiency and safety of the power plant.

[0048] Based on the above embodiment, as an optional implementation, S104, predicting the load change trend of each normal generator within a preset time period according to historical load data specifically includes S41-S42: S41, obtaining load data of each normal generator within a first time period, and predicting an initial load change trend of each normal generator within a preset time period based on the load data of each normal generator within the first time period, wherein the first time period is before the preset time period.

[0049] S42, adjusting the initial load variation trend according to the historical load data, and generating the load variation trend of each normal generator within a preset time period.

[0050] The load data of each normal generator in the first period (the first 4 hours) are obtained, and these short-term data are processed using time series analysis methods.

[0051] For example, in the first period, the load of generator No. 2 showed a clear upward trend, increasing by about 4% per hour on average; the load of generator No. 3 also showed an upward trend, but the increase was smaller, increasing by about 2.8% per hour on average; the load of generator No. 4 showed a downward trend, decreasing by about 2.2% per hour on average; the load of generator No. 5 showed a more obvious downward trend, decreasing by about 3.5% per hour on average. Based on these short-term data, the trend extrapolation method was used to preliminarily predict the load change trend of each generator within the preset period (the next 2 hours), and the initial prediction results were obtained: the load of generator No. 2 is expected to increase by 16%, the load of generator No. 3 is expected to increase by 11%, the load of generator No. 4 is expected to decrease by 9%, and the load of generator No. 5 is expected to decrease by 14%.

[0052] By analyzing historical load data over a longer period of time (such as the previous week or month), it is found that under similar time periods and operating conditions, the actual load change of the generator is usually smaller than the predicted value of short-term data. Therefore, it is necessary to revise the initial forecast results and adjust the load change trend of each generator to a more reasonable level: the load increase of generator No. 2 is adjusted to 15%, the load increase of generator No. 3 is adjusted to 10%, the load reduction of generator No. 4 is adjusted to 8%, and the load reduction of generator No. 5 is adjusted to 12%.

[0053] Based on the above embodiment, as an optional implementation, in S104, adjusting the first power transfer scheme according to the load change trend, and determining the second power transfer scheme of each normal generator specifically includes S51-S52: S51, obtaining a first normal generator whose load change trend is increasing, reducing the target output power of the first normal generator, and generating a second power transfer plan for the first normal generator, wherein the reduction range of the target output power of the first normal generator increases as the increasing trend increases.

[0054] S52, obtaining a second normal generator whose load change trend is decreasing, increasing the target output power of the second normal generator, and generating a second power transfer plan for the second normal generator, wherein the increase in the target output power of the second normal generator increases as the decreasing trend increases.

[0055] In order to optimize the first power transfer scheme according to the load change trend, different adjustment strategies need to be adopted for generators with different change trends. First, the first normal generators with an increasing load change trend are identified, including generator No. 2 (up 15%) and generator No. 3 (up 10%). Since the load of these generators will naturally increase within the preset time, their target output power needs to be appropriately reduced to reserve sufficient adjustment margin.

[0056] The calculation of the reduction amplitude takes into account the degree of the load upward trend, and the adjustment amount is obtained by multiplying the target output power in the first power transfer scheme with the corresponding upward trend ratio: the target output power of generator 2 is reduced by 15% from 172MW to 146MW, and the target output power of generator 3 is reduced by 10% from 229MW to 206MW. Then the second normal generators with a downward load change trend are identified, including generator 4 (down 8%) and generator 5 (down 12%). Since the load of these generators will naturally decrease within the preset time, their target output power can be appropriately increased to make full use of the capacity that will be released. The calculation of the increase amplitude also takes into account the degree of the load downward trend, and the adjustment amount is obtained by multiplying the target output power in the first power transfer scheme with the corresponding downward trend ratio: the target output power of generator 4 is increased by 8% from 205MW to 221MW, and the target output power of generator 5 is increased by 12% from 184MW to 206MW.

[0057] S105, obtaining historical operating parameters of each normal generator within a preset sampling time, calculating a health index of each normal generator based on the historical operating parameters, adjusting the second power transfer scheme based on the health index, and determining a target power transfer scheme for each normal generator.

[0058] In order to further ensure the safety and reliability of power transfer, it is necessary to evaluate the health of the operating status of each normal generator. First, the historical operating parameters of each normal generator within the 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 operating indicators of the generator. Then, through comprehensive analysis and evaluation of these operating parameters, the health index of each normal generator is calculated.

[0059] Specifically, each operating 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 obtained by weighted calculation. The closer the health index is to 1, the better the operating state of the generator is. In this embodiment, it is calculated that the health index of generator No. 2 is 0.95, the health index of generator No. 3 is 0.88, the health index of generator No. 4 is 0.92, and the health index of generator No. 5 is 0.85. Based on the health index of each generator, the second power transfer scheme needs to be adjusted accordingly: for generators with higher health indexes, the transfer power they bear can be appropriately increased, while for generators with lower health indexes, the transfer power they bear should be reduced accordingly. During the adjustment, the health index of each generator is used as a correction coefficient to correct the target output power in the second power transfer scheme.

[0060] Specifically, the target output power of generator No. 2 is adjusted from 146MW to 159MW, the target output power of generator No. 3 is adjusted from 206MW to 195MW, the target output power of generator No. 4 is adjusted from 221MW to 228MW, and the target output power of generator No. 5 is adjusted from 206MW to 197MW, thereby obtaining the final target power transfer plan.

[0061] Based on the above embodiment, as an optional implementation mode, the historical operating parameters include temperature, vibration frequency and conversion efficiency. According to the historical operating parameters, calculating the health index of each normal generator specifically includes S61-S3: S61, calculating a first difference between the temperature and the standard temperature, a second difference between the vibration frequency and the standard vibration frequency, and a third difference between the conversion efficiency and the standard conversion efficiency.

[0062] S62, determining the weight coefficient of the first difference as the first coefficient, the weight coefficient of the second difference as the second coefficient, and the weight coefficient of the third difference as the third coefficient.

[0063] S63, adding the product of the first difference and the first coefficient, the product of the second difference and the second coefficient, and the product of the third difference and the third coefficient to obtain the health index of each normal generator.

[0064] By comparing the actual operating parameters of each generator with the standard parameters, the corresponding difference is calculated. In this embodiment, the actual temperature of generator No. 2 is 75°C, the standard temperature is 70°C, and the first difference is calculated to be -5°C; the vibration frequency is 48Hz, the standard vibration frequency is 50Hz, and the second difference is calculated to be -2Hz; the conversion efficiency is 95%, the standard conversion efficiency is 96%, and the third difference is calculated to be -1%. The differences of other generators are calculated in the same way: the first difference of generator No. 3 is -8°C, the second difference is -4Hz, and the third difference is -2%; the first difference of generator No. 4 is -6°C, the second difference is -3Hz, and the third difference is -1.5%; the first difference of generator No. 5 is -9°C, the second difference is -5Hz, and the third difference is -2.5%.

[0065] Based on the influence of each parameter on the operating state of the generator, the corresponding weight coefficients are set: 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.

[0066] Multiply each difference with the corresponding weight coefficient and sum them to obtain the health index of each generator: the health index of generator No. 2 = (-5×0.4) + (-2×0.35) + (-1×0.25) = -3.15; the health index of generator No. 3 = (-8×0.4) + (-4×0.35) + (-2×0.25) = -5.3; the health index of generator No. 4 = (-6×0.4) + (-3×0.35) + (-1.5×0.25) = -3.975; the health index of generator No. 5 = (-9×0.4) + (-5×0.35) + (-2.5×0.25) = -6.225.

[0067] Based on the above embodiment, as an optional implementation, in S105, adjusting the second power transfer scheme according to the health index to determine the target power transfer scheme of each normal generator specifically includes S71-S72: S71, obtaining 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 a target power transfer scheme for the third normal generator, and increasing the target output power of the third normal generator as the health index increases.

[0068] S72, obtaining a fourth normal generator whose health index is lower than a health threshold, reducing the target output power of the fourth normal generator in the second power transfer scheme, and determining the target power transfer scheme of the fourth normal generator, wherein the reduction amplitude of the target output power of the fourth normal generator increases as the health index decreases.

[0069] In order 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 generator. First, the health threshold is set to -4.0, and the health index of each generator is compared with the threshold. It is found that the health index of generator 2 (-3.15) and generator 4 (-3.975) is higher than the threshold, and they belong to the third normal generator; while the health index of generator 3 (-5.3) and generator 5 (-6.225) is lower than the threshold, and they belong to the fourth normal generator. For the third normal generator with a better health index, the power it bears can be appropriately increased: the health index of generator 2 is 0.85 higher than the threshold, and its target output power is increased by 8.5% accordingly, from 146MW to 158MW; the health index of generator 4 is close to the threshold, only 0.025 higher, and its target output power is increased by 0.25%, from 221MW to 221.5MW. For the fourth normal generator with a poor health index, it is necessary to appropriately reduce the power it bears: the health index of generator No. 3 is 1.3 lower than the threshold, and its target output power is reduced by 13% from 206MW to 179MW; the health index of generator No. 5 is 2.225 lower than the threshold, and its target output power is reduced by 22.25% from 206MW to 160MW.

[0070] S106: Adjust the output power of each normal generator according to the target power transfer plan.

[0071] After determining the target power transfer plan, the output power of each normal generator needs to be actually adjusted to achieve a smooth transfer of the abnormal generator load. First, calculate the power difference between the current output power of each normal generator and the target output power. Generator No. 2 needs to increase by 9MW (adjusted from 150MW to 159MW), Generator No. 3 needs to decrease by 5MW (adjusted from 200MW to 195MW), Generator No. 4 needs to increase by 48MW (adjusted from 180MW to 228MW), and Generator No. 5 needs to increase by 37MW (adjusted from 160MW to 197MW). Then, based on the size of the power difference, a step-by-step adjustment plan is formulated to decompose the larger power adjustment amount into multiple smaller adjustment steps. The power increment of each step adjustment does not exceed 5% of the rated power of the generator to ensure the stable operation of the generator set.

[0072] For example, for the No. 4 generator that needs to increase 48MW, the adjustment process can be divided into 3 steps, with each step adjusting 16MW; for the No. 5 generator that needs to increase 37MW, it can be completed in 2 steps, with each step adjusting about 18.5MW; and for the No. 2 and No. 3 generators with smaller power adjustment, the adjustment can be completed in one step. When the adjustment is performed specifically, the generators with smaller power differences are adjusted first, and the No. 2, No. 3, No. 5, and No. 4 generators are adjusted in sequence, and the operating status of the generators is monitored after each adjustment to ensure that the various operating parameters are within the normal range. Through the step-by-step adjustment method, the sudden change of the generator output power 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 real-time monitoring of the operating status of the generator, the abnormal situations that may occur during the adjustment process can be discovered and handled in time to ensure the safety and reliability of power transfer. This power transfer method based on step-by-step adjustment can not only realize the effective transfer of abnormal generator loads, but also ensure the stable operation of the generator set and improve the overall operating efficiency of the power plant.

[0073] After adjusting the output power of each normal generator according to the target power transfer plan, it also includes: Monitor the actual output power of each normal generator within the preset monitoring time; when the actual output power of any normal generator does not meet the preset requirements, send an early warning message to the operator's terminal device to enable the operator to troubleshoot the fault.

[0074] In order to ensure the effective implementation of the power transfer plan and the safety and reliability of the system operation, a real-time monitoring and early warning mechanism needs to be established. After the output power of each normal generator is adjusted according to the target power transfer plan, the system will continuously monitor the actual output power of each generator within the preset monitoring time (such as 15 minutes).

[0075] The system compares the actual output power with the preset requirements, which include that the power fluctuation range does not exceed ±5% of the target output power, and the power change rate does not exceed 3MW / minute. In this embodiment, it is found through monitoring that the actual output power of generator No. 2 fluctuates within the range of 158±7.9MW, which meets the preset requirements; the actual output power of generator No. 3 fluctuates abnormally, and the maximum deviation reaches 7.8% of the target value, which exceeds the preset ±5% range; during the power regulation process of generator No. 4, a rapid change of 4.2MW / minute occurs, which exceeds the limit of 3MW / minute; the actual output power of generator No. 5 is basically stable within the range of 160±8MW, which meets the preset requirements. When the system detects abnormal conditions of generators No. 3 and No. 4, it immediately generates an early warning message containing detailed abnormal information, and sends the early warning message to the operator's mobile terminal device (such as a mobile phone App or a tablet computer) through the network communication module. The early warning message contains key information such as the number of the abnormal generator, the current actual output power, the target output power, the abnormal type (outside the fluctuation range or the change rate), and the time of occurrence, so that the operator can quickly locate the problem and conduct targeted troubleshooting and processing.

[0076] Based on the above method, the present application also discloses a detection system for electric power engineering, such as Figure 2 As shown, Figure 2 is a structural diagram of a detection system for a power engineering project provided in an embodiment of the present application, the system comprising: an acquisition module, a determination module, a combination module, a first adjustment module, a second adjustment module and an output module; wherein, An acquisition module is used to acquire the output power and rated power of each normal generator among the remaining normal generators and the load power to be transferred of the abnormal motor when there is an abnormal generator in the generator set of the power plant; a determination module is used to determine the remaining bearable power of each normal generator based on the output power and the rated power; a combination module is used to determine the first power transfer plan of each normal generator based on the remaining bearable power and the load power to be transferred; a first adjustment module is used to acquire the historical load data of each normal generator, predict the load change trend of each normal generator within a preset time period based on the historical load data, and adjust the first power transfer plan according to the load change trend to determine the second power transfer plan of each normal generator; a second adjustment module is used to acquire the historical operating parameters of each normal generator within a preset sampling time, calculate the health index of each normal generator based on the historical operating parameters, adjust the second power transfer plan according to the health index, and determine the target power transfer plan of each normal generator; an output module is used to adjust the output power of each normal generator according to the target power transfer plan.

[0077] It should be noted that: when the device provided in the above embodiment realizes its function, only the division of the above functional modules is used as an example. In actual application, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, the device and method embodiments provided in the above embodiment belong to the same concept, and the specific implementation process is detailed in the method embodiment, which will not be repeated here.

[0078] See also Figure 3 , is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. Figure 3 As shown, the electronic device 1000 may 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 .

[0079] The communication bus 1002 is used to realize the connection and communication between these components.

[0080] The user interface 1003 may include a display screen (Display) and a camera (Camera). Optionally, the user interface 1003 may also include a standard wired interface and a wireless interface.

[0081] The network interface 1004 may optionally include a standard wired interface or a wireless interface (such as a WI-FI interface).

[0082] Among them, the processor 1001 may include one or more processing cores. The processor 1001 uses various interfaces and lines to connect various parts in the entire server, and executes 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. Optionally, the processor 1001 can be implemented in at least one hardware form of digital signal processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), and programmable logic array (Programmable Logic Array, PLA). The processor 1001 can integrate one or a combination of a central processing unit (Central Processing Unit, CPU), a graphics processing unit (Graphics Processing Unit, GPU) and a modem. Among them, the CPU mainly processes the operating system, user interface and application programs; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; the modem is used to process wireless communications. It can be understood that the above-mentioned modem may not be integrated into the processor 1001, and it can be implemented separately through a chip.

[0083] Among them, the memory 1005 may include a random access memory (Random Access Memory, RAM) and may also include a read-only memory (Read-Only Memory). 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 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area may store data involved in the above-mentioned various method embodiments, etc. The memory 1005 may optionally also be at least one storage device located away from the aforementioned processor 1001. As Figure 3 As shown, the memory 1005 as a computer storage medium may include an operating system, a network communication module, a user interface module, and an application program of a detection method for electric power engineering.

[0084] exist Figure 3In the electronic device 1000 shown, the user interface 1003 is mainly used to provide an input interface for the user and obtain data input by the user; and the processor 1001 can be used to call an application program for storing a detection method for power engineering in the memory 1005. When executed by one or more processors, the electronic device executes one or more methods described in the above embodiments.

[0085] An electronic device readable storage medium stores instructions, which, when executed by one or more processors, enable the electronic device to execute one or more of the methods described in the above embodiments.

[0086] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity, they are all described as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the order of the actions described, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required for the present application.

[0087] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0088] In the several embodiments provided in the present application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of the units, which is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some service interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0089] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0090] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0091] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a memory and includes several instructions for a computer device (which can be a personal computer, server or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned memory includes: various media that can store program codes, such as USB flash drives, mobile hard drives, magnetic disks or optical disks.

[0092] The above is only an exemplary embodiment of the present disclosure, and the scope of the present disclosure cannot be limited thereto. That is, any equivalent changes and modifications made according to the teachings of the present disclosure are still within the scope of the present disclosure. After considering the specification and practicing the disclosure here, those skilled in the art will easily think of other embodiments of the present disclosure. This application is intended to cover any modification, use or adaptation of the present disclosure, which follows the general principles of the present disclosure and includes common knowledge or customary technical means in the technical field not recorded in the present disclosure. The description and examples are only regarded as exemplary, and the scope and spirit of the present disclosure are defined by the claims.

Claims

1. A detection method for electric power engineering, characterized in that: The method comprises: When there is an abnormal generator in the generator set of the power plant, the output power and rated power of each normal generator among the remaining normal generators and the load power to be transferred of the abnormal motor are obtained; Determining the remaining bearable power of each of the normal generators according to the output power and the rated power; Determine a first power transfer scheme for each of the normal generators based on the remaining bearable power and the load power to be transferred; Acquire historical load data of each of the normal generators, predict a load change trend of each of the normal generators within a preset time period according to the historical load data, adjust the first power transfer scheme according to the load change trend, and determine a second power transfer scheme for each of the normal generators; Acquire historical operating parameters of each of the normal generators within a preset sampling time, calculate a health index of each of the normal generators according to the historical operating parameters, adjust the second power transfer scheme according to the health index, and determine a target power transfer scheme for each of the normal generators; According to the target power transfer plan, the output power of each of the normal generators is adjusted.

2. The detection method of electric power engineering according to claim 1, characterized in that: The step of combining the remaining bearable power and the load power to be transferred to determine a first power transfer scheme for each of the normal generators comprises: Determining the power allocation coefficient of each normal generator according to the ratio of the remaining bearable power of each normal generator to the total remaining bearable power of all normal generators; arithmetically multiplying the load power to be transferred by the power allocation coefficient to obtain the target transfer power to be borne by each of the normal generators; 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 used as the first power transfer scheme of each normal generator.

3. The detection method of electric power engineering according to claim 1, characterized in that: The predicting, based on the historical load data, the load change trend of each normal generator within a preset time period includes: Obtaining load data of each of the normal generators within a first time period, and predicting an initial load change trend of each of the normal generators within a preset time period according to the load data of each of the normal generators within the first time period, wherein the first time period is before the preset time period; The initial load variation trend is adjusted according to the historical load data to generate a load variation trend of each normal generator within the preset time period.

4. The detection method of electric power engineering according to claim 2, characterized in that: The step of adjusting the first power transfer scheme according to the load change trend to determine the second power transfer scheme for each of the normal generators includes: Acquire a first normal generator whose load variation trend is increasing, reduce the target output power of the first normal generator, and generate a second power transfer plan for the first normal generator, wherein the reduction range of the target output power of the first normal generator increases as the increasing trend increases; A second normal generator whose load change trend is downward is obtained, a target output power of the second normal generator is increased, and a second power transfer plan for the second normal generator is generated, wherein the increase in the target output power of the second normal generator increases as the downward trend increases.

5. The detection method of electric power engineering according to claim 1, characterized in that: The historical operating parameters include temperature, vibration frequency and conversion efficiency. The health index of each normal generator is calculated according to the historical operating parameters, including: Calculating a first difference between the temperature and a standard temperature, a second difference between the vibration frequency and a standard vibration frequency, and a third difference between the conversion efficiency and a standard conversion efficiency; Determine a weight coefficient of the first difference as a first coefficient, a weight coefficient of the second difference as a second coefficient, and a weight coefficient of the third difference as a third coefficient; The product of the first difference and the first coefficient, the product of the second difference and the second coefficient, and the product of the third difference and the third coefficient are added together to obtain the health index of each of the normal generators.

6. The detection method of electric power engineering according to claim 4, characterized in that: The step of adjusting the second power transfer scheme according to the health index to determine a target power transfer scheme for each of the normal generators includes: Acquire a third normal generator whose health index exceeds a health threshold, increase a target output power of the third normal generator in the second power transfer scheme, and generate a target power transfer scheme for the third normal generator, wherein the increase range of the target output power of the third normal generator increases with an increase in the health index; Acquire a fourth normal generator whose health index is lower than the health threshold, reduce the target output power of the fourth normal generator in the second power transfer scheme, determine the target power transfer scheme of the fourth normal generator, and the reduction amplitude of the target output power of the fourth normal generator increases as the health index decreases.

7. The detection method of electric power engineering according to claim 1, characterized in that: After adjusting the output power of each of the normal generators according to the target power transfer scheme, the method further includes: Monitoring the actual output power of each of the normal generators within a preset monitoring time; When the actual output power of any of the normal generators does not meet the preset requirements, an early warning message is sent to the terminal device of the operator so that the operator can perform troubleshooting.

8. A detection system for electric power engineering, 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 used to acquire the output power and rated power of each normal generator among the remaining normal generators and the load power to be transferred of the abnormal motor when there is an abnormal generator in the generator set of the power plant; The determination module is used to determine the remaining bearable power of each of the normal generators according to the output power and the rated power; The combining module is used to combine the remaining bearable power and the load power to be transferred to determine a first power transfer scheme for each of the normal generators; The first adjustment module is used to obtain historical load data of each of the normal generators, predict the load change trend of each of the normal generators within a preset time period 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 of the normal generators; The second adjustment module is used to obtain historical operating parameters of each of the normal generators within a preset sampling time, calculate the health index of each of the normal generators according to the historical operating parameters, adjust the second power transfer scheme according to the health index, and determine the target power transfer scheme of each of the normal generators; The output module is used to adjust the output power of each of the normal generators according to the target power transfer scheme.

9. An electronic device, characterized in that: It includes a processor, a memory, a user interface and a network interface, the memory is used to store instructions, the user interface and the network interface are used to communicate with other devices, and the processor is used to execute the instructions stored in the memory so that the electronic device executes the method as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that: A computer program is stored which can be loaded by a processor and execute the method according to any one of claims 1 to 7.

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