Wind power access control system based on intelligent algorithm optimization

Abstract

The invention relates to the technical field of wind power, in particular to a wind power access control system based on intelligent algorithm optimization. According to the system, a low voltage is generated through a power generation module, the low voltage is transmitted to a power transformation module through a first transmission module, the low voltage is boosted to a high voltage through the power transformation module, then a high voltage is transmitted to a power utilization module through a second transmission module, and a voltage value of the high voltage in the power utilization module is periodically acquired through an acquisition module. The analysis module can quickly determine whether the wind power access meets the standard based on the voltage value, can determine the reason when determining that the wind power access does not meet the standard, generates a corresponding correction mode based on the reason, generates a corresponding instruction according to the corresponding correction mode through the instruction generation module, and sends the instruction to the optimization module; the operation parameters in the corresponding modules are adjusted through the optimization module, so that the qualified rate of wind power access meeting the standard is improved, and the reliability aiming at the follow-up production and life electricity demands is improved.

Description

Technical Field

[0001] The present invention relates to the field of wind power technology, and in particular to a wind power access control system based on intelligent algorithm optimization. Background Art

[0002] With the advancement of science and technology and the development of society, the role of electricity in human society is becoming more and more important. As the concept of green energy is deeply rooted in people's minds and wind power generation is one of the sources of clean energy, more and more attention is paid to equipment or systems that convert wind energy into electrical energy. Among them, wind power access is an important part of the process of converting wind energy into electrical energy, and it plays an irreplaceable role in the process of wind power generation.

[0003] Regarding the wind power access link, the Chinese patent publication number in the prior art: CN117674110A discloses a load prediction system and method for accessing a wind power distribution network. The system is electrically connected to a first battery and a speed sensor respectively through a first control device, the first control device is connected to a first conversion device and a second conversion device respectively, the wind power generation equipment is connected to a first end of the first conversion device, the second end of the first conversion device is connected to a first end of the second battery, the second end of the second battery is connected to a first end of the second conversion device, and the second end of the second conversion device is connected to an energy storage inverter of the distribution network, so as to increase the service life of the second battery, thereby improving the stability of the wind power terminal; however, the system lacks technical means for determining whether the wind power access process meets the standards by detecting the voltage value and adjusting the system based on the determination result, thereby improving the efficiency of wind power access meeting the standards, thereby improving the reliability for subsequent production and living electricity demand. Summary of the invention

[0004] To this end, the present invention provides a wind power access control system based on intelligent algorithm optimization to solve the problem in the prior art that there is no determination based on voltage value whether wind power access meets the standards, and adjustments are made to the system based on this, thereby improving wind power access efficiency.

[0005] To achieve the above objectives, the present invention provides a wind power access control system based on intelligent algorithm optimization, comprising: Power generation module, which converts wind energy into low-voltage electricity; A first transmission module, connected to the power generation module, for obtaining the low voltage electricity and transmitting it; A power conversion module, connected to the first transmission module, comprising a transformer for converting the low voltage electricity into high voltage electricity; A second transmission module, connected to the power transformation module, for obtaining the high voltage electricity and transmitting it; An electricity-using module connected to the second transmission module for receiving the high voltage electricity; A collection module, connected to the power consumption module, for periodically collecting the voltage value of the high voltage electricity obtained by the power consumption module; An analysis module connected to the acquisition module determines whether the wind power access meets the standards based on the voltage value, and determines the reasons for not meeting the standards; An instruction generation module, connected to the analysis module, generates corresponding instructions based on the cause; The optimization module is respectively connected to the substation module, the acquisition module and the analysis module, and is used to adjust the operating parameters of the corresponding modules based on the instructions. The parameters include: the amplification efficiency of the substation module, the acquisition frequency of the acquisition module, and the judgment criterion of the analysis module.

[0006] Further, the analysis module makes a determination based on a comparison result between the voltage average value and a preset voltage average value pre-stored in the analysis module, or re-determines whether the wind power access meets the standard based on the variance of a plurality of voltage values ​​collected within a preset period, and determines the reason for not meeting the standard based on the voltage change average ratio when it is determined that the wind power access does not meet the standard, wherein: The voltage average value is the average value of a number of voltage values ​​collected at a number of time nodes within a preset period; The acquisition module is also used to periodically collect the second transmission voltage value when the second transmission module transmits the high voltage electricity, and the average voltage change ratio is the average value of the ratio between several second transmission voltage values ​​collected at several time nodes within a preset period and the corresponding voltage value.

[0007] Furthermore, the analysis module is also used to re-determine whether the wind power access does not meet the standard based on the comparison result of the variance and the preset variance pre-stored in the analysis module, or to increase the collection frequency of the collection module based on the variance difference, wherein the variance difference is the difference between the variance and the preset variance.

[0008] Furthermore, the analysis module is also used to increase the acquisition frequency based on a comparison result between the variance difference value and a preset variance difference value pre-stored in the analysis module, and the increase range of the acquisition frequency is proportional to the variance difference value.

[0009] Furthermore, the analysis module is also used to determine the reason why the wind power access does not meet the standards based on the comparison result of the voltage change average ratio with the preset voltage change average ratio pre-stored in the analysis module, and generate a corresponding correction method based on the reason, including: correcting the judgment basis of the analysis module, increasing the amplification factor of the transformation module, and redetermining the reason why the wind power access does not meet the standards based on the relationship between the voltage change average ratios under several historical monitoring cycles.

[0010] Furthermore, the analysis module is also used to determine the determination criterion for lowering the analysis module based on the comparison result between the low voltage level average value and the preset low voltage level average value pre-stored in the analysis module, or to increase the amplification factor of the transformation module, wherein the acquisition module is also used to periodically acquire the first transmission voltage value when the first transmission module transmits the low voltage electricity, and the low voltage level average value is the average value of several first transmission voltage values ​​within a preset period.

[0011] Furthermore, the analysis module is also used to lower the judgment criterion of the analysis module based on the comparison result of the conversion efficiency and the preset conversion efficiency pre-stored in the analysis module, and the reduction degree of the judgment criterion is inversely proportional to the conversion efficiency, wherein the conversion efficiency is the efficiency when converting the wind energy into the low voltage electricity.

[0012] Furthermore, the analysis module is also used to determine the time period of environmental abnormality based on the comparison result of the abnormal voltage change number with the preset abnormal voltage change number pre-stored in the analysis unit, or to increase the amplification factor of the substation module, wherein a time-change average ratio curve is drawn based on the average voltage change ratio in several historical monitoring cycles within a single time period, and the average voltage change ratio at the peak of the curve is recorded as the abnormal voltage change value, and the abnormal voltage change number is the number of abnormal voltage change values.

[0013] Furthermore, the analysis module is also used to increase the magnification of the power transformation module based on the comparison result of the transmission distance and the preset transmission distance pre-stored in the analysis unit, and the increase in the magnification is proportional to the transmission distance, wherein the transmission distance is the straight-line distance from the power transformation module to the power consumption module.

[0014] Further, when the adjustment for increasing the amplification factor is completed, a maintenance notice is issued to the wind power access control system when the preset voltage average value is still greater than the voltage average value in the re-determination by the analysis module.

[0015] Compared with the prior art, the beneficial effect of the wind power access control system based on intelligent algorithm optimization of the present invention is that the system generates low voltage through the power generation module, transmits the low voltage to the substation module through the first transmission module, boosts the low voltage to high voltage through the substation module, and then transmits the high voltage to the power consumption module through the second transmission module, and uses the acquisition module to periodically collect the voltage value of the high voltage in the power consumption module, and through the analysis module, it can quickly determine whether the wind power access meets the standards based on the voltage value, and when it is determined that the wind power access does not meet the standards, it can determine the reason, and generate a corresponding correction method based on the reason, and generate a corresponding instruction for the corresponding correction method through the instruction generation module, and then send the instruction to the optimization module, and adjust the operating parameters in the corresponding module through the optimization module, so as to improve the pass rate of wind power access meeting the standards, thereby providing reliability for subsequent production and living electricity needs.

[0016] Furthermore, the present invention also specifically determines whether the wind power access meets the standards based on the comparison result of the voltage average value and the preset voltage average value, and when it is determined that the wind power access does not meet the standards, the reason for not meeting the standards can be determined based on the voltage change average ratio, so that the wind power access process can be quickly judged.

[0017] Furthermore, the present invention also performs a secondary determination on the wind power access process based on the comparison result between the variance and the preset variance, thereby improving the accuracy of the results of the wind power access determination and avoiding the occurrence of misjudgment.

[0018] Furthermore, when the present invention determines that the variance is greater than the preset variance, the accuracy of the determination result can be improved by increasing the acquisition frequency of the acquisition module, and the increase range of the acquisition frequency can be determined based on the variance difference.

[0019] Furthermore, when determining that the wind power access process does not meet the standards, the present invention can determine the reason for non-compliance with the standards and the corresponding correction method based on the comparison result of the average voltage change ratio and the preset average voltage change ratio. This can reduce the probability of wind power access not meeting the standards, thereby improving the wind power access efficiency and obtaining more high voltage electricity that meets the requirements.

[0020] Furthermore, when determining that wind power access does not meet the standards, the present invention can determine whether to lower the determination criterion of the analysis module, or increase the magnification of the transformation module, based on the comparison result between the low-voltage level average value and the preset low-voltage level average value, so as to increase the probability that the wind power access meets the standards.

[0021] Furthermore, when lowering the judgment criterion of the analysis module, the present invention can determine the reduction extent of the judgment criterion based on the comparison result of the conversion efficiency with the preset conversion efficiency, thereby more accurately improving the working efficiency of the analysis module and further improving the efficiency of wind power access in compliance with the standards.

[0022] Furthermore, the present invention can also determine the time period of environmental abnormality based on the comparison result of the abnormal voltage change number with the preset abnormal voltage change number, or increase the amplification factor of the transformation module, so as to improve the probability of wind power access meeting the standards.

[0023] Furthermore, when increasing the magnification of the substation module, the present invention can determine the increase in the magnification based on the comparison result between the transmission distance and the preset transmission distance, thereby more accurately improving the working efficiency of the substation module and thereby improving the efficiency of wind power access in compliance with the standards. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 This is a module schematic diagram of a wind power access control system optimized based on an intelligent algorithm according to the present invention; Figure 2 It is a flow chart of a wind power access control system optimized based on intelligent algorithm according to the present invention; Figure 3 This is a logic flow chart of the present invention for determining whether wind power access meets the standards based on voltage value; Figure 4 A logic flow chart of determining the reasons why wind power access does not meet the standards and the correction thereof based on the average voltage change ratio of the present invention; Figure 5 The present invention is a logic flow chart for determining the reason why wind power access does not meet the standards and correcting it based on the abnormal voltage change number. DETAILED DESCRIPTION

[0025] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0026] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0027] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is merely for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0028] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0029] In this embodiment, a wind power access control system based on intelligent algorithm optimization is provided. Through this system, the voltage value of high voltage electricity can be periodically detected in places such as wind power access, and the situation of wind power access can be quickly determined by comparing the voltage value with the preset value. When the wind power access does not meet expectations, the operating parameters of the corresponding module can be adjusted to improve the efficiency of wind power access, thereby better meeting the electricity needs of production and life.

[0030] See also Figure 1 As shown, it is a module schematic diagram of the wind power access control system based on intelligent algorithm optimization in this embodiment. The system includes: a power generation module for converting wind energy into low-voltage electricity; a first transmission module connected to the power generation module for acquiring and transmitting the low-voltage electricity; a transformer module connected to the first transmission module, comprising a transformer for converting the low-voltage electricity into high-voltage electricity; a second transmission module connected to the power transformation module for acquiring and transmitting the high-voltage electricity; a power consumption module connected to the second transmission module for receiving the high-voltage electricity; a collection module connected to the power consumption module for periodically collecting the voltage value of the high-voltage electricity obtained by the power consumption module; an analysis module connected to the collection module for determining whether the wind power access meets the standard based on the voltage value and determining the reason for not meeting the standard; an instruction generation module connected to the analysis module for generating corresponding instructions based on the reason; an optimization module connected to the power transformation module, the collection module and the analysis module respectively for adjusting the operating parameters of the corresponding modules based on the instructions, the parameters including: the amplification efficiency of the power transformation module, the collection frequency of the collection module and the judgment criterion of the analysis module.

[0031] Specifically, in this embodiment, the power generation module includes a plurality of fans, which convert wind energy into mechanical energy by driving the fan blades to rotate through wind force, and then convert mechanical energy into electrical energy through the generator of the fan, and the electrical energy at this time is low-voltage electricity. The first transmission module includes a collector line, and the low-voltage electricity generated by the plurality of fans in the power generation module is concentrated and transmitted to the next module through the first transmission module connected to the power generation module. The low-voltage electricity is received through the substation module connected to the first transmission module, and the substation module includes a transformer, and the low-voltage electricity is boosted by the transformer to reach the high-voltage electricity required for production and life. The second transmission module includes an external transmission line, and the generated high-voltage electricity is transmitted to the next module through the second transmission module connected to the substation module. The high-voltage electricity is received through the power consumption module connected to the second transmission module, and the power consumption module is generally a power grid, and the obtained high-voltage electricity is transmitted one by one to various areas of the city through the power grid for energy supply. The voltage value of the high voltage electricity obtained by the power consumption module is periodically collected by the collection module connected to the power consumption module; the collected voltage value is compared with the preset value by the analysis module connected to the collection module, so as to determine whether the wind power access meets the standard according to the comparison result, that is, whether the voltage value when the power consumption module obtains the high voltage electricity meets the demand, and when it is determined that the wind power access process does not meet the standard, the reason for not meeting the standard can be determined, and then optimization and adjustment are performed according to the reason. In this embodiment, the wind power access meets the standard, that is, the voltage value when the power consumption module obtains the high voltage electricity is greater than or equal to the preset voltage value, that is, the high voltage electricity meets the subsequent production and living needs. By monitoring the voltage value when the power consumption module obtains the high voltage electricity, the wind power access process can be effectively monitored and controlled; The instruction generation module connected to the analysis module obtains the cause and generates a corresponding instruction based on the cause; the instruction is obtained through the optimization module connected to the instruction generation module, and the optimization module is also connected to the substation module, the acquisition module, the analysis module, etc. The optimization module adjusts the parameters in the corresponding module based on the instruction, and the parameters include: the magnification of the substation module, the acquisition frequency of the acquisition module, the judgment basis of the analysis module, etc. The entire wind power access control system is adjusted by adjusting the parameters of the corresponding module, thereby improving the efficiency of wind power access, so that the power consumption module can obtain more electric energy per unit time to ensure subsequent energy supply needs; in this embodiment, the parameters of the corresponding module are optimized based on an intelligent algorithm, and the intelligent algorithm includes but is not limited to a genetic algorithm, a particle swarm optimization algorithm, a search evolution algorithm, a deep learning algorithm, etc.

[0032] See also Figure 2 As shown in the figure, it is a flow chart of wind power access control system based on intelligent algorithm optimization. The process includes: S1: Convert wind energy into low-voltage electricity through power generation modules.

[0033] S2: Obtaining and transmitting the low voltage electricity through a first transmission module connected to the power generation module.

[0034] S3: Convert the low voltage electricity into high voltage electricity through a transformer module connected to the first transmission module.

[0035] S4: Obtain the high voltage electricity through a second transmission module connected to the power transformation module and transmit it.

[0036] S5: Obtaining the high voltage electricity through a power consumption module connected to the second transmission module.

[0037] S6: Periodically collecting the voltage value of the high voltage electricity obtained by the power consumption module through a collection module connected to the power consumption module.

[0038] S7: determining whether the wind power access meets the standards based on the voltage value through an analysis module connected to the acquisition module, and determining the reasons for not meeting the standards.

[0039] S8: Generate corresponding instructions based on the reasons through an instruction generation module connected to the analysis module.

[0040] S9: adjusting the operating parameters of the corresponding modules based on the instructions through the optimization modules respectively connected to the substation module, the acquisition module and the analysis module, the parameters including: the amplification efficiency of the substation module, the acquisition frequency of the acquisition module and the judgment criterion of the analysis module.

[0041] See also Figure 3 As shown, it is a logic flow chart for determining whether wind power access meets the standard based on voltage value in this embodiment. The analysis module makes a determination based on the comparison result of the voltage average value with the preset voltage average value pre-stored in the analysis module, or re-determines whether the wind power access meets the standard based on the variance of several voltage values ​​collected within a preset period, and determines the reason for not meeting the standard based on the voltage change average ratio when it is determined that the wind power access does not meet the standard, wherein: The voltage average value is the average value of a number of voltage values ​​collected at a number of time nodes within a preset period; The acquisition module is also used to periodically collect the second transmission voltage value when the second transmission module transmits the high voltage electricity, and the average voltage change ratio is the average value of the ratio between several second transmission voltage values ​​collected at several time nodes within a preset period and the corresponding voltage value.

[0042] Specifically, in this embodiment, the acquisition module is also connected to the second delivery module. The acquisition module collects the voltage value of the high voltage electricity from the power consumption module once at every time node within the preset period. At the same time, the acquisition module will also synchronously collect the second delivery voltage value of the high voltage electricity from the second delivery module once, and average the voltage values ​​at several time nodes collected within the preset period, and record the calculated value as the voltage average value; calculate the ratio between the one-to-one corresponding voltage value and the second delivery voltage value, obtain the ratio at several time nodes, and average the several ratios, and record the calculated value as the voltage change average ratio W. The preset voltage average value D0 includes a first preset voltage average value D1 and a second preset voltage average value D2, D1<D2, and the comparison process based on the voltage average value D and the preset voltage average value D0 is as follows: If D≤D1, it means that most of the voltage values ​​collected by the acquisition module in the current preset period are less than the preset voltage value. The high voltage electricity obtained by the power consumption module at this time cannot meet the production and living needs. Therefore, it can be determined that the wind power access is not in compliance with the standard. It is necessary to determine the reason for the failure based on the average voltage change ratio W. In this embodiment, the preset voltage value is the lowest voltage value set by the power consumption module in the current state to meet the production and living needs. If D1<D≤D2, it means that the voltage value collected by the acquisition module in the current preset period fluctuates around the preset voltage value, and it is impossible to accurately determine whether the current wind power access process meets the standard. Therefore, a time-voltage value curve can be drawn through several voltage values ​​collected in the preset period and the corresponding time nodes, and the variance can be calculated according to the curve, so as to re-determine the result by comparing the variance H with the preset variance H0. The accuracy of the determination result can be improved through the secondary determination. If D2 < D, it means that most of the voltage values ​​collected by the acquisition module in the current preset period are greater than the preset voltage value. At this time, the high voltage electricity obtained by the power consumption module meets the needs of production and life. Therefore, it can be determined that the wind power access is in compliance with the standard and can be continuously monitored. Specifically, in this embodiment, D0 is set to 35 kV according to the current power demand, D1 = 0.95 × D0, D2 = 1.05 × D0. It should be noted that D0, D1 and D2 can be changed according to the current production and life needs, so the set values ​​can be changed.

[0043] Furthermore, the analysis module is also used to re-determine whether the wind power access does not meet the standard based on the comparison result of the variance and the preset variance pre-stored in the analysis module, or to increase the collection frequency of the collection module based on the variance difference, wherein the variance difference is the difference between the variance and the preset variance.

[0044] Specifically, in this embodiment, the comparison process based on the variance H and the preset variance H0 is as follows: If H≤H0, it means that the current voltage values ​​are relatively small in discreteness relative to the preset voltage value, so it can be determined that the current high voltage voltage is stable. When the voltage is stable, the calculated voltage average value D is still between the first preset voltage average value D1 and the second preset voltage average value D2. At this time, it can be determined that the wind power access process in the current preset period does not meet the standard, and the reason for not meeting the standard can be determined based on the voltage change average ratio W. If H>H0, it means that the current voltage values ​​are relatively large in discreteness relative to the preset voltage value, so it can be determined that the current high voltage voltage is unstable. At this time, the new voltage average value D can be recalculated by increasing the acquisition frequency of the acquisition module, so that the new D can be re-determined by comparing the results of D0, so as to improve the accuracy of the determination result. The increase in the acquisition frequency of the acquisition module can be determined by the variance difference. Specifically, in this embodiment, H0 is set to 1. When the calculated H is larger, it means that the data collected in the current preset period is less reliable, so it is necessary to increase the acquisition frequency of the acquisition module so that more acquisition data can be obtained to make the recalculated D more accurate.

[0045] Furthermore, the analysis module is also used to increase the acquisition frequency based on a comparison result between the variance difference value and a preset variance difference value pre-stored in the analysis module, and the increase range of the acquisition frequency is proportional to the variance difference value.

[0046] Specifically, in this embodiment, the preset variance difference value Y0 includes a first preset variance difference value Y1 and a second preset variance difference value Y2, Y1<Y2, and the comparison process based on the variance difference value Y and the preset variance difference value Y0 is as follows: If Y≤Y1, the first frequency adjustment coefficient is used by the optimization module to increase the acquisition frequency of the acquisition module to 2 times the initial value; if Y1<Y≤Y2, the second frequency adjustment coefficient is used by the optimization module to increase the acquisition frequency of the acquisition module to 4 times the initial value; if Y2<Y, the third frequency adjustment coefficient is used by the optimization module to increase the acquisition frequency of the acquisition module to 6 times the initial value. Specifically, in this embodiment, Y0 is set to 1, Y1=0.5×Y0, and Y2=1.5×Y0. It should be noted that Y0, Y1, Y2 and the increase ratio of the acquisition frequency can be adjusted according to the changes in the variance H and the preset variance H0, so as to meet the goal of accurately determining the wind power access situation.

[0047] See also Figure 4As shown, it is a logic flow chart for determining the reason why wind power access does not meet the standards and the correction based on the average voltage change ratio in this embodiment. The analysis module is also used to determine the reason why the wind power access does not meet the standards based on the comparison result of the average voltage change ratio and the preset average voltage change ratio pre-stored in the analysis module, and generate a corresponding correction method based on the reason, including: correcting the judgment criterion of the analysis module, increasing the magnification of the transformation module, and re-determining the reason why the wind power access does not meet the standards based on the relationship between the average voltage change ratios under several historical monitoring cycles.

[0048] Specifically, in this embodiment, the preset voltage change average ratio W0 includes a first preset voltage change average ratio W1 and a second preset voltage change average ratio W2, W1<W2, and the comparison process based on the voltage change average ratio W and the preset voltage change average ratio W0 is as follows: If W≤W1, it means that the second transmission voltage value collected by the acquisition module for the second transmission module in the current preset period is not much different from the voltage value collected for the power consumption module. Therefore, it can be determined that everything from the second transmission module to the power consumption module is normal, and it can be determined that the reason for the failure of wind power access is that there is an abnormality in the power generation module. At this time, the judgment standard of the analysis module can be lowered. If W1<W≤W2, it is impossible to accurately determine the reason for the failure of the wind power access process. W under several historical monitoring cycles can be obtained, and a time-change average ratio curve can be drawn based on this. A secondary judgment is made through the distribution of the peak values ​​in the curve, so as to more accurately determine the reason for the failure of wind power access, and generate a corresponding correction method based on the reason. If W2<W, it means that the second transmission voltage value collected in the current preset period is significantly different from the voltage value. Therefore, it can be determined that there is a transmission loss from the second transmission module to the power consumption module, that is, there is a voltage loss. At this time, the amplification factor of the substation module can be increased to offset the transmission loss, thereby improving the transmission efficiency of high-voltage electricity. The magnification adjustment of the substation module is mainly adjusted by adjusting the turns ratio of the primary winding and the secondary winding of the transformer. Specifically, in this embodiment, W0 is set to 1.1, W1=1.15×W0, and W2=1.35×W0. It should be noted that W0, W1, and W2 can also be reset according to the changes in the voltage value and the second transmission voltage value.

[0049] Furthermore, the analysis module is also used to determine the determination criterion for lowering the analysis module based on the comparison result between the low voltage level average value and the preset low voltage level average value pre-stored in the analysis module, or to increase the amplification factor of the transformation module, wherein the acquisition module is also used to periodically acquire the first transmission voltage value when the first transmission module transmits the low voltage electricity, and the low voltage level average value is the average value of several first transmission voltage values ​​within a preset period.

[0050] Specifically, in this embodiment, by obtaining a plurality of first transmission voltage values ​​within a preset period, and then calculating the average value based on the plurality of first transmission voltage values ​​to obtain a low voltage average value M, the comparison process based on the low voltage average value M and the preset low voltage average value M0 is as follows: If M≤M0, it means that the first transmission voltage value of the low-voltage electricity transmitted by the first transmission module itself in the current preset period is mostly not greater than the preset first transmission voltage value. Therefore, it can be determined that the reason for the unqualified wind power access is that the current power generation module's power conversion efficiency is unqualified. Therefore, the standard for determining the qualified wind power access can be lowered by lowering the judgment criterion of the current analysis module, thereby improving the qualified rate of wind power access. If M>M0, it means that the first transmission voltage value of the low-voltage electricity transmitted by the first transmission module in the current preset period is mostly greater than the preset first transmission voltage value. Therefore, it can be determined that the power conversion efficiency of the current power generation module is qualified. At this time, it can be determined that the reason why the wind power access does not meet the standard is that there is a transmission loss from the second transmission module to the power module. At this time, the amplification factor of the substation module can be increased to offset the transmission loss, thereby improving the transmission efficiency of high-voltage electricity, and then improving the qualified rate of wind power access. Specifically, in this embodiment, M0 is set to 1.05.

[0051] Furthermore, the analysis module is also used to lower the judgment criterion of the analysis module based on the comparison result of the conversion efficiency and the preset conversion efficiency pre-stored in the analysis module, and the reduction degree of the judgment criterion is inversely proportional to the conversion efficiency, wherein the conversion efficiency is the efficiency when converting the wind energy into the low voltage electricity.

[0052] Specifically, in this embodiment, the conversion efficiency N refers to the efficiency of converting wind energy into electrical energy. The preset conversion efficiency N0 includes a first preset conversion efficiency N1 and a second preset conversion efficiency N2, N1<N2. The comparison process based on N and N0 is as follows: If N≤N1, the first reference adjustment coefficient is used by the optimization module to reduce the determination benchmark of the analysis module to 3.2 times the initial value; if N1<N≤N2, the second reference adjustment coefficient is used by the optimization module to reduce the determination benchmark of the analysis module to 2.6 times the initial value; if N2<N, the third reference adjustment coefficient is used by the optimization module to reduce the determination benchmark of the analysis module to 1.5 times the initial value. In this embodiment, N0 is set to 0.9, N1=0.95×N0, N2=1.15×N0; it should be noted that the determination benchmark in this embodiment is the preset voltage average value D0, and reducing the determination benchmark is to reduce the value of D0.

[0053] See also Figure 5As shown, it is a logic flow chart for determining the reasons and corrections for wind power access not meeting the standards based on the abnormal voltage change number in this embodiment. The analysis module is also used to determine the time period of environmental abnormality based on the comparison result of the abnormal voltage change number and the preset abnormal voltage change number pre-stored in the analysis unit, or to increase the magnification of the power transformation module, wherein a curve of the time-change average ratio is drawn based on the average voltage change ratio in several historical monitoring cycles within a single time period, and the average voltage change ratio at the peak of the curve is recorded as the abnormal voltage change value, and the abnormal voltage change number is the number of abnormal voltage change values.

[0054] Specifically, in this embodiment, the voltage change average ratio in the curve that is greater than the preset voltage change average ratio is taken as the peak value, and the voltage change average ratio at this time is recorded as the abnormal voltage change value. The comparison process based on the abnormal voltage change number P and the preset abnormal voltage change number P0 is as follows: If P≤P0, it means that the abnormal voltage change value distribution in the current time period is relatively dispersed. At this time, it can be determined that there is a transmission loss from the second transmission module to the power module. At this time, the amplification factor of the substation module can be increased to offset the transmission loss, thereby improving the transmission efficiency of high-voltage electricity. If P0<P, it means that the abnormal voltage change value distribution in the current time period is relatively concentrated. It can be determined that there is an environmental anomaly in this time period, and the wind power access caused by the environmental anomaly does not meet the standards. Specifically, in this embodiment, P0 is set to 7, and the length of a single time period is set to 12 hours.

[0055] See also Figure 4 As shown, it is a logic flow chart for determining the reasons and corrections for wind power access not meeting the standards based on the average voltage change ratio in this embodiment. The analysis module is also used to increase the amplification factor of the power transformation module based on the comparison result of the transmission distance and the preset transmission distance pre-stored in the analysis unit, and the increase in the amplification factor is proportional to the transmission distance.

[0056] Specifically, in this embodiment, the conveying distance L is the straight-line distance from the power conversion module to the power consumption module, and the preset conveying distance L0 includes a first preset conveying distance L1 and a second preset conveying distance L2, L1<L2, and the comparison process based on the conveying distance L and the preset conveying distance L0 is as follows: If L≤L1, the first magnification adjustment coefficient is used by the optimization module to increase the magnification of the substation module to 1.5 times the initial value; if L1<L≤L2, the second magnification adjustment coefficient is used by the optimization module to increase the magnification of the substation module to 2.5 times the initial value; if L2<L, the magnification of the substation module is increased to 3.5 times the initial value by using the third magnification adjustment coefficient through the optimization module. Specifically, in this embodiment, L0 is set to 3.5 kilometers; it should be noted that the increase in L0, L1, L2 and the magnification can also be determined according to actual conditions.

[0057] Further, when the adjustment for increasing the amplification factor is completed, a maintenance notice is issued to the wind power access control system when the preset voltage average value is still greater than the voltage average value in the re-determination by the analysis module.

[0058] Specifically, in this embodiment, after completing the operation of increasing the magnification adjustment of the substation module, the wind power access situation can be determined again by comparing the voltage average value D in the analysis module with the preset voltage average value D0 to verify the adjusted system status. If D0<D, it means that the wind power access is normal. If D<D0, it means that there is still a problem with the current wind power access, and a maintenance notice needs to be issued for the wind power access control system.

[0059] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0060] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A wind power access control system based on intelligent algorithm optimization, characterized in that: include: Power generation module, which converts wind energy into low-voltage electricity; A first transmission module, connected to the power generation module, for obtaining the low voltage electricity and transmitting it; A power conversion module, connected to the first transmission module, comprising a transformer for converting the low voltage electricity into high voltage electricity; A second transmission module, connected to the power transformation module, for obtaining the high voltage electricity and transmitting it; An electricity-using module connected to the second transmission module for receiving the high voltage electricity; A collection module, connected to the power consumption module, for periodically collecting the voltage value of the high voltage electricity obtained by the power consumption module; An analysis module connected to the acquisition module determines whether the wind power access meets the standards based on the voltage value, and determines the reasons for not meeting the standards; An instruction generation module, connected to the analysis module, generates corresponding instructions based on the cause; The optimization module is respectively connected to the substation module, the acquisition module and the analysis module, and is used to adjust the operating parameters of the corresponding modules based on the instructions. The parameters include: the amplification efficiency of the substation module, the acquisition frequency of the acquisition module, and the judgment criterion of the analysis module.

2. The wind power access control system based on intelligent algorithm optimization according to claim 1 is characterized in that: The analysis module makes a determination based on a comparison result between the voltage average value and a preset voltage average value stored in the analysis module, or re-determines whether the wind power access meets the standard based on the variance of a plurality of voltage values ​​collected within a preset period, and determines the reason for not meeting the standard based on the voltage change average ratio when it is determined that the wind power access does not meet the standard, wherein: The voltage average value is the average value of a number of voltage values ​​collected at a number of time nodes within a preset period; The acquisition module is also used to periodically collect the second transmission voltage value when the second transmission module transmits the high voltage electricity, and the average voltage change ratio is the average value of the ratio between several second transmission voltage values ​​collected at several time nodes within a preset period and the corresponding voltage value.

3. The wind power access control system based on intelligent algorithm optimization according to claim 2 is characterized in that: The analysis module is also used to re-determine whether the wind power access does not meet the standard based on the comparison result of the variance and the preset variance pre-stored in the analysis module, or increase the collection frequency of the collection module based on the variance difference, wherein the variance difference is the difference between the variance and the preset variance.

4. The wind power access control system based on intelligent algorithm optimization according to claim 3 is characterized in that: The analysis module is further configured to increase the acquisition frequency based on a comparison result between the variance difference value and a preset variance difference value pre-stored in the analysis module, and the increase range of the acquisition frequency is proportional to the variance difference value.

5. The wind power access control system based on intelligent algorithm optimization according to claim 2 is characterized in that: The analysis module is also used to determine the reason why the wind power access does not meet the standards based on the comparison result of the voltage change average ratio with the preset voltage change average ratio pre-stored in the analysis module, and generate a corresponding correction method based on the reason, including: correcting the judgment basis of the analysis module, increasing the amplification factor of the transformation module, and redetermining the reason why the wind power access does not meet the standards based on the relationship between the voltage change average ratios under several historical monitoring cycles.

6. The wind power access control system based on intelligent algorithm optimization according to claim 5 is characterized in that: The analysis module is also used to determine the determination criterion for lowering the analysis module, or to increase the amplification factor of the transformation module, based on the comparison result between the low-voltage level average value and the preset low-voltage level average value pre-stored in the analysis module, wherein the acquisition module is also used to periodically acquire the first transmission voltage value when the first transmission module transmits the low-voltage electricity, and the low-voltage level average value is the average value of several first transmission voltage values ​​within a preset period.

7. The wind power access control system based on intelligent algorithm optimization according to claim 6 is characterized in that: The analysis module is also used to lower the judgment criterion of the analysis module based on the comparison result of the conversion efficiency with the preset conversion efficiency pre-stored in the analysis module, and the reduction degree of the judgment criterion is inversely proportional to the conversion efficiency, wherein the conversion efficiency is the efficiency of converting the wind energy into the low voltage electricity.

8. The wind power access control system based on intelligent algorithm optimization according to claim 5 is characterized in that: The analysis module is also used to determine the time period of environmental abnormality based on the comparison result of the abnormal voltage change number with the preset abnormal voltage change number pre-stored in the analysis unit, or to increase the magnification of the substation module, wherein a time-change average ratio curve is drawn based on the average ratio of voltage changes in several historical monitoring cycles within a single time period, and the average ratio of voltage changes at the peak value in the curve is recorded as the abnormal voltage change value, and the abnormal voltage change number is the number of abnormal voltage change values.

9. The wind power access control system based on intelligent algorithm optimization according to claim 5 is characterized in that: The analysis module is also used to increase the magnification of the power conversion module based on the comparison result of the transmission distance and the preset transmission distance pre-stored in the analysis unit, and the increase in the magnification is proportional to the transmission distance, wherein the transmission distance is the straight-line distance from the power conversion module to the power consumption module.

10. The wind power access control system based on intelligent algorithm optimization according to claim 9, characterized in that: When the adjustment for increasing the magnification is completed, a maintenance notice is issued to the wind power access control system when the preset voltage average value is still greater than the voltage average value based on the re-determination by the analysis module.

Images