A comprehensive auxiliary control system based on multi-parameters of smart substation

Abstract

The present invention discloses a comprehensive auxiliary control system based on multiple parameters of a smart substation, which relates to the technical field of substations. The energy loss test module of the system calculates the stability factor Wdyz and preliminarily dynamically screens the number of taps to avoid unnecessary energy waste. The tap flexibility analysis module analyzes the system's response to load changes based on the number of taps after screening, and constructs an adaptation factor Syyz under conditions of different numbers of taps. This flexibility analysis can determine the system's ability to cope with load fluctuations under different numbers of taps. With the support of a multi-parameter balance auxiliary control module, by using convolutional neural network technology, the system can combine the stability factor Wdyz and the adaptation factor Syyz to construct a multi-parameter balance model and obtain a balance prediction coefficient Pgxs, so as to more accurately grasp the state of the system between stability and flexibility. Through secondary screening operations, the system can adaptively adjust the tap settings.

Description

Technical Field

[0001] The present invention relates to the technical field of substations, and in particular to a comprehensive auxiliary control system based on multiple parameters of a smart substation. Background Art

[0002] In the field of modern power systems, the rapid development of smart grid technology has greatly promoted the construction of smart substations. As an important part of the smart grid, smart substations combine advanced measurement, control and communication technologies to achieve automation and intelligent management of power systems. In the technical framework of smart substations, transformers are one of the core devices, and their operating status directly affects the stability and reliability of the entire power system. Especially in the management of transformers, the setting and optimization of the number of taps has become an important analysis point. The setting of the number of transformer taps directly affects the voltage regulation capability and load adaptability of the system, and plays a vital role in improving the flexibility of the power grid and optimizing energy loss.

[0003] However, the current smart substation has certain shortcomings in setting and analyzing the number of transformer taps. First of all, in order to make the voltage output by the transformer meet the needs of the load end, most substations usually set multiple sets of taps (tap points) on the transformer windings. Although transformers with more taps can provide finer granularity and more flexible voltage adjustment options, it also means that there are more energy losses during the switching process, especially the instantaneous energy consumption and heat energy consumption caused by the instantaneous changes in current and voltage. These losses will not only affect the energy efficiency of the system, but may also cause the temperature rise of the transformer, increase the wear of the equipment, and shorten its service life; a large number of taps also means that the complexity of the system in design, maintenance and management is greatly increased. However, if the number of taps of the transformer is too small, the accuracy of voltage regulation will be greatly reduced, which will limit the flexibility of the transformer in dealing with different load conditions. Under various load conditions, there is a large uncertainty in the impact of different numbers of taps on system flexibility and stability, which is difficult to conduct comprehensive analysis and balanced control through traditional methods. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention provides a comprehensive auxiliary control system based on multiple parameters of a smart substation, which solves the problems in the above-mentioned background technology.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: a comprehensive auxiliary control system based on multiple parameters of a smart substation, including a load range determination module, an energy loss test module, a tap flexibility analysis module, a multi-parameter balance auxiliary control module and an optimization module;

[0006] The load range determination module is used to monitor the load terminal voltage demand required to be supplied by the corresponding transformer in the substation in advance using a monitoring instrument, and obtain the range of the output voltage of the corresponding transformer according to the load distribution state analysis;

[0007] The energy loss test module performs multiple tests on the winding of the corresponding transformer with different tap quantity conditions set based on the output voltage range of the corresponding transformer, and during the test, monitors the switching energy loss Nsz, heat loss Rsz and transmission loss Csz caused by the instantaneous changes of voltage and current when switching taps under different tap quantity conditions in real time, and analyzes and calculates the stability factor Wdyz based on the switching energy loss Nsz and heat loss Rsz. If the stability factor Wdyz exceeds a preset threshold, a tap quantity screening instruction is issued externally;

[0008] The tap flexibility analysis module will monitor the response state of the system to the load change rate and the switching step situation under the corresponding tap number conditions based on the selected tap number, so as to generate a set of relevant flexibility parameters, and construct an adaptation factor Syyz under different tap number conditions based on the set of relevant flexibility parameters;

[0009] The multi-parameter balance auxiliary control module is used to associate the stability factor Wdyz with the adaptation factor Syyz under corresponding conditions, and to fit and obtain the balance prediction coefficient Pgxs in combination with the multi-parameter balance auxiliary model constructed using the convolutional neural network technology;

[0010] The optimization module is used to pre-set the prediction threshold Q and compare it with the balance prediction coefficient Pgxs to comprehensively determine the balance state between system flexibility and stability under the current number of taps, and perform secondary screening operations based on the balance state.

[0011] Preferably, the load range determination module includes a monitoring unit and a range locking unit;

[0012] The monitoring unit is used to pre-install a monitoring instrument at the load end to monitor in real time the load end voltage demand status required to be supplied by the corresponding transformer within a historical period. The load end voltage demand status includes the voltage value required by the load end corresponding to the transformer within the historical period, and performs statistical processing to generate a total voltage demand range, wherein the monitoring instrument includes a voltage sensor.

[0013] Preferably, the range locking unit is used to analyze and obtain the range of the corresponding transformer output voltage based on the total voltage demand range through a statistical algorithm and in combination with a preset confidence level. The specific analysis and acquisition method is as follows:

[0014] Calculate the voltage mean from the total voltage demand range And voltage standard deviation , and according to the voltage mean And voltage standard deviation The standard error Bwc is calculated and obtained by:

[0015] ;

[0016] The significance of this formula is to measure the average voltage in the total voltage demand range The standard deviation of , where n represents the number of specific pressure values ​​in the total voltage demand range;

[0017] And through the standard normal distribution table, determine the confidence level corresponding to the critical value Z in the normal distribution, so as to calculate and obtain the range of the output voltage of the corresponding transformer in the smart substation: .

[0018] Preferably, the energy loss test module includes a tap position acquisition unit, a test monitoring unit, an output end transmission loss unit, an energy loss unit under different conditions, a stability analysis unit and a preliminary screening optimization unit;

[0019] The tap position acquisition unit is used to determine the voltage value of each tap in the winding of the transformer under the corresponding conditions according to the range of the output voltage of the corresponding transformer and the number of taps under the corresponding conditions;

[0020] The test monitoring unit will set the number of taps on the winding of the corresponding transformer multiple times based on the range of the output voltage of the corresponding transformer, and perform multiple tests on the winding of the corresponding transformer with different tap number conditions. At the same time, during the test process with different tap number conditions, the energy consumption state change data set under the corresponding tap number conditions is monitored and recorded in real time, wherein the energy consumption state change data set includes the energy consumption data caused by the instantaneous change of voltage and current when switching taps under each tap number condition, the heat energy consumption data when switching taps under each tap number condition, and the loss data of the transmission line between the output end of the transformer and the load end during the transmission process under each tap number condition;

[0021] The energy consumption data caused by the instantaneous change of voltage and current when switching taps under the conditions of the number of taps include the number of switching times M under the corresponding number of taps, the capacitance value Dr at each switching, the voltage value Qdz at each switching, and the switching frequency of the taps under the corresponding number of taps. ;

[0022] The thermal energy consumption data when switching taps under the conditions of each tap number include the current value Dcc flowing through the tap under the corresponding tap number conditions, the duration T, and the resistance value Cjz of the tap contact;

[0023] The loss data of the transmission line between the transformer output end and the load end during the transmission process under the conditions of each number of taps include the line resistance under the corresponding number of taps. , Line Reactance and the current flowing through the line ;

[0024] At the same time, during the test under different tap numbers, the tap switching frequency Qpz under the corresponding tap number condition is monitored in real time by using the limit switch;

[0025] The output end transmission loss unit is used to analyze and calculate the transmission loss Csz under the corresponding tap number conditions according to the loss data of the transmission line between the transformer output end and the load end during the transmission process under the conditions of each tap number, and is specifically obtained in the following manner:

[0026] ;

[0027] In the formula, Expressed as the current value flowing through the line, Expressed as line resistance, Expressed as line reactance.

[0028] Preferably, the energy consumption unit under different conditions will analyze and calculate the switching energy loss Nsz under the corresponding tap number condition based on the energy consumption data caused by the instantaneous changes of voltage and current when switching taps under each tap number condition, which is specifically obtained in the following way:

[0029] ;

[0030] Where M is the number of switching times under the corresponding number of taps. =1, 2, 3, ..., M, It is expressed as the capacitance value at the jth switching under the corresponding number of taps, It is expressed as the voltage value at the jth switching under the corresponding tap number conditions, It is expressed as the switching frequency of the taps under the condition of corresponding number of taps;

[0031] According to the thermal energy consumption data when switching taps under the conditions of each tap number, the heat loss Rsz under the conditions of the corresponding tap number is calculated, which can be obtained by the following method:

[0032] ;

[0033] In the formula, Dcc represents the current value flowing through the tap, Cjz represents the resistance value of the tap contact, and T represents the duration. Expressed as power loss.

[0034] Preferably, the stability analysis unit is used to map the corresponding data values ​​to the interval by correlating the heat loss Rsz and the switching energy loss Nsz under the corresponding number of taps according to the energy consumption data caused by the instantaneous change of voltage and current when switching taps under the conditions of each number of taps and the heat energy consumption data when switching taps under the conditions of each number of taps, and after linear normalization processing. In order to calculate the stability factor Wdyz under the condition of the corresponding number of taps, it can be obtained according to the following formula:

[0035] ;

[0036] Where K is the number of tap quantity changes, k=1, 2, 3, ..., K, Expressed as the heat loss under the kth tap number condition, Expressed as the average heat loss, Expressed as the switching energy loss under the kth tap number condition, Expressed as the average switching energy loss, and are weight values, is the first correction constant.

[0037] Preferably, the preliminary screening optimization unit is used to compare and analyze the stability factor Wdyz with a preset threshold value to preliminarily determine the stability of the system under the current tap quantity condition, and preliminarily screen out the adapted tap quantity condition. The specific preliminary judgment content is as follows:

[0038] If the stability factor Wdyz exceeds a preset threshold, it is preliminarily determined that the system under the current tap quantity condition is not in a stable state, and the current tap quantity condition is not used as the tap quantity on the winding of the corresponding transformer;

[0039] If the stability factor Wdyz does not exceed the preset threshold, it is preliminarily determined that the system under the current tap quantity condition is in a stable state. At this time, the corresponding tap quantity condition is marked and statistically processed to calculate the adaptation condition set.

[0040] Preferably, the tap flexibility analysis module includes a collection unit and an analysis unit;

[0041] The acquisition unit will monitor the response state of the system to the load change rate and the switching step situation under the corresponding tap number conditions in real time based on the preliminary screening optimization unit and the adaptation condition set to generate a set of relevant flexibility parameters, wherein the set of relevant flexibility parameters includes the response time Xysc and the tap voltage difference Cyjc under different tap numbers;

[0042] The analysis unit is used to map the corresponding data value to the interval by associating the response time Xysc and the tap voltage difference Cyjc according to the relevant flexibility parameter set and performing linear normalization processing. To obtain the adaptation factor Syyz under different tap numbers, the specific method is as follows:

[0043] ;

[0044] In the formula, and are weight values, is the second correction constant.

[0045] Preferably, the multi-parameter balance auxiliary control module is used to input the stability factor Wdyz, the adaptation factor Syyz and the transmission loss Csz under the condition of the corresponding number of taps into the multi-parameter balance auxiliary model, and after linear normalization processing, obtain the balance prediction coefficient Pgxs under the condition of the corresponding number of taps, which is specifically obtained in the following way:

[0046] ;

[0047] In the formula, , and are all weight values, and V represents the third correction constant.

[0048] Preferably, the optimization module includes a comparison unit and an optimization execution unit;

[0049] The comparison unit is used to compare and analyze the balance prediction coefficient Pgxs with the prediction threshold Q to comprehensively determine the balance state between system flexibility and stability under the current tap quantity condition. The specific contents are as follows:

[0050] If the balanced prediction coefficient Pgxs falls within the prediction threshold Q, it will be judged that the system flexibility and stability are in a balanced state under the current number of taps;

[0051] If the balance prediction coefficient Pgxs does not fall within the prediction threshold Q, it will be determined that the system flexibility and stability are not in a balanced state under the current tap number condition, and the tap number condition will not be used as the tap number on the winding of the corresponding transformer;

[0052] The execution optimization unit is used to summarize the tap quantity conditions corresponding to the balance prediction coefficients P falling within the prediction threshold Q for reference in setting the tap quantity in the corresponding transformer.

[0053] The present invention provides a comprehensive auxiliary control system based on multiple parameters of a smart substation, which has the following beneficial effects:

[0054] (1) The design of this system can further improve the flexibility and stability of the smart substation. Specifically, by monitoring the load voltage demand in the substation through the load range determination module, the load distribution and the corresponding transformer output voltage range can be determined more accurately, ensuring that the system can respond to different load changes in a timely manner and further achieve efficient power allocation. The energy loss test module can accurately measure the switching energy loss, heat loss and transmission loss generated during the switching process through real-time testing of the transformer under different tap numbers, and further calculate the stability factor Wdyz. This real-time monitoring and calculation can not only effectively identify the main source of energy loss, but also dynamically select the number of taps according to the set threshold to avoid unnecessary energy waste in the system in the later stage, further improving the overall energy efficiency of the system. The tap flexibility analysis module analyzes the system's response to load changes based on the number of taps after screening, and constructs the adaptation factor Syyz under different tap numbers. This flexibility analysis can determine the system's ability to cope with load fluctuations under different tap numbers, further reflecting its adaptability to different load demands. With the support of the multi-parameter balance auxiliary control module, by using convolutional neural network technology, the system can combine the stability factor Wdyz and the adaptability factor Syyz to construct a multi-parameter balance model. This model can comprehensively evaluate the current tap settings and obtain the balance prediction coefficient Pgxs, so as to more accurately grasp the state of the system between stability and flexibility. Finally, the optimization module compares the balance prediction coefficient Pgxs with the preset prediction threshold Q, and can automatically determine the system operation state under the current tap number conditions. Through secondary screening operations, the system can adaptively adjust the tap settings so that the system achieves a relatively good balance between flexibility and stability. In general, this comprehensive auxiliary control system can not only further accurately control energy loss and improve system operation efficiency, but also enhance the adaptability and response speed of smart substations in the face of complex power demand through multi-parameter balance analysis and intelligent optimization, thereby improving the stability of power supply while reducing operating costs.

[0055] (2) The energy loss unit under different conditions can perform detailed analysis based on the switching energy loss data under different tap numbers. By calculating the energy consumption data caused by the instantaneous changes in voltage and current when switching taps under different tap numbers, the module uses parameters such as the number of switching times, capacitance value, voltage value, and switching frequency to accurately estimate the energy loss during the switching process. Such analysis methods can help substations identify high-energy consumption working modes and make optimization adjustments based on real-time data, thereby reducing unnecessary energy consumption caused by frequent tap switching and further improving energy efficiency. The energy loss unit is not limited to the analysis of energy loss caused by voltage and current changes, but also includes a detailed evaluation of thermal energy consumption data when switching taps. By calculating the heat loss, it helps substations to more accurately evaluate the heat loss generated by the system during the switching operation and take appropriate cooling and heat dissipation measures to reduce the impact of thermal stress on equipment life, thereby improving equipment reliability and stability. Based on the energy consumption data, the energy consumption unit under different conditions can also be used as a real-time optimization tool to predict possible high energy consumption conditions or equipment failures, so as to identify possible abnormal operations or equipment aging problems early and take corresponding maintenance measures in advance to further avoid system shutdowns or failures caused by equipment overheating or excessive energy loss. This real-time prediction and optimization capability provides a strong guarantee for the efficient operation of substations.

[0056] (3) Through the role of the preliminary screening optimization unit, the system can quickly identify the unstable state of the system under the current number of taps and eliminate the condition of the number of taps. This intelligent screening mechanism enables the system to adjust and optimize in real time under different tap configuration conditions, and finally select a relatively suitable tap configuration. This method not only reduces unnecessary energy consumption, but also avoids equipment damage caused by system instability, thereby further extending the service life of the equipment. By real-time monitoring and analyzing the stability factor Wdyz under different tap numbers, the system can quickly adjust and respond according to the set threshold. This mechanism can take immediate measures when the system is potentially unstable to prevent failures or equipment damage caused by the continued instability. For transformer windings under different tap numbers, the system will automatically mark and count the set of adaptation conditions based on the evaluation results of the stability factor. This automated optimization process reduces the need for manual intervention and can find the relatively best tap configuration method more quickly, so that the transformer works under relatively optimal conditions, further improving the system energy efficiency and operation reliability. The stability analysis unit effectively reduces the heat loss and transmission loss that may be caused by the system during the switching process by identifying the tap number conditions that cause unstable states due to high energy consumption.

[0057] (4) Through the evaluation of the adaptation factor Syyz, the system can more intuitively judge the adaptability performance of the transformer under different load conditions, thereby making more accurate decisions in different operating scenarios. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Figure 1 This is a block diagram of a comprehensive auxiliary control system based on multiple parameters of a smart substation according to the present invention. DETAILED DESCRIPTION

[0059] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0060] Example 1

[0061] See also Figure 1 , the present invention provides a comprehensive auxiliary control system based on multiple parameters of a smart substation, including a load range determination module, an energy loss test module, a tap flexibility analysis module, a multi-parameter balance auxiliary control module and an optimization module;

[0062] The load range determination module is used to monitor the load terminal voltage demand required to be supplied by the corresponding transformer in the substation in advance using a monitoring instrument, and obtain the range of the output voltage of the corresponding transformer according to the load distribution state analysis;

[0063] The energy loss test module performs multiple tests on the winding of the corresponding transformer with different tap quantity conditions set based on the output voltage range of the corresponding transformer, and during the test, monitors the switching energy loss Nsz, heat loss Rsz and transmission loss Csz caused by the instantaneous changes of voltage and current when switching taps under different tap quantity conditions in real time, and analyzes and calculates the stability factor Wdyz based on the switching energy loss Nsz and heat loss Rsz. If the stability factor Wdyz exceeds a preset threshold, a tap quantity screening instruction is issued externally;

[0064] The tap flexibility analysis module will monitor the response state of the system to the load change rate and the switching step situation under the corresponding tap number conditions based on the selected tap number, so as to generate a set of relevant flexibility parameters, and construct an adaptation factor Syyz under different tap number conditions based on the set of relevant flexibility parameters;

[0065] The multi-parameter balance auxiliary control module is used to associate the stability factor Wdyz with the adaptation factor Syyz under corresponding conditions, and to fit and obtain the balance prediction coefficient Pgxs in combination with the multi-parameter balance auxiliary model constructed using the convolutional neural network technology;

[0066] The optimization module is used to pre-set the prediction threshold Q and compare it with the balance prediction coefficient Pgxs to comprehensively determine the balance state between system flexibility and stability under the current number of taps, and perform secondary screening operations based on the balance state.

[0067] Flexibility refers to the management of energy losses that affect the transformer's ability to respond to load changes when the load changes greatly. For example, frequent tap switching may cause additional losses, which in turn affects the flexibility of the system. If energy losses are properly controlled, the transformer can more flexibly adapt to different load requirements.

[0068] Stability refers to the fact that energy losses directly affect the efficiency and performance of the transformer. When losses increase, the output voltage of the transformer may be unstable, especially when the load changes. High losses will cause increased temperature rise, which may affect the stability and life of the equipment.

[0069] During the operation of this system, the load range determination module helps the system to accurately locate the operating status of the substation under different load conditions, making the subsequent energy loss test more targeted and efficient, thereby reducing unnecessary energy waste. Based on the set conditions of different tap numbers, the energy loss test module can test multiple times and monitor in real time the instantaneous changes of voltage and current during the tap switching process. This real-time monitoring enables the system to accurately calculate the switching energy loss, heat loss and transmission loss, and calculate the stability factor based on these loss data. By monitoring and judging the stability factor, the system can dynamically screen the number of taps to reduce losses and maintain stability, thereby improving the efficiency of the entire power transmission process. Through the tap flexibility analysis module, the system can monitor the response state of the system to the load change rate based on the screening of different tap numbers, generate a set of relevant flexibility parameters, and construct an adaptation factor based on this. This mechanism enables the system to respond more flexibly to frequently changing load demands under dynamic load conditions, ensure the adaptability and response speed of the system, and reduce the instability factors caused by load fluctuations. The system associates the stability factor and the adaptability factor through the multi-parameter balance auxiliary control module, and uses the balance auxiliary model constructed by convolutional neural network technology to fit the balance prediction coefficient. This enables the system to comprehensively consider the mutual influence between different parameters through intelligent algorithms, thereby providing more accurate decision support in a complex and changeable operating environment, ensuring that the system achieves a relatively good balance between flexibility and stability. In the optimization module, the system compares the threshold with the balance prediction coefficient, and can judge the balance state between system flexibility and stability under the current tap number conditions in real time, and perform secondary screening operations based on the balance state. The existence of this function enables the system to have adaptive adjustment capabilities, and can dynamically optimize the control strategy according to the actual operating status, so as to improve the overall operating efficiency and reliability of the substation as much as possible. In short, the beneficial effect of the system is that through the collaborative work of multiple modules such as load monitoring, energy loss assessment, flexibility analysis, multi-parameter balance control and intelligent optimization, the number of transformer taps in the smart substation is accurately managed and optimized. This integrated auxiliary control system further improves the response capability, energy efficiency and overall stability of the substation under different loads and operating conditions, and provides important technical support for the development of smart grids.

[0070] Example 2

[0071] Please refer to Figure 1 ,Specifically: the load range determination module includes a monitoring unit and a range locking unit;

[0072] The monitoring unit is used to pre-install a monitoring instrument at the load end to monitor in real time the load end voltage demand status required to be supplied by the corresponding transformer within a historical period. The load end voltage demand status includes the voltage value required by the load end corresponding to the transformer within the historical period, and performs statistical processing to generate a total voltage demand range, wherein the monitoring instrument includes a voltage sensor.

[0073] The range locking unit is used to analyze and obtain the range of the corresponding transformer output voltage based on the total voltage demand range through a statistical algorithm and in combination with a preset confidence level. The specific analysis and acquisition method is as follows:

[0074] Calculate the voltage mean from the total voltage demand range And voltage standard deviation , and according to the voltage mean And voltage standard deviation The standard error Bwc is calculated and obtained by:

[0075] ;

[0076] The significance of this formula is to measure the average voltage in the total voltage demand range The standard deviation of , where n represents the number of specific pressure values ​​in the total voltage demand range;

[0077] And through the standard normal distribution table, determine the confidence level corresponding to the critical value Z in the normal distribution, so as to calculate and obtain the range of the output voltage of the corresponding transformer in the smart substation: .

[0078] The standard normal distribution table is a lookup table used to obtain the cumulative probability in the standard normal distribution. It shows the area (i.e., cumulative probability) from negative infinity to a specific value in the normal distribution. The standard normal distribution table is used to calculate the percentage or distribution range of data points under a specific value.

[0079] In this embodiment, by installing a voltage sensor at the load end through the monitoring unit, the system can monitor and record the load end voltage demand required by the transformer in the historical period in real time. This real-time dynamic monitoring can grasp the changing trend of power demand in many aspects, effectively improve the system's response to the load end voltage demand, and make the subsequent analysis more accurate and reliable, providing detailed data support for the load management of the transformer. On the basis of the statistics of the total voltage demand range, the range locking unit accurately calculates the output voltage range of the transformer through a scientific statistical algorithm combined with a preset confidence level. In the specific analysis, by calculating key parameters such as the voltage mean, standard deviation, and standard error, the standard deviation of the voltage mean in the total voltage demand can be deeply measured. This method can further reduce the error caused by data deviation, improve the accuracy of determining the voltage demand range, and ensure the stability of the transformer under different operating conditions. The confidence level is evaluated using the critical value in the standard normal distribution table to ensure that the calculated transformer output voltage range is statistically significant at a high confidence level. This method can ensure the reliability of the system's prediction and analysis of the voltage range at a higher confidence level, thereby better coping with load fluctuations and improving the power transmission quality and system stability of the smart substation. Through statistical methods and calculation of standard errors, the system can accurately determine the output voltage range of the transformer within the total voltage demand range, which not only reduces the energy loss caused by voltage deviation, but also improves the working efficiency and life of the transformer while ensuring the stability of the power grid, and optimizes the operation of the entire smart substation. In summary, through the collaborative work of the monitoring unit and the range locking unit in the load range determination module, the precise monitoring, analysis and control of the voltage demand at the load end in the smart substation are further realized. This module not only improves the response and stability of the voltage demand, but also further improves the prediction ability and reliability of the system under different load conditions, providing a solid data foundation and scientific support for the optimized operation of the smart substation.

[0080] Example 3

[0081] Please refer to Figure 1 ,Specifically: the energy loss test module includes a tap position acquisition unit, a test monitoring unit, an output end transmission loss unit, an energy loss unit under different conditions, a stability analysis unit and a preliminary screening optimization unit;

[0082] The tap position acquisition unit is used to determine the voltage value of each tap in the winding of the transformer under the corresponding conditions according to the range of the output voltage of the corresponding transformer and the number of taps under the corresponding conditions;

[0083] The test monitoring unit will set the number of taps on the winding of the corresponding transformer multiple times based on the range of the output voltage of the corresponding transformer, and perform multiple tests on the winding of the corresponding transformer with different tap number conditions. At the same time, during the test process with different tap number conditions, the energy consumption state change data set under the corresponding tap number conditions is monitored and recorded in real time, wherein the energy consumption state change data set includes the energy consumption data caused by the instantaneous change of voltage and current when switching taps under each tap number condition, the heat energy consumption data when switching taps under each tap number condition, and the loss data of the transmission line between the output end of the transformer and the load end during the transmission process under each tap number condition;

[0084] The energy consumption data caused by the instantaneous change of voltage and current when switching taps under the conditions of the number of taps include the number of switching times M under the corresponding number of taps, the capacitance value Dr at each switching, the voltage value Qdz at each switching, and the switching frequency of the taps under the corresponding number of taps. ;

[0085] The thermal energy consumption data when switching taps under the conditions of each tap number include the current value Dcc flowing through the tap under the corresponding tap number conditions, the duration T, and the resistance value Cjz of the tap contact;

[0086] The loss data of the transmission line between the transformer output end and the load end during the transmission process under the conditions of each number of taps include the line resistance under the corresponding number of taps. , Line Reactance and the current flowing through the line ;

[0087] At the same time, during the test under different tap numbers, the tap switching frequency Qpz under the corresponding tap number condition is monitored in real time by using the limit switch;

[0088] The output end transmission loss unit is used to analyze and calculate the transmission loss Csz under the corresponding tap number conditions according to the loss data of the transmission line between the transformer output end and the load end during the transmission process under the conditions of each tap number, and is specifically obtained in the following manner:

[0089] ;

[0090] In the formula, Expressed as the current value flowing through the line, Expressed as line resistance, Expressed as line reactance. The resistance and reactance of long-distance transmission lines will cause power loss during transmission. The transmission loss Csz reflects the loss of voltage transmission;

[0091] The current value flowing through the line is It can be monitored and acquired through current transformer (CT) or Hall effect current sensor;

[0092] Line resistance It can be monitored and obtained using a precision resistance meter or ohmmeter;

[0093] Line Reactance Impedance analyzer or LCR meter can be used for monitoring and acquisition;

[0094] In this embodiment, through the tap position acquisition unit, the system can accurately determine the voltage value of each tap in the winding according to the range of the transformer output voltage and the number of taps. This precise positioning capability enables the system to accurately control and evaluate the working state of each tap when testing different tap number conditions, effectively improving the adaptability and response speed of the substation to load demand. The test monitoring unit can perform multiple tests on different tap number conditions, and monitor the energy consumption state change data set under each tap condition in real time, including energy consumption, heat energy consumption and transmission line loss data caused by instantaneous changes in voltage and current when switching taps. Through the comprehensive collection and analysis of these energy consumption data, the system can quickly identify the characteristics of energy consumption changes under different conditions, help optimize the tap switching strategy, and reduce unnecessary energy losses. This real-time monitoring and recording method greatly improves the energy utilization efficiency of the system in a variety of working environments. Under the conditions of each tap number, the system not only analyzes the relevant data of current, resistance and heat energy consumption, but also conducts a detailed evaluation of the resistance, reactance and current values ​​in the transmission line between the output end of the transformer and the load end. Through the output transmission loss unit, the system can calculate the amount of loss during the transmission process, thereby helping to identify the line energy transmission efficiency under different tap conditions. By analyzing these loss data, the system can take targeted optimization measures to reduce energy waste and improve the overall efficiency of power transmission. The energy loss test module can accurately record the tap switching frequency and transient energy loss during the switching process through the real-time monitoring function of the limit switch. By combining the number of tap switching times, capacitance value, voltage value and current value, the system can accurately analyze the dynamic response of the tap switching. The analysis of these data enables the system to optimize the tap switching frequency under different working conditions, thereby achieving higher flexibility and stability and reducing the power loss caused by frequent switching.

[0095] Example 4

[0096] Please refer to Figure 1 Specifically: the energy consumption unit under different conditions will analyze and calculate the switching energy loss Nsz under the corresponding tap number conditions based on the energy consumption data caused by the instantaneous changes in voltage and current when switching taps under each tap number condition, which is specifically obtained by the following method:

[0097] ;

[0098] Where M is the number of switching times under the corresponding number of taps. =1, 2, 3, ..., M, It is expressed as the capacitance value at the jth switching under the corresponding number of taps, It is expressed as the voltage value at the jth switching under the corresponding tap number conditions, It is expressed as the switching frequency of the taps under the condition of corresponding number of taps;

[0099] The switching times M under the above-mentioned corresponding tap quantity condition can be monitored and obtained by a switching counter;

[0100] Capacitance value at the jth switching under the corresponding number of taps This can be obtained by monitoring using a capacitance meter or LCR meter;

[0101] The voltage value at the jth switching under the corresponding tap number conditions The voltage can be monitored using a voltage transformer (PT) or a digital voltmeter;

[0102] According to the thermal energy consumption data when switching taps under the conditions of each tap number, the heat loss Rsz under the conditions of the corresponding tap number is calculated, which can be obtained by the following method:

[0103] ;

[0104] In the formula, Dcc represents the current value flowing through the tap, Cjz represents the resistance value of the tap contact, and T represents the duration, which refers to the time the current passes through the tap when the tap is switched. Expressed as power loss, it refers to the power loss generated when current flows through the tap contacts and wires during the tap switching process.

[0105] The above-mentioned current value Dcc flowing through the tap can be obtained by monitoring using a current transformer (CT) or a shunt;

[0106] The resistance value Cjz of the tap contact can be monitored and obtained by a contact resistance tester;

[0107] The duration T is monitored and obtained through a time relay;

[0108] In this embodiment, through the energy consumption unit under different conditions, the system can accurately calculate the switching energy loss under the corresponding number of taps based on the instantaneous change data of voltage and current when switching under each number of taps. The module combines the number of switching times, the capacitance value and voltage value at each switching, and the tap switching frequency to form a complete energy consumption evaluation model. Through this multi-parameter analysis, the system can accurately identify the energy loss law under different tap conditions, help optimize the switching process, and reduce unnecessary energy consumption. The system calculates the heat loss under the corresponding number of taps by analyzing the thermal energy consumption data when switching the taps. By using the current value flowing through the taps, the resistance value of the tap contacts, and the duration of the current, the system can accurately evaluate the power loss caused by the current flowing through the taps under different conditions. Through this in-depth analysis of heat loss, the system can not only identify the heat energy consumption during the tap switching process, but also adjust the operation strategy in real time according to the loss situation to prevent the impact of excessive heat energy loss on the equipment.

[0109] Example 5

[0110] Please refer to Figure 1 Specifically: the stability analysis unit is used to map the corresponding data values ​​to the interval by correlating the heat loss Rsz and the switching energy loss Nsz under the corresponding number of taps according to the energy consumption data caused by the instantaneous change of voltage and current when switching taps under the conditions of each number of taps and the heat energy consumption data when switching taps under the conditions of each number of taps, and after linear normalization processing. In order to calculate the stability factor Wdyz under the condition of the corresponding number of taps, it can be obtained according to the following formula:

[0111] ;

[0112] Where K is the number of tap quantity changes, k=1, 2, 3, ..., K, Expressed as the heat loss under the kth tap number condition, Expressed as the average heat loss, Expressed as the switching energy loss under the kth tap number condition, Expressed as the average switching energy loss, and are weight values, is the first correction constant, where and The specific value is set by the user according to the situation, and its range is: 0< ≤1,0< ≤1, and + =1.

[0113] The preliminary screening and optimization unit is used to compare and analyze the stability factor Wdyz with a preset threshold value to preliminarily determine the stability of the system under the current tap quantity condition and preliminarily screen out the adapted tap quantity condition. The specific preliminary judgment contents are as follows:

[0114] If the stability factor Wdyz exceeds a preset threshold, it is preliminarily determined that the system under the current tap quantity condition is not in a stable state, and the current tap quantity condition is not used as the tap quantity on the winding of the corresponding transformer;

[0115] If the stability factor Wdyz does not exceed the preset threshold, it is preliminarily determined that the system under the current tap quantity condition is in a stable state. At this time, the corresponding tap quantity condition is marked and statistically processed to calculate the adaptation condition set.

[0116] In this embodiment, the stability analysis unit associates the heat loss and the switching energy loss, and after linear normalization, maps them to a specific interval for calculating the stability factor Wdyz. This calculation process can comprehensively analyze the energy consumption under different tap numbers and provide a quantitative system stability evaluation index. In this way, the substation system can quickly evaluate its stability under different operating conditions, so as to take timely adjustment measures to minimize the system instability caused by energy consumption fluctuations. The stability analysis unit can preliminarily screen out the adapted tap number conditions under different conditions by comparing and analyzing the stability factors under each tap number condition. When the preset threshold is exceeded, the system determines that the current conditions are not suitable for the transformer winding tap configuration. This real-time screening function can effectively exclude unstable conditions, thereby improving the reliability of the equipment in actual operation. Such optimization screening not only saves energy consumption, but also reduces equipment failure rate and maintenance costs. Through the calculation and comparison of the stability factor Wdyz, the substation system can be quantitatively managed based on accurate energy consumption data. This method combines multi-dimensional energy consumption factors such as heat loss and switching energy loss, so that the system can achieve more refined energy consumption management. In actual operation, this means that the system can not only dynamically adjust the number of taps according to the current working conditions, but also achieve a relatively good balance between energy consumption and stability, further improving the overall energy utilization efficiency. By optimizing the screening function, the unstable number of taps can be eliminated in time, reducing the mechanical wear and electrical loss of the transformer when the taps are frequently switched. This not only extends the service life of the equipment, but also reduces the downtime and maintenance costs caused by equipment failure, and improves the overall operational efficiency and reliability of the substation. In summary, the stability analysis unit and the preliminary screening optimization unit in the substation system have improved the system reliability, energy efficiency level and equipment service life as much as possible through quantitative stability evaluation, precise condition screening and intelligent optimization and adjustment. These functions provide effective protection for the substation under complex working conditions, while reducing energy consumption and operating costs, and helping to achieve greener and more efficient power transmission and management.

[0117] Example 6

[0118] Please refer to Figure 1 ,Specifically: the tap flexibility analysis module includes a collection unit and an analysis unit;

[0119] The acquisition unit will monitor the response state of the system to the load change rate and the switching step situation under the corresponding tap number conditions in real time based on the preliminary screening optimization unit and the adaptation condition set to generate a set of relevant flexibility parameters, wherein the set of relevant flexibility parameters includes the response time Xysc and the tap voltage difference Cyjc under different tap numbers;

[0120] The analysis unit is used to map the corresponding data value to the interval by associating the response time Xysc and the tap voltage difference Cyjc according to the relevant flexibility parameter set and performing linear normalization processing. To obtain the adaptation factor Syyz under different tap numbers, the specific method is as follows:

[0121] ;

[0122] In the formula, and are weight values, is the second correction constant, where and The specific value is set by the user according to the situation, and its range is: 0< ≤1,0< ≤1, and + =1.

[0123] The above-mentioned response time Xysc refers to the response of the system to the load change rate, which can be monitored and obtained by a transient recorder;

[0124] The tap voltage level difference Cyjc is determined based on the voltage values ​​of each tap in the winding of the transformer under the corresponding conditions determined in the tap position acquisition unit, and the difference between the voltage values ​​is calculated;

[0125] In this embodiment, the acquisition unit system can grasp the real-time response capability to load changes. According to the real-time monitoring of the adaptation condition set, the number of taps can be quickly adjusted to cope with dynamic load changes. This improvement in response speed helps to ensure that the power system maintains a stable and efficient operating state when facing sudden load fluctuations, thereby reducing the impact of load shocks on equipment. The relevant flexibility parameter set generated by the acquisition unit includes key parameters such as response time and tap voltage differential. These parameters can provide quantitative data support for the response speed and voltage adjustment range of the system under different tap numbers. By obtaining these data, the system can fully understand the actual flexibility performance under each tap configuration, laying the foundation for further optimizing the tap adjustment strategy of the transformer. The analysis unit quantifies the adaptability under different tap numbers into an adaptation factor Syyz by associating the response time and tap voltage differential and performing linear normalization. This normalization maps the data under different conditions into the same interval, thereby eliminating the influence caused by unit differences, making the calculation of the adaptation factor more accurate. This method ensures that under different tap numbers, the system can objectively evaluate its flexibility level according to actual conditions. The concept of weight value and second correction constant is introduced into the calculation formula of the adaptive factor Syyz of the analysis unit, which allows users to flexibly adjust the importance of response time and voltage difference according to actual conditions. By setting different weight values, the system can better match the needs of specific application scenarios and optimize the flexibility analysis process. This flexible adjustment mechanism greatly improves the adaptability of the system in different application environments, allowing the system to maintain efficient response performance under changing load conditions. The real-time monitoring and intelligent analysis functions of the tap flexibility analysis module enable the system to effectively identify tap configurations in low flexibility states, so as to take preventive measures in advance and reduce system losses and maintenance costs. In short, the tap flexibility analysis module comprehensively evaluates the real-time response capability and flexibility of the system under different tap configurations, preparing to improve the response speed and adaptability of the transformer system when the load changes.

[0126] Example 7

[0127] Please refer to Figure 1 Specifically: the multi-parameter balance auxiliary control module is used to input the stability factor Wdyz, the adaptation factor Syyz and the transmission loss Csz under the corresponding tap number conditions into the multi-parameter balance auxiliary model, and after linear normalization processing, obtain the balance prediction coefficient Pgxs under the corresponding tap number conditions, which is specifically obtained in the following way:

[0128] ;

[0129] In the formula, , and are all weight values, V represents the third correction constant, where, , and The specific value is set by the user according to the situation, and its range is: 0< ≤1,0< ≤1,0< ≤1, and + + =1. The weight value can be obtained by referring to the hierarchical analysis method;

[0130] Convolutional neural network technology is used to construct an initial model, and the initial model is trained and tested with relevant parameters in the energy consumption state change data set, and the trained initial model is used as a state recognition model, characteristic information in the state recognition model is obtained respectively, and the state recognition model is trained and tested with the obtained characteristic information, and the trained state recognition model is used as a multi-parameter balance auxiliary model in combination with the tap quantity condition preliminarily screened;

[0131] The optimization module includes a comparison unit and an optimization execution unit;

[0132] The comparison unit is used to compare and analyze the balance prediction coefficient Pgxs with the prediction threshold Q to comprehensively determine the balance state between system flexibility and stability under the current tap quantity condition. The specific contents are as follows:

[0133] If the balanced prediction coefficient Pgxs falls within the prediction threshold Q, it will be judged that the system flexibility and stability are in a balanced state under the current number of taps;

[0134] If the balance prediction coefficient Pgxs does not fall within the prediction threshold Q, it will be determined that the system flexibility and stability are not in a balanced state under the current tap number condition, and the tap number condition will not be used as the tap number on the winding of the corresponding transformer;

[0135] The execution optimization unit is used to summarize the tap quantity conditions corresponding to the balance prediction coefficients P falling within the prediction threshold Q for reference in setting the tap quantity in the corresponding transformer.

[0136] It should be noted that the hierarchical analysis method is a combination of qualitative and quantitative analysis methods. It can decompose complex problems into multiple levels. By comparing the importance of factors at each level, it can help decision makers make decisions on complex problems and determine the final decision plan. In this process, the hierarchical analysis method can be used to determine the weight values ​​of these indicators.

[0137] In this embodiment, the multi-parameter balance auxiliary control module comprehensively considers the stability, flexibility and energy consumption of the system by inputting key parameters such as stability factor, adaptation factor and transmission loss into the balance model. This multi-dimensional parameter balance control not only comprehensively describes the operating state of the transformer under different tap numbers, but also ensures that the system can maintain the balance of overall performance when adjusting. By linearly normalizing the parameters under different tap numbers, the corresponding balance prediction coefficient Pgxs is obtained, so that the system can perform more accurate prediction and analysis on the current operating state. The linear normalization process eliminates the scale difference between the parameters, so that the system can more accurately and uniformly evaluate the balance state under each tap number when calculating the balance prediction coefficient. This method improves the system's ability to judge the stability and flexibility during tap switching. By comparing and analyzing the balance prediction coefficient Pgxs with the preset prediction threshold Q, the multi-parameter balance auxiliary control module can comprehensively evaluate the flexibility and stability state of the system under different tap numbers. When it falls within the prediction threshold range, it indicates that the system is in a balanced state under this tap number condition; otherwise, it means that the system is unbalanced. This evaluation mechanism provides a more reliable judgment basis for the tap configuration of the transformer, improves the system's adaptability in complex power grid environments, and reduces the uncertainty caused by human intervention.

[0138] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A comprehensive auxiliary control system based on multiple parameters of a smart substation, characterized by: It includes load range determination module, energy loss test module, tap flexibility analysis module, multi-parameter balance auxiliary control module and optimization module; The load range determination module is used to monitor the load terminal voltage demand required to be supplied by the corresponding transformer in the substation in advance using a monitoring instrument, and obtain the range of the output voltage of the corresponding transformer according to the load distribution state analysis; The energy loss test module performs multiple tests on the winding of the corresponding transformer under different tap quantity conditions based on the output voltage range of the corresponding transformer, and in the test process, monitors the switching energy loss Nsz, heat loss Rsz and transmission loss Csz caused by the instantaneous changes of voltage and current when switching taps under different tap quantity conditions in real time, and analyzes and calculates the stability factor Wdyz based on the switching energy loss Nsz and heat loss Rsz, and issues a tap quantity screening instruction if the stability factor Wdyz exceeds a preset threshold value; The tap flexibility analysis module will monitor the response state of the system to the load change rate and the switching step situation under the corresponding tap number conditions based on the selected tap number, so as to generate a set of relevant flexibility parameters, and construct an adaptation factor Syyz under different tap number conditions based on the set of relevant flexibility parameters; The multi-parameter balance auxiliary control module is used to associate the stability factor Wdyz with the adaptation factor Syyz under corresponding conditions, and to fit and obtain the balance prediction coefficient Pgxs in combination with the multi-parameter balance auxiliary model constructed using the convolutional neural network technology; The optimization module is used to pre-set the prediction threshold Q and compare it with the balance prediction coefficient Pgxs to comprehensively determine the balance state between system flexibility and stability under the current number of taps, and perform secondary screening operations based on the balance state.

2. According to claim 1, a comprehensive auxiliary control system based on multiple parameters of a smart substation is characterized by: The load range determination module includes a monitoring unit and a range locking unit; The monitoring unit is used to pre-install a monitoring instrument at the load end to monitor in real time the load end voltage demand status required to be supplied by the corresponding transformer within a historical period. The load end voltage demand status includes the voltage value required by the load end corresponding to the transformer within the historical period, and performs statistical processing to generate a total voltage demand range, wherein the monitoring instrument includes a voltage sensor.

3. According to claim 2, a comprehensive auxiliary control system based on multiple parameters of a smart substation is characterized by: The range locking unit is used to analyze and obtain the range of the corresponding transformer output voltage based on the total voltage demand range through a statistical algorithm and in combination with a preset confidence level. The specific analysis and acquisition method is as follows: Calculate the voltage mean from the total voltage demand range And voltage standard deviation , and according to the voltage mean And voltage standard deviation The standard error Bwc is calculated and obtained by: ； The significance of this formula is to measure the average voltage in the total voltage demand range The standard deviation of , where n represents the number of specific pressure values ​​in the total voltage demand range; And through the standard normal distribution table, determine the confidence level corresponding to the critical value Z in the normal distribution, so as to calculate and obtain the range of the output voltage of the corresponding transformer in the smart substation: .

4. According to claim 1, a comprehensive auxiliary control system based on multiple parameters of a smart substation is characterized by: The energy loss test module includes a tap position acquisition unit, a test monitoring unit, an output end transmission loss unit, an energy loss unit under different conditions, a stability analysis unit and a preliminary screening optimization unit; The tap position acquisition unit is used to determine the voltage value of each tap in the winding of the transformer under the corresponding conditions according to the range of the output voltage of the corresponding transformer and the number of taps under the corresponding conditions; The test monitoring unit will set the number of taps on the winding of the corresponding transformer multiple times based on the range of the output voltage of the corresponding transformer, and perform multiple tests on the winding of the corresponding transformer with different tap number conditions. At the same time, during the test process with different tap number conditions, the energy consumption state change data set under the corresponding tap number conditions is monitored and recorded in real time, wherein the energy consumption state change data set includes the energy consumption data caused by the instantaneous change of voltage and current when switching taps under each tap number condition, the heat energy consumption data when switching taps under each tap number condition, and the loss data of the transmission line between the output end of the transformer and the load end during the transmission process under each tap number condition; The energy consumption data caused by the instantaneous change of voltage and current when switching taps under the conditions of the number of taps include the number of switching times M under the corresponding number of taps, the capacitance value Dr at each switching, the voltage value Qdz at each switching, and the switching frequency of the taps under the corresponding number of taps. ; The thermal energy consumption data when switching taps under the conditions of each number of taps include the current value Dcc flowing through the taps under the corresponding number of taps, the duration T, and the resistance value Cjz of the tap contact; The loss data of the transmission line between the transformer output end and the load end during the transmission process under the conditions of each number of taps include the line resistance under the corresponding number of taps. , Line Reactance and the current flowing through the line ; At the same time, during the test under different tap numbers, the tap switching frequency Qpz under the corresponding tap number condition is monitored in real time by using the limit switch; The output end transmission loss unit is used to analyze and calculate the transmission loss Csz under the corresponding tap number conditions according to the loss data of the transmission line between the transformer output end and the load end during the transmission process under the conditions of each tap number, and is specifically obtained in the following manner: ； In the formula, Expressed as the current value flowing through the line, Expressed as line resistance, Expressed as line reactance.

5. According to claim 4, the integrated auxiliary control system based on multiple parameters of a smart substation is characterized in that: The energy consumption unit under different conditions will analyze and calculate the switching energy loss Nsz under the corresponding tap number condition based on the energy consumption data caused by the instantaneous change of voltage and current when switching taps under each tap number condition, which is specifically obtained in the following way: ； Where M is the number of switching times under the corresponding number of taps. =1, 2, 3, ..., M, It is expressed as the capacitance value at the jth switching under the corresponding number of taps, It is expressed as the voltage value at the jth switching under the corresponding tap number conditions, It is expressed as the switching frequency of the taps under the condition of corresponding number of taps; According to the thermal energy consumption data when switching taps under the conditions of each tap number, the heat loss Rsz under the conditions of the corresponding tap number is calculated, which can be obtained by the following method: ； In the formula, Dcc represents the current value flowing through the tap, Cjz represents the resistance value of the tap contact, and T represents the duration. Expressed as power loss.

6. The integrated auxiliary control system based on multiple parameters of a smart substation according to claim 4 is characterized in that: The stability analysis unit is used to map the corresponding data values ​​to the interval by correlating the heat loss Rsz and the switching energy loss Nsz under the corresponding number of taps according to the energy consumption data caused by the instantaneous change of voltage and current when switching taps under the conditions of each number of taps and the heat energy consumption data when switching taps under the conditions of each number of taps, and after linear normalization processing. In order to calculate the stability factor Wdyz under the condition of the corresponding number of taps, it can be obtained according to the following formula: ； Where K is the number of tap quantity changes, k=1, 2, 3, ..., K, Expressed as the heat loss under the kth tap number condition, Expressed as the average heat loss, Expressed as the switching energy loss under the kth tap number condition, Expressed as the average switching energy loss, and are weight values, is the first correction constant.

7. The integrated auxiliary control system based on multiple parameters of a smart substation according to claim 4 is characterized by: The preliminary screening and optimization unit is used to compare and analyze the stability factor Wdyz with a preset threshold value to preliminarily determine the stability of the system under the current tap quantity condition and preliminarily screen out the adapted tap quantity condition. The specific preliminary judgment contents are as follows: If the stability factor Wdyz exceeds a preset threshold, it is preliminarily determined that the system under the current tap quantity condition is not in a stable state, and the current tap quantity condition is not used as the tap quantity on the winding of the corresponding transformer; If the stability factor Wdyz does not exceed the preset threshold, it is preliminarily determined that the system under the current tap quantity condition is in a stable state. At this time, the corresponding tap quantity condition is marked and statistically processed to calculate the adaptation condition set.

8. The integrated auxiliary control system based on multiple parameters of a smart substation according to claim 7 is characterized in that: The tap flexibility analysis module includes a collection unit and an analysis unit; The acquisition unit will monitor the response state of the system to the load change rate and the switching step situation under the corresponding tap number conditions in real time based on the preliminary screening optimization unit and the adaptation condition set to generate a set of relevant flexibility parameters, wherein the set of relevant flexibility parameters includes the response time Xysc and the tap voltage difference Cyjc under different tap numbers; The analysis unit is used to map the corresponding data value to the interval by associating the response time Xysc and the tap voltage difference Cyjc according to the relevant flexibility parameter set and performing linear normalization processing. To obtain the adaptation factor Syyz under different tap numbers, the specific method is as follows: ； In the formula, and are weight values, is the second correction constant.

9. The integrated auxiliary control system based on multiple parameters of a smart substation according to claim 1 is characterized by: The multi-parameter balance auxiliary control module is used to input the stability factor Wdyz, the adaptation factor Syyz and the transmission loss Csz under the corresponding tap number conditions into the multi-parameter balance auxiliary model, and after linear normalization processing, obtain the balance prediction coefficient Pgxs under the corresponding tap number conditions, which is specifically obtained in the following way: ； In the formula, , and are all weight values, and V represents the third correction constant.

10. The integrated auxiliary control system based on multiple parameters of a smart substation according to claim 1 is characterized in that: The optimization module includes a comparison unit and an optimization execution unit; The comparison unit is used to compare and analyze the balance prediction coefficient Pgxs with the prediction threshold Q to comprehensively determine the balance state between system flexibility and stability under the current tap quantity condition. The specific contents are as follows: If the balanced prediction coefficient Pgxs falls within the prediction threshold Q, it will be judged that the system flexibility and stability are in a balanced state under the current number of taps; If the balance prediction coefficient Pgxs does not fall within the prediction threshold Q, it will be determined that the system flexibility and stability are not in a balanced state under the current tap number condition, and the tap number condition will not be used as the tap number on the winding of the corresponding transformer; The execution optimization unit is used to summarize the tap quantity conditions corresponding to the balance prediction coefficients P falling within the prediction threshold Q for reference in setting the tap quantity in the corresponding transformer.

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