Capacity optimization method and system based on harmonic weight factor

Abstract

The invention provides a capacity optimization method and system based on a harmonic weight factor, and relates to the technical field of power transformer design, and the method comprises the steps: obtaining the harmonic characteristics of a transformer through analyzing the harmonic component of the harmonic of the transformer and the relation between the harmonic and a fundamental wave; constructing a stable coil capacity calculation optimization model according to the harmonic characteristics of the transformer; according to the stable coil capacity calculation optimization model, obtaining a stable coil theoretical capacity of harmonic characteristics; introducing a safety coefficient according to the theoretical capacity, and correcting the theoretical capacity through the safety coefficient; performing heat effect compensation on the corrected theoretical capacity to obtain a re-corrected theoretical capacity; and performing multi-harmonic superposition on the re-corrected theoretical capacity, calculating a final capacity, and determining a final design value of the stable coil so as to realize capacity optimization of the harmonic weight factor. According to the method, the capacity required by the stable coil is accurately calculated by analyzing the harmonic characteristics, so that the purposes of safety, reliability and capability of greatly saving the material cost are achieved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power transformer design, in particular to a capacity optimization method and system based on harmonic weight factors. BACKGROUND

[0002] In the past 110KV level transformer design, when encountering YNyn0 connection group, the value of the capacity of the stabilizing coil is usually determined by a fixed proportion. Specifically, the designer often determines the capacity of the stabilizing coil according to 1 / 4 or 1 / 3 of the capacity of the transformer. This method of taking value has certain rationality and feasibility under certain conditions, especially when the stabilizing coil needs to run under load. When the stabilizing coil bears the load, it not only provides a path for harmonic current, but also needs to bear a certain amount of active current. At this time, according to the value of 1 / 4 or 1 / 3 of the capacity of the transformer, it can ensure that the stabilizing coil has enough capacity to cope with various working conditions and ensure the normal operation of the transformer.

[0003] However, in actual application, there are cases where the stabilizing coil does not bear the load and only serves as a harmonic current loop. In this specific scenario, the traditional capacity value method is too conservative, resulting in waste of resources. This redundancy of capacity value not only increases the manufacturing cost of the transformer, resulting in waste of copper materials, iron cores and other raw materials, but also increases the volume and weight of the transformer, increasing the difficulty of transportation and installation. In addition, the excessive capacity of the stabilizing coil may also cause some potential problems, such as increasing the loss and temperature rise of the transformer, reducing the operating efficiency and service life of the transformer. SUMMARY

[0004] The technical problem to be solved by the present application is to provide a capacity optimization method and system based on harmonic weight factors, which accurately calculates the required capacity of the stabilizing coil by analyzing the harmonic characteristics, and realizes the goal of being safe and reliable while greatly saving material cost.

[0005] To solve the above technical problems, the technical solutions of the present application are as follows: In a first aspect, a capacity optimization method based on harmonic weight factors, the method comprising: Obtaining the transformer harmonic characteristics by analyzing the harmonic components of the transformer harmonics and the relationship between the harmonics and the fundamental wave; According to the transformer harmonic characteristics, a stabilizing coil capacity calculation optimization model is constructed; According to the stabilizing coil capacity calculation optimization model, the theoretical capacity of the stabilizing coil of the harmonic characteristics is obtained; According to the theoretical capacity, a safety factor is introduced, and the theoretical capacity is corrected through the safety factor; The corrected theoretical capacity is compensated for thermal effect to obtain a second corrected theoretical capacity; By superimposing multiple harmonics on the revised theoretical capacity, the final capacity is calculated, and the final design value of the stabilizing coil is determined, thereby achieving capacity optimization of the harmonic weighting factor.

[0006] Furthermore, by analyzing the components of transformer harmonics and the relationship between harmonics and the fundamental frequency, the harmonic characteristics of the transformer are obtained, including: Harmonics of a 110kV transformer using a YNyn0 connection group; Harmonic components are identified, and the third harmonic with zero-sequence characteristics is obtained to obtain the harmonic components in the transformer. Current monitoring was performed on transformers under different operating conditions to obtain the current and potential of the third harmonic and fundamental waves. By comparing the values ​​of the third harmonic current and the fundamental current, we obtain... ,in, It is the third harmonic current. It is the fundamental current; By comparing the values ​​of the third harmonic potential and the fundamental potential, we obtain... ,in, The third harmonic potential, This is the fundamental potential.

[0007] Furthermore, based on the transformer's harmonic characteristics, an optimization model for calculating the stable coil capacity is constructed, including: Based on the harmonic characteristics of the transformer, the modeling direction for calculating the stable coil capacity based on harmonic current and potential is determined; Based on the modeling direction and capacity calculation formula Build an optimization model for , It is the theoretical capacity. It is the third harmonic current. The third harmonic potential, It's capacity. I It is electric current. V It is electric potential.

[0008] Furthermore, based on the optimized model for calculating the stable coil capacity, the theoretical capacity of the stable coil with harmonic characteristics is obtained, including: Based on harmonic relationships, obtain and ; Based on the optimization model, and and ,pass Calculate the theoretical capacity ratio to obtain the theoretical capacity of the stable coil with harmonic characteristics.

[0009] Furthermore, based on the theoretical capacity, a safety factor is introduced, and the theoretical capacity is corrected using the safety factor, including: introducing a safety factor; Based on the different complexity of harmonic fluctuations and actual working conditions, the value range of the safety factor is set to 1.5-2.0; Multiply the theoretical capacity by the safety factor to correct the theoretical capacity and obtain the corrected capacity.

[0010] Further, the corrected theoretical capacity is compensated for thermal effects to obtain a second corrected theoretical capacity, including: According to historical data, the high-frequency eddy current loss increases the capacity by 20%-30%; According to the capacity increase ratio caused by high-frequency eddy current loss, a compensation factor is determined, and the value range of the compensation factor is 1.2-1.3; Multiply the corrected capacity by the compensation factor to obtain the second corrected theoretical capacity.

[0011] Further, the second corrected theoretical capacity is subjected to multi-harmonic superposition to calculate the final capacity and determine the final design value of the stabilizing coil to achieve capacity optimization of the harmonic weight factor, including: Determine the contribution of multi-harmonic superposition to the capacity of the stabilizing coil, which is 5%-10%; According to the contribution of multi-harmonic superposition to the capacity of the stabilizing coil, set the coefficient of multi-harmonic superposition influence, and the value range of the coefficient is 1.05-1.1; Multiply the second corrected capacity by the coefficient of multi-harmonic superposition influence to obtain the final capacity; According to the final capacity, the final design value of the stabilizing coil is determined as to achieve capacity optimization of the harmonic weight factor, wherein, is the final design capacity of the stabilizing coil, is the rated capacity of the transformer.

[0012] In the second aspect, a capacity optimization system based on a harmonic weight factor includes: An acquisition module is configured to obtain transformer harmonic characteristics by analyzing the harmonic components of transformer harmonics and the relationship between harmonics and fundamental waves; An optimization module is configured to construct a stabilizing coil capacity calculation optimization model based on the transformer harmonic characteristics, and obtain the stabilizing coil theoretical capacity of the harmonic characteristics according to the stabilizing coil capacity calculation optimization model; A correction module is configured to introduce a safety factor according to the theoretical capacity and correct the theoretical capacity by the safety factor, compensate for the thermal effects of the corrected theoretical capacity to obtain a second corrected theoretical capacity, and calculate the final capacity by subjecting the second corrected theoretical capacity to multi-harmonic superposition to determine the final design value of the stabilizing coil to achieve capacity optimization of the harmonic weight factor.

[0013] In a third aspect, a computing device includes: one or more processors; a memory device storing one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method.

[0014] In a fourth aspect, a computer-readable storage medium stores a program, when executed by a processor, implements the method.

[0015] The above scheme of the present application at least has the following beneficial effects: In the traditional design, the stabilizing coil of the YNyn0 connection group transformer is designed according to 1 / 3-1 / 4 of the rated capacity, and in the present application, when the stabilizing coil is not loaded and is only used for the harmonic circuit, the stabilizing coil capacity is optimized to 10%-15% of the rated capacity of the transformer through accurate analysis of the harmonic characteristics, so that the copper material usage is reduced from 100% in the traditional design to 30%-40%, the use of copper material is greatly reduced, the raw material procurement cost is reduced, the core window area is also reduced by 15%-20% due to the reduction of the coil size, the use of core material is reduced, and the material cost is further reduced. Due to the reduction of material usage, the overall manufacturing cost of the transformer is reduced by 25%-35%. This not only improves the market competitiveness of the product, but also brings considerable economic benefits to the enterprise.

[0016] The present application deeply analyzes the harmonic components of the transformer harmonics and the relationship between the harmonics and the fundamental wave, accurately obtains key parameters such as 3rd harmonic current and potential, and constructs a stabilizing coil capacity calculation optimization model based on these parameters. On the basis of calculating the theoretical capacity, the safety factor is introduced, the thermal effect compensation is carried out, and the multi-harmonic superposition correction is carried out. The safety factor considers the harmonic fluctuation and the non-ideal working condition, the thermal effect compensation considers the high-frequency eddy current loss, and the multi-harmonic superposition correction considers the influence of 5th, 7th and other harmonics on the capacity.

[0017] By accurately calculating the capacity of the stabilizing coil, it can better provide a circuit for the harmonic current and effectively suppress the influence of the harmonic on the transformer. This helps to reduce the problems of transformer heating, vibration and insulation damage caused by harmonics, improve the operation stability and reliability of the transformer, and reasonable stabilizing coil capacity design can reduce unnecessary energy loss and reduce the temperature rise of the transformer. BRIEF DESCRIPTION OF DRAWINGS

[0018] Figure 1 is a flowchart of a capacity optimization method based on a harmonic weight factor provided by an embodiment of the present application.

[0019] Figure 2 is a capacity optimization system schematic diagram based on a harmonic weight factor provided by an embodiment of the present application. Detailed Implementation

[0020] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

[0021] like Figure 1 As shown, an embodiment of the present invention proposes a capacity optimization method based on harmonic weighting factors, the method comprising the following steps: Step 11: By analyzing the harmonic components of the transformer harmonics and the relationship between the harmonics and the fundamental wave, the harmonic characteristics of the transformer are obtained. Step 12: Based on the transformer harmonic characteristics, construct an optimized model for calculating the stable coil capacity; Step 13: Calculate the optimization model based on the stable coil capacity to obtain the theoretical capacity of the stable coil with harmonic characteristics; Step 14: Based on the theoretical capacity, introduce a safety factor and adjust the theoretical capacity using the safety factor; Step 15: Perform thermal effect compensation on the corrected theoretical capacity to obtain the corrected theoretical capacity again; Step 16: Calculate the final capacity by superimposing multiple harmonics on the revised theoretical capacity, and determine the final design value of the stabilizing coil to achieve capacity optimization of the harmonic weighting factor.

[0022] In the embodiments of the present application, a deep understanding of the transformer harmonic components and their relationship with the fundamental wave can accurately grasp the electrical characteristics of the transformer in actual operation, which helps to discover potential harmonic problems such as overheating and vibration caused by harmonics, and take preventive measures in advance to ensure the stable operation of the transformer. The optimization model based on the harmonic characteristics of the transformer can more accurately calculate the capacity of the stabilizing coil. The traditional design method may ignore the harmonic factor, resulting in inaccurate capacity design, while the optimization model fully considers the influence of harmonics, making the design result closer to the actual situation. The introduction of the safety factor can consider various uncertain factors that may occur in actual operation, such as harmonic fluctuations and load changes. By correcting the theoretical capacity, the capacity margin of the stabilizing coil is increased, the reliability of the stabilizing coil under complex working conditions is improved, and the risk of failure caused by insufficient capacity is reduced. The safety factor can be adjusted according to the actual situation to adapt to different operating conditions. For occasions with large harmonic fluctuations or frequent load changes, a larger safety factor can be selected to ensure that the stabilizing coil can operate safely and reliably under various conditions. High-frequency eddy current loss will cause the stabilizing coil to heat up, which will affect the insulation performance and mechanical strength of the stabilizing coil. Through thermal effect compensation, the heating factor in actual operation is considered, which makes the corrected theoretical capacity more consistent with the actual situation, ensuring the performance of the stabilizing coil within the normal working temperature range. In addition to the 3rd harmonic, the 5th and 7th harmonics also have some impact on the capacity of the stabilizing coil. By calculating the final capacity through superposition of multiple harmonics, the influence of various harmonics is considered comprehensively, making the capacity design of the stabilizing coil more accurate and reasonable, and determining the final design value to realize the capacity optimization of the harmonic weight factor.

[0023] In a preferred embodiment of the present application, the above step 11 can include: Step 111, obtaining the harmonics of the 110KV level transformer using the YNyn0 connection group; Step 112, identifying the harmonic components to obtain the 3rd harmonic with zero sequence characteristics, and obtaining the harmonic components in the transformer; Step 113, monitoring the current of the transformer under different working conditions to obtain the current and potential of the 3rd harmonic and the fundamental wave; Step 114, comparing the values of the 3rd harmonic current and the fundamental wave current to obtain wherein, is the 3rd harmonic current, is the fundamental wave current; Step 115, comparing the values of the 3rd harmonic potential and the fundamental wave potential to obtain wherein, is the 3rd harmonic potential, is the fundamental wave potential.

[0024] In the embodiment of the present application, the harmonic information of the transformer is obtained to comprehensively understand the electrical characteristics of the transformer in the running process. The harmonic is an inevitable phenomenon in the power system, and understanding the harmonic condition helps to evaluate the running state of the transformer and find potential electrical problems, such as overheating and vibration. Among the many harmonic components, the third harmonic with zero sequence characteristics is identified to accurately locate the key harmonic that has a greater impact on the transformer. The third harmonic has special zero sequence characteristics in the transformer with YNyn0 connection group, and has an important influence on the operation and performance of the transformer, and identifying it helps to analyze and process it specifically. The running state of the transformer is different under different working conditions, and the harmonic characteristics will also change. The third harmonic and fundamental current and potential under different working conditions are obtained through current monitoring, which can comprehensively understand the harmonic condition of the transformer under various operating conditions. The content of the third harmonic current in the fundamental current can be quantified. This ratio intuitively reflects the influence degree of the harmonic on the fundamental, which helps to evaluate the severity of the harmonic, and the ratio of the potential can evaluate the influence of the third harmonic potential on the fundamental potential.

[0025] In a specific embodiment of the present application, the specific steps include: Steps 111-113, the research object is a 110KV transformer with YNyn0 connection group. In the transformer with YNyn0 connection group, the harmonic components are identified. Through theoretical analysis and practical experience, it is known that the third harmonic has special zero sequence characteristics. Since there is no neutral point access in this connection group, the third harmonic current cannot flow through the neutral point, so the stabilizing coil needs to provide a loop for the third harmonic current.

[0026] Step 114, the relationship between the third harmonic current and the fundamental current is studied in depth by combining actual measurement and theoretical analysis. In actual measurement, the current of the transformer under different working conditions is monitored, and the values of the third harmonic current and the fundamental current are recorded; at the same time, electromagnetic field theory and other related knowledge are used for analysis. Through a large amount of data and theoretical analysis, it is concluded that the amplitude of the third harmonic current under typical working conditions is generally 30%-40% of the fundamental current, that is, .

[0027] Step 115, the generation of harmonic potential is closely related to magnetic circuit saturation and winding structure. The degree of magnetic circuit saturation affects the change of magnetic flux, and the winding structure determines the distribution and size of the potential. Based on this principle, the third harmonic potential is about 30% of the fundamental potential , that is, . Through comprehensive analysis, the main harmonic component (third harmonic) in the transformer and its relationship with the fundamental (current and potential) are obtained.

[0028] In a preferred embodiment of the present application, the above step 12 can include: Step 121, according to the transformer harmonic characteristics, determine the modeling direction for calculating the capacity of the stabilizing coil based on the harmonic current and potential; Step 122, according to the modeling direction and the capacity calculation formula , construct an optimization model as , is the theoretical capacity, is the third harmonic current, is the third harmonic potential, is the capacity, I is the current, V is the potential.

[0029] In the embodiment of the present application, the transformer harmonic characteristics reflect its electrical behavior in actual operation, and the modeling direction is determined according to the characteristics, which can make the constructed model more consistent with the real working condition of the transformer. For example, the harmonic characteristics of different transformers are different due to factors such as winding structure and magnetic circuit design, and modeling based on specific harmonic characteristics can ensure that the model accurately reflects the capacity demand of the stabilizing coil of the transformer, avoiding the deviation caused by the general model. The optimization model provides a clear capacity calculation formula, which quantifies various factors in mathematical form, making the calculation of the capacity of the stabilizing coil intuitive and accurate. By inputting specific harmonic current, potential, and current, potential, etc. Parameters, the theoretical capacity can be quickly calculated.

[0030] In a specific embodiment of the present application, the specific steps include: Step 121, based on the obtained harmonic characteristics, i.e. the third harmonic current , the amplitude is generally 30%-40% of the fundamental current , the third harmonic potential is about 30% of the fundamental potential , determine the modeling direction of the optimization model, the modeling direction should be based on the harmonic current and potential to calculate the capacity of the stabilizing coil.

[0031] Step 122, according to the capacity calculation formula , combined with the modeling direction determined in step two, determine the optimization model , the formula shows that the capacity of the stabilizing coil depends on the product of the third harmonic current and the third harmonic potential, and by using the basic capacity calculation formula, the harmonic characteristics are related to the capacity calculation.

[0032] In a preferred embodiment of the present application, the above step 13 can include: Step 131, according to the harmonic relationship, obtain and ; Step 132, according to the optimization model, and and , through The theoretical capacity proportion is calculated to obtain the stable coil theoretical capacity of harmonic characteristics.

[0033] In the embodiment of the present application, the third harmonic current and potential often have a key influence on the stable coil capacity among many harmonic components, and accurate acquisition of the two parameters can directly focus on the factors that play a decisive role in the design of the stable coil, and through the acquisition of and , the propagation and action mechanism of the third harmonic in the transformer and the entire power system are analyzed. Understanding the size, phase relationship and other aspects of the harmonic current and potential helps to evaluate the influence of harmonics on transformer loss, temperature rise, insulation performance and other aspects, so that targeted measures can be taken to suppress these influences when designing the stable coil. Based on the optimization model and accurate and parameters, the theoretical capacity proportion is calculated and the stable coil theoretical capacity is obtained, which can closely combine the harmonic characteristics and the capacity calculation to realize accurate capacity calculation.

[0034] In a specific embodiment of the present application, the specific steps include: Substitute and into the formula to obtain Since and the rated capacity of the transformer there is a corresponding relationship. The corresponding relationship is that the product of the fundamental current and the fundamental potential is related to the rated capacity under ideal conditions, so it can be approximately considered that ≈ , that is, the theoretical capacity can be reduced to about 10% of the rated capacity of the transformer. The proportional relationship between the stable coil theoretical capacity based on harmonic characteristics and the rated capacity of the transformer is calculated, and the stable coil theoretical capacity of harmonic characteristics is obtained.

[0035] In a preferred embodiment of the present application, the above step 14 can include: Step 141, introducing a safety factor; Step 142, based on different complexity of harmonic fluctuations and actual working conditions, the value range of the safety factor is set to 1.5-2.0; Step 143, multiply the safety factor by the theoretical capacity to correct the theoretical capacity and obtain the corrected capacity.

[0036] In the embodiment of the present application, a safety factor is introduced in the design of the transformer stabilizing coil capacity, which takes into account various uncertain factors that may occur in actual operation, such as harmonic fluctuations, load changes, environmental changes, etc. These uncertain factors may cause the theoretically calculated capacity to be unable to meet the actual demand, and the introduction of the safety factor can increase the margin for design, thereby improving the reliability of the stabilizing coil under various complex conditions and reducing the risk of failure due to insufficient capacity. In engineering practice, it is difficult to accurately predict all possible operating conditions and interference factors. The introduction of the safety factor is a conservative design method based on engineering experience, which meets the requirements of safety and stability in actual engineering and ensures that the transformer can work safely and reliably in actual operation. The complexity of harmonic fluctuations differs greatly under different transformer operating environments and conditions. By setting a safety factor value range of 1.5-2.0, the appropriate safety factor can be flexibly selected according to the actual situation. For conditions with complex harmonic fluctuations and harsh operating environments, a larger safety factor (e.g., close to 2.0) can be selected to ensure sufficient capacity margin; while for conditions with relatively stable harmonics and good operating conditions, a smaller safety factor (e.g., close to 1.5) can be selected to avoid overdesign and reduce costs under the premise of ensuring safety. By multiplying the theoretical capacity by the safety factor, the corrected capacity can fully consider various adverse factors in actual operation, ensuring that the stabilizing coil has sufficient capacity to cope with harmonic interference and other disturbances in actual operation, and ensuring the normal operation of the transformer.

[0037] In a specific embodiment of the present application, the specific steps include: Step 141, in order to ensure that the stabilizing coil can safely and reliably operate under various complex conditions, a safety factor is introduced, and the role of the safety factor is to provide a certain margin for the capacity of the stabilizing coil to cope with additional demand caused by harmonic fluctuations and non-ideal conditions. When the harmonic fluctuation is large or the actual condition is harsh, the stabilizing coil needs more capacity to ensure normal operation and avoid equipment damage or performance degradation due to insufficient capacity. The purpose of introducing the safety factor is determined, and the direction of correcting the theoretical capacity is determined.

[0038] Step 142, according to actual experience and relevant standards, the value range of the safety factor is set to 1.5-2.0; the value range is based on the comprehensive consideration of harmonic fluctuations of different complexity and actual conditions. A smaller safety factor, such as 1.5, is suitable for conditions with relatively small harmonic fluctuations and actual conditions close to ideal conditions; while a larger safety factor, such as 2.0, is suitable for conditions with large harmonic fluctuations and harsh actual conditions.

[0039] Step 143, multiply the theoretical capacity by the safety factor to obtain the corrected capacity ; for example, when =1.5 when, =2.0 when, =2.0 when, .

[0040] In a preferred embodiment of the present application, the above step 15 can include: Step 151, according to historical data, determine that the high-frequency eddy current loss will increase the capacity by 20%-30%; Step 152, according to the capacity increase ratio caused by high-frequency eddy current loss, determine the compensation coefficient, the value range of the compensation coefficient is 1.2-1.3; Step 153, multiply the corrected capacity by the compensation coefficient to obtain the second corrected theoretical capacity.

[0041] In the embodiment of the present application, the use of historical data to determine the influence of high-frequency eddy current loss on capacity is based on a large number of actual operation cases, which can more accurately reflect the performance of high-frequency eddy current loss in actual situation, and avoid the deviation of pure theoretical calculation. The range of capacity increase caused by high-frequency eddy current loss is determined, which helps to plan the capacity of the stabilizing coil in advance during the design stage. Designers can adjust the design scheme reasonably according to this range to ensure that the stabilizing coil can withstand the impact of high-frequency eddy current loss in actual operation, and avoid problems caused by insufficient capacity. The compensation coefficient is determined and its value range is set to 1.2-1.3, which provides a clear quantitative standard for high-frequency eddy current loss compensation. Designers can choose the appropriate compensation coefficient within this range according to the specific situation, making the compensation operation more standardized and accurate, and avoiding the capacity deviation caused by improper compensation. Under different operating conditions, the degree of high-frequency eddy current loss may be different. By multiplying the corrected capacity by the compensation coefficient, the final theoretical capacity considering high-frequency eddy current loss can be more accurately calculated.

[0042] In a specific embodiment of the present application, the specific steps include: Step 151, high-frequency eddy current loss is an inevitable phenomenon in the actual operation of the stabilizing coil, which will cause the stabilizing coil to heat up. Under normal circumstances, according to historical data, due to the increase of temperature, the insulation performance and mechanical strength of the stabilizing coil will be affected, and this heating effect will make the actual capacity required by the stabilizing coil increase by 20%-30%.

[0043] Step 152, based on the influence that high-frequency eddy current loss will increase the capacity by 20%-30%, determine the compensation coefficient in the corrected capacity The thermal effect compensation is performed on the basis of the above, and the corrected capacity is multiplied by a compensation coefficient determined according to the capacity increase ratio caused by the high-frequency eddy current loss, which is generally between 1.2 and 1.3, for example, if a 20% capacity increase is considered, the compensation coefficient is 1.2; if a 30% capacity increase is considered, the compensation coefficient is 1.3.

[0044] Step 153, according to the determined thermal effect compensation method, the theoretically corrected capacity is calculated again , the calculation formula is = compensation coefficient × ; for example, when the compensation coefficient is 1.2, = 1.2 × , when the compensation coefficient is 1.3, = 1.3 × ; through calculation, the corrected theoretical capacity considering thermal effect compensation is obtained.

[0045] In a preferred embodiment of the present application, the above step 16 can include: Step 161, determine the contribution of multi-harmonic superposition to the capacity of the stabilizing coil, which is about 5%-10%; Step 162, set the coefficient of multi-harmonic superposition effect according to the contribution of multi-harmonic superposition to the capacity of the stabilizing coil, the value range of the coefficient is 1.05-1.1; Step 163, multiply the corrected capacity by the coefficient of multi-harmonic superposition effect to obtain the final capacity; Step 164, according to the final capacity, determine the final design value of the stabilizing coil as , to realize the capacity optimization of the harmonic weight factor, wherein is the final design capacity of the stabilizing coil, is the rated capacity of the transformer.

[0046] In the embodiment of the present application, the contribution range of multi-harmonic superposition to the capacity of the stabilizing coil is determined, which can accurately quantify the specific influence of this complex electromagnetic phenomenon on the capacity, helping designers to deeply understand the action mechanism of multi-harmonic superposition in the operation of the transformer, and helping to improve the accuracy of capacity design. By considering the influence of multi-harmonic superposition, the design result can be closer to the actual operation demand, and the problems of transformer failure and performance decline caused by capacity deviation can be reduced. Setting the coefficient of multi-harmonic superposition effect provides a standardized compensation method for dealing with the influence of multi-harmonic superposition on capacity. Designers can choose appropriate coefficients within this value range according to actual conditions to uniformly and normatively adjust the capacity, improving the consistency and comparability of the design. By multiplying the corrected capacity by the coefficient of multi-harmonic superposition effect, the final capacity considering the effect of multi-harmonic superposition can be more accurately calculated.

[0047] In a specific embodiment of the present application, the specific steps include: Step 161, according to the obtained consideration of thermal effect compensation after the revised theoretical capacity, this capacity only mainly considers the influence of 3rd harmonic and thermal effect, and ignores the contribution of 5th and 7th harmonics to the capacity of the stabilizing coil. In fact, 5th and 7th harmonics also have certain influence on the capacity of the stabilizing coil, and besides the 3rd harmonic, 5th and 7th harmonics also have certain contribution to the capacity of the stabilizing coil, which is about 5%-10%.

[0048] Step 162, based on the contribution of 5th and 7th harmonics to the capacity of the stabilizing coil being about 5%-10%, it is determined that the superposition correction of multiple harmonics is carried out on the basis of the revised theoretical capacity, and the revised capacity is multiplied by a coefficient considering the superposition influence of multiple harmonics, and the coefficient is between 1.05-1.1. For example, if 5% of the superposition influence of multiple harmonics is considered, the coefficient is 1.05; if 10% of the superposition influence of multiple harmonics is considered, the coefficient is 1.1.

[0049] Step 163, according to the determined superposition correction method of multiple harmonics, the final capacity is calculated, and the calculation formula is For example, when the superposition influence coefficient of multiple harmonics is 1.05, ; when the superposition influence coefficient of multiple harmonics is 1.1, . Through calculation, the final capacity considering the superposition influence of multiple harmonics is obtained.

[0050] Step 164, comprehensively considering the safety factor correction, thermal effect compensation correction and multiple harmonic superposition correction factors, the final design value of the stabilizing coil is recommended as The reason is that the safety factor correction considers the harmonic fluctuation and non-ideal working condition, the thermal effect compensation correction considers the heating influence caused by high-frequency eddy current loss, and the multiple harmonic superposition correction considers the contribution of 5th and 7th harmonics to the capacity. Through comprehensive consideration and correction of various actual factors, the capacity design of the stabilizing coil is more in line with the actual situation, which not only ensures the reliability of the design, but also emphasizes the importance of comprehensive consideration of multiple correction factors in capacity optimization, so as to realize the capacity optimization of harmonic weight factor.

[0051] As shown in Figure 2 , the embodiment of the present application also provides a capacity optimization system 20 based on harmonic weight factor, which comprises: An acquisition module 21 is configured to obtain the transformer harmonic characteristics by analyzing the harmonic components of the transformer harmonics and the relationship between the harmonics and the fundamental wave; An optimization module 22 is configured to construct a stabilizing coil capacity calculation optimization model according to the transformer harmonic characteristics, and obtain the theoretical capacity of the stabilizing coil of the harmonic characteristics according to the stabilizing coil capacity calculation optimization model. The correction module 23 is used for introducing a safety factor according to the theoretical capacity, correcting the theoretical capacity through the safety factor, performing thermal effect compensation on the corrected theoretical capacity to obtain a second corrected theoretical capacity, and calculating a final capacity through superposition of multiple harmonics on the second corrected theoretical capacity to determine a final design value of the stabilizing coil, so as to realize capacity optimization of the harmonic weight factor.

[0052] The above is the preferred embodiment of the present application, it should be noted that for those skilled in the art, without departing from the principles of the present application, can make a number of improvements and refinements, these improvements and refinements should also be considered as the protection scope of the present application.

Claims

1. A capacity optimization method based on harmonic weighting factors, characterized in that, The method includes: By analyzing the harmonic components of transformer harmonics and the relationship between harmonics and the fundamental frequency, the harmonic characteristics of transformers are obtained. Based on the harmonic characteristics of the transformer, an optimization model for calculating the stable coil capacity is constructed. Based on the optimized model for calculating the capacity of the stable coil, the theoretical capacity of the stable coil with harmonic characteristics is obtained. Based on the theoretical capacity, a safety factor is introduced, and the theoretical capacity is corrected using the safety factor. Thermal effect compensation is applied to the modified theoretical capacity to obtain a further modified theoretical capacity. By superimposing multiple harmonics on the revised theoretical capacity, the final capacity is calculated, and the final design value of the stabilizing coil is determined, thereby achieving capacity optimization of the harmonic weighting factor.

2. The capacity optimization method based on harmonic weighting factor according to claim 1, characterized in that, By analyzing the components of transformer harmonics and their relationship with the fundamental frequency, the harmonic characteristics of the transformer are obtained, including: Harmonics of a 110kV transformer using a YNyn0 connection group; Harmonic components are identified, and the third harmonic with zero-sequence characteristics is obtained to obtain the harmonic components in the transformer. Current monitoring was performed on transformers under different operating conditions to obtain the current and potential of the third harmonic and fundamental waves. By comparing the values ​​of the third harmonic current and the fundamental current, we obtain... ,in, It is the third harmonic current. It is the fundamental current; By comparing the values ​​of the third harmonic potential and the fundamental potential, we obtain... ,in, The third harmonic potential, This is the fundamental potential.

3. The capacity optimization method based on harmonic weighting factors according to claim 2, characterized in that, Based on the transformer harmonic characteristics, an optimization model for calculating the stable coil capacity is constructed, including: Based on the harmonic characteristics of the transformer, the modeling direction for calculating the stable coil capacity based on harmonic current and potential is determined; Based on the modeling direction and capacity calculation formula Build an optimization model for , It is the theoretical capacity. It is the third harmonic current. The third harmonic potential, It's capacity. I It is electric current. V It is electric potential.

4. The capacity optimization method based on harmonic weighting factor according to claim 3, characterized in that, Based on the optimized model for calculating the stable coil capacity, the theoretical capacity of the stable coil with harmonic characteristics is obtained, including: Based on harmonic relationships, obtain and ; Based on the optimization model, and and ,pass Calculate the theoretical capacity ratio to obtain the theoretical capacity of the stable coil with harmonic characteristics.

5. The capacity optimization method based on harmonic weighting factor according to claim 4, characterized in that, Based on the theoretical capacity, a safety factor is introduced, and the theoretical capacity is corrected using the safety factor, including: Introduce a safety factor; Based on the different levels of harmonic fluctuations and actual working conditions, the safety factor is set to a range of 1.5-2.

0. Multiply the theoretical capacity by the safety factor to correct the theoretical capacity, and you get the corrected capacity.

6. The capacity optimization method based on harmonic weighting factor according to claim 5, characterized in that, Thermal effect compensation is applied to the modified theoretical capacity to obtain a further modified theoretical capacity, including: Based on historical data, it is determined that high-frequency eddy current losses will increase the capacity by 20%-30%. The compensation coefficient is determined based on the increase in capacity caused by high-frequency eddy current loss, and the value of the compensation coefficient ranges from 1.2 to 1.

3. Multiply the corrected capacity by the compensation factor to obtain the theoretical capacity after further correction.

7. The capacity optimization method based on harmonic weighting factor according to claim 6, characterized in that, By superimposing multiple harmonics onto the revised theoretical capacity, the final capacity is calculated, and the final design value of the stabilizing coil is determined to achieve capacity optimization based on the harmonic weighting factor, including: The contribution of multiple harmonic superposition to the capacitance of the stabilizing coil was determined to be 5%-10%. Based on the contribution of multiple harmonic superposition to the capacity of the stabilizing coil, a coefficient for the influence of multiple harmonic superposition is set, with the coefficient ranging from 1.05 to 1.

1. The final capacity is obtained by multiplying the revised capacity by the coefficient of the multi-harmonic superposition effect. Based on the final capacity, determine the final design value of the stabilizing coil. To achieve capacity optimization of the harmonic weighting factor, wherein, This is the final design capacity of the stabilizing coil. This is the rated capacity of the transformer.

8. A capacity optimization system based on harmonic weighting factors, wherein the system implements the method as described in any one of claims 1 to 7, characterized in that, include: The acquisition module is used to obtain the harmonic characteristics of the transformer by analyzing the harmonic components of the transformer harmonics and the relationship between the harmonics and the fundamental wave; The optimization module is used to construct an optimized model for calculating the stable coil capacity based on the transformer's harmonic characteristics. Based on the optimized model for calculating the capacity of the stable coil, the theoretical capacity of the stable coil with harmonic characteristics is obtained. The correction module is used to introduce a safety factor based on the theoretical capacity, and to correct the theoretical capacity using the safety factor. Thermal effect compensation is applied to the modified theoretical capacity to obtain a further modified theoretical capacity. By superimposing multiple harmonics on the revised theoretical capacity, the final capacity is calculated, and the final design value of the stabilizing coil is determined, thereby achieving capacity optimization of the harmonic weighting factor.

9. A computing device, characterized in that, include: One or more processors; A storage device for storing one or more programs, which, when executed by one or more processors, cause the one or more processors to implement the method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a program that, when executed by a processor, implements the method as described in any one of claims 1 to 7.

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