Phase modifier state evaluation method and system based on improved dynamic index weight

Abstract

The invention discloses a phase modifier state evaluation method and system based on improved dynamic index weight. The method comprises the following steps: constructing a phase modifier operation state evaluation index system; the index system comprises a steady-state quantity evaluation index and a dynamic quantity evaluation index; calculating the fixed weight of each index based on an analytic hierarchy process; calculating the dynamic weight of each index based on a partial derivative variable coefficient method; calculating a comprehensive weight vector of each index in combination with the fixed weight and the dynamic weight; performing normalization calculation on each index based on the standard limit value of the running state of the phase modifier to obtain a normalized value; calculating the membership degree of each index based on the normalized value of each index in combination with the actual working condition; and based on the comprehensive weight vector and the membership degree, calculating an evaluation result of the running state of the phase modifier by using a fuzzy comprehensive evaluation method. The method has the advantages of high evaluation precision and the like.

Description

Technical Field

[0001] This invention mainly relates to the field of power equipment testing technology, specifically to a method and system for evaluating the status of synchronous condensers based on improved dynamic index weights. Background Technology

[0002] Dual-water-cooled synchronous condensers are a key type of reactive power compensation device in power systems, playing a crucial role in improving grid voltage quality, enhancing system stability, and strengthening transmission capacity. Currently, they are widely used in ultra-high-voltage direct current transmission systems and large-scale renewable energy power plant grid connections. Given the relatively intricate internal structure of this equipment, it is susceptible to typical faults such as stator water circuit blockage, rotor winding overheating, and excessive bearing vibration during actual operation due to the combined influence of multiple factors including the main system, lubrication system, and cooling system. Failure to identify and address these faults in a timely manner can not only damage the equipment itself but also potentially trigger grid operation accidents.

[0003] Currently, monitoring the operational status of such synchronous condensers mainly relies on traditional periodic inspections and offline testing. This approach has several shortcomings, including untimely data updates, limited parameter types, and a high degree of subjectivity in the evaluation process. For example, existing technologies typically rely on manual measurement of key parameters such as stator temperature and water pressure, making it difficult to achieve real-time, comprehensive monitoring of the entire equipment's operation. In the operational status evaluation phase, qualitative judgments often depend on expert experience, lacking a quantitative evaluation index system and scientific analysis methods. This results in inaccurate evaluation conclusions and difficulty in effectively warning of potential faults. Furthermore, once equipment malfunctions, existing methods struggle to promptly pinpoint the cause and generate targeted maintenance decisions, leading to prolonged fault handling cycles and increased operation and maintenance costs.

[0004] Therefore, there is an urgent need to develop a novel method and system capable of real-time and comprehensive acquisition of operating parameters for dual water-cooled synchronous condensers. This would enable a scientific and accurate assessment of their operational status and the rapid generation of effective maintenance plans in the event of equipment malfunctions. By addressing the monitoring blind spots and evaluation deficiencies in existing technologies, this approach promises to provide a reliable guarantee for the long-term safe and stable operation of dual water-cooled synchronous condensers. Summary of the Invention

[0005] To address the technical problems existing in the prior art, this invention provides a method and system for evaluating the state of a synchronous condenser based on improved dynamic index weights, which has high evaluation accuracy.

[0006] To solve the above-mentioned technical problems, the technical solution proposed by this invention is as follows: A method for evaluating the state of a synchronous condenser based on improved dynamic index weights includes the following steps: A synchronous condenser operation status evaluation index system is constructed; the index system includes steady-state quantity evaluation indexes and dynamic quantity evaluation indexes. The fixed weights of each indicator are calculated based on the analytic hierarchy process (AHP). The dynamic weights of each index are calculated based on the partial derivative coefficient of variation method. By combining fixed weights and dynamic weights, the comprehensive weight vector of each indicator is calculated; Based on the standard limits of the synchronous condenser's operating status, each indicator is normalized to obtain a normalized value. Based on the normalized values ​​of each indicator, the membership degree of each indicator is calculated in combination with the actual working conditions. Based on the comprehensive weight vector and membership degree, the fuzzy comprehensive evaluation method is used to calculate the evaluation results of the synchronous condenser's operating status.

[0007] Preferably, the steady-state evaluation indicators include main system indicators, cooling system indicators, and lubrication system indicators; The dynamic evaluation indicators include electrical parameters, mechanical parameters, and thermal parameters; the electrical parameters include excitation voltage stability, stator current, and reactive power output.

[0008] Preferably, the main system parameters include bearing temperature, bearing housing amplitude, stator winding temperature, bearing amplitude, and excitation current; the cooling system parameters include external cooling water temperature change rate, circulating water return temperature, inlet and outlet water pressure difference, outlet water temperature, inlet water flow rate, and filter pressure difference; the lubrication system parameters include lubricating oil kinematic viscosity, moisture content, acidity, oil supply port temperature, oil supply port pressure, and oil tank temperature. The mechanical parameters include the bearing amplitude change rate, the spindle speed change rate, and the bearing housing amplitude change rate; the thermal parameters include the stator winding temperature change rate, the cooling medium temperature difference change rate, and the bearing shell temperature gradient.

[0009] Preferably, the specific process for calculating the dynamic weights of each index based on the partial derivative coefficient of variation method is as follows: Calculate the variation of the partial derivative of each index with respect to the reactive power generated by the synchronous condenser per unit time. Sum the variances of the partial derivatives with respect to all indicators; Based on the summation of partial derivative variability, the coefficient of variation of each index is calculated and normalized to obtain the dynamic weight vector.

[0010] Preferably, the normalization calculation is divided into upper limit type indicators and interval type indicators according to the indicator type and processed separately; For upper limit indicators, the normalized value of the indicator for:

[0011] in These are the original measured values. The standard limit for the indicator; For interval indicators, the normalized value of the indicator for:

[0012] in Upper and lower limits of the indicator , The average value; .

[0013] Preferably, the membership calculation specifically includes: For upper limit type indicators, a piecewise function is used to calculate the membership degree, where below 80% of the rated operating condition is considered a normal state, and above 120% is considered an abnormal state. For interval-type indicators, triangular or trapezoidal membership functions are used to calculate membership degree. The optimal state is at the midpoint between the upper and lower limits, and the membership degree decreases as it deviates from the midpoint.

[0014] Preferably, the specific steps of the fuzzy comprehensive evaluation method include: The comprehensive weight vector and membership degree are subjected to fuzzy operation to obtain the first-level fuzzy evaluation result; Based on the results of the first-level fuzzy evaluation and combined with the evaluation level standards, a quantitative evaluation result of the synchronous condenser's operating status is output.

[0015] The present invention also discloses a computer program product, comprising a computer program that, when executed by a processor, performs the steps of the method described above.

[0016] The present invention further discloses a computer-readable storage medium having a computer program stored thereon, the computer program executing the steps of the method described above when run by a processor.

[0017] The present invention also discloses a computer system including a memory and a processor interconnected thereon, wherein the memory stores a computer program that, when run by the processor, performs the steps of the method described above.

[0018] This invention further discloses a synchronous condenser state evaluation system based on improved dynamic index weights, comprising: The indicator system construction module is used to construct an indicator system for evaluating the operating status of synchronous condensers; the indicator system includes steady-state quantity evaluation indicators and dynamic quantity evaluation indicators; The fixed weight calculation module is used to calculate the fixed weights of each indicator based on the analytic hierarchy process. The dynamic weight calculation module is used to calculate the dynamic weights of each indicator based on the partial derivative coefficient of variation method. The comprehensive weight calculation module is used to combine fixed weights and dynamic weights to calculate the comprehensive weight vector of each indicator. The normalization calculation module is used to normalize each indicator based on the standard limit value of the synchronous condenser's operating status and obtain the normalized value. The membership calculation module is used to calculate the membership degree of each indicator based on the normalized value of each indicator and the actual working conditions. The fuzzy comprehensive evaluation module is used to calculate the evaluation results of the synchronous condenser's operating status based on the comprehensive weight vector and membership degree using the fuzzy comprehensive evaluation method.

[0019] Preferably, the steady-state quantity evaluation indicators in the indicator system construction module include main system indicators, cooling system indicators, and lubrication system indicators; The dynamic evaluation indicators include electrical parameters, mechanical parameters, and thermal parameters; the electrical parameters include excitation voltage stability, stator current, and reactive power output.

[0020] Preferably, the main system parameters include bearing temperature, bearing housing amplitude, stator winding temperature, bearing amplitude, and excitation current; the cooling system parameters include external cooling water temperature change rate, circulating water return temperature, inlet and outlet water pressure difference, outlet water temperature, inlet water flow rate, and filter pressure difference; the lubrication system parameters include lubricating oil kinematic viscosity, acidity, oil supply port temperature, oil supply port pressure, and oil tank temperature. The mechanical parameters include the bearing amplitude change rate, the spindle speed change rate, and the bearing housing amplitude change rate; the thermal parameters include the stator winding temperature change rate, the cooling medium temperature difference change rate, and the bearing shell temperature gradient.

[0021] Preferably, in the dynamic weight calculation module, the specific process of calculating the dynamic weights of each index based on the partial derivative coefficient of variation method is as follows: Calculate the variation of the partial derivative of each index with respect to the reactive power generated by the synchronous condenser per unit time. Sum the variances of the partial derivatives with respect to all indicators; Based on the summation of partial derivative variability, the coefficient of variation of each index is calculated and normalized to obtain the dynamic weight vector.

[0022] Preferably, in the normalization calculation module, the normalization calculation is divided into upper limit type indicators and interval type indicators according to the indicator type and processed separately; For upper limit indicators, the normalized value of the indicator for:

[0023] in These are the original measured values. The standard limit for the indicator; For interval indicators, the normalized value of the indicator for:

[0024] in Upper and lower limits of the indicator , The average value; .

[0025] Preferably, in the membership calculation module, the membership calculation specifically includes: For upper limit type indicators, a piecewise function is used to calculate the membership degree, where below 80% of the rated operating condition is considered a normal state, and above 120% is considered an abnormal state. For interval-type indicators, triangular or trapezoidal membership functions are used to calculate membership degree. The optimal state is at the midpoint between the upper and lower limits, and the membership degree decreases as it deviates from the midpoint.

[0026] Preferably, in the fuzzy comprehensive evaluation module, the specific steps of the fuzzy comprehensive evaluation method include: The comprehensive weight vector and membership degree are subjected to fuzzy operation to obtain the first-level fuzzy evaluation result; Based on the results of the first-level fuzzy evaluation and combined with the evaluation level standards, a quantitative evaluation result of the synchronous condenser's operating status is output.

[0027] Compared with the prior art, the advantages of the present invention are as follows: This invention analyzes the key indicators required for evaluating the status of synchronous condensers and ranks them according to the significance of their impact on the operating status, thereby constructing a complete system for evaluating the status of synchronous condensers. When determining the weights of the indicators, instead of using the traditional fixed initial evaluation matrix, a dynamic weight calculation method based on the coefficient of variation of partial derivatives is introduced. This weight further incorporates the time-series information of the rate of change of the indicators, thus more sensitively reflecting the dynamic characteristics of the status parameters.

[0028] This invention constructs dynamic weights by "initial weights that integrate subjective and objective factors + dynamic adjustment based on the coefficient of variation of partial derivatives". The core logic is as follows: first, the "basic importance" (initial weight) of the indicators is determined based on expert experience and historical data; then, the weight of each evaluation indicator is determined by analyzing the partial derivative of the indicator data with respect to the unit power output of the camera (i.e., the "coefficient of variation of partial derivatives"); and finally, the indicators are normalized and the membership is calculated considering the actual working conditions.

[0029] This invention represents a leap from a fixed evaluation model to a dynamic approach that considers actual operating conditions and enables precise decision-making, significantly improving evaluation accuracy and drastically reducing the misjudgment rate. Traditional static weighting methods, such as AHP or entropy weighting, fail to accurately reflect the dynamic fluctuations in equipment operating status when the importance of indicators remains constant, leading to evaluation distortion under abnormal operating conditions. This invention introduces a dynamic adjustment mechanism using the "partial derivative variation coefficient," automatically amplifying the weight of abnormal indicators as they deviate from the normal range, thus highlighting key abnormal information in status assessment. Furthermore, this invention incorporates membership calculation based on actual operating conditions, offering good interpretability and low computational complexity. The algorithm is highly practical for engineering applications and is easy to deploy and promote. Attached Figure Description

[0030] Figure 1 This is a system structure diagram of the evaluation index system for the operating status of the dual water-cooled camera of the present invention.

[0031] Figure 2 This is the steady-state state evaluation diagram of the present invention.

[0032] Figure 3 This is the dynamic quantity state evaluation diagram of the present invention.

[0033] Figure 4 This is a flowchart of an embodiment of the camera adjustment state evaluation method of the present invention.

[0034] Figure 5 This is a schematic diagram illustrating the membership degree calculation principle of the upper limit type index of the present invention.

[0035] Figure 6 This is a schematic diagram illustrating the membership degree calculation principle of the interval-type index of this invention. Detailed Implementation

[0036] The present invention will be further described below with reference to the accompanying drawings and specific embodiments.

[0037] like Figure 4 As shown, the synchronous condenser state evaluation method based on improved dynamic index weights provided in this embodiment of the invention includes the following steps: S1. Construct an evaluation index system for the operating status of synchronous condensers; the index system includes steady-state evaluation indexes and dynamic evaluation indexes; Given the complex interrelationships among the internal equipment of a synchronous condenser, traditional evaluation index systems primarily consider static indicators, while dynamic operating parameters also play a crucial role. Therefore, this invention constructs a two-tiered evaluation index system that includes steady-state and dynamic evaluation indicators, such as... Figure 1 As shown; like Figure 2As shown, the steady-state evaluation indicators are mainly the traditional indicators of the synchronous condenser, including main system indicators, cooling system indicators, and lubrication system indicators. The main system indicators mainly include: bearing temperature, bearing housing amplitude, stator winding temperature, bearing amplitude, and excitation current; the cooling system indicators mainly include: external cooling water temperature change rate, circulating water return temperature, inlet and outlet water pressure difference, outlet water temperature, inlet water flow rate, and filter pressure difference; the lubrication system indicators mainly include lubricating oil kinematic viscosity, moisture content, acidity, oil supply port temperature, oil supply port pressure, and oil tank temperature. like Figure 3 As shown, the dynamic evaluation indicators mainly include electrical, mechanical, and thermal parameters; electrical parameters mainly include: excitation voltage stability, stator current, and reactive power output; mechanical parameters mainly include: bearing amplitude variation rate, spindle speed variation rate, and bearing housing amplitude variation rate; thermal parameters mainly include: stator winding temperature variation rate, cooling medium temperature difference variation rate, and bearing shell temperature gradient; as detailed in Tables 1-3: Table 1 Mechanical Parameters

[0038] Table 2 Electrical Parameters

[0039] Table 3 Thermal parameters

[0040] S2. Calculate the fixed weights of each indicator based on the analytic hierarchy process (AHP); After constructing the evaluation index system for the operating status of synchronous condensers, the hierarchical relationships between adjacent levels will also be clarified. Based on this, quantitative scoring is used to compare and evaluate the importance of each pair of indicators at each level, thereby constructing a judgment matrix for each level. For multiple indicators, pairwise comparisons of indicator importance are performed to construct a fuzzy complementary judgment matrix, and fixed weights are determined using the analytic hierarchy process (AHP). ; S3. Calculate the dynamic weights of each index based on the partial derivative coefficient of variation method. The partial derivative coefficient of variation method is an objective weighting method. Its core principle is that when the reactive power output of a synchronous condenser is constant per unit time, the change in an indicator is constant. A large change indicates high sensitivity of that indicator. The weight of each evaluation indicator is determined by analyzing the partial derivative of the indicator data with respect to the unit power output of the synchronous condenser (i.e., the "partial derivative coefficient of variation"). This eliminates the need for subjective judgment (such as expert scoring), thus providing strong objectivity and data-driven results. The specific steps are as follows: First, collect sample data that meets certain periodicity and comparability requirements, such as a specific time point or period each week or month. Second, preprocess the data. Different indicators may have different "dimensions (units)" and "evaluation directions," requiring normalization. The calculation process for the dynamic weight indicators is as follows: S301. Calculate each indicator The variation of the partial derivative of the reactive power output of the camera per unit time p i :

[0041] in, The reactive power generated by the camera per unit time; S302. Summing the partial derivative variability of all indicators yields the summation result. :

[0042] in, n The number of indicators.

[0043] S303. Summation results based on partial derivative variability Calculate the partial derivative coefficient of variation for each index. The dynamic weight vector is obtained by normalization. ;in The larger the value, the greater the dynamic weight of the indicator, and the more sensitive it is to changes in operating status. Therefore, it should be assigned a higher weight. This weight directly reflects the contribution of each indicator to the "synchronous condenser operating status evaluation".

[0044] Where the partial derivative coefficient of variation The calculation formula is:

[0045] S4. Combine the fixed weights obtained in step S2 and the dynamic weights obtained in step S3 Calculate the comprehensive weight vector of each indicator. Specifically:

[0046] The combined weights of each evaluation indicator constitute a weight matrix. W , W= [ w z1 ,w z2 ... w zn ].

[0047] S5. Based on the standard limits of the synchronous condenser's operating status, normalize the indicators in step S1 to obtain normalized values; Specifically, based on the summary and organization of the standard limits given in the relevant specification documents of the synchronous condenser, these are used as the standard limit basis for the operation status of each component of the synchronous condenser unit in this invention; the procedures or technical specifications referenced by the converter station monitoring system when setting the thresholds for monitoring quantities such as vibration, temperature, pressure and oil quality can be found in relevant books.

[0048] The normalization calculation is divided into upper limit type indicators and interval type indicators, and they are processed separately according to the indicator type. For upper limit indicators, the normalized value of the indicator for:

[0049] Where x is the original measurement value. The standard limit for the indicator; For interval indicators, the normalized value of the indicator for:

[0050] in Upper and lower limits of the indicator , The average value; ; S6. Based on the normalized values ​​obtained in step S5, calculate the membership degree of each indicator in combination with the actual working conditions; the membership degree calculation is divided into upper limit type indicators and interval type indicators according to the indicator type and is handled separately. like Figure 5 As shown, for upper limit type indicators, a piecewise function is used to calculate the membership degree. Generally, operation below 80% of the rated operating condition is considered normal; the higher the value, the worse the condition. It generally should not exceed 120%; exceeding this is considered abnormal. Its membership degree... The calculation formula is as follows:

[0051] like Figure 6As shown, for interval-type indicators, triangular or trapezoidal membership functions are used to calculate membership degrees. It is generally considered that the optimal state is at the midpoint between the upper and lower limits; the further away from the midpoint, the worse the performance, until the upper and lower limits are reached, at which point the membership degree... The calculation formula is as follows:

[0052] S7. Based on the comprehensive weight vector obtained in step S4 and the membership degree obtained in step S6, the evaluation result of the synchronous condenser's operating status is calculated using the fuzzy comprehensive evaluation method.

[0053] Specifically, the comprehensive weight vector obtained in step S4 W The membership matrix obtained in step S6 R Perform fuzzy computation to obtain the first-level fuzzy evaluation results of the evaluation indicators. ,Right now: ; Based on the results of the first-level fuzzy evaluation and combined with the evaluation level standards, a quantitative evaluation result of the synchronous condenser's operating status is output.

[0054] This invention analyzes the key indicators required for evaluating the status of synchronous condensers and ranks them according to the significance of their impact on the operating status, thereby constructing a complete system for evaluating the status of synchronous condensers. When determining the weights of the indicators, instead of using the traditional fixed initial evaluation matrix, a dynamic weight calculation method based on the coefficient of variation of partial derivatives is introduced. This weight further incorporates the time-series information of the rate of change of the indicators, thus more sensitively reflecting the dynamic characteristics of the status parameters.

[0055] This invention constructs dynamic weights by "initial weights that integrate subjective and objective factors + dynamic adjustment based on the coefficient of variation of partial derivatives". The core logic is as follows: first, the "basic importance" (initial weight) of the indicators is determined based on expert experience and historical data; then, the weight of each evaluation indicator is determined by analyzing the partial derivative of the indicator data with respect to the unit power output of the camera (i.e., the "coefficient of variation of partial derivatives"); and finally, the indicators are normalized and the membership is calculated considering the actual working conditions.

[0056] This invention represents a leap from a fixed evaluation model to a dynamic approach that considers actual operating conditions and enables precise decision-making, significantly improving evaluation accuracy and drastically reducing the misjudgment rate. Traditional static weighting methods, such as AHP or entropy weighting, fail to accurately reflect the dynamic fluctuations in equipment operating status when the importance of indicators remains constant, leading to evaluation distortion under abnormal operating conditions. This invention introduces a dynamic adjustment mechanism using the "partial derivative variation coefficient," automatically amplifying the weight of abnormal indicators as they deviate from the normal range, thus highlighting key abnormal information in status assessment. Furthermore, this invention incorporates membership calculation based on actual operating conditions, offering good interpretability and low computational complexity. The algorithm is highly practical for engineering applications and is easy to deploy and promote.

[0057] This invention further discloses a synchronous condenser state evaluation system based on improved dynamic index weights, comprising: The indicator system construction module is used to construct an indicator system for evaluating the operating status of synchronous condensers; the indicator system includes steady-state quantity evaluation indicators and dynamic quantity evaluation indicators; The fixed weight calculation module is used to calculate the fixed weights of each indicator based on the analytic hierarchy process. The dynamic weight calculation module is used to calculate the dynamic weights of each indicator based on the partial derivative coefficient of variation method. The comprehensive weight calculation module is used to combine fixed weights and dynamic weights to calculate the comprehensive weight vector of each indicator. The normalization calculation module is used to normalize each indicator based on the standard limit value of the synchronous condenser's operating status and obtain the normalized value. The membership calculation module is used to calculate the membership degree of each indicator based on the normalized value of each indicator and the actual working conditions. The fuzzy comprehensive evaluation module is used to calculate the evaluation results of the synchronous condenser's operating status based on the comprehensive weight vector and membership degree using the fuzzy comprehensive evaluation method.

[0058] Specifically, the steady-state evaluation indicators in the indicator system construction module include main system indicators, cooling system indicators, and lubrication system indicators; dynamic evaluation indicators include electrical parameters, mechanical parameters, and thermal parameters; electrical parameters include excitation voltage stability, stator current, and reactive power output. Main system indicators include bearing temperature, bearing housing amplitude, stator winding temperature, bearing amplitude, and excitation current; cooling system indicators include external cooling water temperature change rate, circulating water return temperature, inlet and outlet water pressure difference, outlet water temperature, inlet water flow rate, and filter pressure difference; lubrication system indicators include lubricating oil kinematic viscosity, moisture content, acidity, oil inlet temperature, oil inlet pressure, and oil tank temperature; mechanical parameters include bearing amplitude change rate, spindle speed change rate, and bearing housing amplitude change rate; thermal parameters include stator winding temperature change rate, cooling medium temperature difference change rate, and bearing temperature gradient.

[0059] Specifically, in the dynamic weight calculation module, the process of calculating the dynamic weights of each indicator based on the partial derivative coefficient of variation method is as follows: Calculate the variation of the partial derivative of each index with respect to the reactive power generated by the synchronous condenser per unit time. Sum the variances of the partial derivatives with respect to all indicators; Based on the summation of partial derivative variability, the coefficient of variation of each index is calculated and normalized to obtain the dynamic weight vector.

[0060] Specifically, in the normalization calculation module, the normalization calculation is divided into upper limit type indicators and interval type indicators according to the indicator type and processed separately; For upper limit indicators, the normalized value of the indicator for:

[0061] in These are the original measured values. The standard limit for the indicator; For interval indicators, the normalized value of the indicator for:

[0062] in Upper and lower limits of the indicator , The average value; .

[0063] Specifically, in the membership calculation module, membership calculation includes: For upper limit type indicators, a piecewise function is used to calculate the membership degree, where below 80% of the rated operating condition is considered a normal state, and above 120% is considered an abnormal state. For interval-type indicators, triangular or trapezoidal membership functions are used to calculate membership degree. The optimal state is at the midpoint between the upper and lower limits, and the membership degree decreases as it deviates from the midpoint.

[0064] Specifically, in the fuzzy comprehensive evaluation module, the specific steps of the fuzzy comprehensive evaluation method include: The comprehensive weight vector and membership degree are subjected to fuzzy operation to obtain the first-level fuzzy evaluation result; Based on the results of the first-level fuzzy evaluation and combined with the evaluation level standards, a quantitative evaluation result of the synchronous condenser's operating status is output.

[0065] As a core device for reactive power support in the power grid, the operational status evaluation of synchronous condensers needs to accurately reflect the dynamic changes in four core dimensions: electrical performance, mechanical health, thermal safety, and environmental adaptability. Traditional static weighting methods cannot meet the requirement that "the importance of indicators changes dynamically with the operational status." This invention overcomes the shortcomings of existing technologies, such as fixed weights in synchronous condenser operational status evaluation, inability to adapt to dynamic adjustments, and a disconnect between decision-making and weights. It achieves accurate evaluation and efficient decision-making through a real-time deviation-adjusted weighting model.

[0066] The present invention also discloses a computer program product, comprising a computer program that, when executed by a processor, performs the steps of the method described above.

[0067] The present invention further discloses a computer-readable storage medium having a computer program stored thereon, the computer program executing the steps of the method described above when run by a processor.

[0068] The present invention also discloses a computer system including a memory and a processor interconnected thereon, wherein the memory stores a computer program that, when run by the processor, performs the steps of the method described above.

[0069] The products, media, and systems of the present invention, corresponding to the methods described above, also possess the advantages described above.

[0070] The present invention can implement all or part of the processes in the methods of the above embodiments, or it can be implemented by hardware related to computer program instructions. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by a processor, it can implement the steps of the above method embodiments. The computer program includes computer program code, which can be in the form of source code, object code, executable file, or some intermediate form. The computer-readable storage medium includes: any entity or device capable of carrying computer program code, recording media, USB flash drive, portable hard drive, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc. The memory is used to store computer programs and / or modules. The processor implements various functions by running or executing the computer programs and / or modules stored in the memory, and by calling data stored in the memory. The memory may include high-speed random access memory, as well as non-volatile memory, such as hard disks, RAM, plug-in hard disks, smart media cards (SMC), secure digital (SD) cards, flash cards, at least one disk storage device, flash memory device, or other volatile solid-state storage devices.

[0071] The above are merely preferred embodiments of the present invention. The scope of protection of the present invention is not limited to the above embodiments. All technical solutions falling within the scope of the present invention's concept are within the scope of protection of the present invention. It should be noted that for those skilled in the art, any improvements and modifications made without departing from the principles of the present invention should be considered within the scope of protection of the present invention.

Claims

1. A method for evaluating the state of a synchronous condenser based on improved dynamic index weights, characterized in that, Including the following steps: A synchronous condenser operation status evaluation index system is constructed; the index system includes steady-state quantity evaluation indexes and dynamic quantity evaluation indexes. The fixed weights of each indicator are calculated based on the analytic hierarchy process (AHP). The dynamic weights of each index are calculated based on the partial derivative coefficient of variation method. By combining fixed weights and dynamic weights, the comprehensive weight vector of each indicator is calculated; Based on the standard limits of the synchronous condenser's operating status, each indicator is normalized to obtain a normalized value. Based on the normalized values ​​of each indicator, the membership degree of each indicator is calculated in combination with the actual working conditions. Based on the comprehensive weight vector and membership degree, the fuzzy comprehensive evaluation method is used to calculate the evaluation results of the synchronous condenser's operating status.

2. The method for evaluating the state of a synchronous condenser based on improved dynamic index weights according to claim 1, characterized in that, The steady-state evaluation indicators include main system indicators, cooling system indicators, and lubrication system indicators; The dynamic evaluation indicators include electrical parameters, mechanical parameters, and thermal parameters; the electrical parameters include stator winding excitation voltage stability, stator current, and reactive power output.

3. The method for evaluating the state of a synchronous condenser based on improved dynamic index weights according to claim 2, characterized in that, The main system parameters include bearing temperature, bearing housing amplitude, stator winding temperature, bearing amplitude, and excitation current; the cooling system parameters include external cooling water temperature change rate, circulating water return temperature, inlet and outlet water pressure difference, outlet water temperature, inlet water flow rate, and filter pressure difference; the lubrication system parameters include lubricating oil kinematic viscosity, moisture content, acidity, oil inlet temperature, oil inlet pressure, and oil tank temperature. The mechanical parameters include the bearing amplitude change rate, the spindle speed change rate, and the bearing housing amplitude change rate; the thermal parameters include the stator winding temperature change rate, the cooling medium temperature difference change rate, and the bearing shell temperature gradient.

4. The method for evaluating the state of a synchronous condenser based on improved dynamic index weights according to claim 1, 2, or 3, characterized in that, The specific process for calculating the dynamic weights of each index based on the partial derivative coefficient of variation method is as follows: Calculate the variation of the partial derivative of each index with respect to the reactive power generated by the synchronous condenser per unit time. Sum the variances of the partial derivatives with respect to all indicators; Based on the summation of partial derivative variability, the coefficient of variation of each index is calculated and normalized to obtain the dynamic weight vector.

5. The method for evaluating the state of a synchronous condenser based on improved dynamic index weights according to claim 1, 2, or 3, characterized in that, The normalization calculation is divided into upper limit type indicators and interval type indicators, and processed separately according to the indicator type. For upper limit indicators, the normalized value of the indicator for: in These are the original measured values. The standard limit for the indicator; For interval indicators, the normalized value of the indicator for: in Upper and lower limits of the indicator , The average value; .

6. The method for evaluating the state of a synchronous condenser based on improved dynamic index weights according to claim 5, characterized in that, The membership degree calculation specifically includes: For upper limit type indicators, a piecewise function is used to calculate the membership degree, where below 80% of the rated operating condition is considered a normal state, and above 120% is considered an abnormal state. For interval-type indicators, triangular or trapezoidal membership functions are used to calculate membership degree. The optimal state is at the midpoint between the upper and lower limits, and the membership degree decreases as it deviates from the midpoint.

7. The method for evaluating the state of a synchronous condenser based on improved dynamic index weights according to claim 1, 2, or 3, characterized in that, The specific steps of the fuzzy comprehensive evaluation method include: The comprehensive weight vector and membership degree are subjected to fuzzy operation to obtain the first-level fuzzy evaluation result; Based on the results of the first-level fuzzy evaluation and combined with the evaluation level standards, a quantitative evaluation result of the synchronous condenser's operating status is output.

8. A computer program product, comprising a computer program, characterized in that, The computer program is executed by the processor to perform the steps of the method as described in any one of claims 1-7.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, The computer program, when run by a processor, performs the steps of the method as described in any one of claims 1-7.

10. A computer system comprising a memory and a processor interconnected thereon, the memory storing a computer program, characterized in that, The computer program, when run by a processor, performs the steps of the method as described in any one of claims 1-7.

11. A synchronous condenser state evaluation system based on improved dynamic index weights, characterized in that, include: The indicator system construction module is used to construct an indicator system for evaluating the operating status of synchronous condensers; the indicator system includes steady-state quantity evaluation indicators and dynamic quantity evaluation indicators; The fixed weight calculation module is used to calculate the fixed weights of each indicator based on the analytic hierarchy process. The dynamic weight calculation module is used to calculate the dynamic weights of each indicator based on the partial derivative coefficient of variation method. The comprehensive weight calculation module is used to combine fixed weights and dynamic weights to calculate the comprehensive weight vector of each indicator. The normalization calculation module is used to normalize each indicator based on the standard limit value of the synchronous condenser's operating status and obtain the normalized value. The membership calculation module is used to calculate the membership degree of each indicator based on the normalized value of each indicator and the actual working conditions. The fuzzy comprehensive evaluation module is used to calculate the evaluation results of the synchronous condenser's operating status based on the comprehensive weight vector and membership degree using the fuzzy comprehensive evaluation method.

12. The synchronous condenser state evaluation system based on improved dynamic index weights according to claim 11, characterized in that, The steady-state quantity evaluation indicators in the indicator system construction module include main system indicators, cooling system indicators, and lubrication system indicators. The dynamic evaluation indicators include electrical parameters, mechanical parameters, and thermal parameters with varying rates of change; the electrical parameters include excitation voltage stability, stator current, and reactive power output.

13. The synchronous condenser state evaluation system based on improved dynamic index weights according to claim 12, characterized in that, The main system parameters include bearing temperature, bearing housing amplitude, stator winding temperature, bearing amplitude, and excitation current; the cooling system parameters include external cooling water temperature change rate, circulating water return temperature, inlet and outlet water pressure difference, outlet water temperature, inlet water flow rate, and filter pressure difference; the lubrication system parameters include lubricating oil kinematic viscosity, moisture content, acidity, oil inlet temperature, oil inlet pressure, and oil tank temperature. The mechanical parameters include the bearing amplitude change rate, the spindle speed change rate, and the bearing housing amplitude change rate; the thermal parameters include the stator winding temperature change rate, the cooling medium temperature difference change rate, and the bearing shell temperature gradient.

14. The synchronous condenser state evaluation system based on improved dynamic index weights according to claim 11, 12, or 13, characterized in that, In the dynamic weight calculation module, the specific process of calculating the dynamic weights of each index based on the partial derivative coefficient of variation method is as follows: Calculate the variation of the partial derivative of each index with respect to the reactive power generated by the synchronous condenser per unit time. Sum the variances of the partial derivatives with respect to all indicators; Based on the summation of partial derivative variability, the coefficient of variation of each index is calculated and normalized to obtain the dynamic weight vector.

15. The synchronous condenser state evaluation system based on improved dynamic index weights according to claim 11, 12, or 13, characterized in that, In the normalization calculation module, the normalization calculation is divided into upper limit type indicators and interval type indicators according to the indicator type and processed separately; For upper limit indicators, the normalized value of the indicator for: in These are the original measured values. The standard limit for the indicator; For interval indicators, the normalized value of the indicator for: in Upper and lower limits of the indicator , The average value; .

16. The synchronous condenser state evaluation system based on improved dynamic index weights according to claim 15, characterized in that, The membership degree calculation module specifically includes: For upper limit type indicators, a piecewise function is used to calculate the membership degree, where below 80% of the rated operating condition is considered a normal state, and above 120% is considered an abnormal state. For interval-type indicators, triangular or trapezoidal membership functions are used to calculate membership degree. The optimal state is at the midpoint between the upper and lower limits, and the membership degree decreases as it deviates from the midpoint.

17. The synchronous condenser state evaluation system based on improved dynamic index weights according to claim 11, 12, or 13, characterized in that, The specific steps of the fuzzy comprehensive evaluation method in the fuzzy comprehensive evaluation module include: The comprehensive weight vector and membership degree are subjected to fuzzy operation to obtain the first-level fuzzy evaluation result; Based on the results of the first-level fuzzy evaluation and combined with the evaluation level standards, a quantitative evaluation result of the synchronous condenser's operating status is output.

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