Multidimensional Data Analysis Method for a Capacitor Compensation Device

Abstract

The present invention provides a multi-dimensional data analysis method for a capacitor compensation device, comprising the following steps: Step 1: Divide the inspection of the capacitor compensation device into a state dimension, a lifespan dimension, and an environment dimension, where the state dimension includes three subsets: switching times, switching frequency, and idle period; the lifespan dimension includes a subset for estimating the lifespan of the capacitor, and the environment dimension includes three subsets: temperature, humidity, and air pressure; Step 2: Analyze the state dimension, lifespan dimension, and environment dimension, and correlate the analysis results to finally obtain the inspection result of the capacitor compensation device. By using the multi-dimensional data analysis method, the problems of inaccurate inspection and untimely problem discovery of the existing capacitor compensation device are effectively solved, the inspection reliability of the capacitor compensation equipment is improved, and the occurrence probability of faults in the capacitor compensation equipment is indirectly reduced.

Description

Technical Field

[0001] The present invention relates to the technical fields of intelligent analysis and capacitor compensation, and particularly relates to a multi-dimensional data analysis method for a capacitor compensation device. Background Art

[0002] With the improvement of the power supply quality of the power grid, the installation and operation of capacitor compensation devices have gradually increased. It can not only improve the power supply quality of the power grid but also has a certain energy-saving and consumption-reducing function. However, during its operation, due to the frequent input and withdrawal of large currents and the chemical and physical interactions, there are risks such as explosion and fire of the compensation capacitors. To reduce such risks, capacitor compensation devices generally need to be maintained and overhauled for a specific period of time. At present, the maintenance work is mostly carried out manually, that is, manual measurement and inspection work. Restricted by the ability and responsibility of the operation and maintenance personnel, the inspection work fails to play the role of detecting potential hazards. Summary of the Invention

[0003] In order to solve the technical problems proposed in the background art, the present invention provides a multi-dimensional data analysis method for a capacitor compensation device. By using the multi-dimensional data analysis method, the problems of inaccurate inspection and untimely problem discovery of the existing capacitor compensation device are effectively solved, the inspection reliability of the capacitor compensation equipment is improved, and the occurrence probability of faults of the capacitor compensation equipment is indirectly reduced.

[0004] To achieve the above object, the present invention is implemented by adopting the following technical solutions:

[0005] A multi-dimensional data analysis method for a capacitor compensation device includes the following steps:

[0006] Step 1: Divide the inspection of the capacitor compensation device into a state dimension, a life dimension, and an environment dimension. The state dimension includes three subsets: the switching-on and -off times, the switching-on and -off frequency, and the idle period. The life dimension includes a subset for estimating the life of the capacitor, and the environment dimension includes three subsets: temperature, humidity, and air pressure.

[0007] Step 2: Analyze the state dimension, the life dimension, and the environment dimension, and correlate the analysis results to finally obtain the inspection result of the capacitor compensation device.

[0008] 1. In the state dimension described above, the switching-on and -off times are the statistics of the number of times the capacitor bank is switched on, the switching-on and -off frequency is the frequency of switching on and off the capacitor bank, which is statistically counted by the number of times per day, and the idle period is the integer-day measurement when not in operation, with the unit of day;

[0009] The state dimension analysis method includes:

[0010] 1) The switching times are the single statistical results of the capacitor bank's switching on and off, that is, one switching on - switching off is counted as one time, and they are recorded separately with days, weeks, and months as the statistical units; after statistics, the statistical coefficient is calculated by comparing with the corresponding switching times; this coefficient is used for the final state analysis and discrimination.

[0011] Statistical times: Daily statistical times: Nr, Weekly statistical times: Nz, Monthly statistical times: Yz;

[0012] Comparison coefficients: Daily comparison coefficient: Knr, Weekly comparison coefficient: Knz, Monthly comparison coefficient: Kyz;

[0013] Analysis coefficients: Daily analysis coefficient: Kr, Weekly analysis coefficient: Kz, Monthly analysis coefficient: Ky;

[0014] Calculation method of the analysis coefficient: Daily analysis coefficient: If Knr≥Nr, then Kr = 0, if Knr<Nr, then Kr = Nr / Knr;

[0015] Weekly analysis coefficient: If Knz≥Nz, then Kr = 02, if Knz<Nz, then Kz = Nz / Knz;

[0016] Monthly analysis coefficient: If Kyz≥Yz, then Ky = 0, if Kyz<Yz, then Ky = Yz / Kyz;

[0017] Fusion analysis coefficient Kw1: Kw1 = 1((1 / Kr + 1 / Kz + 1 / Ky) / 3);

[0018] 2) The calculation method of the switching frequency and the calculation method of the idle period are the same as those of the switching times.

[0019] II. The described life dimension includes three subsets: voltage life, temperature life, and harmonic life, which are used to describe three different influencing factors for capacitor life estimation respectively. It also includes the capacitor capacitance coefficient. The data of the subsets after statistics are used to obtain the life dimension coefficient according to the life fusion analysis method, which is used for the statistics of the whole system state.

[0020] (1) The calculation of the voltage life subset is as follows:

[0021]

[0022] K1: Calculated value of the voltage life dimension;

[0023] Uc: Actually measured voltage of the capacitor bank;

[0024] U N : Rated voltage of the capacitor bank;

[0025] Ka: Voltage loss coefficient.

[0026] (2) The temperature life subset is calculated as follows:

[0027]

[0028] K2: Calculated value of the temperature life dimension;

[0029] Tc: Actual measured temperature rise of the capacitor bank;

[0030] T N : Rated temperature rise of the capacitor bank;

[0031] Kb: Temperature loss coefficient.

[0032] (3) The harmonic life subset is calculated as follows:

[0033]

[0034] K3: Calculated value of the harmonic life dimension;

[0035] I TC : Actual measured current distortion rate of the capacitor bank;

[0036] I T : Rated current distortion rate of the capacitor bank;

[0037] Kc: Harmonic loss coefficient.

[0038] (4) The capacitor capacitance coefficient is as follows:

[0039]

[0040] K c : Calculated value of the harmonic life dimension;

[0041] C C : Actual measured capacitance value of the capacitor bank;

[0042] C N : Rated capacitance value of the capacitor bank;

[0043] K d : Capacity loss coefficient.

[0044] (5) The life fusion analysis method is as follows:

[0045] N = n×(Kc - K1 - K2 - K3) - T l

[0046] K1: Calculated value of the voltage life dimension;

[0047] K2: Calculated value of the temperature life dimension;

[0048] K3: Calculated value of the harmonic life dimension;

[0049] K c : Calculated value of harmonic life dimension;

[0050] N: Remaining value of comprehensive life;

[0051] n: Rated capacitor life;

[0052] T l : Cumulative operating time of the capacitor.

[0053] III. The described environmental dimension analysis method is as follows: After statistically analyzing three subsets of temperature, humidity, and air pressure and comparing with the corresponding data, a statistical coefficient is calculated; this coefficient is used for the final state analysis and discrimination;

[0054] Number of statistical times: Number of temperature statistical times: Wr, Number of humidity statistical times: Sz, Number of air pressure statistical times: Qz;

[0055] Comparison coefficient: Temperature comparison coefficient: Wnr, Humidity comparison coefficient: Snz, Air pressure comparison coefficient: Qyz;

[0056] Analysis coefficient: Temperature analysis coefficient: K W , Humidity analysis coefficient: K S , Air pressure analysis coefficient: Kq;

[0057] Calculation method of analysis coefficient: Temperature analysis coefficient: If Wnr ≥ Wr, then Kw = 0; if Wnr < Wr, then Kw = Wr / Wnr;

[0058] Humidity analysis coefficient: If Snz ≥ Sz, then Ks = 0; if Snz < Sz, then Ks = Sz / Snz;

[0059] Air pressure analysis coefficient: If Qyz ≥ Qz, then Kq = 0; if Qyz < Qz, then Kq = Qz / Qyz;

[0060] Fusion analysis coefficient Kw2: Kw2 = 1 / ((1 / Kw + 1 / Ks + 1 / Kq) / 3).

[0061] IV. The specific content of Step II is as follows:

[0062] Status evaluation

[0063] Using the calculation results of the three dimensions that have been completed, calculate the inspection score of the capacitor compensation device according to the following formula,

[0064] Z = A × Kw1% + B × Kw2% + C × N / n

[0065] Z: Final score of the capacitor compensation device

[0066] A: Scoring coefficient (20% ± 2%), B: Scoring coefficient (70% ± 2%), C: Scoring coefficient (10% ± 2%). A score of 80 or above is considered good, 60 - 80 is considered passing, and below 60 is considered failing.

[0067] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0068] The present invention utilizes a multi - dimensional data analysis method to invent a simple and feasible intelligent inspection device for capacitor compensation equipment and its analysis method. It abandons the original single - dimensional inspection scheme and correlates all inspection nodes in terms of dimensions, achieving a comprehensive intelligent evaluation of capacitor compensation equipment. Compared with other analysis methods and devices, it increases reliability and feasibility, effectively solves the problems of inaccurate inspection and untimely problem discovery of existing capacitor compensation devices, improves the inspection reliability of capacitor compensation equipment, and indirectly reduces the occurrence probability of faults in capacitor compensation equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0069] Figure 1 is a flow chart of a multi - dimensional data analysis method for a capacitor compensation device of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0070] The following provides a detailed description of the specific embodiments provided by the present invention in conjunction with the accompanying drawings.

[0071] As Figure 1 shown, a multi - dimensional data analysis method for a capacitor compensation device includes the following steps:

[0072] Step 1: Divide the inspection of the capacitor compensation device into a status dimension, a lifespan dimension, and an environment dimension. The status dimension includes three subsets: switching times, switching frequency, and idle period; the lifespan dimension includes a subset for estimating the lifespan of the capacitor; the environment dimension includes three subsets: temperature, humidity, and air pressure.

[0073] Step 2: Analyze the status dimension, lifespan dimension, and environment dimension, correlate the analysis results, and finally obtain the inspection result of the capacitor compensation device.

[0074] The specific implementation process is as follows:

[0075] I. Parameter collection

[0076] 1) Monitoring parameters of the capacitor compensation equipment

[0077] The effective values of the voltage and current of the capacitor bank;

[0078] The operating temperature and humidity of the capacitor bank;

[0079] The ambient temperature at the operating location of the capacitor device;

[0080] The switching state of the capacitor bank

[0081] Operating duration of the capacitor bank;

[0082] Operating clock of the capacitor bank;

[0083] 2) Data calculated by collecting data

[0084] Capacitance value of the capacitor bank;

[0085] Operating temperature rise of the capacitor bank;

[0086] Harmonic current distortion rate of the capacitor bank.

[0087] II. State dimension analysis

[0088] In the described state dimension, the switching times are the statistics of the number of times the capacitor bank is put into operation, the switching frequency is the frequency of switching the capacitor bank, which is counted according to the number of times per day, and the idle period is measured in whole days when not in operation, with the unit of day;

[0089] The state dimension analysis method includes:

[0090] 1) The switching times are the single statistical results of the capacitor bank's input and removal, that is, input - removal is counted as one time, and are respectively recorded with days, weeks, and months as the statistical units; after statistics, the statistical coefficient is calculated by comparing with the corresponding switching times; this coefficient is used for the final state analysis and discrimination;

[0091]

[0092] 2) The calculation methods of the switching frequency and the idle period are the same as those of the switching times calculation method.

[0093] III. Lifetime dimension analysis

[0094] The described lifetime dimension includes three subsets: voltage lifetime, temperature lifetime, and harmonic lifetime, which are respectively used to describe three different influencing factors for capacitor lifetime estimation, and also includes the capacitor capacitance coefficient. The data of the subsets after statistics are used to obtain the lifetime dimension coefficient according to the lifetime fusion analysis method, which is used for the statistics of the overall system state.

[0095] (1) The calculation of the voltage lifetime subset is as follows:

[0096]

[0097] K1: Calculated value of the voltage lifetime dimension;

[0098] Uc: Actually measured voltage of the capacitor bank;

[0099] U N : Rated voltage of the capacitor bank;

[0100] Ka: Voltage loss coefficient.

[0101] (2) The temperature life subset is calculated as:

[0102]

[0103] K2: Calculated value of the temperature life dimension;

[0104] Tc: Actual measured temperature rise of the capacitor bank;

[0105] T N : Rated temperature rise of the capacitor bank;

[0106] Kb: Temperature loss coefficient.

[0107] (3) The harmonic life subset is calculated as:

[0108]

[0109] K3: Calculated value of the harmonic life dimension;

[0110] I TC : Actual measured current distortion rate of the capacitor bank;

[0111] I T : Rated current distortion rate of the capacitor bank;

[0112] Kc: Harmonic loss coefficient.

[0113] (4) The capacitor capacitance coefficient is:

[0114]

[0115] K c : Calculated value of the harmonic life dimension;

[0116] C C : Actual measured capacitance value of the capacitor bank;

[0117] C N : Rated capacitance value of the capacitor bank;

[0118] K d : Capacitance loss coefficient.

[0119] (5) The life fusion analysis method is:

[0120] N = n × (Kc - K1 - K2 - K3) - T l

[0121] K1: Calculated value of the voltage life dimension;

[0122] K2: Calculated value of the temperature life dimension;

[0123] K3: Calculated value of the harmonic life dimension;

[0124] K c : Calculated value of the harmonic life dimension;

[0125] N: Remaining value of the comprehensive life;

[0126] n: Rated capacitor life;

[0127] T l : Cumulative operating time of the capacitor.

[0128] IV. Environmental Dimension Analysis

[0129] The described environmental dimension analysis method is: after statistically analyzing three subsets of temperature, humidity, and air pressure and comparing with the corresponding data to calculate the statistical coefficient; this coefficient is used for the final state analysis and discrimination;

[0130]

[0131] V. Status Evaluation:

[0132] Using the calculation results of the three completed dimensions, calculate the inspection score of the capacitor compensation device according to the following formula,

[0133] Z = A × Kw1% + B × Kw2% + C × N / n

[0134] Z: Final score of the capacitor compensation device

[0135] A: Scoring coefficient (20% ± 2%), B: Scoring coefficient (70% ± 2%), C: Scoring coefficient (10% ± 2%)

[0136] If the calculated score is above 80 points, it is good; if it is between 60 - 80 points, it is passing; if it is below 60 points, it is failing.

[0137] The above embodiments are implemented on the premise of the technical solution of the present invention, and the detailed implementation methods and specific operation processes are given, but the protection scope of the present invention is not limited to the above embodiments. The methods used in the above embodiments are all conventional methods unless otherwise specified.

Claims

1. A multi - dimensional data analysis method for a capacitor compensation device, characterized in that, It includes the following steps: Step 1: Divide the inspection of the capacitor compensation device into a status dimension, a lifespan dimension, and an environment dimension. The status dimension includes three subsets: the switching-on and -off times, the switching-on and -off frequency, and the idle period. The lifespan dimension includes a subset for estimating the capacitor lifespan, and the environment dimension includes three subsets: temperature, humidity, and air pressure. The lifespan dimension includes three subsets: voltage lifespan, temperature lifespan, and harmonic lifespan, which are used to describe three different influencing factors for estimating the capacitor lifespan, respectively. It also includes a capacitor capacitance coefficient. The data of the statistically processed subsets are used to obtain a lifespan dimension coefficient according to the lifespan fusion analysis method, which is used for the statistics of the overall system status. The calculation of the voltage lifespan subset is as follows: K1: Calculated value of the voltage lifespan dimension Uc: Actually measured voltage of the capacitor bank U N : Rated voltage of capacitor bank; Ka: Voltage loss coefficient The calculation of the temperature lifespan subset is as follows: K2: Calculated value of the temperature lifespan dimension Tc: Actually measured temperature rise of the capacitor bank T N : Rated temperature rise of capacitor bank; Kb: Temperature loss coefficient The calculation of the harmonic lifespan subset is as follows: K3: Calculated value of the harmonic lifespan dimension I TC : actual measured current distortion rate of capacitor bank; I T : Distortion rate of rated current of capacitor bank; Kc: Harmonic loss coefficient The capacitor capacitance coefficient is as follows: K c : Calculated value of harmonic life dimension; C C : The actual measured capacitance value of the capacitor bank; C N : Rated capacitance value of the capacitor bank; K d : Capacity loss coefficient; The lifespan fusion analysis method is as follows: N = n×(Kc - K1 - K2 - K3) - T l K1: Calculated value of the voltage lifespan dimension K2: Calculated value of the temperature lifespan dimension K3: Calculated value of the harmonic lifespan dimension K c : Calculated value of harmonic life dimension; N: Comprehensive remaining lifespan value n: Rated capacitor lifespan T l : Cumulative operating time of the capacitor; Step 2: Analyze the status dimension, lifespan dimension, and environment dimension, correlate the analysis results, and finally obtain the inspection result of the capacitor compensation device.

2. The multi-dimensional data analysis method of a capacitance compensation device according to claim 1, wherein, In the status dimension, the switching-on and -off times are the statistics of the number of times the capacitor bank is switched on, the switching-on and -off frequency is the frequency of switching on and off the capacitor bank, which is statistically counted by the number of times per day, and the idle period is the integer number of days when it is not in operation, with the unit of day. The status dimension analysis method includes: 1) The switching-on and -off times are the single statistical results of the capacitor bank being switched on and off, that is, switching on - switching off is counted as one time, and it is recorded separately with days, weeks, and months as the statistical units. After statistics, it is compared with the corresponding switching-on and -off times to calculate the statistical coefficient. This coefficient is used for the final status analysis and discrimination. Statistical times: Daily statistical times: Nr, Weekly statistical times: Nz, Monthly statistical times: Yz; Comparison coefficients: Daily comparison coefficient: Knr, Weekly comparison coefficient: Knz, Monthly comparison coefficient: Kyz; Analysis coefficients: Daily analysis coefficient: Kr, Weekly analysis coefficient: Kz, Monthly analysis coefficient: Ky; Calculation method of the analysis coefficient: Daily analysis coefficient: If Knr ≥ Nr, then Kr = 0; if Knr < Nr, then Kr = Nr / Knr; Weekly analysis coefficient: If Knz ≥ Nz, then Kr = 02; if Knz < Nz, then Kz = Nz / Knz; Monthly analysis coefficient: If Kyz ≥ Yz, then Ky = 0; if Kyz < Yz, then Ky = Yz / Kyz; Fusion analysis coefficient Kw1: Kw1 = 1((1 / Kr + 1 / Kz + 1 / Ky) / 3); 2) The calculation methods of the switching-on and -off frequency and the idle period are the same as those of the switching-on and -off times.

3. The multi-dimensional data analysis method of a capacitance compensation device according to claim 1, wherein, The environment dimension analysis method is: After statistically counting the three subsets of temperature, humidity, and air pressure, compare with the corresponding data to calculate the statistical coefficient. This coefficient is used for the final status analysis and discrimination. Statistical frequency: Temperature statistical frequency: Wr, Humidity statistical frequency: Sz, Air pressure statistical frequency: Qz; Comparison coefficient: Temperature comparison coefficient: Wnr, Humidity comparison coefficient: Snz, Air pressure comparison coefficient: Qyz; Analysis coefficient: Temperature analysis coefficient: K W Humidity analysis coefficient: K S Atmospheric pressure analysis coefficient: Kq; Analysis coefficient calculation method: Temperature analysis coefficient: If Wnr ≥ Wr, then Kw = 0; if Wnr < Wr, then Kw = Wr / Wnr; Humidity analysis coefficient: If Snz ≥ Sz, then Ks = 0; if Snz < Sz, then Ks = Sz / Snz; Air pressure analysis coefficient: If Qyz ≥ Qz, then Kq = 0; if Qyz < Qz, then Kq = Qz / Qyz; Fusion analysis coefficient Kw2: Kw2 = 1 / ((1 / Kw + 1 / Ks + 1 / Kq) / 3).

4. The multi-dimensional data analysis method of a capacitance compensation device according to claim 1, wherein, The specific content of step 2 is as follows: Using the calculation results of the three dimensions that have been completed, calculate the inspection score of the capacitor compensation device according to the following formula: Z = A × Kw1% + B × Kw2% + C × N / n Z: Final score of the capacitor compensation device A: Score assignment coefficient (20% ± 2%), B: Score assignment coefficient (70% ± 2%), C: Score assignment coefficient (10% ± 2%) If the calculated score is above 80 points, it is considered good; if it is between 60 - 80 points, it is considered passing; if it is below 60 points, it is considered failing.

Images