Calculation of Multistage Impulse Circuit and Its Analytical Function Parameters

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1 Volume 4 No , ISSN: (printed version); ISSN: (on-line version) url: ijpam.eu Calculation of Multistage Impulse Circuit and Its Analytical Function Parameters G. Ramarao, K. Chandrasekaran 2 Department of Electrical Engg., National Institute Of Technology, Raipur, Chhatisgarh, India. grr23@gmail.com 2 Department of Electrical Engg., National Institute Of Technology, Raipur, Chhatisgarh, India. vrkchandran@yahoo.com Abstract A new approach has been proposed for the evaluation of multi stage impulse circuit parameters from known rise or peak time and tail time (physical parameters) using Nelder- Mead algorithm (NMA). Results of five stage (n=5) impulse circuit parameters such as C, C2, R, R2 & Rs are reported for generating full lightning impulse (LI) and full switching impulse (SI) as given in standards (IEEE and IEC ). The determined circuit parameters are validated for practical applications through the impulse circuit developed in MATLAB/Simulation for 50kV peak impulse signal. The presented method enables accurate estimation of unknown impulse circuit parameters from the known physical parameters. Impulse wave (LI & SI) attained using double exponential expression and through simulation circuits are reported. The closeness in peak time, rise time, tail time and peak voltage between the output of double exponential function and Simulink model for both standard LI (.2/50µs) and standard SI (250/2500µs) are also described. Key Words:- Analytical function parameters, circuit parameters, full lightning impulse (LI), Nelder-Mead algorithm (NMA), full switching impulse (SI). Introduction In recent years, lightning and switching over voltages have been considered to be the major reason of damage or destruction to power system apparatus. Lightning impulse and transient switching over voltages can cause great damage to insulation of power apparatus used in its network [-2]. Hence, the power apparatus used in power system network should be designed and constructed to withstand against such lightning 583

2 and switching over voltages. Power system network mainly concern with reliability of each apparatus used in it. In order to maintain the reliability of power system against lightning and switching over voltages, it is important to test and verify the electrical breakdown strength or capability of insulation of high voltage power apparatus before introducing into power system network [3-6]. International standards such as IEC [7] and IEEE std [8] describes both full lightning impulse (LI) and switching impulse (SI) voltage tests normally performed on insulation of power system apparatus, in order to check the dielectric strength. According to these standards.2/50µs and 250/2500µs impulses are considered for full LI and SI. Hence, it is essential to check the shape and properties of the both LI and SI before applied to the test object in the laboratory. [9]. Standard full LI and SI waveforms shown in Fig. and Fig. 2 are characterized by three parameters: peak value (Vpeak), time to rise (trise) (for full LI) or time to peak (tpeak) (for full SI), and time to half peak value (ttail). According to IEEE standards IEEE std 4-203, full LI has trise =.2µs and ttail = 50µs with tolerances of ±30% for trise and ±20% for ttail [0]. According to IEC standards IEC , full SI has tpeak = 250µs and ttail = 2500µs with tolerances of ±20% for tpeak and ±60% for ttail []. These parameters can be termed as physical parameters because these are generally determines from the impulse waveforms (both full LI and SI). Fig. Double exponential wave with trise and ttail of the standard full lightning impulse voltage [2] Fig.2 Double exponential wave with tpeak and ttail of the standard full switching impulse voltage wave [2] Standard full LI and SI waveforms are mathematically expressed by double exponential function (). V(t) = V 0 K(e αt e βt ) () Where V0 is amplitude, α and β are the analytical (double exponential) function parameters. To keep the pulse positive polarity, the analytical (double exponential) function constant parameters α and β should satisfy the condition that β > α > 0, t 0 [3]. K is the amplitude modifying factor [4]. Proper physical parameters can be achieved through the selecting the suitable values of circuit parameters. In the same manner, it is also important to determine proper analytical function parameters (α, β) from known physical parameters. Hence this paper, a new approach for aforementioned transformation from physical parameters to multi stage impulse circuit parameters for both full LI and SI has been attempted and explained in Section 3 and reported in section 4. Results of circuit 584

3 parameters are validated through simulation impulse circuit designed in the MATLAB is explained in Section 5. 2 Details of Multi Stage Impulse Circuit and Its Parameters Simulation and practical multi stage impulse circuit consisting of parameters (C, C2, R, R2 & Rs) as shown in fig.3 has been considered for generation of standard full LI and SI [5-6]. Double exponential function () is commonly used for generation of both full LI and SI voltages. The shape properties of standard full LI and SI voltages using () are given in Fig. and Fig. 2 respectively. Generation of full lightning and switching impulses as per the standards in laboratory, it is necessary to determine the suitable multi stage impulse circuit parameters (C, C2, R, R2 & Rs) corresponds to physical parameters (trise or tpeak and ttail) rather than single stage impulse circuit parameters because single stage impulse circuit generates voltage up to certain limit, beyond that voltage, a single capacitor and its charging unit used in single stage impulse circuit become too costly. In order to production of 50kV (peak) impulse voltage (full LI or SI), charging capacitor (C ) of each stage in multi stage impulse generation circuit (5 stages) is charged to K 30kV in parallel and discharge them in series. In this regard, the charging resistance (Rs) is chosen for charge the capacitors in parallel to supply voltage in about minute and limits the charging current to about 50 to 00mA [7]. Initially, charging capacitor (C) of single stage impulse generation circuit is selected based on maximum charging voltage (V0max) and impulse energy (W) of the generator as given by (2). Then, single stage charging capacitor (C) is converted into multistage charging capacitor (C ) according to [2]. In this paper, impulse energy of 50kV (peak) impulse generator (full LI or SI) is chosen as 225J. C = (2 W)/ (V 2 0max) (2) R s C ' G 2 G R s R s C ' G 2 C ' 2 C ' 2 V 0 R s G D.C. C ' 2 Fig.3. Multi stage impulse generator circuit (n=5) 585

4 3 Proposed Impulse Circuit Parameter Estimation Technique The proposed technique for estimating multi stage (n=5; where n is the number of stages) impulse circuit parameters (C, C2, R, R2 & Rs) from known physical parameters has two major parts, one is Nelder-Mead algorithm (NMA) to determination of analytical (double exponential) function parameters (α, β) from the initially defined physical parameters (trise and ttail) and second one is determination of multi stage impulse circuit parameters from α, β for the multi stage (n=5) impulse generation circuit is shown in Fig. 3. Nelder-Mead algorithm is used for determination of analytical (double exponential) function parameters (α and β) from known (target) physical parameters (trise and ttail).the initial approximations given in [8] by (3) are used to initiate the algorithm α initial = and β t initial = (3) tail t rise Enter tail and rise (or) peak times (ttail & trise (or) tpeak) Calculate analytical function parameters (α, β) from trise and ttail using Nelder-Mead Algorithm If trise Is If tpeak trise (or) tpeak Plot the impulse voltage waveform using α and β Determine peak value of the waveform & Time corresponds to peak (tpeak) Calculate parameter Y using peak and tail times Y= ttail/tpeak Calculate x value from below equation [20] Y = -ln {0.5 (exp ( -ln(x)/(x-)) exp (-xln(x)/(x-)))} / (ln(x)/(x-)) Determine the parameter a, b and c by using x value [2] a = ln(x) / ((x-) tpeak), b = a x, c = 2 a Calculate the circuit parameters by using a, b and c [2] C 2 =, C = (a + b c)^2 / (ac + bc c^2 ab) R 2 = / (a + b c), R = (ac + bc - c^2 _ ab) / (ab (a + b c) Calculate α and β values by using circuit parameters [5] α = / (R 2 C ) & β = / (R C 2 ) Construct impulse voltage waveform using α and β values & Determine rise time and tail time from the impulse voltage waveform (trise_cal, ttail_cal) Recalculate the circuit parameters by using above α &β values C new = (2 W)/(V 2 0max), C 2new = C new /00, No R new = / (β C 2new ) & R 2new = / (α C new ) trise_cal == trise & ttail_cal == ttail Yes Conclude that C, C 2, R and R 2 are the circuit parameters Calculate new values of α, β α new = / (R 2new C new ), β new = / (R new C 2new ) Reconstruct the impulse voltage waveform by using α new and β new & Determine the new rise and tail times (trise_new, ttail_new) No trise_new == trise & ttail_new == ttail Yes Conclude that C new,c 2new, R new and R 2new are the circuit parameters Convert above circuit parameters into multistage impulse circuit parameters [2] Fig. 4. Flowchart for determination of multi stage impulse circuit parameters from physical parameters using Nelder-Mead algorithm 586

5 Then, the algorithm is continued for searching the close value of analytical function parameter α and β corresponding to the given ttail and trise respectively. Values of α and β are moderately changed in a specific interval upward or downward in each step, then ttail and trise are calculated corresponding changes in the α and β. These calculated tail and rise times are compared to the known physical parameters for each changes of α and β. At the end of each step, the α and β are taken and chosen as the start of next step. If the values of α and β are same as that of the previous α and β, then specific interval is decreased by half. This process is repeated until the desired target parameters ttail and trise are achieved with smaller relative error (between tail and rise time of final α, β and given target) than the preset accuracy [9]. This algorithm is quite simple and gives more precise results near the end. This process offers the possibility for transform physical parameters of the impulse wave to analytical function parameters. Complete steps involving to find the multi stage (n=5) impulse circuit parameters from the known rise or peak time and tail time (physical parameters) using Nelder-Mead algorithm (NMA) are given in the form of flow chart in Fig Results of Proposed Technique The circuit parameters (C, C2, R, R2 & Rs) for multi stage impulse generator and analytical (double exponential) function parameters (α, β) are obtained from Section 3 and reported in section 4, are validated through simulation using impulse circuit implemented in MATLAB/Simulation [23]. The circuit parameters have been derived for the generation of standard full lightning impulse (IEEE std 4-203) voltage signal (.2/50µs) with 50kV peak results are given in table. Similarly circuit parameters are also derived for the generation of 50kV peak standard full switching impulse (IEC 6060-) voltage signal (250/2500µs) is tabulated in table 2. Table. Analytical (Double Exponential) Function Parameters (α and β) & Multi Stage Impulse Circuit Parameters of Standard Full Lightning Impulse Voltage Standard full lightning impulse physical parameters(rise & tail time) Result of α and β for the physical parameters using NMA Multistage impulse circuit parameters corresponds to physical parameters (µs) α β C C2 R R2 RS ( 0 4 ) ( 0 6 ) (µf) (nf) (Ω) (Ω) (MΩ).2/ The circuit parameters for standard full lightning and standard full switching impulse voltage shown in table and table 2 are validated through the multi stage impulse generator circuit as given in [5]. The percentage error of peak time, rise time, tail time and peak voltage between results of simulation and analytical function are calculated and reported. The charging resistance Rs is chosen here for charging the each stage capacitors in parallel is calculated using (4). 587

6 Rs C = min. (4) Table 2: Analytical (Double Exponential) Function Parameters (α and β) & Multi Stage Impulse Circuit Parameters of Standard Full Switching Impulse Voltage Standard full switching impulse physical parameters peak & tail time Result of α and β for the physical parameters using NMA Multistage impulse circuit parameters corresponds to physical parameters (µs) α β C (µf) C2 (nf) R (kω) R2 (kω) RS (MΩ) 250/ Results Validation and Discussion The multi stage impulse generator circuit implemented in MATLAB/Simulink is shown in Fig. 5. The five stage (n=5) impulse circuit parameter (C (C s =C s =C s =C s =C s ), C2, R (Rd=Rd2=Rd3=Rd4=Rd5), R2 (Rg=Rg2=Rg3=Rg4=Rg5) and RS given in table and table 2 for standard lightning impulse voltage and standard switching impulse voltage signals are substituted in respective elements shown in Fig. 5 and its results are reported in Figs. 6 and 7. Fig.5 Multi stage impulse circuit implemented in MATLAB/Simulink The standard full lightning impulse (LI) and switching impulse (SI) voltage waveforms obtained using both analytical function (double exponential) and multi stage impulse generation circuit (Fig. 5) are illustrated in Fig. 6 and Fig. 7 respectively for both full LI & SI voltage, peak is chosen to be 50kV and 588

7 Amplitude (kv) Amplitude (kv) International Journal of Pure and Applied Mathematics corresponding correction factor k is calculated and incorporated in Simulink model. The percentage error is calculated for both full LI and SI waveforms by taking four parameters i.e. rise time, tail time, peak time and peak voltages. These errors are reported in table 3 and table 4 respectively. From the Figs. 6 and 7 it is observed that, the simulation output is matched well with the analytical function waveforms obtained using NMA algorithm. Hence the proposed method is validated through simulation. 50 Multistage impulse circuit Analytical function 50 Multistage impulse circuit Analytical function Time ( s) Time ( s) Fig.6. Standard full lightning impulse voltage waveform(.2/50µs) using multistage impulse generation circuit and analytical function parameters. Fig.7. Standard full switching impulse voltage waveform (250/2500µs) using multistage impulse circuit and analytical function parameters. Table 3: Percentage Errors between Results of Analytical (Double Exponential) Function & Multi Stage Impulse Generator Circuit of Standard Full Lightning Impulse Voltage Standard full lightning impulse physical Percentage Error parameters(rise & tail time)(µs) Rise time Tail time Peak time Peak voltage.2/50.48%.67%.79% -0.02% Table 4: Percentage Errors between Results of Analytical (Double Exponential) Function & Multi Stage Impulse Generator Circuit of Standard Full Switching Impulse Voltage Standard full switching Percentage Error impulse physical parameters(rise & tail time)(µs) Rise time Tail time Peak time Peak voltage 250/ % 4.06% 0.48% -.24% 589

8 From the table 3 and 4, it is observed that the percentage error in rise time, tail time, peak time and peak voltage are within tolerance as provided in standards IEEE and IEC for both standard full LI and SI respectively. Also the maximum percentage error observed from proposed method for determining the impulse circuit parameter is 4%. 6 Conclusion A new method for calculating analytical function and multi stage impulse circuit parameters are attempted and reported. Results of impulse circuit parameters are validated through simulation for both standard full LI and SI voltages. The percentage error in rise time, tail time, peak time and peak voltage between the impulse waveforms attained using circuit parameters and analytical function parameters are reported. Maximum error observed in the proposed approach is ±4%. Proposed method enables an accurate estimation of unknown impulse circuit parameters from known physical parameters. Errors appeared in proposed approach are within the tolerance as given in the standards. Hence the circuit parameters reported here can be useful in high voltage laboratory or in related applications for generating standard high voltage lightning and switching impulse signals with the peak of 50kV. 7 References []. Xi Wang, Zhanqing Yu and Jinliang He, Breakdown Process Experiments of 0-to 500-kV Insulator Strings Under Short Tail Lightning Impulse, IEEE Trans. Power del., vol. 29, no. 5, pp , Oct [2]. Alejandro Ancajima, Alys Carrus, Enrico Cinieri and Carlo Mazzetti, Behavior of MV Insulators Under Lightning-Induced Overvoltages: Experimental Results and Reproduction of Volt-Time Characteristics by Disruptive Effects Models, IEEE Trans. Power del., vol. 25, no., pp , Jan [3]. R. A. Fitch, Marx-and Marx-Like High-Voltage Generators, IEEE Trans. Nucl. Sci., vol. 8, no. 4, pp , 97. [4]. J. Liang, L. Zhang, J. Li and Y. Li, Study on Oscillating Switching Impulse Voltage Generation for Power Transformer Onsite Test, IEEE Trans. Power Del., vol. 29, no. 5, pp , Oct [5]. P. Yutthagowith and N. Pattanadech, Improved Least-Square Prony Analysis Technique for Parameter Evaluation of Lightning Impulse Voltage and Current, IEEE Trans. Power Del., vol. 3, no., pp , Feb [6]. L. Satish and B. I. Gururaj, Wavelet Analysis for Estimation of Mean-Curve of Impuls Waveforms Superimposed by Noise Oscillations and Overshoot, IEEE Trans. Power Del., vol. 6, no., pp. 6-2, Jan [7]. High-Voltage Test Techniques Part : General Definitions and Test Requirement, IEC Standard , 200. [8]. IEEE Standard Technique for High-Voltage Testing, IEEE Standard 4-203, 203. [9]. Gang Wu, Shape Properties of Pulses Described by Double Exponential Function and Its Modified Forms, IEEE Trans. Electromagn. Compat., vol. 56, no. 4, pp , Aug

9 [0]. Y. M. Li, J. Kuffel and W. Janischewskyj, Exponential Fitting Algorithms for Digitally Recorded HV Impulse Parameter Evaluation, IEEE Trans. Power Del., vol. 8, no. 4, pp , Oct []. J. Perez and J. Martinez, Digitally Recorded Lightning Impulse with Overshoot Parameter Evaluation by using the Kalman Filtering Method, IEEE Trans. Power Del., vol. 3, no. 4, pp , Oct [2]. Vernon Cooray, Lightning Protection, London, United Kingdom, The Institute of Engineering and Technology, 200. [3]. Feng Qin, C. Mao, Gang Wu and Hui Zhou, Characteristic Parameter Estimation of EMP Energy Spectrum, 7 th Asia Pacific International Symposium on Electromagnetic Compatibility, pp. -3, May [4]. M. Camp and H. Garbe, Parameter Estimation of Double Exponential Pulse (EMP, UWB) With Least Squares and Nelder Mead Algorithm, IEEE Trans. Electromagn. Compat., vol. 46, no. 4, pp , Nov [5]. M. S. Naidu and V. Kamaraju, High Voltage Engineering, New Delhi, Tata McGraw-Hill, 995. [6]. C. Mao and Hui Zhou, Novel Parameter Estimation of Double Exponential Pulse (EMP, UWB) by Statistical Means, IEEE Trans. Eelectromagn. Compat., vol. 50, no., pp , Feb [7]. A. Carrus and L. E. Funes, Very Short Tailed Lightning Double Exponential Wave Generation Techniques Based on Marx Circuit Standard Configurations, IEEE Trans. Power Apparatus and Systems, vol. PAS-03, no. 4, pp , Apr [8]. Mathias Magdowski and Ralf Vick, Estimation of Mathematical Parameters of Double Exponential Pulses Using the Nelder Mead Algorithm, IEEE Trans. Electromagn. Compat., vol. 52, no. 4, pp. -3, Nov [9]. J. A. Nelder and R. Mead, A Simplex Method for Function Minimization, The Computer Journal, vol. 7, no. 4, pp , Jan [20]. S. C. Dutta Roy and D. K. Bhargava, On the Design and Generation of the Double Exponential Function, IEEE Trans. Instrum. Meas., vol. 45, no., pp , Feb [2]. Joseph M. Googe, Paul D. Ewing and Richard A. Hess, Parameter Correlation of Impulse Shapes Using Two-Port Synthesis, IEEE Trans. Instrum. Meas., vol. 4, no., pp , Feb [22]. E. Kuffel, W. S. Zaengl, and J. Kuffel, Impulse Voltages, in High Voltage Engineering Fundamentals. Oxford, U. K., Butterworth Heinemann, 2000, pp [23]. MATLAB The Language of Technical Computing from Math works. inc. ( 59

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