Adaptive Observer for Dynamic Voltage Restorer with Optimized Proportional Integral Gains*

doi:10.23919/CJEE.2022.000004

Abstract

Abstract: An algorithm based on a sliding-mode adaptive observer is proposed for the effective control of dynamic voltage restorers (DVRs). Three single-phase voltage source converter-based topologies are implemented for the DVR. In this control, frequency adaption is considered for estimating the phase angle, system frequency, and fundamental component of the disturbed input voltage signals. The estimated fundamental component of the supply voltage is used to generate the DVR reference load voltage. The phase jump in the supply voltage is also considered for DVR compensation studies along with voltage sag, swell, and voltage distortions. For this purpose, the gains of the proportional integral (PI) controllers used in this control algorithm are estimated using a nature-inspired optimization approach for the desired response. A moth flame optimization algorithm is implemented for PI controller gain tuning owing to the advantage of finding the best solution by each moth’s search and updating it. Through Matlab simulation and hardware testing, the performance of the DVR with an adaptive observer is found to be satisfactory for supply voltage sag, swell, phase jump, and voltage distortions.

Key words: Adaptive observer, phase jump, power quality, frequency estimation, DVR, triangular wave

Sabha Raj Arya, Rakesh Maurya, Talada Appala Naidu, Baladhandautham Chitti Babu. Adaptive Observer for Dynamic Voltage Restorer with Optimized Proportional Integral Gains^*[J]. Chinese Journal of Electrical Engineering, 2022, 8(1): 38-52.

References

[1] M P Kazmierkowski, R Krishnan, F Blaabjerg.Control in power electronics: Selected problems. New York: Elsevier Science, 2002.
[2] A Yazdani, R Iravani.Voltage-sourced converters in power systems: Modeling, control, and applications. Hoboken: John Wiley and Sons, 2010.
[3] R S Vedam, M S Sarma.Power quality: VAR compensation in power systems. New York: CRC Press, 2008.
[4] B Singh, A Chandra, K Al-Haddad.Power quality: Problems and mitigation techniques. London: John Wiley and Sons, 2014.
[5] D Patel, A K Goswami, S K Singh.Voltage sag mitigation in an Indian distribution system using dynamic voltage restorer.International Journal of Electrical Power and Energy Systems, 2015(71): 231-241.
[6] M Mansoor, N Mariun, A Toudeshki, et al.Innovating problem solving in power quality devices: A survey based on dynamic voltage restorer case (DVR).Journal of Renewable and Sustainable Energy Reviews, 2017(70): 1207-1216.
[7] A K Jindal, A Ghosh, A Joshi.Critical load bus voltage control using DVR under system frequency variation.Journal of Electric Power Systems Research, 2008, 78(2): 255-263.
[8] M H Haque.Voltage sag correction by dynamic voltage restorer with minimum power injection.IEEE Power Engineering Review, 2001, 21(5): 56-58.
[9] F B Ajaei, S Afsharnia, A Kahrobaeian, et al.A fast and effective control scheme for the dynamic voltage restorer.IEEE Trans. on Power Delivery, 2011, 26(4): 2398-2406.
[10] G Nicolaescu, H Andrei, S Radulescu.Dynamic voltage restorer response analysis for voltage sags mitigation in MV networks with secondary distribution configuration.Proc. IEEE 14^th International Conference on Environment and Electrical Engineering, 2014: 40-45.
[11] H Abdollahzadeh, M Jazaeri, A Tavighi.A new fast-converged estimation approach for dynamic voltage restorer (DVR) to compensate voltage sags in waveform distortion conditions.International Journal of Electrical Power and Energy Systems, 2014(54): 598-609.
[12] A E Leon, M F Farias, P E Battaiotto, et al.Control strategy of a DVR to improve stability in wind farms using squirrel-cage induction generators.IEEE Trans. on power systems, 2010, 26(3): 1609-1617.
[13] Peng Li, Lili Xie, Jiawei Han, et al.A new voltage compensation philosophy for dynamic voltage restorer to mitigate voltage sags using three-phase voltage ellipse parameters.IEEE Trans. on Power Electronics, 2017, 33(2): 1154-1166.
[14] A R A Jerin, P Kaliannan, U Subramaniam. Improved fault ride through capability of DFIG based wind turbines using synchronous reference frame control based dynamic voltage restorer.ISA Transactions, 2017(70): 465-474.
[15] N Kassarwani, J Ohri, A Singh.Performance analysis of dynamic voltage restorer using improved PSO technique.International Journal of Electronics, 2019, 106(2): 212-236.
[16] Guodong Chen, Liang Zhang, Ruiting Wang, et al.A novel SPLL and voltage sag detection based on LES filters and improved instantaneous symmetrical components method.IEEE Trans. on Power Electronics, 2015, 30(3): 1177-1188.
[17] E Ebrahimzadeh, S Farhangi, H I Eini, et al.Improved phasor estimation method for dynamic voltage restorer applications.IEEE Transactions on Power Delivery, 2015, 30(3): 1467-1477.
[18] D A Fernandes, F F Costa, J RS Martins, et al.Sensitive load voltage compensation performed by a suitable control method.IEEE Transactions on Industry Applications, 2017, 53(5): 4877-4885.
[19] S Biricik, H Komurcugil.Optimized sliding mode control to maximize existence region for single-phase dynamic voltage restorers.IEEE Trans. on Industrial Informatics, 2016, 12(4): 1486-1497.
[20] J J E Slotine, J K Hedrick, E A Misawa. On sliding observers for nonlinear systems.Journal of Dynamic Systems, Measurement, and Control, 1987, 109(3): 245-252.
[21] H Ahmed, S Amamra, I Salgado.Fast estimation of phase and frequency for single-phase grid signal.IEEE Trans. on Industrial Electronics, 2018, 66(8): 6408-6411.
[22] R Bansal, M Jain, B Bhushan.Designing of multi-objective simulated annealing algorithm tuned PID controller for a temperature control system.Proc. 6^th IEEE Power India International Conference (PIICON)), 2014: 1-6.
[23] K Du, M N S Swamy. Search and optimization by metaheuristics. Montreal: Springer, 2016.
[24] O B Haddad.Advanced optimization by nature-inspired algorithms. Singapore: Springer, 2018.
[25] IEEE Recommended Practices and Requirement for Harmonic Control on Electric Power System. IEEE Std. 519-2014, 2014-06-11, doi: 10.1109/IEEESTD. 2014.6826459.

Adaptive Observer for Dynamic Voltage Restorer with Optimized Proportional Integral Gains^*

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