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Shunt Active Power Filter Employing Robust Extended Complex Kalman Filter based Linear Quadratic Regulator Control Strategy for Power Quality Enhancement

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In this paper, a new reference current generation method is proposed for effective harmonics mitigation and reactive power compensation of three-phase shunt active power filter (SAPF) under grid perturbations. The proposed reference technique is specified as a self-regulator of dc-capacitor voltage. In operation, the proposed algorithm estimates the source reference current rapidly and adaptively through power system disruptions arising at source as well as load sides. The proposed technique employs the Robust Extended Complex Kalman filter (RECKF) algorithm to generate reference current, which confirms in phase action of SAPF with the functional power system, without being reliant upon any phase-locked loop (PLL) elements or proportional integral (PI) controller loop. As a consequence, an economical SAPF system can be designed. More-over, a Linear Quadratic Regulator (LQR) is formulated using RECKF methodology for delivering stability and robustness in the SAPF system. The design model and efficacy of the proposed algorithm are fully studied and assessed in a laboratory prototype employing dSPACE1104 to justify feasibility. The encouraging outcomes obtained experimentally demonstrate the efficiency of the proposed approach under both steady and dynamic conditions of the power system.
Rocznik
Strony
120--128
Opis fizyczny
Bibliogr. 18 poz., rys., tab., wykr.
Twórcy
  • National Institute of Science and Technology, Berhampur, India
  • Biju Patnaik University of Technology, Parala Maharaja Engineering College Berhampur, India
Bibliografia
  • 1. Iqbal, F., Khan, M. T., and Siddiqui, A. S. (2018) Optimal placement of DG and DSTATCOM for loss reduction and voltage profile improvement. Alexandria Engineering Journal, 57 (2), 755-765.
  • 2. Patjoshi, R. K., and Mahapatra, K. (2017) High-performance unified power quality conditioner using non-linear sliding mode and new switching dynamics control strategy. IET Power Electronics, 10 (8), 863-874.
  • 3. Panigrahi, R., Subudhi, B., and Panda, P. C. (2015) A robust LQG servo control strategy of shunt active power filter for power quality enhancement. IEEE Transactions on Power Electronics, 31 (4), 2860-2869.
  • 4. Panigrahi, R., Subudhi, B., and Panda, P. C. (2014) Model predictive-based shunt active power filter with a new reference current estimation strategy. IET Power Electronics, 8 (2), 221-233.
  • 5. Patjoshi, R. K., and Mahapatra, K. (2016) High-performance unified power quality conditioner using command generator tracker-based direct adaptive control strategy. IET Power Electronics, 9 (6),1267-1278.
  • 6. Yavari, M., Edjtahed, S. H., and Taher, S. A. (2018) A non-linear controller design for UPQC in distribution systems. Alexandria engineering journal, 57 (4), 3387-3404.
  • 7. Patjoshi, R. K., and Mahapatra, K. (2016) Resistive optimization with enhanced PLL based nonlinear variable gain fuzzy hysteresis control strategy for unified power quality conditioner. International Journal of Electrical Power & Energy Systems, 83, 352-363.
  • 8. Popescu, M., Bitoleanu, A., and Suru, V. (2012)A DSP-based implementation of the pq theory in active power filtering under non ideal voltage conditions. IEEE Transactions on Industrial Informatics, 9(2), 880-889.
  • 9. Patjoshi, R. K., and Mahapatra, K. K. (2013) Performance comparison of direct and indirect current control techniques applied to a sliding mode based shunt active power filter. 2013 Annual IEEE India Conference (INDICON), 1-5.
  • 10. Kumar, R., Singh, B., Shahani, D. T., and Jain, C. (2016) Dual-tree complex wavelet transform-based control algorithm for power quality improvement in adistribution system. IEEE transactions on industrialelectronics, 64 (1), 764-772.
  • 11. Dirik, H., and Özdemir, M. (2014) New extraction method for active, reactive and individual harmonic components from distorted current signal. IET Generation, Transmission & Distribution, 8 (11),1767-1777.
  • 12. Huang, C.-H., Lee, C.-H., Shih, K.-J., and Wang, Y.-J. (2010) A robust technique for frequency estimation of distorted signals in power systems. IEEE Transactions on Instrumentation and Measurement, 59 (8), 2026-2036.
  • 13. Dash, P. K., Jena, R. K., Panda, G., and Routray, A. (2000) An extended complex Kalman filter for frequency measurement of distorted signals. IEEE Transactions on Instrumentation and Measurement, 49 (4), 746-753.14.Panigrahi, R., and Subudhi, B. (2016) Performance Enhancement of Shunt Active Power Filter H-infinity Control Strategy. IEEE Transactions on Power Electronics, 32 (4), 2622-2630.
  • 15. Panigrahi, R., Panda, P. C., and Subudhi, B. (2014) A robust extended complex Kalman filter and sliding-mode control based shunt active power filter. Electric Power Components and Systems, 42 (5), 520-532.
  • 16. Kwan, K. H., So, P. L., and Chu, Y. C. (2012) An output regulation-based unified power quality conditioner with Kalman filters. IEEE Transactions on Industrial Electronics, 59 (11), 4248-4262.
  • 17. Costanza, V., Rivadeneira, P. S., and Munera, J. A. G. (2016) Numerical treatment of the bounded-control LQR problem by updating the final phase value. IEEE Latin America Transactions,14 (6),2687-2692.
  • 18. Bhawal, C., and Pal, D. (2019) Almost Every Single-Input LQR Optimal Control Problem Admits a PD Feedback Solution. IEEE Control Systems Letters, 3 (2), 452-457.
Uwagi
PL
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-b04674cf-5fb2-4af3-b099-c76da97e7157
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