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Experimental Validation and Performance Analysis of a DER-Supported DVSI-Based DSTATCOM in Three-Phase Three-Wire Distribution System

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Smart Technologies for Power and Green Energy

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 443))

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Abstract

This paper demonstrates the control and operation of dual voltage source inverter (DVSI)-based distribution static compensator (DSTATCOM) in a three-phase three-wire distribution system. In this paper, a neural network-based control algorithm known as the Sparse Least Mean Square (SLMS) technique is employed to enhance the power quality (PQ) of the system. The proposed topology is built using a two-level two-voltage source inverter (VSI), where one inverter is marked as VSI-1 supported by distributed energy resource (DER) DC link. The other one is represented as VSI-2 supplied by self-supported capacitor DC link. The proposed system automatically senses the DER power generation and performs multi-operation such as PQ as well as optimal active power flow. The observations of the DVSI and VSI are carried out using an FPGA SPARTAN-6 controller-based experimental setup where the solutions are taken into consideration of the permissible standard grid code.

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References

  1. T. Meng, Z. Lin, Y. Wan, Y.A. Shamash, State-of-charge balancing for battery energy storage systems in DC microgrids by distributed adaptive power distribution. IEEE Contr. Syst. Lett. 6, 512–517 (2022). https://doi.org/10.1109/LCSYS.2021.3082103

    Article  Google Scholar 

  2. A.F. Zobaa, Optimal multiobjective design of hybrid active power filters considering a distorted environment. IEEE Trans. Industr. Electron. 61(1), 107–114 (2014 Jan)

    Google Scholar 

  3. M.V. Kumar, Manoj, M.K. Mishra, C. Kumar, A grid-connected dual voltage source inverter with power quality improvement features. IEEE Trans. Sustain. Energy 6(2) 482–490 (2015 Apr)

    Google Scholar 

  4. M. Mangaraj, J. Sabat, MVSI and AVSI-supported DSTATCOM for PQ analysis. IETE J. Res. (2021). https://doi.org/10.1080/03772063.2021.1920850

  5. A.D. Kiadehi, K.E.K. Drissi, C. Pasquier, Voltage THD reduction for dual-inverter fed open-end load with isolated DC sources. IEEE Trans. Industr. Electron. 64(3), 2102–2111 (2017 Mar)

    Google Scholar 

  6. K. Chen, M. Hsieh, Generalized minimum common-mode voltage PWM for two-level multiphase VSIs considering reference order. IEEE Trans. Power Electron. 32(8), 6493–6509 (2017). https://doi.org/10.1109/TPEL.2016.2615111,Aug

    Article  Google Scholar 

  7. S. Srinivas, J. Kalaiselvi, Pulse width modulation schemes enabling single DC power source driven dual two-level voltage source inverter with single voltage source inverter switching. IET Power Electron. 7(5), 1181–1191 (2014 May)

    Google Scholar 

  8. A.K. Panda, M. Mangaraj, DSTATCOM employing hybrid neural network control technique for power quality improvement. IET Power Electron. 10(4), 480–489 (2017 Mar)

    Google Scholar 

  9. M. Mangaraj, A.K. Panda, Modeling and simulation of KHLMS algorithm-based DSTATCOM. IET Power Electron. 12(9), 2304 – 2311 (2019 Aug)

    Google Scholar 

  10. M. Mangaraj, A.K. Panda, NBP-based icosϕ control strategy for DSTATCOM. IET Power Electron. 10(12), 1617 Sparse LMS algorithm for two-level DSTATCOM 1625 (2017 Oct)

    Google Scholar 

  11. J. Sabat, M. Mangaraj, GLMS control strategy based DSTATCOM for PQ enhancement: modeling and comparative analysis. Energy Syst. (2021). https://doi.org/10.1007/s12667-021-00489-x

    Article  Google Scholar 

  12. M. Mangaraj, A.K. Panda, Sparse LMS algorithm for two-level DSTATCOM. IET Gener. Transm. Distrib. 15, 86–96 (2021). https://doi.org/10.1049/gtd2.12014

    Article  Google Scholar 

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Acknowledgements

The authors would like to thank the Department of Science and Technology, SERB, India, for supporting this work under start-up research grant (SERB/F/8504/2019-2020).

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Correspondence to Jogeswara Sabat .

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Mangaraj, M., Sabat, J. (2023). Experimental Validation and Performance Analysis of a DER-Supported DVSI-Based DSTATCOM in Three-Phase Three-Wire Distribution System. In: Dash, R.N., Rathore, A.K., Khadkikar, V., Patel, R., Debnath, M. (eds) Smart Technologies for Power and Green Energy. Lecture Notes in Networks and Systems, vol 443. Springer, Singapore. https://doi.org/10.1007/978-981-19-2764-5_30

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  • DOI: https://doi.org/10.1007/978-981-19-2764-5_30

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-2763-8

  • Online ISBN: 978-981-19-2764-5

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