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Simulation of Reduced Rating Dynamic Voltage Restorer using SRF–ANFIS Controller

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Abstract

Power Quality (PQ) and reliability in distribution system have been appealing to a greater extend in modern era and also have become an area of concern for current industrial and commercial applications. This paper examines the problem of voltage sag and swells and also deals with the improved design of Dynamic Voltage Restorer (DVR) for PQ enhancement. A novel control algorithm Synchronous Reference Frame (SRF) theory with Adaptive Neuro-Fuzzy Inference System (ANFIS) controller is proposed for the creation of reference DVR voltages. In addition, different voltage injection schemes are analyzed to focus on novel method for the design of Reduced Rating DVR (RRDVR) to improve its performance in terms of output power, cost and size. The proposed DVR is demonstrated for PQ problems sag and swell using MATLAB/SIMULINK. During compensation, the output power attained from the proposed DVR is also compared with other intelligent controllers, namely Fuzzy Logic (FL) and ANFIS controller. Simulation results proved that the proposed SRF–ANFIS controller-based RRDVR offers economic solution for both utilities and customers by providing extremely deep compensation for voltage-based PQ problems occurring at very short duration of time.

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References

  1. Bollen, M.H.J.: Understanding Power Quality Problems. IEEE, Piscataway (2010)

    Google Scholar 

  2. Kanirajan, P., Suresh Kumar, V.: Wavelet-based power quality disturbances detection and classification using RBFNN and fuzzy logic. Int. J. Fuzzy Syst. 4(17), 623–634 (2015)

    Article  Google Scholar 

  3. Edomah, N.: Effects of voltage sags, swell and other disturbances on electrical equipment and their economic implications. In: The 20th International Conference on Electricity Distribution, Prague, vol. 8, no. 11, pp. 1–4 (2009)

  4. Martinez, J.A., Arnedo, J.M.: Voltage sag studies in distribution networks-part I: system modeling. IEEE Trans. Power Deliv. 21(3), 338–345 (2006)

    Google Scholar 

  5. Sadigh, A.K., Smedley, K.M.: Fast and precise voltage sag detection method for dynamic voltage restorer application. Electr. Power Syst. Res. 130, 192–207 (2016)

    Article  Google Scholar 

  6. Abdollahzadeh, H., Jazaeri, M., Tavighi, A.: A new fast-converged estimation approach for dynamic voltage restorer (DVR) to compensate voltage sags in waveform distortion conditions. Int. J. Electr. Power Energy Syst. 54, 598–609 (2014)

    Article  Google Scholar 

  7. Mansoor, M., Mariun, N., Toudeshki, A., Wahab, N.I.A., Mian, A.U., Hojabri, M.: Innovating problem solving in power quality devices: a survey based on dynamic voltage restorer case. Renew. Sustain. Energy Rev. 70, 1207–1216 (2017)

    Article  Google Scholar 

  8. Babaei, E., Kangarlu, M.F.: Sensitive load voltage compensation against voltage sags/swells and harmonics in the grid voltage and limit downstream fault currents using DVR. Electr. Power Syst. Res. 83(1), 80–90 (2012)

    Article  Google Scholar 

  9. Shi, J., Tang, Y.J., Yang, K., Chen, L., Ren, L., Li, J.D., Cheng, S.J.: SMES based dynamic voltage restorer for voltage fluctuations compensation. IEEE Trans. Appl. Supercond. 20, 3120–3130 (2010)

    Google Scholar 

  10. Goharrizi, A.Y., Hosseini, S.H., Sabahi, M., Gharehpetian, B.: Three-phase HFL-DVR with independently controlled phases. IEEE Trans. Power Electron. 27, 1706–1718 (2012)

    Article  Google Scholar 

  11. Ghosh, H., Saha, P.K., Panda, G.K.: Design and simulation of a novel self supported dynamic voltage restorer for power quality improvement. Int. J. Elect. Power Energy Syst. 3(6), 2229–5518 (2012)

    Google Scholar 

  12. Vidhya, D.S., Venkatesan, T., Kanagaraj, N.: Fuzzy logic controller for variable boost function in quasi Z source indirect matrix converter during voltage sag condition. Int. J. Fuzzy Syst. 4(19), 1093–1103 (2017)

    Article  Google Scholar 

  13. Moradlou, M., Karshenas, H.R.: Design strategy for optimum rating selection of interline DVR. In: IEEE Transaction on Review of Voltage Compensation Methods in Dynamic Voltage Restorer (DVR). IEEE Power and Energy Society General Meeting, pp. 1–8 (2012)

  14. Mahdianpoor, F.M., Hooshmand, R.A., Atae, M.: A new approach to multifunctional dynamic voltage restorer implementation for emergency control in distribution systems. IEEE Trans. Power Deliv. 25(4), 882–890 (2011)

    Article  Google Scholar 

  15. Ferdi, B., Benachaiba, C., Dib, S., Dehini, R.: Adaptive PI control of dynamic voltage restorer using fuzzy logic. J. Electr. Eng. 12(3), 623–645 (2010)

    Google Scholar 

  16. Rao, N.S., Priyadharson, A.S.M., Praveen, J.: Simulation of artificial intelligent controller based DVR for power quality improvement. Proc. Comput. Sci. 47, 153–167 (2015)

    Article  Google Scholar 

  17. Logeswaran, T., Senthilkumar, A., Karuppusamy, P.: Adaptive neuro-fuzzy model for grid-connected photovoltaic system. Int. J. Fuzzy Syst. 4(17), 585–594 (2015)

    Article  Google Scholar 

  18. Nabipour, M., Razaz, M., Seifossadat, S.G.H., Mortazavi, S.S.: A novel adaptive fuzzy membership function tuning algorithm for robust control of a PV-based dynamic voltage restorer (DVR). Eng. Appl. Artif. Intell. 53, 155–175 (2016)

    Article  Google Scholar 

  19. Ferdi, B., Dib, S., Berbaoui, B., Dehini, R.: Design and simulation of dynamic voltage restorer based on fuzzy controller optimized by ANFIS. Int. J. Power Electron. Drive Syst. (IJPEDS) 4(2), 212–222 (2014)

    Google Scholar 

  20. Reddy, D.C., Chandrakala, A.: Emergency control in distribution system using ANFIS based dynamic voltage restorer. Int. J. Eng. Res. Technol. (IJERT) 3(11), 175–181 (2014)

    Google Scholar 

  21. Dib, S., Ferdi, B., Benachaiba, C.: Adaptive neuro-fuzzy inference system based DVR controller design. Leonardo Electron. J. Pract. Technol. 18, 49–64 (2011), ISSN 1583-1078

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  1. Mepco Schlenk Engineering College, Sivakasi, 626005, India

    R. Bhavani & N. Rathina Prabha

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  1. R. Bhavani
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  2. N. Rathina Prabha
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Correspondence to R. Bhavani.

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Bhavani, R., Rathina Prabha, N. Simulation of Reduced Rating Dynamic Voltage Restorer using SRF–ANFIS Controller. Int. J. Fuzzy Syst. 20, 1808–1820 (2018). https://doi.org/10.1007/s40815-018-0491-6

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  • DOI: https://doi.org/10.1007/s40815-018-0491-6

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