Home Smart branch and droop controller based power quality improvement in microgrids
Article
Licensed
Unlicensed Requires Authentication

Smart branch and droop controller based power quality improvement in microgrids

  • Papia Ray and Surender Reddy Salkuti ORCID logo EMAIL logo
Published/Copyright: September 24, 2020

Abstract

This paper presents two unique smart branch controller for compensating several power quality disturbances. The first proposed intelligent branch controller comprises a series transformer with its indirectly controlled impedance by secondary voltage injection. Further, the smart controller is made adaptive and flexible. It is installed at the point of common coupling (PCC), where PCC voltage & load current can be locally acquired without the presence of a communication channel, which then tracks its references as pure sinusoidal waveforms. Therefore without any filter requirement, harmonic elimination is done by the smart branch controller. The proposed smart controller can be applied in microgrids (MGs) for multi-objective optimization of power quality (PQ). For proper elimination of harmonics and to enhance the quality of power supply, the smart branch is optimized by a droop controller, which delivers power to a constant current source and eliminates harmonics by providing an appropriate quantity of harmonic voltage to the inverter voltage. The total harmonic distortion (THD) becomes 23.06% for the voltage and 6.24% for the current with droop controller, whereas, with an only smart branch into the power network, the THD becomes 26.47% for the voltage and 12.30% for the current. The simulation result concludes that the discussed optimized smart branch-based droop controller reduces drastically THD. Also, a separate study has been performed on the improvement of PQ by second proposed smart controller called as Photovoltaic Distribution Static Compensator (PV-DSTATCOM) grid-tied system using an adaptive reweighted zero attracting (RZA) control algorithm with perturbation and by applying maximum power point tracking technique (MPPT) for a three-phase system. The converter with PV array along with an active filter feature known as PV-DSTATCOM is required to convert the DC voltage into AC and for the improvement of the PQ by limiting harmonic distortions. It is concluded from the simulation results that the use of the RZA strategy presents an excellent steady state and transient response. The proposed PV grid-tied system is capable of working round the clock for both constant and variable irradiation and linear loads. The system is termed as smart as it can perform both modes automatically sensing the PV power and is capable of multi-directional power flow. The proposed method performs dual functions of improving PQ by working as DSTATCOM and also transfers power to the load and the grid obtained from PV array.


Corresponding author: Surender Reddy Salkuti, Department of Railroad and Electrical Engineering, Woosong University, Republic of Korea, E-mail: .

Funding source: Veer Surendra Sai University of Technology

Funding source: Woosong University

Acknowledgments

This research work has been carried out based on the support of “Veer Surendra Sai University of Technology’s Academic Research Funding – (2019–2020)” and “Woosong University’s Academic Research Funding – (2019–2020)”.

  1. Author contribution: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

  2. Research funding: This research work has been carried out based on the support of Veer Surendra Sai University of Technology and Woosong University.

  3. Conflict of interest statement: The authors declare no conflicts of interest regarding this article.

References

1. Lavanya, V, Kumar, NS. A review: control strategies for power quality improvement in microgrid. Int J Renew Energy Res 2018;8:150–65.Search in Google Scholar

2. Zhong, QC. Harmonic droop controller to reduce the voltage harmonics of inverters. IEEE Trans Ind Electron 2013;60:936–45. https://doi.org/10.1109/tie.2012.2189542.Search in Google Scholar

3. Obara, S, Morel, J. Clean energy microgrids. United Kingdom, London: IET Press; 2017.10.1049/PBPO090ESearch in Google Scholar

4. Chowdhury, S, Chowdhury, SP, Crossley, P. Microgrids and active distribution networks. IET Renewable Energy Series. United Kingdom: The Institution of Engineering and Technology; 2009.10.1049/PBRN006ESearch in Google Scholar

5. Yazdi, F, Hosseinian, SH. A novel "Smart Branch" for power quality improvement in microgrids. Int J Electr Power Energy Syst 2019;110:161–70. https://doi.org/10.1016/j.ijepes.2019.02.026.Search in Google Scholar

6. Che, L, Shahidehpour, M, Alabdulwahab, A, Al-Turki, Y. Hierarchical coordination of a community microgrid with AC and DC microgrids. IEEE Trans Smart Grid 2015;6:3042–51. https://doi.org/10.1109/tsg.2015.2398853.Search in Google Scholar

7. Bacha, S, Picault, D, Burger, B, Otadui, IE, Martins, J. Photovoltaics in microgrids: an overview of grid integration and energy management aspects. IEEE Ind Electron Mag 2015;9:33–46. https://doi.org/10.1109/mie.2014.2366499.Search in Google Scholar

8. Palizban, O, Kauhaniemi, K. Hierarchical control structure in microgrids with distributed generation: island and grid-connected mode. Renew Sustain Energy Rev 2015;44:797–813. https://doi.org/10.1016/j.rser.2015.01.008.Search in Google Scholar

9. Vandoorn, TL, Kooning, JDMD, Meersman, B, Vandevelde, L. Review of primary control strategies for islanded microgrids with power-electronic interfaces. Renew Sustain Energy Rev 2013;19:613–28. https://doi.org/10.1016/j.rser.2012.11.062.Search in Google Scholar

10. Hornik, T, Zhong, QC. A current control strategy for voltage-source inverters in microgrids based on H∞ and repetitive control. IEEE Trans Power Electron 2011;26:943–52. https://doi.org/10.1109/tpel.2010.2089471.Search in Google Scholar

11. Yousefpoor, N, Fathi, S, Farokhnia, N, Abyaneh, HA. THD minimization applied directly on the line to line voltage of multi-level inverters. IEEE Trans Ind Electron 2012;59:373–80. https://doi.org/10.1109/tie.2011.2143373.Search in Google Scholar

12. Hashempour, MM, Lee, T, Savaghebi, M, Guerrero, JM. Real-time supervisory control for power quality improvement of multi-area microgrids. IEEE Syst J 2019;13:864–74. https://doi.org/10.1109/jsyst.2018.2823899.Search in Google Scholar

13. Logeswaran, T, Senthilkumar, A. Grid-connected photovoltaic systems power quality improvement using adaptive control strategy. Int J Bio-Inspired Comput 2017;10:188–204. https://doi.org/10.1504/ijbic.2017.086701.Search in Google Scholar

14. Karabiber, A. Controllable AC/DC integration for power quality improvement in microgrids. Adv Electr Comput Eng 2019;19:97–104. https://doi.org/10.4316/aece.2019.02013.Search in Google Scholar

15. Feng, W, Sun, K, Guan, Y, Guerrero, JM, Xiao, X. Active power quality improvement strategy for grid-connected microgrid based on hierarchical control. IEEE Trans Smart Grid 2018;9:3486–95. https://doi.org/10.1109/tsg.2016.2633298.Search in Google Scholar

16. Naderi, Y, Hosseini, SH, Zadeh, SG, Ivatloo, BM, Vasquez, JC, Guerrero, JM. An overview of power quality enhancement techniques applied to distributed generation in electrical distribution networks. Renew Sustain Energy Rev 2018;93:201–14. https://doi.org/10.1016/j.rser.2018.05.013.Search in Google Scholar

17. Thomas, D, Hoop, GD, Deblecker, O, Genikomsakis, KN, Ioakimidis, CS. An integrated tool for optimal energy scheduling and power quality improvement of a microgrid under multiple demand response schemes. Appl Energy 2020;260:1–16. https://doi.org/10.1016/j.apenergy.2019.114314.Search in Google Scholar

18. d’Hoop, G, Deblecker, O, Thomas, D. Power quality improvement of a microgrid with a demand-side-based energy management system. Open access peer-reviewed chapter, micro-grids – applications, operation, control and protection, United Kingdom: Intechopen Limited; 2019.10.5772/intechopen.83604Search in Google Scholar

19. Natesan, C, Ajithan, S.K, Palani, P, Kandhasamy, P. Survey on microgrid: power quality improvement techniques. Hindawi Publishing Corporation, ISRN Renew Energy 2014;2014:1–7. https://doi.org/10.1155/2014/342019.Search in Google Scholar

20. Shafiee, Q, Guerrero, JM, Vasquez, JC. Distributed secondary control for islanded microgrids – a novel approach. IEEE Trans Power Electron 2014;29:1018–31. https://doi.org/10.1109/tpel.2013.2259506.Search in Google Scholar

21. Chettibi, N, Mellit, A. Intelligent control strategy for a grid-connected PV/SOFC/BESS energy generation system. Energy 2018;147:239–62. https://doi.org/10.1016/j.energy.2018.01.030.10.1016/j.energy.2018.01.030Search in Google Scholar

22. Deshmukh, R, Ballal, M, Suryawanshi, H. A fuzzy logic based supervisory control for power management in multibus DC microgrid. IEEE Trans Ind Appl 2020:1. https://doi.org/10.1109/tia.2020.3012415.10.1109/TIA.2020.3012415Search in Google Scholar

23. Cao, W, Su, H, Cao, J, Sun, J, Yang, D. Improved droop control method in microgrid and its small signal stability analysis. In: 3rd International Conference on Renewable Energy Research and Applications; Milwaukee, WI, 2014:197–202 pp.10.1109/ICRERA.2014.7016556Search in Google Scholar

24. Carballo, R, Botterón, F, Oggier, G, García, G. Droop control strategy using resonant controllers to achieve resistive output impedance characteristics for UPS inverters. In: Brazilian Power Electronics Conference (COBEP), Juiz de Fora; 2017:1–6 pp.10.1109/COBEP.2017.8257415Search in Google Scholar

25. Guerrero, J, Matas, J, de Vicuna, LG, Castilla, M, Miret, J. Decentralized control for parallel operation of distributed generation inverters using resistive output impedance. IEEE Trans Ind Electron 2007;54:994–1004. https://doi.org/10.1109/tie.2007.892621.Search in Google Scholar

26. Zhong, QC, Blaabjerg, F, Guerrero, J, Hornik, T. Reduction of voltage harmonics for parallel-operated inverters equipped with a robust droop controller. IEEE Energy Conversion Congress and Exposition, Phoenix, AZ; 2011:473–8 pp.10.1109/ECCE.2011.6063807Search in Google Scholar

27. Mammula, V, Rao, AA. A novel control strategy for power quality improvement using ANN technique for microgrid. Int J Eng Res Dev 2014;10:1–13.Search in Google Scholar

28. Luo, A, Xu, Q, Ma, F, Chen, Y. Overview of power quality analysis and control technology for the smart grid. J Mod Power Syst Clean Energy 2016;4:1–9. https://doi.org/10.1007/s40565-016-0185-8.Search in Google Scholar

29. Khadem, S, Basu, M, Conlon, M. UPQC for power quality improvement in DG integrated smart grid network: a review. Int J Emerg Electr Power Syst 2012;13. https://doi.org/10.1515/1553-779x.2878.Search in Google Scholar

30. Hosseini, YNSH, Zadeh, SG, Ivatlo, BM, Vasquez, JC, Guerrero, JM. Distributed power quality improvement in residential microgrids. In: 10th International Conference on Electrical and Electronics Engineering, Bursa; 2017:90–4 pp.Search in Google Scholar

31. Ratnam, DV, Pasha, A, Swathi, P, Rao, MVG. Acquisition of GPS L1 Signals using cooley-tukey FFT algorithm. In: IEEE International Conference on Signal Processing, Computing and Control (ISPCC). Solan, Sep. 2013:261–84 pp.10.1109/ISPCC.2013.6663397Search in Google Scholar

32. Cooley, JW, Tukey, JW. An algorithm for the machine calculation of complex Fourier series. Math Comput 1965;19:297–301. https://doi.org/10.1090/s0025-5718-1965-0178586-1.Search in Google Scholar

33. Ray, P. Power system low-frequency oscillation mode estimation using wide-area measurement systems. Int J Eng Sci Technol 2017;20:598–615. https://doi.org/10.1016/j.jestch.2016.11.019.Search in Google Scholar

34. Singh, A, Patne, N, Kale, V. Adaptive distance protection setting in presence of mid-point STATCOM using synchronized measurement. Int J Electr Power Energy Syst 2015;67:252–60. https://doi.org/10.1016/j.ijepes.2014.11.032.Search in Google Scholar

35. Singh, A, Patne, N, Kale, V. Synchronized measurement-based an adaptive distance relaying scheme for STATCOM compensated transmission line. Measurement 2018;116:96–105. https://doi.org/10.1016/j.measurement.2017.11.005.Search in Google Scholar

36. Singh, A, Patne, N, Kale, V, Khadke, P. Digital impedance pilot relaying scheme for STATCOM compensated TL for fault phase classification with fault location. IET Gener Transm Distrib 2017;11:2586–98. https://doi.org/10.1049/iet-gtd.2016.1670.Search in Google Scholar

37. Hiyama, T, Suzuki, N, Funakoshi, T. On-line identification of power system oscillation modes by using real-time FFT. IEEE Power Engineering Society Winter Meeting; Singapore, 2000;2:1521–6 pp.10.1541/ieejpes1990.120.2_134Search in Google Scholar

Received: 2020-05-04
Accepted: 2020-09-11
Published Online: 2020-09-24

© 2020 Walter de Gruyter GmbH, Berlin/Boston

Downloaded on 11.9.2025 from https://www.degruyterbrill.com/document/doi/10.1515/ijeeps-2020-0094/html
Scroll to top button