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A simple network reduction technique for large autonomous microgrids incorporating an efficient reactive power sharing

  • Anitha Daniel ORCID logo EMAIL logo and Suchitra Dayalan ORCID logo
Published/Copyright: May 26, 2021
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International Journal of Emerging Electric Power Systems
From the journal International Journal of Emerging Electric Power Systems Volume 23 Issue 2

Abstract

Reactive power sharing continues to be a challenge for an autonomous Microgrid (MG) since reactive power sharing is largely affected by the mismatch in line impedance and the asymmetry of local loads. Several reactive power sharing methods have been proposed in an autonomous MG but their effectiveness on large MG systems has not been explored much. This paper considers a standard IEEE 38 bus autonomous MG to study the effectiveness of proportionate power sharing. A simple network reduction technique has been proposed to obtain an equivalent reduced MG for which a reactive power sharing technique is applied. The most feasible method has been analyzed and the communication based reactive power sharing along with droop controller is proved to be the popular and most generalized strategy for effective power sharing. MATLAB-Simulink tool is used to validate the power sharing with equal and unequal DG ratings in a standard IEEE 38 bus autonomous MG system with network reduction.

Keywords: IEEE 38 bus system; large autonomous MG; network reduction; reactive power sharing
Corresponding author: Anitha Daniel, Electrical and Electronics Engineering, SRM Institute of Science and Technology, Kattankulathur 603203, India, E-mail:

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

  2. Research funding: None declared.

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

Appendix

Parameters for IEEE 38 bus system

Start bus End bus Line impedance (p. u.) Line number Load on to bus (p. u.)
R X P Q
1 2 0.000574 0.000293 1 0.1 0.06
2 3 0.00307 0.001564 6 0.09 0.04
3 4 0.002279 0.001161 11 0.12 0.08
4 5 0.002373 0.001209 12 0.06 0.03
5 6 0.0051 0.004402 13 0.06 0.02
6 7 0.001166 0.003853 22 0.2 0.1
7 8 0.00443 0.001464 23 0.2 0.1
8 9 0.006413 0.004608 25 0.06 0.02
9 10 0.006501 0.004608 27 0.06 0.02
10 11 0.001224 0.000405 28 0.04 0.03
11 12 0.002331 0.000771 29 0.06 0.035
12 13 0.009141 0.007192 31 0.06 0.035
13 14 0.003372 0.004439 32 0.12 0.08
14 15 0.00368 0.003275 33 0.06 0.01
15 16 0.004647 0.003394 34 0.06 0.02
16 17 0.008026 0.010716 35 0.06 0.02
17 18 0.004538 0.003574 36 0.09 0.04
2 19 0.001021 0.000974 2 0.09 0.04
19 20 0.009366 0.00844 3 0.09 0.04
20 21 0.00255 0.002979 4 0.09 0.04
21 22 0.004414 0.005836 5 0.09 0.04
3 23 0.002809 0.00192 7 0.09 0.05
23 24 0.005592 0.004415 8 0.42 0.2
24 25 0.005579 0.004366 9 0.42 0.2
6 26 0.001264 0.000644 14 0.06 0.025
26 27 0.00177 0.000901 15 0.06 0.025
27 28 0.006594 0.005814 16 0.06 0.02
28 29 0.005007 0.004362 17 0.12 0.07
29 30 0.00316 0.00161 18 0.2 0.6
30 31 0.006067 0.005996 19 0.15 0.07
31 32 0.001933 0.002253 20 0.21 0.1
32 33 0.002123 0.003301 21 0.06 0.04
8 34 0.012453 0.012453 24 0 0
9 35 0.012453 0.012453 26 0 0
12 36 0.012453 0.012453 30 0 0
18 37 0.003113 0.003113 37 0 0
25 38 0.003113 0.002513 10 0 0

References

1. Han, Y, Li, H, Shen, P, Coelho, EAA, Guerrero, JM. Review of active and reactive power sharing strategies in hierarchical controlled microgrids. IEEE Trans Power Electron 2017;32:2427–51. https://doi.org/10.1109/tpel.2016.2569597.Search in Google Scholar

2. Gupta, Y, Chatterjee, K, Doolla, S. A simple control scheme for improving reactive power sharing in islanded microgrid. IEEE Trans Power Syst 2020;35:3158–69. https://doi.org/10.1109/tpwrs.2020.2970476.Search in Google Scholar

3. Zhu, Y, Zhuo, F, Wang, F, Liu, B, Gou, R, Zhao, Y. A virtual impedance optimization method for reactive power sharing in networked microgrid. IEEE Trans Power Electron 2016;31:2890–904. https://doi.org/10.1109/tpel.2015.2450360.Search in Google Scholar

4. Zandi, F, Fani, B, Sadeghkhani, I, Orakzadeh, A. Adaptive complex virtual impedance control scheme for accurate reactive power sharing of inverter interfaced autonomous microgrids. IET Gener, Transm Distrib 2018;12:6021–32. https://doi.org/10.1049/iet-gtd.2018.5123.Search in Google Scholar

5. Zhu, Y, Fan, Q, Liu, B, Wang, T. An enhanced virtual impedance optimization method for reactive power sharing in microgrids. IEEE Trans Power Electron 2018;33:10390–402. https://doi.org/10.1109/tpel.2018.2810249.Search in Google Scholar

6. Eajal, AA, Yazdavar, AH, El-Saadany, EF, Salama, MMA. Optimizing the droop characteristics of AC/DC hybrid microgrids for precise power sharing. IEEE Syst J 2021;15:560–9. https://doi.org/10.1109/JSYST.2020.2984623.Search in Google Scholar

7. Zhu, Y, Zhuo, F, Wang, F, Liu, B, Zhao, Y. A wireless load sharing strategy for islanded microgrid based on feeder current sensing. IEEE Trans Power Electron 2015;30:6706–19. https://doi.org/10.1109/tpel.2014.2386851.Search in Google Scholar

8. Sun, X, Hao, Y, Wu, Q, Guo, X, Wang, B. A multifunctional and wireless droop control for distributed energy storage units in islanded AC microgrid applications. IEEE Trans Power Electron 2017;32:736–51. https://doi.org/10.1109/tpel.2016.2531379.Search in Google Scholar

9. Sellamna, H, Massi Pavan, A, Mellit, A, Guerrero, JM. An iterative adaptive virtual impedance loop for reactive power sharing in islanded meshed microgrids. Sustain Energy Grids Network 2020;24:1–11. https://doi.org/10.1016/j.segan.2020.100395.Search in Google Scholar

10. Thi Pham, XH. Power sharing strategy in islanded microgrids using improved droop control. Elec Power Syst Res 2020;180:1–16.10.1016/j.epsr.2019.106164Search in Google Scholar

11. Mahmood, H, Michaelson, D, Jiang, J. Reactive power sharing in islanded microgrids using adaptive voltage droop control. IEEE Trans Smart Grid 2015;6:3052–60. https://doi.org/10.1109/tsg.2015.2399232.Search in Google Scholar

12. Han, H, Liu, Y, Sun, Y, Su, M, Guerrero, JM. An improved droop control strategy for reactive power sharing in islanded microgrid. IEEE Trans Power Electron 2015;30:3133–41. https://doi.org/10.1109/tpel.2014.2332181.Search in Google Scholar

13. Pham, M-D, Lee, H-H. Effective coordinated virtual impedance control for accurate power sharing in islanded microgrid. IEEE Trans Ind Electron 2021;68:2279–88. https://doi.org/10.1109/tie.2020.2972441.Search in Google Scholar

14. Hoang, TV, Lee, H. An adaptive virtual impedance control scheme to eliminate the reactive-power-sharing errors in an islanding meshed microgrid. IEEE J Emerg Sel Top Power Electron 2018;6:966–76. https://doi.org/10.1109/jestpe.2017.2760631.Search in Google Scholar

15. Hoang, TV, Nguyen, TD, Lee, H. Adaptive virtual impedance control scheme to eliminate reactive power sharing errors in islanded microgrid. In: 2016 IEEE international conference on sustainable energy technologies (ICSET). IEEE, Hanoi, Vietnam; 2016:224–9 pp.10.1109/ICSET.2016.7811786Search in Google Scholar

16. Ma, J, Wang, X, Liu, J, Gao, H. An improved droop control method for voltage-source inverter parallel systems considering line impedance differences. Energies 2019;12:1158. https://doi.org/10.3390/en12061158.Search in Google Scholar

17. Kim, S, Hyon, S, Kim, C. Distributed virtual negative-sequence impedance control for accurate imbalance power sharing in islanded microgrids. Sustain Energy Grids Network 2018;16:28–36. https://doi.org/10.1016/j.segan.2018.04.001.Search in Google Scholar

18. Macana, CA, Mojica-Nava, E, Pota, HR, Guerrero, J, Vasquez, JC. Accurate proportional power sharing with minimum communication requirements for inverter-based islanded microgrids. Int J Electr Power Energy Syst 2020;121:106036.https://doi.org/10.1016/j.ijepes.2020.106036.Search in Google Scholar

19. Singh, D, Misra, RK, Singh, D. Effect of load models in distributed generation planning. IEEE Trans Power Syst 2007;22:2204–12. https://doi.org/10.1109/tpwrs.2007.907582.Search in Google Scholar

20. Mumtaz, F, Syed, MH, Hosani, MA, Zeineldin, HH. A novel approach to solve power flow for islanded microgrids using modified Newton raphson with droop control of DG. IEEE Trans Sustain Energy 2016;7:493–503. https://doi.org/10.1109/tste.2015.2502482.Search in Google Scholar

21. Rama Prabha, D, Jayabarathi, T. Optimal placement and sizing of multiple distributed generating units in distribution networks by invasive weed optimization algorithm. Ain Shams Eng J 2016;7:683–94. https://doi.org/10.1016/j.asej.2015.05.014.Search in Google Scholar
Received: 2021-02-27
Accepted: 2021-05-12
Published Online: 2021-05-26

© 2021 Walter de Gruyter GmbH, Berlin/Boston

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  2. Research Articles
  3. Solving realistic reactive power market clearing problem of wind-thermal power system with system security
  4. A novel methodology for power loss allocation of both passive and active power distribution systems
  5. A simple network reduction technique for large autonomous microgrids incorporating an efficient reactive power sharing
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  10. Evaluating the impact of Khanh Son power plant on Danang Distribution Network
  11. Fast valving automation setting using HRTSim
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https://doi.org/10.1515/ijeeps-2021-0122
Keywords for this article
IEEE 38 bus system; large autonomous MG; network reduction; reactive power sharing

Articles in the same Issue

  1. Frontmatter
  2. Research Articles
  3. Solving realistic reactive power market clearing problem of wind-thermal power system with system security
  4. A novel methodology for power loss allocation of both passive and active power distribution systems
  5. A simple network reduction technique for large autonomous microgrids incorporating an efficient reactive power sharing
  6. An adaptive, observer-based switching method for B4 inverters feeding three-phase induction motors
  7. Analysis and evaluation of two short-term load forecasting techniques
  8. Power quality improvement in a photovoltaic based microgrid integrated network using multilevel inverter
  9. Comparison between flexible AC transmission systems (FACTs) and filters regarding renewable energy systems harmonics mitigation
  10. Evaluating the impact of Khanh Son power plant on Danang Distribution Network
  11. Fast valving automation setting using HRTSim
  12. Mathematical modeling of polymer dielectric strength considering filling concentration
  13. Special action on high quality development of renewable energy in Northeast China: market implementation initiatives and suggestions
  14. Coordinated power management and control of renewable energy sources based smart grid
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