Improving Power Quality in a Nigerian Distribution Feeder Using PV- D-STATCOM: Modeling and Simulation in DIgSILENT PowerFactory

Authors

  • F. P. Gbigbidje Department of Electrical/Electronic Engineering, Delta State University, Abraka, Oleh Campus, Delta State, Nigeria.
  • E. U. Ubeku Department of Electrical/Electronic Engineering, Delta State University, Abraka, Oleh Campus, Delta State, Nigeria.
  • R. A. Omughele Department of Electrical/Electronic Engineering, Delta State University, Abraka, Oleh Campus, Delta State, Nigeria.
  • J. O. Olomo Department of Electrical/Electronic Engineering, Delta State University, Abraka, Oleh Campus, Delta State, Nigeria.
  • J. O. Alele Department of Electrical/Electronic Engineering, Delta State University, Abraka, Oleh Campus, Delta State, Nigeria.

DOI:

https://doi.org/10.63746/njtd.v23i1.4109

Keywords:

PV D-STATCOM, Voltage stability, Power loss reduction, DIgSILENT Powerfactory, Nigerian distribution network

Abstract

ABSTRACT
This study investigates the integration of photovoltaic-based Distribution Static Compensators (PV D-STATCOMs) to improve voltage stability, reduce losses, and mitigate harmonics in an 11 kV distribution feeder in Ughelli, Nigeria, operated by the Benin Electricity Distribution Company (BEDC). The feeder was modeled in DIgSILENT PowerFactory using actual network data under normal, medium, and heavy loading, as well as dynamic and harmonic conditions. The PV D-STATCOM was configured to supply active power while providing dynamic reactive power support in response to varying loads. Results showed that the minimum voltage under heavy loading improved from 0.637 p.u. to 0.992 p.u., while real power losses decreased by up to 91.4%. Total Harmonic Distortion (THD) at critical nodes reduced from 19.9% to about 12.5%. During sudden load increases of up to 700%, the compensators maintained voltages close to 1.0 p.u., demonstrating strong dynamic voltage support. The study confirms that PV inverters can perform dual functions, delivering renewable energy and providing grid support. The integration of PV D-STATCOM offers a cost-effective solution to enhance voltage stability, reduce technical losses, and improve power quality in Nigerian distribution networks. These results indicate that PV D-STATCOMs can complement existing grid infrastructure, contributing to improved reliability and resilience in developing country power systems.

References

Amin, A.; S. Kamel; A. Selim and L. Nasrat. (2019). Optimal placement of distribution static compensators in radial distribution systems using hybrid analytical-coyote optimization technique. IEEE 21st International Middle East Power Systems Conference (MEPCON), pp. 1–9. https://doi.org/10.1109/MEPCON47431.2019.9007924.

Elsayed, A. M.; M. Mishref and S. M. Farrag. (2019). Optimal allocation and control of fixed and switched capacitor banks on distribution systems using Grasshopper Optimisation Algorithm with power loss sensitivity and rough set theory. IET Generation, Transmission & Distribution, 13(17), 3863–3878. https://doi.org/10.1049/iet-gtd.2018.5494.

Gangil, G.; S. K. Goyal; A. Saraswat; A. Soni and M. Srivastava. (2021). Power quality improvement using DSTATCOM in distribution network. International Conference on Control, Automation, Power and Signal Process (CAPS), pp. 1–6. https://doi.org/10.1109/CAPS52117.2021.9730717

Grainger, J. J. and Stevenson, W. D. (1994). Power System Analysis. New York: McGraw-Hill.

Grover-Silva, E.; R. Girard and G. Kariniotakis. (2018). Optimal sizing and placement of distribution grid-connected battery systems through an SOCP optimal power flow algorithm. Applied Energy, 219, 385–393. https://doi.org/10.1016/j.apenergy.2017.09.008.

Idrus, F.; I. Musirin; M. Kamari; A. Rahim; A. V. Kumar; M. H. Mansor; M. M. Othman and M. H. Hussain. (2022). Integrated multi-verse evolutionary programming and evolutionary programming-based techniques for optimal placement of D-STATCOM installation. Mathematical Statistician and Engineering Applications, 71(3s2), 986–1001. https://philstat.org.ph.

Isha, G. and Jagatheeswari, P. (2021). Optimal allocation of DSTATCOM and PV array in distribution system employing fuzzy-lightning search algorithm. Automatika, 62(3–4), 339–352. https://doi.org/10.1080/00051144.2021.1963080.

Ismail, B.; N. I. Wahab; M. L. Othman; M. A. Radzi; K. Naidu and M. N. Naain. (2022). The optimal location and sizing of single and multiple STATCOM using analytical approaches under high loading occasion. Journal of Engineering Science and Technology, 17(6), 3973–3988. https://jestec.taylors.edu.my/Vol.

Kumar, S.; R. K. Bindal and A. Gupta. (2024). Power quality investigation of a grid-tied hybrid energy system using a D-STATCOM control and Grasshopper Optimization Technique. Results in Control and Optimization, 14, 100368. https://doi.org/10.1016/j.rico.2023.100368.

Patil, V. (2021). D-STATCOM optimal placement and sizing in the distribution system with JCF-LA approach. Journal of Computational Mechanics Power System and Control, 4(1), 8–16. https://doi.org/10.46253/jcmps.v4i1.a2.

Ramadan, A; M. Ebeed and S. Kamel. (2019). Performance assessment of a realistic Egyptian distribution network including PV penetration with DSTATCOM. IEEE International Conference on Innovative Trends in Computer Engineering (ITCE), pp. 1–6. https://doi.org/10.1109/ITCE.2019.08646473.

Shaheen, A. M.; R. A. El-Sehiemy; A. Ginidi; A. M. Elsayed and S. F. Al-Gahtani. (2023). Optimal allocation of PV-STATCOM devices in distribution systems for energy losses minimization and voltage profile improvement via Hunter-Prey-Based Algorithm. Energies, 16(6), 2790. https://doi.org/10.3390/en16062790.

Singh, M.; J. Negi and S.S. Rawat. (2021). Voltage control in distribution system with reactive power dispatch. International Journal of Engineering Research & Science (IJOER), 7(1), 5–11. https://doi.org/10.5281/zenodo.4587627.

Varma, R. K. and Siavashi, E. M. (2018). PV-STATCOM: A new smart inverter for voltage control in distribution systems. IEEE Transactions on Sustainable Energy, 9(4), 1681–1691. https://doi.org/10.1109/TSTE.2018.2808601.

Yuvaraj, T.; K. Ravi and K. Devabalaji. (2015). DSTATCOM allocation in distribution networks considering load variations using bat algorithm. Ain Shams Engineering Journal, 8(3), 391–403. https://doi.org/10.1016/j.asej.2015.08.006.

Published

2026-03-31

Similar Articles

<< < 1 2 

You may also start an advanced similarity search for this article.