Optimal Capacitor Placement in Distributed Networks Polluted with Harmonics in the Presence of Wind Energy-based Distributed Generation Sources

Document Type : Research article

Authors

1 Department of Electrical Engineering, Payam Golpayegan Institute of Higher Education, Golpayegan, Iran.

2 Department of Electrical Engineering, Faculty of Engineering, Arak University, Arak 38156-8-8349, Iran.

Abstract
In electrical distribution networks, inefficiencies and instabilities often arise from inductive loads like motors and transformers, which exhibit a lagging power factor. This reduces system capacity, increases losses, and can lead to lower voltage levels. To address these issues, integrating parallel capacitors proves effective, enhancing the power factor, improving voltage profiles, and reducing overall system losses and costs. This research explores the optimal placement of parallel capacitors within a distribution network to manage reactive power effectively, thereby minimizing losses and improving voltage stability and system efficiency. Utilizing DigSILENT Power Factory and MATLAB, a genetic algorithm optimizes the location and sizing of capacitors in a 33-bus distribution network, considering scenarios with and without distributed generation (DG) and the impact of harmonic currents. The study finds that incorrect sizing or placement of capacitors can worsen voltage deviations when higher harmonic levels are present. However, the optimization method accurately determines the best parameters for capacitor installation, ensuring compliance with voltage and harmonic constraints. Deploying more than three to four capacitors does not significantly affect outcomes, while a single busbar capacitor often fails to meet operational standards. In conclusion, strategic capacitor placement and sizing can significantly reduce losses, enhance voltage stability, and mitigate inefficiencies caused by inductive loads. Attention to harmonics is crucial to avoid negative impacts on the network. This approach offers a replicable framework for similar optimizations in other distribution systems, advancing smart grid technology implementation.

Graphical Abstract

Optimal Capacitor Placement in Distributed Networks Polluted with Harmonics in the Presence of Wind Energy-based Distributed Generation Sources

Highlights

  • Minimize losses while meeting voltage and harmonic constraints is proposed
  • Proper capacitor size and location selection to improve voltage deviations with low harmonics is suggested
  • Optimally-sized and located parallel capacitors reduce losses, improve voltage profile and stability, and address issues with inductive loads

Keywords


 

Declaration of Competing Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. The ethical issues, including plagiarism, informed consent, misconduct, data fabrication and/or falsification, double publication and/or submission, redundancy, have been completely observed by the authors.

Credit Authorship Contribution Statement

Narges Bagheri: Conceptualization,‎ Software,‎ Roles/Writing - original draft‎. Mohammad Amin Bahramian: Resources, Roles/Writing - original draft. Ali Asghar Ghadimi: Conceptualization,‎ Formal analysis,‎ Methodology,‎ Roles/Writing - ‎original draft.

Bibliography

 Narges Bagheri was born in Shahrekord, Iran, in 1988. She received her associate's degree in Electronics Engineering ‎from Khorramabad Girls' Technical and Vocational School, Lorestan, Iran, in 2007, her bachelor's degree ‎in Electronics Engineering from Shahrekord Islamic Azad University, Shahrekord, Iran, in 2011, and her ‎master's degree in Power Systems Engineering from Payam Golpayegan Institute of Higher Education, ‎Golpayegan, Iran, in 2017. She is currently working as a building electrical supervisor engineer in the ‎Construction Engineering Organization of Chaharmahal-o-Bakhtiari province. Her special interests are ‎operation, energy management, renewable energy and stability of power systems.‎

Mohammad Amin Bahramian received a B.Sc. degree in electrical ‎engineering from Arak University, Arak, Iran, in 2020. He is now ‎an ‎M.Sc. graduate in electrical engineering from Arak University, having completed his degree in 2022. He ‎also is currently employed at "Camellia Electronics Industry Innovators," where he contributes to the ‎field of power electronics, specializing in DC-DC converters and LED drivers. His ‎research interests ‎include Power Converters, Renewable Energy Systems, Smart Grid Technologies and Digital Control ‎Systems.

 Ali Asghar Ghadimi received his M.Sc. and Ph.D. degree in Power Engineering from Tehran Polytechnich University, ‎Tehran, Iran in 2002 and 2008 respectively. He is currently Associate Professor and research ‎member in Department of Electrical Engineering at Arak University, Arak, IRAN. His current ‎research interests are in the area of MicroGrid, Renewable Energy, and Power system optimal ‎planning.‎

Citation

N. Bagheri, M. A. Bahramian, and A. A. Ghadimi, "Optimal Capacitor Placement in Distributed Networks Polluted with Harmonics in ‎the Presence of Wind Energy-based Distributed Generation Sources," Journal of Green Energy Research and Innovation, vol. 1, no. 4, pp. 1-16, 2024.

 

  1. A. Argüello, R. Torquato, and W. Freitas, "Passive Filter Tuning for Harmonic Resonance Mitigation in Wind Parks," IEEE Transactions on Power Delivery, vol. 38, no. 6, pp. 3834-3846, 2023.
  2. A. M. Eltamaly, Y. S. Mohamed, A. -H. M. El-Sayed, and A. N. A. Elghaffar, "Analyzing of Wind Distributed Generation Configuration in Active Distribution Network," 8th International Conference on Modeling Simulation and Applied Optimization (ICMSAO), pp. 1-5, 2019.
  3. P. Catalán, Y. Wang, J. Arza, and Z. Chen, "A Comprehensive Overview of Power Converter Applied in High-Power Wind Turbine: Key Challenges and Potential Solutions," IEEE Transactions on Power Electronics, vol. 38, no. 5, pp.6169-6195, 2023.
  4. D. A. Ciupăgeanu, G. Lăzăroiu, and L. Barelli, "Wind Energy Integration: Variability Analysis and Power System Impact Assessment," Energy, vol. 185, pp.1183-1196, 2019.
  5. Y. M. Shuaib, M. S. Kalavathi, and C. C. Rajan, "Optimal Capacitor Placement in Radial Distribution System using Gravitational Search Algorithm," International Journal of Electrical Power & Energy Systems, vol. 64, pp. 384-397, 2015.
  6. S. Segura, R. Romero, and M. J. Rider, "Efficient Heuristic Algorithm Used for Optimal Capacitor Placement in Distribution Systems," International Journal of Electrical Power & Energy Systems, vol. 32, no. 1, pp. 71-78. 2010.
  7. A. A. Abou El-Ela, R. A. El-Sehiemy, A. M. Kinawy, and M. T. Mouwafi, "Optimal Capacitor Placement in Distribution Systems for Power Loss Reduction and Voltage Profile Improvement," IET Generation, Transmission & Distribution, vol. 10, no. 5, pp. 1209-1221, 2016.
  8. A. Elsheikh, Y. Helmy, Y. Abouelseoud, and A. Elsherif, "Optimal Capacitor Placement and Sizing in Radial Electric Power Systems," Alexandria Engineering Journal, vol. 53, no. 4, pp. 809-816, 2014.
  9. A. H. Etemadi, and M. Fotuhi-Firuzabad, "Distribution System Reliability Enhancement using Optimal Capacitor Placement," IET Generation, Transmission & Distribution, vol. 2, no. 5, pp. 621-631, 2008.
  10. S. Lohia, O. P. Mahela, and S. R. Ola, "Optimal Capacitor Placement in Distribution System using Genetic Algorithm," IEEE 7th Power India International Conference (PIICON), pp. 1-6, 2016.
  11. A. A. Eajal, and M. E. El-Hawary, "Optimal Capacitor Placement and Sizing in Unbalanced Distribution Systems with Harmonics Consideration Using Particle Swarm Optimization," IEEE Transactions on Power Delivery, vol. 25, no. 3, pp. 1734-1741, 2010.
  12. C. T. Su, C. F. Chang, and J. P. Chiou, "Optimal Capacitor Placement in Distribution Systems Employing Ant Colony Search Algorithm," Electric Power Components and Systems, vol. 33, no. 8, pp. 931-946, 2005.
  13. M. E. Baran, and F. F. Wu, "Optimal Capacitor Placement on Radial Distribution Systems," IEEE Transactions on Power Delivery, vol. 4, no. 1, pp. 725-734, 1989.
  14. A. Z. Abass, D. A. Pavlyuchenko, and Z. S. Hussain, "Methods Comparison for Optimal Capacitor Placement in Distribution System," International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon), pp. 1-6, 2020.
  15. Y. Xu, Z. Y. Dong, K. P. Wong, E. Liu, and B. Yue, "Optimal Capacitor Placement to Distribution Transformers for Power Loss Reduction in Radial Distribution Systems," IEEE Transactions on Power Systems, vol. 28, no. 4, pp. 4072-4079, 2013.
  16. J. Vuletić, and M. Todorovski, "Optimal Capacitor Placement In Radial Distribution Systems using Clustering Based Optimization," International Journal of Electrical Power & Energy Systems, vol. 62, no. 1, pp. 229-236, 2014.
  17. S. Sultana, and P. K. Roy, "Optimal Capacitor Placement in Radial Distribution Systems using Teaching Learning Based Optimization," International Journal of Electrical Power & Energy Systems, vol. 54, pp. 387-398, 2014.
  18. A. A. El-Fergany, "Optimal Capacitor Allocations using Evolutionary Algorithms," IET Generation, Transmission & Distribution, vol. 7, no. 6, pp. 593-601, 2013.
  19. R. S. Rao, S. V. Narasimham, and M. Ramalingaraju, "Optimal Capacitor Placement in a Radial Distribution System using Plant Growth Simulation Algorithm," International Journal of Electrical Power & Energy Systems, vol. 33, no. 5, pp. 1133-1139, 2011.
  20. A. Kazemi, and A. M. Dezfuli, "Optimal Placement of Distributed Energy Resources to Reduce Losses, Improve Voltage Profile, and Convert it into a Self-healing Smart Grid," Journal of Green Energy Research and Innovation, vol. 1, no. 1, pp. 1-33, 2024.
  21. S. D. Kermani, A. Morsagh Dezfuli, R. Behvandi, and M. Kankanan," Voltage Sag Reduction by ANFIS in Wind Turbine Generation Units," Journal of Green Energy Research and Innovation, vol. 1, no. 3, pp. 49-76, 2024.
  22. Institute of Electrical and Electronics Engineers, "IEEE Guide for Application of Shunt Power Capacitors," IEEE Std 1036-1992, 1992.
  23. B. T. Luke, "Genetic algorithms and beyond," Data Handling in Science and Technology, vol. 23, pp. 3-54, 2003.
  24. D. E. Goldberg, and K. Deb, "A Comparative Analysis of Selection Schemes Used in Genetic Algorithms," Foundations of genetic algorithms, vol. 1, pp. 69-93, 1991.
  25. S. A. Taher, M. Hasani, and A. Karimian, "A Novel Method for Optimal Capacitor Placement and Sizing in Distribution Systems with Nonlinear Loads and DG using GA," Communications in Nonlinear Science and Numerical Simulation, vol. 16, no. 4, pp. 851-862, 2011.
Volume 1, Issue 4
Autumn 2024
Pages 1-16

  • Receive Date 18 March 2024
  • Revise Date 20 April 2024
  • Accept Date 22 April 2024
  • Publish Date 01 December 2024