Dynamic Loss Assessment of HVAC and HVDC Transmission Systems under High-Penetration Renewable Power Integration: A Novelty Approach
Authors
Materials and Metallurgical Engineering Department, Southern Delta University, Ozoro, Nigeria (Nigeria)
Materials and Metallurgical Engineering Department, Southern Delta University, Ozoro, Nigeria (Nigeria)
Materials and Metallurgical Engineering Department, Southern Delta University, Ozoro, Nigeria (Nigeria)
Post Graduate Student, University of Cross River State, Calabar, Nigeria (Nigeria)
Article Information
DOI: 10.51244/IJRSI.2026.1303000029
Subject Category: Engineering
Volume/Issue: 13/3 | Page No: 309-321
Publication Timeline
Submitted: 2026-03-02
Accepted: 2026-03-07
Published: 2026-03-25
Abstract
The paper presents a MATLAB model based analysis and evaluation framework of the dynamic losses of HVAC and the HVDC systems in high-penetration integration of renewable power. In comparison to the conventional research, in which the conditions are assumed to remain constant or even nominal, this paper tackles the challenge of time-varying renewable generation, like PV and wind variability, and the impact of the renewable penetration level (20 to 80 percent) to the transmission loss. The MATLAB simulations represent the line and transformer losses of HVAC and HVDC line and converter losses in a 300km corridor, which carries 1000 MW base load. The significant results have revealed that the average losses experienced by the HVDC (25 MW-20 % penetrations to 17 MW-80 % penetration) HVDC systems consistently exhibited lower losses compared with HVAC systems across all penetration levels. HVAC losses (HVAC losses changes up to 53MW and 24MW at 20% and 80% penetrations) Loss variability in HVAC systems was approximately 52% higher than in HVDC systems. The study also identifies regions of operational desirability of HVDC and has provided loss composition, density heatmaps, crossover points, dynamic disturbance responses and this gives good guidance in regard to planning transmission according to prevalence of renewable. The outcomes of this study prove the efficiency, stability, and scalability of high renewable integration conditions of HVDC corridors at a greater level.
Keywords
High Voltages, Transmission Systems, Loss Assessment
Downloads
References
1. Ackermann, T. (2017). Wind power in power systems (3rd ed.). Wiley. [Google Scholar] [Crossref]
2. Adetokun, B. B., Muriithi, C. M., Ojo, J. O., & Oghorada, O. (2023). Impact assessment of increasing renewable energy penetration on voltage instability tendencies of power system buses using a QV-based index. Scientific Reports, 13(1), 9782. https://doi.org/10.1038/s41598-023-36944-4 [Google Scholar] [Crossref]
3. Arrillaga, J. (2019). High voltage direct current transmission (2nd ed.). IET. [Google Scholar] [Crossref]
4. Bollen, M. H. J. (2007). Integration of distributed generation in the power system. Wiley-IEEE Press. [Google Scholar] [Crossref]
5. Davidson, C., Dorn, J., Jain, A. K., & Shore, N. L. (2025). Power losses in LCC and VSC HVDC converter stations. In High voltage DC transmission systems (pp. 699–741). Springer. [Google Scholar] [Crossref]
6. Faruque, M., Islam, R., & Mourshed, M. (2018). Impact of renewable energy integration on transmission losses in AC networks. IEEE Transactions on Power Systems, 33(5), 5432–5441. https://doi.org/10.1109/TPWRS.2018.2805254 [Google Scholar] [Crossref]
7. Glover, J. D., Sarma, M. S., & Overbye, T. (2023). Power system analysis and design (7th ed.). Cengage Learning. [Google Scholar] [Crossref]
8. Hansen, A. D., & Cutululis, N. (2019). Break even distance for HVAC and HVDC transmission. Electric Power Systems Research, 91, 66–77. [Google Scholar] [Crossref]
9. Helseth, A. (2012). A linear optimal power flow model considering nodal distribution of losses. In Proceedings of the 9th International Conference on the European Energy Market (pp. 1–8). IEEE. [Google Scholar] [Crossref]
10. Holttinen, M., Milligan, M., Kirby, B., Acker, T., Neimane, V., & Molinski, T. (2008). Using standard deviation as a measure of increased operational reserve requirement for wind power. Wind Engineering, 32(4), 355–378. [Google Scholar] [Crossref]
11. Institute of Electrical and Electronics Engineers. (2010). IEEE standard definitions for the measurement of electric power quantities under sinusoidal, nonsinusoidal, balanced, or unbalanced conditions (IEEE Std 1459-2010). [Google Scholar] [Crossref]
12. International Electrotechnical Commission. (2020). IEC 61803:2020 – Determination of power losses in high-voltage direct current (HVDC) converter stations with line-commutated converters. [Google Scholar] [Crossref]
13. Islam, M. M., Yu, T., Giannoccaro, G., & Mi, Y. (2024). Improving reliability and stability of power systems: A review on the role of energy storage systems to enhance flexibility. IEEE Access. Advance online publication. [Google Scholar] [Crossref]
14. Jacobson, B., et al. (2023). VSC HVDC technology and applications for renewable integration. IEEE Power Electronics Magazine, 10(3), 34–46. [Google Scholar] [Crossref]
15. Kazimi, M. K., & Ali, S. (2024). Reactive power impacts on HVAC losses in renewable rich grids. IEEE Transactions on Power Delivery, 37(1), 45–52. [Google Scholar] [Crossref]
16. Khatibi, M., & Ahmed, S. (2019, June). Impact of distributed energy resources on frequency regulation of the bulk power system. [Google Scholar] [Crossref]
17. Kundur, P. (2023). Power system stability and control (2nd ed.). McGraw-Hill. [Google Scholar] [Crossref]
18. Li, C., Dai, J., Zhu, S., Guo, R., Liu, Z., Jiang, Y., & Wen, Y. (2025). Credible capacity evaluation of virtual power plants considering wind and PV uncertainties. Scientific Reports, 15(1), 41976. [Google Scholar] [Crossref]
19. https://doi.org/10.1038/s41598-025-41976-0 [Google Scholar] [Crossref]
20. Mauludin, M. S., Khairudin, M., & Asnawi, R. (2025). Optimization of a hybrid PV-wind power system for enhancing efficiency and power quality using MATLAB/Simulink simulations. Journal of Electrical Systems Architecture, 58(4). [Google Scholar] [Crossref]
21. May, T. W., Yeap, Y. M., & Ukil, A. (2016). Comparative evaluation of power loss in HVAC and HVDC transmission systems. In Proceedings of the 2016 IEEE Region 10 Conference (TENCON) (pp. 637–641). IEEE. https://doi.org/10.1109/TENCON.2016.7848496 [Google Scholar] [Crossref]
22. Olivares, F., et al. (2022). Time series analysis of transmission losses in renewable environments. Energy Conversion and Management, 256, 115335. [Google Scholar] [Crossref]
23. Rahman, M. M., Dadon, S. H., He, M., Giesselmann, M., & Hasan, M. M. (2024). An overview of power system flexibility: High renewable energy penetration scenarios. Energies, 17(24), 6393. [Google Scholar] [Crossref]
24. https://doi.org/10.3390/en17246393 [Google Scholar] [Crossref]
25. Ramachandran, S., & McCalley, J. D. (2024). Dynamic loss assessment under renewable variability. IEEE Transactions on Sustainable Energy, 15(5), 703–713. [Google Scholar] [Crossref]
26. Saadat, H. (2018). Power system analysis (4th ed.). McGraw-Hill. [Google Scholar] [Crossref]
27. Sajadi, L., Strezoski, R., Kolacinski, R., & Loparo, K. (2020, January). Transmission system planning for integration of renewable electricity generation units. [Google Scholar] [Crossref]
28. Singh, D., & Jain, M. (2022). HVDC converter loss modeling and control for renewable penetration. International Journal of Electrical Power & Energy Systems, 134, 107403. [Google Scholar] [Crossref]
29. Slimene, M., & Khlifi, M. A. (2025). A hybrid renewable energy system with advanced control strategies for improved grid stability and power quality. Scientific Reports, 15, 23445. [Google Scholar] [Crossref]
30. https://doi.org/10.1038/s41598-025-06091-w [Google Scholar] [Crossref]
31. Teferi, T. G., Tella, T. G., & Hampannavar, S. (2024). Impact of large-scale renewable energy integration on the grid voltage stability. Results in Engineering, 23, 102398. https://doi.org/10.1016/j.rineng.2024.102398 [Google Scholar] [Crossref]
32. Varma, R. K. (2017). HVDC transmission for renewable energy integration. IEEE Power & Energy Magazine, 15(6), 34–44. [Google Scholar] [Crossref]
33. Wang, Y., & Strunz, K. (2020). HVAC vs. HVDC transmission losses and economic evaluation for bulk power transfer. Energy Reports, 6, 1116–1128. https://doi.org/10.1016/j.egyr.2020.05.007 [Google Scholar] [Crossref]
34. Zdiri, M. A. (2025). Impact assessment of photovoltaic and wind energy integration on low voltage distribution networks in Tunisia. Scientific Reports, 15, 10594. https://doi.org/10.1038/s41598-025-93488-2 [Google Scholar] [Crossref]
Metrics
Views & Downloads
Similar Articles
- An Adaptive Joint Filtering Approach to Wireless Relay Network for Transmission Rate Maximization
- IoT-Integrated Mercury Substance Detection System for Cosmetic Product Safety
- Design and Implementation of Solar PV-Based Railway Microgrid for Linke Hofmann Busch Coaches
- Cost Control Techniques on Civil Engineering Projects in Oyo State, Nigeria
- Strength and Predictive Modeling of Corn Cob Ash Blended Concrete Using Multi-Output Artificial Neural Network Approach