International Journal of Engineering and Manufacturing (IJEM)
IJEM Vol. 16, No. 5, 8 Oct. 2026
Cover page and Table of Contents: PDF (size: 1454KB)
IBSMFO-Optimized UPQC-DG Control for Harmonic Mitigation in Hybrid Renewable Microgrids
PDF (1454KB), PP.412-433
Views: 0 Downloads: 0
Author(s)
Index Terms
Distributed Generation, Power Quality enhancement, IBSMFO, MFOA, UPQC
Abstract
Distributed generation (DG) systems are increasingly integrated into modern power networks through power-electronic interfaces. However, the presence of nonlinear loads and power-electronic converters introduces harmonic distortion, which can significantly degrade power quality, particularly in three-wire systems. This study investigates harmonic mitigation in a hybrid renewable DG system incorporating solar, wind, fuel-cell-based generation, and grid-connected operation using a Unified Power Quality Conditioner (UPQC). An Improved Bat Search–Moth Flame Optimization (IBSMFO) based control strategy is proposed for optimizing the proportional-integral (PI) controller parameters of the UPQC. The IBSMFO algorithm combines the search characteristics of the Improved Bat Search Algorithm (IBSA) with the Moth Flame Optimization Algorithm (MFOA) to minimize the selected error-based objective function and enhance the dynamic performance of the compensation system. The proposed UPQC is evaluated under ideal and non-ideal source-voltage conditions with nonlinear loads. Simulation results demonstrate effective mitigation of voltage and current harmonics and improved power quality. In particular, the source-current THD is reduced to 4.03% under the operating conditions considered, while a minimum THD of 1.01% is achieved under the corresponding compensation condition. The results confirm that the proposed IBSMFO-optimized UPQC provides effective harmonic compensation and improved power quality performance in hybrid renewable DG systems.
Cite This Paper
Chapala Shravani, "IBSMFO-Optimized UPQC-DG Control for Harmonic Mitigation in Hybrid Renewable Microgrids", International Journal of Engineering and Manufacturing (IJEM), Vol.16, No.5, pp. 412-433, 2026. DOI:10.5815/ijem.2026.05.22
Reference
[1]Anagha R. Tembhurne (2015) Power Quality Improvement using Unified Power Quality Conditioner with Distributed Generation International Journal of Scientific & Engineering Research, Volume 6, Issue 7, July-2015
[2]Farid Hosein-Zdeh (2014) Power Quality Improvement in Distributed Generation Resources using UPQC, International Journal Of Renewable Energy Research Ashkan Derision et al., Vol.4, No.3, 2014
[3]V. Khadkikar, R.K. Varma, R. Seethapathy, A. Chandra, H. Zeineldin, "Impact of Distributed Generation Penetration on Grid Current Harmonics Considering Non-linear Loads", 3rd IEEE International Symposium on Power Electronics for Distributed Generation Systems (PEDG), Aalborg, 25- 28 June 2012, pp. 608 – 614
[4]Nirav D. Karelia, Vivek J. Pandya (2015) Distributed Generation and Role of UPQC – DG in Meeting Power Quality Criteria – A Review, Procedia Technology, Volume 21, pp. 520-525. DOI: 10.1016/j.protcy.2015.10.042
[5]K. Pavan Kumar (2019), Power Quality Improvement using UPQC with Distributed Generation, International Journal of Research and Analytical Reviews (IJRAR)
[6]Sarita Samal (2020) Performance Improvement of a Distributed Generation System Using Unified Power Quality Conditioner https://doi.org/10.1007/s40866-020-00095-3
[7]S. Devassy and B. Singh, ‘‘Performance analysis of solar PV array and battery integrated unified power quality conditioner for microgrid systems”, IEEE Trans. Ind. Electron., vol. 68, no. 5, pp. 4027–4035, May 2021, doi:10.1109/TIE.2020.2984439.
[8]Rao, B. V., & Kumar, G. N. (2015). Optimal power flow by BAT search algorithm for generation reallocation with unified power flow controller. International Journal of Electrical Power & Energy Systems, 68, 81-88.
[9]Oshaba, A. S., Ali, E. S., & Abd Elazim, S. M. (2015). MPPT control design of PV system supplied SRM using BAT search algorithm. Sustainable Energy, Grids and Networks, 2, 51-60.
[10]Mirjalili, S. (2015). Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm. Knowledge-based systems, 89, 228-249.
[11]Allam, D., Yousri, D. A., & Eteiba, M. B. (2016). Parameters extraction of the three diode model for the multi-crystalline solar cell/module using Moth-Flame Optimization Algorithm. Energy Conversion and Management, 123, 535-548.
[12]Y. Bouzelata, E. Kurt, R. Chenni, and N. Altın, ‘‘Design and simulation of a unified power quality conditioner fed by solar energy,’’ Int. J. Hydrogen Energy, vol. 40, no. 44, pp. 15267–15277, Nov. 2015, doi:10.1016/J.IJHYDENE.2015.02.077.
[13]A. Amirullah, O. Penangsang, and A. Soeprijanto, ‘‘MATLAB/Simulink simulation of unified power quality conditioner-battery energy storage system supplied by PV-wind hybrid using fuzzy logic controller,’’Int. J. Electr. Comput. Eng., vol. 9, no. 3, pp. 1479–1495, 2019, doi:10.11591/ijece.v9i3.pp1479-1495.
[14]Heenkenda, A., Elsanabary, A., Seyedmahmoudian, M., Mekhilef, S., Stojcevski, A., & Aziz, N. F. A. (2023). Unified Power Quality Conditioners Based Different Structural Arrangements: A Comprehensive Review. IEEE Access, 11, 43435-43457. https://doi.org/10.1109/ACCESS.2023.3269855.
[15]Srilakshmi, Koganti, Rao, Gummadi Srinivasa, Swarnasri, Katragadda, Inkollu, Sai Ram, Kondreddi, Krishnaveni, Balachandran, Praveen Kumar, Dhanamjayulu, C., Khan, Baseem, Multiobjective Neuro-Fuzzy Controller Design and Selection of Filter Parameters of UPQC Using Predator Prey Firefly and Enhanced Harmony Search Optimization, International Transactions on Electrical Energy Systems, 2024, 6611240, 21 pages, 2024. https://doi.org/10.1155/2024/6611240
[16]Palanisamy T, Thangamuthu GS. Optimal power quality improvement in distribution system with UPQC using an improved strategy. Optim Control Appl Meth. 2024; 45(4): 1433-1455. doi: 10.1002/oca.3105
[17]Venkatesan R, Kumar C, Balamurugan CR and Senjyu T (2024) Enhancing power quality in grid-connected hybrid renewable energy systems using UPQC and optimized O-FOPID. Front. Energy Res. 12:1425412. doi: 10.3389/fenrg.2024.1425412