Data-Driven Optimization of UPQC Performance for Solar PV Systems in Weak Grids Using Simulation and Predictive Modeling

R. Rajasree, D. Lakshmi, M. Batumalay
Pages 2072-2084
Abstract Views 579
PDF Downloads 436
Crossref Citations -
DOI https://doi.org/10.47738/jads.v6i3.742

Abstract


The integration of solar photovoltaic (PV) systems into weak power grids presents significant challenges due to low short circuit ratios (SCR), resulting in voltage instability, high harmonic distortion, and diminished fault tolerance. This study proposes a data-driven framework to enhance grid stability and power quality by employing a Unified Power Quality Conditioner (UPQC) integrated with Proportional-Integral (PI) controllers. A comprehensive simulation model was developed using MATLAB/Simulink and validated through hardware-in-the-loop (HIL) experiments. Key electrical performance metrics—such as voltage profiles, total harmonic distortion (THD), and reactive power—were collected and analyzed. To enhance system insight, the dataset was further processed using statistical analysis and predictive modeling techniques to evaluate control response under varying solar irradiance and load conditions. The results demonstrate that the UPQC system maintains stable voltage, reduces THD to within IEEE-519 standards, and improves power factor to 0.98. This research highlights the potential of combining power electronics control with data-centric evaluation to ensure reliable renewable energy integration in weak grid environments. The proposed system contributes toward developing intelligent grid-support solutions for sustainable energy transitions and process innovation.


Keywords


Unified Power Quality Conditioner (UPQC); Power Quality; Total Harmonic Distortion (THD); Reactive Power Compensation; Process Innovation

Full Text:

PDF

References


. M. N. Ambia, K. Meng, W. Xiao, A. Al-Durra, and Z. Y. Dong, “Interactive Grid Synchronization-Based Virtual Synchronous Generator Control Scheme on Weak Grid Integration,” IEEE Transactions on Smart Grid, pp. 1–1, 2021, doi: https://doi.org/10.1109/tsg.2021.3138999

. R. Rajasree, D. Lakshmi, T. Sasilatha, K. Stalin, Hoong-Pin Lee, (2023), “Unified Power Quality Conditioner for Voltage Compensation in Microgird”, Journal of Engineering Science and Technology, Vol. 18, No. 6 120 – 128.

. C. Li, W. Liu, J. Liang, X. Ding, and L. M. Cipcigan, “Improved Grid Impedance Compensation for Phase-Locked Loop to Stabilize the Very-Weak-Grid Connection of VSIs,” IEEE Transactions on Power Delivery, vol. 37, no. 5, pp. 3863–3872, Jan. 2022, doi: https://doi.org/10.1109/tpwrd.2021.3140024.

. R. Rajasree, D. Lakshmi, R. Karthickmanoj, R. Karthickmanoj, Stalin K, and M. Batumalay, “Optimizing Renewable Energy Integration in Weak Grids with UPQC Controller,” Journal of Innovation and Technology, vol. 2024, no. 1, Sep. 2024, doi: https://doi.org/10.61453/joit.v2024no14.

. Saeed Rezaee, A. Radwan, Mehrdad Moallem, and J. Wang, “Dual Active Compensation for Voltage Source Rectifiers Under Very Weak Grid Conditions,” IEEE Access, vol. 9, pp. 160446–160460, Jan. 2021, doi: https://doi.org/10.1109/access.2021.313148.

. X. Huang, G. Zu, Q. Ding, R. Wei, Y. Wang, and W. Wei, “An Online Control Method of Reactive Power and Voltage Based on Mechanism–Data Hybrid Drive Model Considering Source–Load Uncertainty,” Energies, vol. 16, no. 8, pp. 3501–3501, Apr. 2023, doi: https://doi.org/10.3390/en16083501.

. [1]B. Aldbaiat, M. Nour, E. Radwan, and E. Awada, “Grid-Connected PV System with Reactive Power Management and an Optimized SRF-PLL Using Genetic Algorithm,” Energies, vol. 15, no. 6, p. 2177, Jan. 2022, doi: https://doi.org/10.3390/en15062177.

. Gajendra Singh Chawda, A. G. Shaik, Om Prakash Mahela, and Sanjeevikumar Padmanaban, “Performance Improvement of Weak Grid-Connected Wind Energy System Using FLSRF-Controlled DSTATCOM,” IEEE Transactions on Industrial Electronics, vol. 70, no. 2, pp. 1565–1575, Mar. 2022, doi: https://doi.org/10.1109/tie.2022.3158012.

. B. Aldbaiat, M. Nour, E. Radwan, and E. Awada, “Grid-Connected PV System with Reactive Power Management and an Optimized SRF-PLL Using Genetic Algorithm,” Energies, vol. 15, no. 6, p. 2177, Jan. 2022, doi: https://doi.org/10.3390/en15062177.

. R. Pavan and S. Meikandasivam, “Power quality enhancement in a grid-connected hybrid system with coordinated PQ theory & fractional order PID controller in DPFC,” vol. 21, pp. 100317–100317, Mar. 2020, doi: https://doi.org/10.1016/j.segan.2020.100317.

. R. Rajasree and S. Premalatha, “Unified Power Quality conditioner (UPQC) control using feed forward (FF)/ feed back (FB) controller,” Mar. 2011, doi: https://doi.org/10.1109/icccet.2011.5762501.

. V. Vinothkumar and R. Kanimozhi, “RETRACTED ARTICLE: Power flow control and power quality analysis in power distribution system using UPQC based cascaded multi-level inverter with predictive phase dispersion modulation method,” Journal of Ambient Intelligence and Humanized Computing, vol. 12, no. 6, pp. 6445–6463, Jun. 2020, doi: https://doi.org/10.1007/s12652-020-02253-y.

. P. Chaudhary and G. Singh, “Fault mitigation through multi converter UPQC with hysteresis controller in grid connected wind system,” Journal of Ambient Intelligence and Humanized Computing, vol. 11, no. 11, pp. 5279–5295, May 2020, doi: https://doi.org/10.1007/s12652-020-01855-w.

. O. Aissa, S. Moulahoum, I. Colak, B. Babes, and N. Kabache, “Analysis and experimental evaluation of shunt active power filter for power quality improvement based on predictive direct power control,” Environmental Science and Pollution Research, vol. 25, no. 25, pp. 24548–24560, Oct. 2017, doi: https://doi.org/10.1007/s11356-017-0396-1.

. Y. Su and P. Cheng, “Development of a Hybrid Cascaded Converter based STATCOM with Reduced Switching Losses,” 2020 IEEE Energy Conversion Congress and Exposition (ECCE), pp. 4755–4761, Oct. 2020, doi: https://doi.org/10.1109/ecce44975.2020.9235769

. S.-B. Kim and S.-H. Song, “A Hybrid Reactive Power Control Method of Distributed Generation to Mitigate Voltage Rise in Low-Voltage Grid,” Energies, vol. 13, no. 8, p. 2078, Apr. 2020, doi: https://doi.org/10.3390/en13082078.

. L. Chen, H. Nian, and Y. Xu, “Improved model predictive direct power control of grid side converter in weak grid using kalman filter and DSOGI,” Chinese Journal of Electrical Engineering, vol. 5, no. 4, pp. 22–32, Dec. 2019, doi: https://doi.org/10.23919/cjee.2019.000024.

. M. A. M. Shaheen, H. M. Hasanien, and A. Alkuhayli, “A novel hybrid GWO-PSO optimization technique for optimal reactive power dispatch problem solution,” Ain Shams Engineering Journal, vol. 12, no. 1, pp. 621–630, Mar. 2021, doi: https://doi.org/10.1016/j.asej.2020.07.011.

. M. F. Umar et al., “Single-Phase Grid-Interactive Inverter With Resonance Suppression Based on Adaptive Predictive Control in Weak Grid Condition,” IEEE Journal of Emerging and Selected Topics in Industrial Electronics, vol. 3, no. 3, pp. 809–820, Aug. 2021, doi: https://doi.org/10.1109/jestie.2021.3103675.

. T. Hai et al., “Potential for on-grid hybrid renewable energy in a humid subtropical climatic zone: technological, economic, and environmental aspects,” International Journal of Low-Carbon Technologies, vol. 19, pp. 2409–2419, Jan. 2024, doi: https://doi.org/10.1093/ijlct/ctae196.




DOI: https://doi.org/10.47738/jads.v6i3.742

Refbacks

  • There are currently no refbacks.


Barcode

Journal of Applied Data Sciences

ISSN:2723-6471 (Online)
Publisher:Bright Publisher
Website:http://bright-journal.org/JADS
Email:taqwa@amikompurwokerto.ac.id (principal contact)
  support@bright-journal.org (technical issues)

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0