Modeling and Simulation of Unified Power Quality Conditioner (UPQC) for Power Quality Improvement in Smart Grids
Article Sidebar
Main Article Content
Abstract—In modern smart grids, maintaining high power quality is essential for ensuring efficient, reliable, and stable operation of electrical systems. The proliferation of nonlinear and sensitive loads has increased issues such as voltage sag, swell, harmonics, and reactive power imbalance, which adversely affect overall power performance. This paper presents a detailed modeling and simulation study of a Unified Power Quality Conditioner (UPQC) designed to mitigate power quality problems in smart grid environments. The UPQC integrates both series and shunt active power filters within a single framework to simultaneously compensate for voltage and current-related disturbances. The system is modeled and simulated using MATLAB/Simulink to evaluate its dynamic response under various operating conditions, including load variations and fault disturbances. Simulation results demonstrate that the proposed UPQC effectively mitigates harmonics, restores voltage profiles, and maintains unity power factor, thereby improving overall system performance and reliability. The findings validate the UPQC as a robust and efficient solution for enhancing power quality in next-generation smart grids.
Downloads
References
S. Sahoo, S. C. Swain, R. Dash, S. Roy and G. Dei, "Power Quality Analysis in Microgrid Using Unified Power Quality Conditioner and Particle Swarm Optimization," 2024 IEEE 1st International Conference on Green Industrial Electronics and Sustainable Technologies (GIEST), Imphal, India, 2024, pp. 1-6, doi: 10.1109/GIEST62955.2024.10959900.
P. Kumar and S. Kaur, "Intelligent Solutions for Power Quality Improvement in Smart Renewable Distributed Generation Networks," 2025 International Conference on Smart & Sustainable Technology (INCSST), Chikodi, India, 2025, pp. 1-6, doi: 10.1109/INCSST64791.2025.11210344.
Vikas, R. P. Daund, D. Kumar, P. Charan, R. S. K. Ingilela and R. Rastogi, "Intrusion Detection in Wireless Sensor Networks using Hybrid Deep Belief Networks and Harris Hawks Optimizer," 2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC), Coimbatore, India, 2023, pp. 1631-1636, doi: 10.1109/ICESC57686.2023.10193270.
S. Piklom, P. Santiprapan and K. Areerak, "Reference Signal Generation for a Unified Power Quality Conditioner in Urban Passenger Heavy Rail Electrification System," 2025 13th International Electrical Engineering Congress (iEECON), Hua Hin, Thailand, 2025, pp. 1-6, doi: 10.1109/iEECON64081.2025.10987752.
V. Sharma and S. Kumar, "Role of Artificial Intelligence (AI) to Enhance the Security and Privacy of Data in Smart Cities," 2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), Greater Noida, India, 2023, pp. 596-599, doi: 10.1109/ICACITE57410.2023.10182455.
S. Behera, Gayatri, B. S. Barar and D. Sharma, "Optimizing Power Quality varify on UPQC and Soft Computing Approaches," 2024 IEEE 1st International Conference on Green Industrial Electronics and Sustainable Technologies (GIEST), Imphal, India, 2024, pp. 1-6, doi: 10.1109/GIEST62955.2024.10960020.
D. Singh, K. Choksi, S. Singh and F. Luo, "Battery-Assisted Unified Power Quality Conditioner for Power Quality Improvement in Tidal-Driven Seaport Microgrids," 2025 IEEE Electric Ship Technologies Symposium (ESTS), Alexandria, VA, USA, 2025, pp. 436-443, doi: 10.1109/ESTS62818.2025.11152476.
A Comprehensive Analysis of Security Mechanisms and Threat Characterization in Mobile Ad Hoc Networks”, IJLTEMAS, vol. 14, no. 5, pp. 732–737, Jun. 2025, doi: 10.51583/IJLTEMAS.2025.140500079.
Optimization of Graph Neural Networks for Real-Time Intrusion Detection in Dynamic Mobile Ad-Hoc Networks”, Int. J. Environ. Sci., vol. 11, no. 11s, pp. 740–748, Jun. 2025, doi: 10.64252/79452g17.
W. Ahamd and I. Ullah, "Unified Power Quality Conditioner Based Power Quality Improvement in Micro-Grid," 2025 IEEE Texas Power and Energy Conference (TPEC), College Station, TX, USA, 2025, pp. 1-6, doi: 10.1109/TPEC63981.2025.10906828.
B. G. Lukka, M. R. Kotapuri and T. R. S. Reddy, "Intelligent Power Quality Improvement in Renewable Energy Microgrids using ANFIS-based UPQC," 2025 3rd International Conference on Sustainable Computing and Data Communication Systems (ICSCDS), Erode, India, 2025, pp. 1780-1785, doi: 10.1109/ICSCDS65426.2025.11166942.
S. Farook, Y.N.Vijayakumar, S.Sridhar, B. V. S. Thrinath, M. Manohara and M. Venkatesh, "A Synchronized Unified Power Quality Conditioner For Hybrid Energy Storage Power Management," 2025 International Conference on Computing Technologies (ICOCT), Bengaluru, India, 2025, pp. 1-6, doi: 10.1109/ICOCT64433.2025.11118435.
G. K. Jabash Samuel, A. Pathak, V. A. Asha, K. Vijayakumar, M. Nabeela and S. Sivarajan, "Innovative Neural Network Control for Unified Power Quality Conditioner in Photovoltaic Systems Enhancing Grid Stability and Energy Efficiency," 2025 8th International Conference on Circuit, Power & Computing Technologies (ICCPCT), Kollam, India, 2025, pp. 1557-1562, doi: 10.1109/ICCPCT65132.2025.11176742.
This work is licensed under a Creative Commons Attribution 4.0 International License.
All articles published in our journal are licensed under CC-BY 4.0, which permits authors to retain copyright of their work. This license allows for unrestricted use, sharing, and reproduction of the articles, provided that proper credit is given to the original authors and the source.