Einstein International Journal Organization(EIJO)

Abstract 

Increasing penetration of renewable energy sources (res) such as sun, wind, biomass and small hydro have led to the development of hybrid renewable energy systems (HRE) that ensures high reliability and energy security. However, the inherent intermittent, variability and non-lecture properties introduced to resulting important power quality challenges, including voltage fluctuations, hormonics, reactive power imbalance and frequency instability. These problems not only reduce system efficiency, but also danger -proof and reliable operation of sensitive stress. To solve these challenges, flexible AC transmission systems (facts) have emerged as a promising solution for PQ growth in hybrid systems and improved web stability.

The review papers offer a comprehensive examination of fact-based approaches to HRES in the HRRS, focused on devices such as static synchronous compensator (STACOM), Static Var Compensator (SVC), Unified Power Flow Controller (UPFC) and Dynamic Voltage Restorer (DVR). Paper highlights the operating principles, control strategies and the application domains of these devices to reduce power quality problems. Special weight is placed on the use of STATCOM, due to its rapid dynamic reaction, better reactive strength support and adaptability for integration with renewable energy sources. In addition, the review presents a comparative analysis of facts about facts in terms of performance, cost efficiency and suitability for different hybrid system configuration. This article examines recent progress in the intelligent control algorithm, such as unclear logic, artificial neural networks and optimization-based controls, which have been integrated with actual tools to increase the effectiveness of real-time PQ control. In addition, challenges are discussed with large-scale scale, such as economic viability, technical limitations and compliance with online code, hardly discussed.

1. Alajrash, B. H., & Al-Takarli, M. (2024). A comprehensive review of FACTS devices in modern power systems. Journal of Electrical Systems.
2. Chougale, R. K., Patil, A. S., & Shinde, S. (2024). A review paper on integration of PV solar systems with STATCOM for reactive power compensation in grid. ISTE Special Issue.
3. Tariq, M., & Rahman, A. (2021). Modeling and analysis of STATCOM for renewable energy integration. MDPI.
4. Sadiq, R. (2021). A review of STATCOM control for stability enhancement in wind- and photovoltaic-interfaced power systems. Wiley IET Renewable Power Generation.
5. Barua, P. (2022). Contingency analysis and adoption of STATCOM in highly renewable energy systems. Cogent Engineering.
6. Joshi, S. (2017). Large scale integration of renewable sources with STATCOM for voltage and reactive power regulation, and power quality improvement. GIZ-Regrid Integration.
7. Jalli, R. K. (2025). Identification of multiple power quality disturbances in smart grids using AFCELMD. Electric Power Systems Research.
8. Khaldi, B., et al. (2023). Review on power quality disturbances: detection, classification, optimization, and mitigation techniques in smart grids with renewable energy integration. Chinese Journal of Electrical Engineering.
9. Samala, N. (2025). Harnessing synergy: a holistic review of hybrid renewable energy systems and power quality challenges. Journal of Engineering and Sustainable Information Technology.
10. Kumari, N. (2025). A comprehensive review on stability analysis of hybrid energy systems. Sensors.
11. Khosravi, N. (2025). A hybrid control approach to improve power quality in microgrids. Applied Intelligence.
12. Kumar, P. R. (2025). A review of emerging techniques for power quality enhancement in renewable-integrated systems. E3S Web of Conferences.
13. Paital, S. R., Ray, P. K., Mohanty, A., Patra, S., & Dubey, H. (2016). Bacterial foraging optimized STATCOM for stability assessment in power systems. arXiv preprint.
14. Singh, P., & Senroy, N. (2021). Steady-state models of STATCOM and UPFC using flexible holomorphic embedding method. 
15. Pan, I., & Das, S. (2016). Fractional order fuzzy control of hybrid power systems with renewable generation using chaotic PSO.
16. Leite, D., Decker, L., Santana, M., & Souza, P. (2020). EGFC: Evolving Gaussian fuzzy classifier from never-ending semi-supervised data streams — with application to power quality disturbance detection and classification.