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International Journal of Advanced Engineering Application

ISSN: 3048-6807

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Advanced Control Strategies for Renewable Energy Integration in Smart Grids

Author(s):A. Prakash1, N. Divya2, R. Senthil3

Affiliation: 1,2,3Department of Electrical and Electronics Engineering, PSG College of Technology, Coimbatore, Tamil Nadu, India

Page No: 7-13

Volume issue & Publishing Year: Volume 2 Issue 9 ,Sep -2025

Journal: International Journal of Advanced Engineering Application (IJAEA)

ISSN NO: 3048-6807

DOI: https://doi.org/10.5281/zenodo.17623351

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Abstract:
The increasing penetration of renewable energy sources such as solar and wind into modern power systems presents both opportunities and challenges. While renewable generation reduces reliance on fossil fuels and contributes to decarbonization, its intermittent and stochastic nature poses risks to grid stability, voltage regulation, and power quality. Smart grids provide an intelligent platform for managing these complexities through advanced monitoring, communication, and control technologies. This paper investigates advanced control strategies that enable effective integration of renewable energy into smart grids. Approaches such as model predictive control, adaptive control, and artificial intelligence-based techniques are discussed for their ability to mitigate variability and uncertainty in renewable generation. The role of demand-side management, distributed energy storage, and coordinated microgrid operation in enhancing reliability and resilience is also examined. Simulation studies and reported case applications demonstrate that these strategies significantly improve frequency stability, reduce curtailment of renewables, and enhance overall grid efficiency. The findings highlight that advanced control frameworks are essential for transitioning toward a secure, flexible, and sustainable power grid.

Keywords: Smart Grids, Renewable Energy Integration, Advanced Control, Model Predictive Control, Adaptive Control, Artificial Intelligence, Grid Stability, Energy Storage

Reference:

  • [1] A. Ipakchi and F. Albuyeh, “Grid of the future: Are we ready for smart grid?,” IEEE Power and Energy Magazine, vol. 7, no. 2, pp. 52–62, 2009.
  • [2] J. M. Guerrero, P. C. Loh, T. L. Lee, and M. Chandorkar, “Advanced control architectures for intelligent microgrids—Part I: Decentralized and hierarchical control,” IEEE Transactions on Industrial Electronics, vol. 60, no. 4, pp. 1254–1262, 2013.
  • [3] T. Senjyu, A. Yona, N. Urasaki, and T. Funabashi, “Next generation microgrid management using intelligent algorithms,” International Journal of Electrical Power & Energy Systems, vol. 54, pp. 123–133, 2014.
  • [4] H. Bevrani, T. Ise, and Y. Miura, “Virtual synchronous generators: A survey and new perspectives,” International Journal of Electrical Power & Energy Systems, vol. 54, pp. 244–254, 2014.
  • [5] Q. C. Zhong and G. Weiss, “Synchronverters: Inverters that mimic synchronous generators,” IEEE Transactions on Industrial Electronics, vol. 58, no. 4, pp. 1259–1267, 2011.
  • [6] S. A. Arefifar, Y. A. R. I. Mohamed, and T. H. El-Fouly, “Comprehensive operational planning framework for self-healing control actions in smart grids,” IEEE Transactions on Power Systems, vol. 28, no. 4, pp. 4192–4200, 2013.
  • [7] D. E. Olivares, A. Mehrizi-Sani, A. H. Etemadi et al., “Trends in microgrid control,” IEEE Transactions on Smart Grid, vol. 5, no. 4, pp. 1905–1919, 2014.
  • [8] S. Vazquez, S. M. Lukic, E. Galvan, L. G. Franquelo, and J. M. Carrasco, “Energy storage systems for transport and grid applications,” IEEE Transactions on Industrial Electronics, vol. 57, no. 12, pp. 3881–3895, 2010.
  • [9] N. Hatziargyriou (Ed.), Microgrids: Architectures and Control. Hoboken, NJ: Wiley–IEEE Press, 2014.
  • [10] M. Shafie-Khah, E. Heydarian-Forushani, and J. P. S. Catalao, “Optimal demand response programs in smart grids considering operation constraints,” IEEE Transactions on Smart Grid, vol. 6, no. 5, pp. 2506–2514, 2015.
  • [11] S. H. E. Abdel Aleem, A. F. Zobaa, and M. M. Abdel Aziz, “Optimal power quality economy tradeoff in smart grids,” IEEE Transactions on Smart Grid, vol. 3, no. 3, pp. 1046–1055, 2012.
  • [12] A. Molina-García, F. Bouffard, and D. S. Kirschen, “Decentralized demand-side contribution to primary frequency control,” IEEE Transactions on Power Systems, vol. 26, no. 1, pp. 411–419, 2011.
  • [13] K. Moslehi and R. Kumar, “A reliability perspective of the smart grid,” IEEE Transactions on Smart Grid, vol. 1, no. 1, pp. 57–64, 2010.
  • [14] P. Kundur, Power System Stability and Control. New York: McGraw-Hill, 1994.
  • [15] M. A. Mahmud, H. R. Pota, and M. J. Hossain, “Dynamic stability of power systems with renewable energy sources: A review,” Renewable and Sustainable Energy Reviews, vol. 28, pp. 208–221, 2013.
  • [16] A. Yazdani and R. Iravani, Voltage-Sourced Converters in Power Systems: Modeling, Control, and Applications. Hoboken, NJ: Wiley–IEEE Press, 2010.