Hybrid Industrial Microgrid with Fractional Order Controller for Improved Frequency Stability

Year 2026, Volume: 10 Issue: Special, 1 - 8, 05.03.2026

Sunil Nangrani , Harshad Akre

https://izlik.org/JA68ZL52FY

Abstract

Increasing the integration of renewable energy sources into electrical power systems reduces overall inertia, leading to potential frequency instability. Effective control strategies are crucial to maintain frequency stability in hybrid industrial micro grids. This research proposes a fractional sliding mode control strategy for frequency stabilization in hybrid industrial micro grids. Explicit state-space model of a multisource hybrid industrial micro grid, includes load, energy storage systems, photovoltaic and wind farms, electric vehicles and batteries with state-of-charge control. This research investigates the effectiveness of the proposed controller based on fractional order to improve the frequency stability and micro grid performance. The proposed controller effectively damps frequency oscillations and maintains frequency stability under diverse scenarios. The controller demonstrates robustness, fast response, and reliability in managing frequency deviations.

Keywords

Fractional Sliding mode controller (FSMC) , Fuel cell , Hybrid Industrial Micro grid (HIMG) , Photovoltaic cell (PVs) , Wind Turbine (WT).

References

• [1] Dipak R. Swain, Sunita S. Biswal, Pravat Kumar Rou, P. K. Ray and R. K. Jena. “Optimal fractional sliding mode control for the frequency stability of a hybrid industrial microgrid” AIMS Electronics and Electrical Engineering.
• [2] Sanjoy Debbarma, Member, IEEE, and Arunima Dutta,” Utilizing Electric Vehicles for LFC in Restructured Power Systems Using Fractional Order Controller” IEEE Transaction of smart grid. [3] Zahra Esfahani , Majid Roohi , Meysam Gheisarnejad, Tomislav Dragicˇevic and Mohammad-Hassan Khooban. “Optimal Non-Integer Sliding Mode Control for Frequency Regulation in Stand-Alone Modern Power Grids”
• [4] Muhammad Maaruf and Muhammad Khalid, “Global Sliding-Mode Control with Fractional-Order Terms for the Robust Optimal Operation of a Hybrid Renewable Microgrid with Battery Energy Storage” Electronics 2022.
• [5] Kharrich M, Kamel S, Alghamdi AS, et al. (2021) Optimal design of an isolated hybrid microgrid for enhanced deployment of renewable energy sources in Saudi Arabia. Sustainability 13: 4708.
• [6] Gorripotu TS, Samalla H, Rao JM, et al. (2019) TLBO algorithm optimized fractional-order PID controller for AGC of interconnected power system. Soft computing in data analytics, 847‒855. Springer, Singapore.
• [7] Bouchekara HREH, Javaid MS, Shaaban YA, et al. (2021) Decomposition based multiobjective evolutionary algorithm for PV/Wind/Diesel Hybrid Microgrid System design considering load uncertainty.EnergyRep7: 52‒69.
• [8] Betala, R., Nangrani, S.P., Ahuja, G. An Innovative Fuzzy Fractional Order Controller for Electric Vehicle System for Power Factor Improvement International Conference on Emerging Trends in Engineering and Technology, ICETET, 2023, 2023-April.
• [9] Betala, R., Nangrani, S.P. Comparison of Performance of Fractional Order PID Controller with Conventional Controller for Industrial Applications 2023 IEEE International Conference on Integrated Circuits and Communication Systems, ICICACS 2023, 2023.
• [10] Adware, R., Chandrakar, V. A Hybrid Approach with STATCOM to Enhance Grid Power Quality Associated with Wind Farm Engineering, Technology and Applied Science Research 2023, 13(4), pp. 11426–11431.
• [11] Deshmukh, A.N., Chandrakar, V.K. Design and Performance Analysis of Grid-Connected Solar Photovoltaic System with Performance Forecasting Approach (PFA) Journal of The Institution of Engineers (India): Series B, 2022, 103(5), pp. 1521–1532.
• [12] Nkolokosa, D., Waita, S., Kiruki, M., dos Santos Junior, B.F. and dos Santos, W.M., 2025. Fractional order controllers in microgrid management: systematic review. Multiscale and Multidisciplinary Modeling, Experiments and Design, 8(10), p.430.
• [13] Nangrani, S.P., Joshi, K.D. Trends in chaos and instability for understanding system complexity Journal of Intelligent and Fuzzy Systems.
• [14] Vidhate, A.A., Nangrani, S. Multi PV array analysis real time monitoring using two WIRE interface Proceedings of the International Conference on Trends in Electronics and Informatics, ICOEI 2019, 2019, pp. 1095–1098, 8862661.
• [15] Nangrani, S. P. and Bhat, S. S. Fractional Order Controller for Controlling Power System Dynamic Behavior Published Jan 2018 | Asian Journal of Control.
• [16] Nangrani, Sunil P. and Bhat, Sunil S. Numerical study of optimized fractional-order controller for chaos control of nonlinear dynamical power system Published Aug 2017 | International Transactions on Electrical Energy Systems.
• [17] Alsafran, A.S., Ullah, S., Ullah, A., Hafeez, G., Babar, M.Z., Alghamdi, B. and Algethami, A.A., 2025. A Robust Fractional-Order Sliding Mode Control with Nonsingular Terminal Dynamics for Maximum Power Point Tracking in Wind Turbine. IEEE Access.
• [18] Patil, M.D., Vadirajacharya, K., Khubalkar, S.W. State of art fractional order controller for power system stabilizer Published 2019 | Design and Tuning of Digital Fractional-Order PID Controller for Permanent Magnet DC Motor IETE Journal of Research.