Load Frequency Control (LFC) Strategy for an Isolated Microgrid Integrated with Electric Vehicles
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Abstract
The growing demand for efficient and sustainable energy solutions has driven the widespread adoption of Distributed Energy Resources (DERs) and microgrids. However, the intermittent nature of DERs and the low inertia of isolated microgrids present significant challenges for Load Frequency Control (LFC). Primary frequency control alone often fails to maintain system frequency within acceptable limits. To address this issue, this research proposes an LFC strategy for a hybrid standalone microgrid (SMG) leveraging electric vehicles (EVs). The approach incorporates a Proportional-Integral-Derivative (PID) controller in the SMG design model. The objective function is formulated using the Integral of Time-Weighted Absolute Error (ITAE), and the Particle Swarm Optimization (PSO) algorithm is employed to optimize the PID gain parameters. Furthermore, Flywheel Energy Storage System (FESS) and Battery Energy Storage System (BESS) components are integrated with the PID controller's output to enhance LFC performance. The system capitalizes on the high-energy density and bidirectional charging/discharging capabilities of EVs to effectively regulate frequency variations. The effectiveness of the proposed method is validated through three simulation scenarios. In Scenario 1, the proposed technique achieves a 61.82% improvement in frequency deviation and a 40% reduction in settling time. Scenario 2 shows further enhancement, with improvements of 78.26% in frequency deviation and 61.54% in settling time. The simulation results consistently demonstrate that the proposed technique outperforms existing methods across all scenarios in terms of frequency deviation and settling time improvements.
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References
Abdelwanis, M. I., & Elmezain, M. I. (2024). A comprehensive review of hybrid AC/DC networks: insights into system planning, energy management, control, and protection. Neural Computing and Applications, 36(29), 17961-17977.
Aff, A., Simab, M., Nafar, M., & Mirzaee, A. (2023). Robust linear parameter varying frequency control for islanded hybrid AC/DC microgrids. Electric Power Systems Research, 214,108898.
Alayi.R., Zishan.F.& Seyednouri S.R. (2021). Optimal Load Frequency Control of Island Microgrids via a PID controller in the presence of Wind Turbine and PV.13, (19), 10728.
Aljafari, B., Vasantharaj, S., Indragandhi, V., & Vaibhav, R. (2022). Optimization of DC, AC, and hybrid AC/DC microgrid-based IoT systems: a review. Energies, 15(18), 6813.
Ghelani, D. (2022). LITERATURE REVIEW ON Coordinated Control of Interconnected Microgrid and Energy Storage System Dipteben Ghelani. Authorea Preprints.
Hasan, A. K., Haque, M. H., & Aziz, S. M. (2024). Enhancing Frequency Response Characteristics of Low Inertia Power Systems Using Battery Energy Storage. IEEE Access.
Inderjeet, M. (2023). Fuel transition from non-renewable to renewable for gas turbines in a changing Europe (Doctoral dissertation, Technische Hochschule Ingolstadt).
Khan, M. R., Haider, Z. M., Malik, F. H., Almasoudi, F. M., Alatawi, K. S. S., & Bhutta, M. S. (2024). A comprehensive review of microgrid energy management strategies considering electric vehicles, energy storage systems, and AI techniques. Processes, 12(2), 270.
Khazali, A., Rezaei, N., Saboori, H., & Guerrero, J. M. (2022). Using PV systems and parking lots to provide virtual inertia and frequency regulation provision in low inertia grids. Electric Power Systems Research, 207, 107859.
Kostenko, G., & Zaporozhets, A. (2023). Enhancing of the power system resilience through the application of micro power systems (microgrid) with renewable distributed generation. System Research in Energy, (3 (74)), 25-38.
Kunya, A. B. (2024). Hierarchical bi-level load frequency control for multi-area interconnected power systems. International Journal of Electrical Power & Energy Systems, 155, 109600.
Liu, Y., Wang, X., & Wang, S. (2020). Research on frequency control of islanded microgrid with multiple distributed power sources. Processes, 8(2), 193.
Nzoundja Fapi, C. B., Touré, M. L., Camara, M. B., & Dakyo, B. (2025). Control Strategy for DC Micro-Grids in Heat Pump Applications with Renewable Integration. Electronics, 14(1), 150.
Ramesh, M., Yadav, A. K., & Pathak, P. K. (2021). Intelligent adaptive LFC via power flow management of integrated standalone micro-grid system. ISA transactions, 112, 234-250.
Ranjan, M., & Shankar, R. (2024). Improved frequency regulation in smart grid system integrating renewable sources and hybrid energy storage system. Soft Computing, 1-20.




















