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Comparison of Various Controller Tuning for Frequency Stability in Hybrid Microgrid System

Mahesh Singh*, Ashna Sonwane**

*-** Department of Electrical Engineering, Shri Shankaracharya Technical Campus, Bhilai, Chhattishgarh, India.

Periodicity:July - September'2023
DOI : https://doi.org/10.26634/jee.17.1.20232

Abstract

The growing integration of renewable energy sources in hybrid microgrid systems necessitates effective frequency stability controllers. This paper presents a thorough comparison of Cuckoo Search Optimization (CSO), Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Proportional-Integral-Derivative (PID) controllers in a realistic 20 kW hybrid microgrid environment. Through meticulous simulations, tuning parameters for each method are fine-tuned for optimal performance. The study quantitatively evaluates critical metrics, including lagging time, overshoot, settling time, and steady-state error, providing insights into the strengths and weaknesses of each approach. The paper introduces a percentage improvement analysis, showcasing advancements made by each method. The outcomes serve as a benchmark for practical implementation, aiding in the selection of the most suitable controller tuning method for achieving enhanced frequency stability in hybrid microgrid systems.

Keywords

Hybrid Microgrid System, Frequency Stability, Controller Tuning, Cuckoo Search Optimization (CSO), Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Proportional-Integral-Derivative (PID).

How to Cite this Article?

Singh, M., and Sonwane, A. (2023). Comparison of Various Controller Tuning for Frequency Stability in Hybrid Microgrid System. i-manager’s Journal on Electrical Engineering, 17(1), 34-44. https://doi.org/10.26634/jee.17.1.20232

References

[1]. Alam, M. S., & Arefifar, S. A. (2019). Energy management in power distribution systems: Review, classification, limitations and challenges. IEEE Access, 7, 92979-93001.

[2]. Asghar, F., Talha, M., & Kim, S. H. (2017). Robust frequency and voltage stability control strategy for standalone AC/DC hybrid microgrid. Energies, 10(6), 760.

[3]. Babu, T. S., Vasudevan, K. R., Ramachandaramurthy, V. K., Sani, S. B., Chemud, S., & Lajim, R. M. (2020). A comprehensive review of hybrid energy storage systems: Converter topologies, control strategies and future prospects. IEEE Access, 8, 148702-148721.

[4]. Chatterjee, A., & Rayudu, R. (2017, December). Techno-economic analysis of hybrid renewable energy system for rural electrification in India. In 2017 IEEE Innovative Smart Grid Technologies-Asia (ISGT-Asia) (pp. 1-5). IEEE.

[5]. Durairasan, M., & Balasubramanian, D. (2020). RETRACTED: An efficient control strategy for optimal power flow management from a renewable energy source to a generalized three-phase microgrid system: A hybrid squirrel search algorithm with whale optimization algorithm approach. Transactions of the Institute of Measurement and Control, 42(11), 1960-1976.

[6]. Gonal, V., & Sheshadri, G. S. (2021). A hybrid bat–dragonfly algorithm for optimizing power flow control in a grid-connected wind–solar system. Wind Engineering, 45(2), 231-244.

[7]. Hu, X., Chen, A., Du, C., Zhang, C., & Lin, Z. (2017, October). Modeling and stability analysis of hybrid AC/DC microgrid based on a hybrid model. In 2017 Chinese Automation Congress (CAC) (pp. 6516-6521). IEEE.

[8]. Husein, M., & Chung, I. Y. (2018). Optimal design and financial feasibility of a university campus microgrid considering renewable energy incentives. Applied Energy, 225, 273-289.

[9]. Jeon, S. U., Noh, J., Kang, S., & Park, J. W. (2020). Practical power management of PV/ESS integrated system. IEEE Access, 8, 189775-189785.

[10]. Khatibzadeh, A., Besmi, M., Mahabadi, A., & Reza Haghifam, M. (2017). Multi-agent-based controller for voltage enhancement in AC/DC hybrid microgrid using energy storages. Energies, 10(2), 169.

[11]. Kirmani, S., Jamil, M., & Akhtar, I. (2017). Bidirectional power control mechanism for a microgrid hybrid energy system with power quality enhancement capabilities. International Journal of Renewable Energy Research, 7(4), 1962-1969.

[12]. Kothari, D. P., & Nagrath, I. J. (2003). Modern Power System Analysis. Tata McGraw-Hill Publishing Company, New Delhi.

[13]. Kotra, S., & Mishra, M. K. (2019). Design and stability analysis of DC microgrid with hybrid energy storage system. IEEE Transactions on Sustainable Energy, 10(3), 1603-1612.

[14]. Kumaravel, S., Ashok, S., & Balamurugan, P. (2012, December). Techno-economic feasibility study of biomass based hybrid renewable energy system for microgrid application. In 2012 International Conference on Green Technologies (ICGT) (pp. 107-110). IEEE.

[15]. Li, Z., & Shahidehpour, M. (2017). Small-signal modeling and stability analysis of hybrid AC/DC microgrids. IEEE Transactions on Smart Grid, 10(2), 2080-2095.

[16]. Masrur, H., Howlader, H. O. R., Elsayed Lotfy, M., Khan, K. R., Guerrero, J. M., & Senjyu, T. (2020). Analysis of techno-economic-environmental suitability of an isolated microgrid system located in a remote island of Bangladesh. Sustainability, 12(7), 2880.

[17]. Mekhilef, S., Saidur, R., & Safari, A. (2012). Comparative study of different fuel cell technologies. Renewable and Sustainable Energy Reviews, 16(1), 981-989.

[18]. Ray, I. (2021). Review of impedance-based analysis methods applied to grid-forming inverters in inverter-dominated grids. Energies, 14(9), 2686.

[19]. Saidur, R., Abdelaziz, E. A., Demirbas, A., Hossain, M. S., & Mekhilef, S. (2011). A review on biomass as a fuel for boilers. Renewable and Sustainable Energy Reviews, 15(5), 2262-2289.

[20]. Sarita, K., Kumar, S., Vardhan, A. S. S., Elavarasan, R. M., Saket, R. K., Shafiullah, G. M., & Hossain, E. (2020). Power enhancement with grid stabilization of renewable energy-based generation system using UPQC-FLC-EVA technique. IEEE Access, 8, 207443-207464.

[21]. Tabart, Q., Vechiu, I., Etxeberria, A., & Bacha, S. (2017). Hybrid energy storage system microgrids integration for power quality improvement using four-leg three-level NPC inverter and second-order sliding mode control. IEEE Transactions on Industrial Electronics, 65(1), 424-435.

[22]. Wang, R., Sun, Q., Hu, W., Li, Y., Ma, D., & Wang, P. (2021b). SoC-based droop coefficients stability region analysis of the battery for stand-alone supply systems with constant power loads. IEEE Transactions on Power Electronics, 36(7), 7866-7879.

[23]. Wang, R., Sun, Q., Hu, W., Xiao, J., Zhang, H., & Wang, P. (2020). Stability-oriented droop coefficients region identification for inverters within weak grid: An impedance-based approach. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 51(4), 2258-2268.

[24]. Wang, R., Sun, Q., Tu, P., Xiao, J., Gui, Y., & Wang, P. (2021a). Reduced-order aggregate model for largescale converters with inhomogeneous initial conditions in DC microgrids. IEEE Transactions on Energy Conversion, 36(3), 2473-2484.

[25]. Williams, N. J., Jaramillo, P., & Taneja, J. (2018). An investment risk assessment of microgrid utilities for rural electrification using the stochastic techno-economic microgrid model: A case study in Rwanda. Energy for Sustainable Development, 42, 87-96.

[26]. Wu, T., Ye, F., Su, Y., Wang, Y., & Riffat, S. (2020). Coordinated control strategy of DC microgrid with hybrid energy storage system to smooth power output fluctuation. International Journal of Low-Carbon Technologies, 15(1), 46-54.

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