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International Journal of Renewable, Green, and Sustainable Energy

Open Access Peer Review International
Open Access

DEVELOPMENT AND PERFORMANCE ANALYSIS OF A HYBRID ANFIS-BASED CONTROL SYSTEM FOR ISLANDED MICROGRIDS

DOI https://doi.org/10.55640/
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Dr. Sarah Connors 1 , Dr. Tarek Al-Shehri 1 ,
4 Smart Grid and Intelligent Systems Laboratory, University of Manchester, Manchester, United Kingdom
4 Department of Renewable Energy Systems, King Abdulaziz University, Jeddah, Saudi Arabia

Abstract

Reliable and adaptive control strategies are essential for ensuring the stability and efficiency of islanded microgrids operating with high penetration of renewable energy sources. This study presents the development and performance evaluation of a hybrid control system based on an Adaptive Neuro-Fuzzy Inference System (ANFIS) for voltage and frequency regulation in islanded microgrids. The proposed controller integrates rule-based fuzzy logic with the learning capability of neural networks to dynamically respond to load fluctuations and renewable generation variability. A test microgrid model comprising photovoltaic (PV), wind, and battery storage units was simulated in MATLAB/Simulink under various operating scenarios, including sudden load changes and generation intermittency. Performance metrics such as settling time, overshoot, and total harmonic distortion (THD) were analyzed and compared against conventional PID and pure fuzzy controllers. The results demonstrate that the hybrid ANFIS controller significantly enhances dynamic response and maintains grid stability, making it a promising solution for autonomous microgrid management.

Keywords

Islanded microgrid, ANFIS controller, hybrid control system

References

📄 Vijayakumar, G., N. Gupta, and R. A. Gupta. 2017. Mitigation of power quality problems using shunt active power filters: A comprehensive review. In 12th IEEE Conference on Industrial Electronics and Applications (ICIEA), 18-20 June 2017.
📄 Kesler, M., and E. Ozdemir. 2011. Synchronous-reference-frame-based control method for UPQC under unbalanced and distorted load conditions. IEEE Transactions on Industrial Electronics 58 (9): 3967–75.
📄 Suresh, M., and A. K. Panda. 2011. PI and Fuzzy Logic Controller based 3-phase 4-wire Shunt active filter for mitigation of current harmonics with Id-Iq control strategy. Journal of Power Electronics 11 (6): 914–21.
📄 Das, S. R., P. K. Ray, A. Mohanty, and G. Panda. 2021. Power quality enhancement in PV and battery storage based microgrid using hybrid active filter. In 2020 3rd International Conference on Energy, Power and Environment: Towards Clean Energy Technologies, 5-7 March 2021.
📄 Suresh, M., and A. K. Panda. 2012. RTDS hardware implementation and simulation of SHAF for mitigation of harmonics using p-q control strategy with PI and Fuzzy logic controllers. Frontiers of Electrical and Electronic Engineering 7 (4): 427–37.
📄 Hsiung, C. L. 2007. Intelligent neural network-based fast power system harmonic detection. IEEE Transactions on Industrial Electronics 54 (1): 43–52.
📄 Dash, P. K., S. K. Panda, T. H. Lee, J. X. Xu, and A. Routray. 1997. Fuzzy and neural controllers for dynamic systems: an overview. IEEE, May 1997.
📄 Devassy, S., and B. Singh. 2016. Design and performance analysis of three-phase solar PV integrated UPQC. In ICPS, IEEE-March 2016.
📄 Krishna, V. K., S. K. Dash, and K. R. Geshma. 2020. Development and analysis of power quality by using fuel cell based shunt active power filter. In 2020 2nd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA), 5-7 March 2020.
📄 Koganti, S., K. K. Jyothi, and S. Salkuti. 2022. Design of multi-objective-based artificial intelligence controller for wind/battery-connected shunt active power filter. Algorithms 15 (8): 256.
📄 Chandrasekaran, K., J. Selvaraj, C. R. Amaladoss, and L. Veerapan. 2021. Hybrid renewable energy based smart grid system for reactive power management and voltage profile enhancement using artificial neural network. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 43 (19): 2419–42.
📄 Ramadevi, A., K. Srilakshmi, P. Balachandran, I. Colak, C. Dhanamjayulu, and B. Khan. 2023. Optimal design and performance investigation of artificial neural network controller for solar- and battery-connected unified power quality conditioner. International Journal of Energy Research 2023: 3355124.
📄 Sarker, K., D. Chatterjee, and S. K. Goswami. 2020. A modified PV-wind-PEMFCS-based hybrid UPQC system with combined DVR/STATCOM operation by harmonic compensation. International Journal of Modeling and Simulation 41 (4): 243–55.
📄 Saggu, T. S., L. Singh, B. Gill, and O. P. Malik. 2018. Effectiveness of UPQC in mitigating harmonics generated by an induction furnace. Electrical Power Components and Systems 46 (6): 629–36.
📄 Dheeban, S. S., and N. B. Muthu Selvan. 2021. ANFIS-based power quality improvement by photovoltaic integrated UPQC at distribution system. IETE Journal of Research, Feb-2021.
📄 Ebadian, M., M. Talebi, and R. Ghanizadeh. 2017. A new approach based on instantaneous power theory for improving the performance of UPQC under unbalanced and distortional load conditions. Automatika, Journal for Control, Measurement, Electronics, Computing and Communications 56 (2): 226–37. doi:10.7305/automatika.2015.07.750.
📄 Abdusalama, M., P. Poureb, S. Karimia, and S. Saadatea. 2009. New digital reference current generation for shunt active power filter under distorted voltage conditions. Vol. 79: 759–65.
📄 Samal, S., and P. K. Hota. 2017. Design and analysis of solar PV-fuel cell and wind energy based microgrid system for power quality improvement. Cogent Engineering 4: 1–22.
📄 Vinothkumar, V., and R. Kanimozhi. 2021. Power flow control and power quality analysis in power distribution system using UPQC based cascaded multi level inverter with predictive phase dispersion modulation method. Journal of Ambient Intelligence and Humanized Computing 12: 6445–63.
📄 Srilakshmi, K., K. K. Jyothi, G. Kalyani, and Y. S. P. Goud. 2023. Design of UPQC with solar PV and battery storage systems for power quality improvement. Cybernetics and Systems: An International Journal, March-2023.
📄 Nagireddy, V. V., V. R. Kota, and D. V. Ashok Kumar. 2014. Hybrid fuzzy back-propagation control scheme for multilevel unified power quality conditioner. Ain Shams Engineering Journal 9 (4): 2709–24. doi:10.1016/j.asej.2017.09.004.
📄 Srilakshmi, K., C. N. Sujatha, P. K. Balachandran, L. Mihet-Popa, and N. U. Kumar. 2022. Optimal Design of an Artificial Intelligence Controller for Solar-Battery Integrated UPQC in Three Phase Distribution Networks. Sustainability 14 (21).
📄 Srilakshmi, K., N. Srinivas, P. K. Balachandran, J. G. P. Reddy, S. Gaddameedhi, N. Valluri, and S. Selvarajan. 2022. Design of soccer league optimization based hybrid controller for solar-battery integrated UPQC. IEEE Access 10: 107116–36.
📄 Ayadi, F., I. Colak, I. Garip, and H. Bulbul. 2020. Impacts of Renewable Energy Resources in Smart Grid. In 8th International Conference on Smart Grid, Paris, pp. 183-188, June 2020.
📄 Colak, I., R. Bayindir, and S. Sagiroglu. 2020. The effects of the smart grid system on the national grids. In 8th International Conference on Smart Grid, Paris, pp. 122-126, June 2020.
📄 Jaber, S., and A. M. Shakir. 2021. Design and simulation of a boost-microinverter for optimized photovoltaic system performance. International Journal of Smart Grid 5 (2): 1–9.
📄 Dash, S. S. 2017. Tutorial 1: Opportunities and challenges of integrating renewable energy sources in smart. In 6th International Conference on Renewable Energy Research and Applications, San Diego, CA, USA, 5-8 Nov. 2017.
📄 Tsai, M., C. Chu, and W. Chen. 2018. Implementation of a serial ac/dc converter with modular control technology. In 7th International Conference on Renewable Energy Research and Applications, Paris, France, pp. 245-250, Oct. 2018.
📄 Belkaid, A., I. Colak, K. Kayisli, and R. Bayindir. 2020. Improving PV system performance using high efficiency fuzzy logic control. In 8th International Conference on Smart Grid, Paris, pp.152-156, June 2020.

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