Self-tuning Fuzzy PID Controller Design and Energy Management in DC Microgrid: Standalone and Grid Connected Mode

Year 2022, Volume: 18 Issue: 1, 41 - 51, 25.03.2022

Ahmet Kaysal , Selim Köroğlu , Yüksel Oğuz

https://doi.org/10.18466/cbayarfbe.832874

Cited By: 1

Abstract

This paper presents a control system and energy management strategy with a standalone and grid-connected mode in the microgrid. The microgrid is energized by distributed generation system of a photovoltaic panel, wind turbine and lithium-ion batteries. In this paper, the controller structure for regulating the voltage regulation in this microgrid consisting of renewable energy sources and battery system is covered. Overshoot, rise time, settling performances of designed self-tuning fuzzy proportional-integral-derivative controller and conventional proportional-integral-derivative controller examined comparatively. In addition, an energy management system has been proposed for loads which fed in the microgrid. Here, the aim is to make maximum use of renewable energy sources as much as possible, to maintaining voltage regulation and to ensure continuity in the feeding of the critical load. The system switches between the standalone and grid-connected modes if necessary. A model of the microgrid's dynamic behavior was constructed and it is simulated in the MATLAB®/Simulink environment. The results show that despite the changes in the production and load side of the grid, voltage and frequency oscillations are stabilized within a short time and allowed tolerance limits.

Keywords

Fuzzy controller, microgrid, photovoltaic array, renewable energy system, wind turbine

References

• Merabet, A, Tawfique, KA, Ibrahim, H, Beguenane, R and Ghias, AMYM. 2017. Energy Management and Control System for Laboratory Scale Microgrid Based Wind-PV-Battery. IEEE Transactions on Sustainable Energy; 8(1): 145-154.
• Bai, W and Lee, K. 2014. Distributed Generation System Control Strategies in Microgrid Operation. IFAC Proceedings; 47(3): 11938-11943.
• El-Bidairi, KS, Nguyen, HD, Jayasinghe, SDG, Mahmoud, TS, Penesis, I. 2018. A hybrid energy management and battery size optimization for standalone microgrids: A case study for Flinders Island, Australia. Energy Conversion and Management; 175: 192-212.
• Tummuru, NR, Mishra MK and Srinivas, S. 2015. An Improved Current Controller for Grid Connected Voltage Source Converter in Microgrid Applications. IEEE Transactions on Sustainable Energy, 6(2): 595-605.
• Bhosale, R and Agarwal, V. 2019. Fuzzy Logic Control of the Ultracapacitor Interface for Enhanced Transient Response and Voltage Stability of a DC Microgrid. IEEE Transactions on Industry Applications; 55(1):712-720.
• Kim, JY, Kim, HM, Kim, SK, Jeon, JH, Choi, HK. 2019. Designing an Energy Storage System Fuzzy PID Controller for Microgrid Islanded Operation. Energies; 4(9):1443-1460.
• Vigneysh, T and Kumarappan, N. Stability analysis and dynamic performance enhancement of autonomous microgrid using adaptive fuzzy PI controller, IEEE Congress on Evolutionary Computation (CEC), San Sebastian, 2017, pp. 1199-1206.
• Bayhan, S, Demirbas, S and Abu-Rub, H. 2016. Fuzzy-PI-based sensorless frequency and voltage controller for doubly fed induction generator connected to a DC microgrid. IET Renewable Power Generation; 10(8):1069-1077.
• Anantwar, H, Lakshmikantha, BR and Sundar, S 2017. Fuzzy self-tuning PI controller based inverter control for voltage regulation in off-grid hybrid power system. Energy Procedia; 117:409-416.
• Saroha, J, Singh, M and Jain, DK. 2018. ANFIS-Based Add-On Controller for Unbalance Voltage Compensation in a Low-Voltage Microgrid. IEEE Transactions on Industrial Informatics; 14(12):5338-5345.
• Chauhan, RK, Rajpurohit, BS, Hebner, RE, Singh, SN and Longatt, FMG. Design and analysis of PID and fuzzy-PID controller for voltage control of DC microgrid, IEEE Innovative Smart Grid Technologies, Asia, Bangkok, 2015, pp. 1-6.
• Hu, J, Shan, Y, Xu, Y, Guerrero, JM. 2019. A coordinated control of hybrid ac/dc microgrids with PV-wind-battery under variable generation and load conditions. International Journal of Electrical Power & Energy Systems; 104:583-592.
• Jayachandran, M, Ravi, G. 2019. Predictive power management strategy for PV/battery hybrid unit based islanded AC microgrid. International Journal of Electrical Power & Energy Systems; 110:487-496.
• Almada, JB, Leão, RPS, Sampaio, RF, Barroso, GC. 2016. A centralized and heuristic approach for energy management of an AC microgrid. Renewable and Sustainable Energy Reviews; 60:1396-1404.
• Tuckey, A, Zabihi, S and Round, S. Decentralized control of a microgrid, 19th European Conference on Power Electronics and Applications, Warsaw, 2017, pp. 1-10.
• Feng, X, Shekhar, A, Yang, F, Hebner RE and Bauer, P. 2017. Comparison of Hierarchical Control and Distributed Control for Microgrid. Electric Power Components and Systems; 45(10):1043-1056.
• Yazdanian, M and Mehrizi-Sani, A. 2014. Distributed Control Techniques in Microgrids. IEEE Transactions on Smart Grid; 5(6):2901-2909.
• Sen, S, Kumar, V. 2018. Microgrid control: A comprehensive survey. Annual Reviews in Control; 45:118-151.
• Rajesh, KS, Dash, SS, Rajagopal, R, Sridhar, R. 2017. A review on control of ac microgrid. Renewable and Sustainable Energy Reviews; 71:814-819.
• Unamuno, E, Barrena, JA. 2015. Hybrid ac/dc microgrids—Part II: Review and classification of control strategies. Renewable and Sust1ainable Energy Reviews; 52:1123-1134.
• Ziouani, I, Boukhetala, D, Darcherif, AM, Amghar, B, El Abbassi, I. 2018. Hierarchical control for flexible microgrid based on three-phase voltage source inverters operated in parallel, International Journal of Electrical Power & Energy Systems; 95:188-201.
• Mohamed, AA, Elsayed, AT, Youssef, TA, Mohammed, OA. 2017. Hierarchical control for DC microgrid clusters with high penetration of distributed energy resources. Electric Power Systems Research; 148:210-219.
• Wu, B, Lang, Y, Zargari, N and Kouro, S. Power Conversion and Control of Wind Energy Systems; Hoboken, NJ, USA: John Wiley & Sons, 2011.
• Rashid, MH. Power Electronics Devices, Circuits and Aplications, Prentice Hall, Englewood Cliffs, New Jersey, 2003.
• Bingi, K, Ibrahim, R, Karsiti MN and Hassan, SM. Fuzzy gain scheduled set-point weighted PID controller for unstable CSTR systems, IEEE International Conference on Signal and Image Processing Applications, 2017, pp. 289-293.
• Santos, P, Fonte P and Luis, R. Improvement of DC Microgrid Voltage Regulation Based on Bidirectional Intelligent Charging Systems, 15th International Conference on the European Energy Market, Lodz, 2018, pp. 1-6.
• Seme, S, Lukač, N, Štumberger, B, Hadžiselimović, M. 2017. Power quality experimental analysis of grid-connected photovoltaic systems in urban distribution networks. Energy, 139:1261-1266.
• Oliveira, WR, Anésio, LF, Filho, JC. 2019. A contribution for the measuring process of harmonics and interharmonics in electrical power systems with photovoltaic sources. International Journal of Electrical Power & Energy Systems; 104:481-488.