Load Frequency Control of a Single Area System Using Fuzzy Logic Controller and Comparison with Integral and PID Controller
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Abstract
Today's power system is massive, complex and very dynamic. With innovations such as power electronics and renewable energy integration, the power system becomes more complex. Controlling the frequency with respect to load is most important in a power system because the system will lose its synchronism if the frequency changes. When the load demand is greater than the actual power generated, then the system frequency goes down and this condition is called under frequency condition. In some other cases when the load decreases then the system frequency will go up and this condition is called the over-frequency condition. In both cases, the system frequency fluctuates from its normal frequency range. This paper demonstrates the use of a fuzzy logic controller in a single area system to control the change in load frequency and a comparison with traditional (INTEGRAL AND PID) controllers. The simulation of the entire system is performed on the MATLAB Simulink.
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Load frequency control strategies: A state-of-the-art survey for the researcher. Shayeghi, HASH and Shayanfar, HA and Jalili, A. 2009, Energy Conversion and management, pp. 344--353. https://doi.org/10.1016/j.enconman.2008.09.014
Primary and secondary frequency control in an autonomous microgrid supported by a load-shedding strategy. Raghami, Alireza and Ameli, Mohammad Taghi and Hamzeh, Mohsen. s.l. : IEEE, 2013. 4th Annual International power electronics, Drive systems and Technologies Conference. pp. 282--287.
Fundamentals of load frequency control in power system. Mishraa, Dillip Kumar and Lia, Li and Zhangb, Jiangfeng and Hossaina, Md Jahangir. 2013, Power System Frequency Control: Modeling and Advances, p. 1.
Limitations and countermeasures of PID controllers. Sung, Su Whan and Lee, In-Beum. 1996, Industrial & engineering chemistry research, pp. 2596--2610. https://doi.org/10.1021/ie960090+
Jager, Rene. Fuzzy logic in control. s.l. : Rene Jager, 1995.
Ross, Timothy J. Fuzzy logic with engineering applications. s.l. : John Wiley & Sons, 2009.
Dynamic Response of Multi Area Load Frequency Control through Different Computational Techniques. Dhamanda, A and Dutt, A. 2022, Indian Journal of Science and Technology, pp. 1264--1273. https://doi.org/10.17485/IJST/v15i25.155
Yen, John. Fuzzy logic: intelligence, control, and information. s.l. : Pearson Education India, 1999.
Load frequency control strategies: A state-of-the-art survey for the researcher. Shayeghi, HASH and Shayanfar, HA and Jalili, A. 2009, Energy Conversion and management, pp. 344--353. https://doi.org/10.1016/j.enconman.2008.09.014
Primary and secondary frequency control in an autonomous microgrid supported by a load-shedding strategy. Raghami, Alireza and Ameli, Mohammad Taghi and Hamzeh, Mohsen. s.l. : IEEE, 2013. 4th Annual International power electronics, Drive systems and Technologies Conference. pp. 282--287.
Fundamentals of load frequency control in power system. Mishraa, Dillip Kumar and Lia, Li and Zhangb, Jiangfeng and Hossaina, Md Jahangir. 2013, Power System Frequency Control: Modeling and Advances, p. 1.
Limitations and countermeasures of PID controllers. Sung, Su Whan and Lee, In-Beum. 1996, Industrial & engineering chemistry research, pp. 2596--2610. https://doi.org/10.1021/ie960090+
Jager, Rene. Fuzzy logic in control. s.l. : Rene Jager, 1995.
Ross, Timothy J. Fuzzy logic with engineering applications. s.l. : John Wiley & Sons, 2009.
Dynamic Response of Multi Area Load Frequency Control through Different Computational Techniques. Dhamanda, A and Dutt, A. 2022, Indian Journal of Science and Technology, pp. 1264--1273. https://doi.org/10.17485/IJST/v15i25.155
Yen, John. Fuzzy logic: intelligence, control, and information. s.l. : Pearson Education India, 1999.
S.Ravi kumar, R.P Das, A.Sampath Dakshina Murthy, K.Sunil kumar, Fuzzy Logic Based Trajectory Tracking Controller. (2019). In International Journal of Innovative Technology and Exploring Engineering (Vol. 8, Issue 6S4, pp. 1250–1253). https://doi.org/10.35940/ijitee.f1256.0486s419
K.Kavitha, R.Muruganandham, J.Dinesh, A.Mohammed Raheel Basha, An Efficeint Operations Management Strategy using Fuzzy Logic Decision Making Based Shop Floor Control Technique. (2019). In International Journal of Recent Technology and Engineering (Vol. 8, Issue 2S4, pp. 629–631). https://doi.org/10.35940/ijrte.b1125.0782s419
Usman, H., & Magaji, N. (2023). Interval Type - 2 Fuzzy Logic Controller Based Shunt Active Power Filter for Power Quality Enhencement. In International Journal of Engineering and Advanced Technology (Vol. 13, Issue 1, pp. 68–73). https://doi.org/10.35940/ijeat.a4299.1013123
Hassan, M. O., & Alajab, I. S. (2022). Sudan National Grid Contingency Ranking Through Fuzzy Logic Approach. In International Journal of Advanced Engineering and Nano Technology (Vol. 9, Issue 4, pp. 1–7). https://doi.org/10.35940/ijaent.c0468.049422
Aditya Vishwakarma, R. S. Mandloi, Enhancement of Electrical Power Quality for Three phase AC System using fuzzy Logic Based Active Power Filter. (2020). In International Journal of Innovative Science and Modern Engineering (Vol. 6, Issue 11, pp. 1–6). https://doi.org/10.35940/ijisme.i1257.1161120