Abstract
The purpose of this chapter is design and application of intelligent methods based on the fuzzy logic (FL) type PID controller for adaptive controlling of the microgrids. The traditional structure of the power systems is being changed continuously due to environmental limitations and depreciated infrastructures. The creation of distinct electrical boundaries between different areas of the power system with the ability to connect/disconnect and locating distributed generation (DG) resources near the load points has transformed the face of power systems. In this situation, power systems can be considered as a set of multiple microgrids that work in conjunction with each other in a coordinated manner. Although, in this case, the power system’s efficiency is increased, but its control is faced with bigger challenges. Coordination between microgrids, resource scheduling in the islanding and main utility-connected modes, exchanging power between different microgrids, and etc., are the reasons that necessitate the use of adaptive control methods for controlling such power systems. In this chapter, adaptive controlling mechanisms based on FL based PID control will be discussed in detail. FL based controllers are expanding due to their simple structure, easy implementation and adaptive behavior. This kind of controllers has a superb performance in controlling large-scale complex systems with high degree of nonlinearities by using their membership functions and fuzzy rules. Here, different control strategies based on Fuzzy PID type controller will be described and discussed for controlling microgrids.
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References
S. Teimourzadeh, F. Aminifar, M. Davarpanah, M. Shahidehpour, Adaptive control of microgrid security. IEEE Trans. Smart Grid 9, 3909–3910 (2018)
M.S. Sadabadi, Q. Shafiee, A. Karimi, Plug-and-play voltage stabilization in inverter-interfaced microgrids via a robust control strategy. IEEE Trans. Control Syst. Technol. 25, 781–791 (2017)
D.O. Amoateng, M.A. Hosani, M.S. Elmoursi, K. Turitsyn, J.L. Kirtley, Adaptive voltage and frequency control of islanded multi-microgrids. IEEE Trans. Power Syst. 33, 4454–4465 (2018)
X. Xiang, C. Yu, L. Lapierre, J. Zhang, Q. Zhang, Survey on fuzzy-logic-based guidance and control of marine surface vehicles and underwater vehicles. Int. J. Fuzzy Syst. 20, 572–586 (2018)
G. Feng, C. Lai, N.C. Kar, A closed-loop fuzzy-logic-based current controller for PMSM torque ripple minimization using the magnitude of speed harmonic as the feedback control signal. IEEE Trans. Ind. Electron. 64, 2642–2653 (2017)
D. Arcos Aviles, J. Pascual, L. Marroyo, P. Sanchis, F. Guinjoan, Fuzzy logic-based energy management system design for residential grid-connected microgrids. IEEE Trans. Smart Grid 9, 530–543 (2018)
H. Shayeghi, A. Younesi, Y. Hashemi, Optimal design of a robust discrete parallel FP + FI + FD controller for the automatic voltage regulator system. Int. J. Electr. Power Energy Syst. 67, 66–75 (2015)
H. Shayeghi, A. Younesi, A robust discrete FuzzyP + FuzzyI + FuzzyD load frequency controller for multi-source power system in restructuring environment. J. Oper. Autom. Power Eng. 5, 61–74 (2017)
V. Kumar, A.P. Mittal, Parallel FuzzyP + FuzzyI + FuzzyD controller: design and performance evaluation. Int. J. Autom. Comput. 7, 463–471 (2010)
S. Mirjalili, A.H. Gandomi, S.Z. Mirjalili, S. Saremi, H. Faris, S.M. Mirjalili, Salp swarm algorithm: a bio-inspired optimizer for engineering design problems. Adv. Eng. Softw. 114, 163–191 (2017)
J.J. Castillo Zamora, K.A. Camarillo Gomez, G.I. Perez Soto, J. Rodriguez Resendiz, Comparison of PD, PID and sliding-mode position controllers for V–tail quadcopter stability. IEEE Access 6, 38086–38096 (2018)
J.X. Xu, C.C. Hang, C. Liu, Parallel structure and tuning of a fuzzy PID controller. Automatica 36, 673–684 (2000)
V. Kumar, B.C. Nakra, A.P. Mittal, Some investigations on FuzzyP + FuzzyI + FuzzyD controller for non-stationary process. Int. J. Autom. Comput. 9, 449–458 (2012)
V. Kumar, A.P. Mittal, R. Singh, Stability analysis of parallel FuzzyP + FuzzyI + FuzzyD control systems. Int. J. Autom. Comput. 10, 91–98 (2014)
P. Mahat, Z. Chen, B. Bak Jensen, Control and operation of distributed generation in distribution systems. Electr. Power Syst. Res. 81, 495–502 (2011)
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Shayeghi, H., Younesi, A. (2020). Fuzzy PID Control of Microgrids. In: Mahdavi Tabatabaei, N., Kabalci, E., Bizon, N. (eds) Microgrid Architectures, Control and Protection Methods. Power Systems. Springer, Cham. https://doi.org/10.1007/978-3-030-23723-3_23
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DOI: https://doi.org/10.1007/978-3-030-23723-3_23
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