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Fuzzy PID Control of Microgrids

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Microgrid Architectures, Control and Protection Methods

Part of the book series: Power Systems ((POWSYS))

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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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Correspondence to Hossein Shayeghi .

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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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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-23722-6

  • Online ISBN: 978-3-030-23723-3

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