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Robust frequency control in a standalone microgrid: An adaptive fuzzy based fractional order cascade PD‐PI approach
Author(s) -
Annamraju Anil,
Bhukya Laxman,
Nandiraju Srikanth
Publication year - 2021
Publication title -
advanced control for applications: engineering and industrial systems
Language(s) - English
Resource type - Journals
ISSN - 2578-0727
DOI - 10.1002/adc2.72
Subject(s) - control theory (sociology) , microgrid , automatic frequency control , controller (irrigation) , pid controller , blackout , cascade , fuzzy logic , computer science , electric power system , control engineering , robust control , automatic generation control , power (physics) , control system , engineering , control (management) , temperature control , telecommunications , chemical engineering , physics , electrical engineering , quantum mechanics , agronomy , biology , artificial intelligence
In addition to low system inertia and stochastic nature of the load, the intermittent nature of renewable output power causes hefty frequency deviations in a standalone microgrid (SMG) that lead to weakening and blackout of SMG. Hence in the SMG, the frequency control issue is always a challenging issue for the operators. To enhance the frequency stability of MG, the control action needs to be more efficient and robust. To answer the above challenge, in this article, a novel adaptive fuzzy based fractional order cascade PD‐PI controller is proposed for frequency control of SMG. The proposed controller inherits the merits of both fuzzy and fractional order cascade PD‐PI controllers by ignoring the individual limitations. The parameters of the proposed controller are tuned using a recently developed future search algorithm. The proposed controller is tested against various load and renewable disturbances on a real‐time MG test system. The simulation outcomes reveal that the proposed controller and algorithm enhance the dynamic response of SMG significantly compared to various powerful controllers in the literature. Moreover, the proposed controller performance is more robust to the uncertainties in the MG and energy storage system as compared to the various robust controllers in the literature.