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Dual degree branched type-2 fuzzy controller optimized with a hybrid algorithm for frequency regulation in a triple-area power system integrated with renewable sources

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Protection and Control of Modern Power Systems 2023年第3期8卷 196-224页

作者： Nisha Kumari pulakraj aryan G.Lloyds Raja Yogendra Arya Department of Electrical Engineering Indian Institute of Technology(Indian School of Mines)DhanbadIndia Department of Electrical Engineering National Institute of TechnologyPatnaIndia Department of Electrical Engineering J.C.Bose University of Science and TechnologyYMCAFaridabadHaryanaIndia

The uncertainties associated with multi-area power systems comprising both thermal and distributed renewable generation(DRG)sources such as solar and wind necessitate the use of an efficient load frequency control(LFC)***,a hybrid version of two metaheuristic algorithms(arithmetic optimization and African vulture’s optimization algorithm)is *** is called the‘arithmetic optimized African vulture’s optimization algorithm(AOAVOA)’.This algorithm is used to tune a novel type-2 fuzzy-based proportional–derivative branched with dual degree-of-freedom proportional–integral–derivative controller for the LFC of a three-area hybrid deregulated power ***,electric vehicle(EV),and DRG sources(including a solar panel and a wind turbine system)are con-nected in ***-2 involves thermal and gas-generating units(GUs),while thermal and geothermal units are linked in *** restrictions such as thermo-boiler dynamics,thermal-governor dead-band,and genera-tion rate constraints are also *** proposed LFC method is compared to other controllers and optimizers to demonstrate its superiority in rejecting step and random load *** functioning as energy storage ele-ments,EVs and DRG units can enhance dynamic responses during peak *** a result,the effect of the afore-mentioned units on dynamic reactions is also *** validate its effectiveness,the closed-loop system is subjected to robust stability analysis and is compared to various existing control schemes from the *** is determined that the suggested AOAVOA improves fitness by 40.20%over the arithmetic optimizer(AO),while fre-quency regulation is improved by 4.55%over an AO-tuned type-2 fuzzy-based branched controller.

关键词： Load frequency control Distributed generation Energy storage devices Type-2 fuzzy proportional-derivative branched with dual-degree-of-freedom proportional-integral-derivative controller Hybrid arithmetic optimized African vulture’s optimization algorithm

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