Voltage Stabilization of A DC-Microgrid Using ANFIS Controller Considering EVs, DER, and Transient Storage
Hussein Zolfaghari, Hossein Karimi, Hamidreza Momeni
TL;DR
This paper proposes an ANFIS controller for voltage stabilization in a DC microgrid, integrating EVs, DERs, and transient storage, optimized via fuzzy and metaheuristic algorithms.
Contribution
It introduces a novel ANFIS-based control strategy that considers EVs, DERs, and storage for improved voltage stability in DC microgrids.
Findings
Enhanced voltage stability demonstrated under various load conditions.
Effective integration of EVs and DERs improves microgrid performance.
Optimization via fuzzy and metaheuristic algorithms reduces control errors.
Abstract
In this paper, a DC microgrid will be considered to optimize the operation of this microgrid under a combination of Fuzzy and metaheuristic algorithms. Keywords: DC Microgrid, Fuzzy Inference System, Stochastic Power Resource, Particle Swarm Optimization, Battery, Electrical Vehicles, DERs
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Taxonomy
TopicsMicrogrid Control and Optimization · Smart Grid Energy Management · Optimal Power Flow Distribution