Abstract—In this paper a decentralized power regulation approach is presented for DC-DC converters operating in microgrids. The method enables classical droop control to perform power regulation tasks by employing auto-adaptive virtual resistances for the controlled devices. The approach is formalized as a multi-objective optimization problem, with dynamic constraints, whose solution is entrusted to a method based on dynamic system theory and Lyapunov theory. Simulations are carried out on a test DC microgrid, in order to prove the approach effectiveness.
A Decentralized Power Regulation Approach for DC Microgrids
Montegiglio, Pasquale
;Acciani, Giuseppe;Dicorato, Maria;Forte, Giuseppe;Marasciuolo, Francesca
2021-01-01
Abstract
Abstract—In this paper a decentralized power regulation approach is presented for DC-DC converters operating in microgrids. The method enables classical droop control to perform power regulation tasks by employing auto-adaptive virtual resistances for the controlled devices. The approach is formalized as a multi-objective optimization problem, with dynamic constraints, whose solution is entrusted to a method based on dynamic system theory and Lyapunov theory. Simulations are carried out on a test DC microgrid, in order to prove the approach effectiveness.File in questo prodotto:
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