A Distributed control framework for the optimal operation of DC microgrids

Conference Paper (2022)
Author(s)

Zao Fu (Rijksuniversiteit Groningen, Southeast University)

Michele Cucuzzella (Pavia University)

Carlo Cenedese (ETH Zürich)

Wenwu Yu (Southeast University)

Jacquelien M.A. Scherpen (Rijksuniversiteit Groningen)

Affiliation
External organisation
DOI related publication
https://doi.org/10.1109/CDC51059.2022.9992327
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Publication Year
2022
Language
English
Affiliation
External organisation
Pages (from-to)
4585-4590
ISBN (electronic)
9781665467612

Abstract

In this paper we propose an original distributed control framework for DC microgrids. We first formulate the (optimal) control objectives as an aggregative game suitable for the energy trading market. Then, based on duality, we analyze the equivalent distributed optimal condition for the proposed aggregative game and design a distributed control scheme to solve it. By interconnecting the DC microgrid and the designed distributed control system in a power preserving way, we steer the DC microgrid's state to the desired optimal equilibrium, satisfying a predefined set of local and coupling constraints. Finally, based on singular perturbation system theory, we analyze the convergence of the closed-loop system. The simulation results show excellent performance of the proposed control framework.

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