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A unified distributed robust control framework for power sharing of grid‐connected dispatchable distributed generator cluster
Author(s) -
Su Youfeng,
Tu Zhenpan,
Cai He
Publication year - 2020
Publication title -
advanced control for applications: engineering and industrial systems
Language(s) - English
Resource type - Journals
ISSN - 2578-0727
DOI - 10.1002/adc2.47
Subject(s) - dispatchable generation , computer science , grid , microgrid , controller (irrigation) , distributed computing , parametric statistics , cluster (spacecraft) , decentralised system , lyapunov function , control theory (sociology) , robust control , control (management) , distributed generation , control engineering , power (physics) , control system , engineering , mathematics , physics , geometry , quantum mechanics , artificial intelligence , statistics , electrical engineering , nonlinear system , agronomy , biology , programming language
Summary In this paper, a unified distributed robust control framework is proposed to address the power sharing problem for a cluster of dispatchable distributed generators (DDGs) within a grid‐connected AC microgrid. In contrast to the existing results, the advantages of the proposed control design are threefold. First, the unified design can directly handle the dynamics of the closed‐loop system by Lyapunov analysis without the assumption on time scale separation. Second, the canonical internal model is adopted so that the controller is able to undertake arbitrarily large parametric uncertainties. Last not least, the associated control gains can be obtained once and for all following the standard procedure. Comprehensive numerical simulations are provided for performance validation.