Open AccessDistributed control of multi‐time scale DC microgrid based on ADRC
Author(s) -
Yang Nanfang,
Gao Fei,
Paire Damien,
Miraoui Abdellatif,
Liu Weiguo
Publication year - 2017
Publication title -
iet power electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.637
H-Index - 77
eISSN - 1755-4543
pISSN - 1755-4535
DOI - 10.1049/iet-pel.2016.0101
Subject(s) - microgrid , voltage droop , converters , control theory (sociology) , computer science , reduction (mathematics) , power (physics) , stability (learning theory) , voltage , decentralised system , distributed generation , engineering , control engineering , control (management) , voltage source , electrical engineering , mathematics , renewable energy , artificial intelligence , physics , geometry , quantum mechanics , machine learning
DC microgrid can obtain high efficiency due to the reduction of power processes from DC to AC at the generation side and from AC to DC at the consumption side. The distributed generators connected to DC‐bus via power converters usually have different dynamic characteristics, this leads to a multi‐time scale DC microgrid. This study proposes a time scale voltage droop control based on active disturbance rejection control (ADRC). It is not sensitive to system model uncertainties and external disturbances, moreover system dynamics can be tuned explicitly. Based on the proposed control method, a reduced‐order model is developed to analyse system stability. Some experimental tests carried out in the authors’ laboratory have verified the effectiveness of the proposed method.