TY - JOUR
T1 - Decentralized High-Performance Control of DC Microgrids
AU - Wang, Cheng
AU - Duan, Jiajun
AU - Fan, Bo
AU - Yang, Qinmin
AU - Liu, Wenxin
N1 - Funding Information:
Manuscript received March 2, 2017; revised September 1, 2017 and February 16, 2018; accepted April 5, 2018. Date of publication April 9, 2018; date of current version April 19, 2019. This work was supported in part by the U.S. Office of Naval Research under Grant N00014-16-1-3121 and Grant N00014-18-1-2185, and in part by the National Natural Science Foundation of China under Grant 61673347 and Grant 61751205. Paper no. TSG-00310-2017. (Corresponding author: Wenxin Liu.) C. Wang, J. Duan, and W. Liu are with the Department of Electrical and Computer Engineering, Lehigh University, Bethlehem, PA 18015 USA (e-mail: [email protected]; [email protected]; [email protected]).
Publisher Copyright:
© 2010-2012 IEEE.
Copyright:
Copyright 2019 Elsevier B.V., All rights reserved.
PY - 2019/5
Y1 - 2019/5
N2 - Direct current (dc) microgrids have been widely used in many critical applications. Such systems avoid unnecessary ac/dc conversions and can simplify control design. To achieve high-performance control of such system, advanced control algorithm needs to be designed. This paper presents a novel decentralized output constrained control algorithm for single-bus dc microgrids. The control objectives are to realize high-performance control of dc bus voltage, user-defined load sharing, and circulating current minimization. Unlike conventional control algorithms, the control algorithm can guarantee not only convergence but also bounded transient tracking error. By transforming the constrained system into an unconstrained system, the transient response of dc bus voltage can always stay within user-defined, time-varying bounds. Convergence of the transformed system can meet any transient performance requirement of the original system. Through proper control effort distribution, overall load demand can be shared among the distributed generators (DGs) according to predefined percentages. Accurate load sharing can indirectly minimize the harmful circulating currents among the DGs. Switch-level simulation and hardware experimentation with both single-bus and multiple-bus dc microgrids demonstrate the effectiveness of the proposed control design.
AB - Direct current (dc) microgrids have been widely used in many critical applications. Such systems avoid unnecessary ac/dc conversions and can simplify control design. To achieve high-performance control of such system, advanced control algorithm needs to be designed. This paper presents a novel decentralized output constrained control algorithm for single-bus dc microgrids. The control objectives are to realize high-performance control of dc bus voltage, user-defined load sharing, and circulating current minimization. Unlike conventional control algorithms, the control algorithm can guarantee not only convergence but also bounded transient tracking error. By transforming the constrained system into an unconstrained system, the transient response of dc bus voltage can always stay within user-defined, time-varying bounds. Convergence of the transformed system can meet any transient performance requirement of the original system. Through proper control effort distribution, overall load demand can be shared among the distributed generators (DGs) according to predefined percentages. Accurate load sharing can indirectly minimize the harmful circulating currents among the DGs. Switch-level simulation and hardware experimentation with both single-bus and multiple-bus dc microgrids demonstrate the effectiveness of the proposed control design.
KW - DC microgrid
KW - distributed generator
KW - load sharing
KW - output-constrained control
KW - transient performance
UR - http://www.scopus.com/inward/record.url?scp=85045213885&partnerID=8YFLogxK
U2 - 10.1109/TSG.2018.2825199
DO - 10.1109/TSG.2018.2825199
M3 - Journal article
AN - SCOPUS:85045213885
SN - 1949-3053
VL - 10
SP - 3355
EP - 3363
JO - IEEE Transactions on Smart Grid
JF - IEEE Transactions on Smart Grid
IS - 3
M1 - 5165411
ER -