TY - GEN
T1 - Line Resistance Identification-Based Adaptive Droop Control for Distribution Power Loss Minimization of DC Microgrids
AU - Jiang, Yajie
AU - Yang, Yun
AU - Tan, Siew Chong
AU - Ron Hui, Shu Yuen
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/5/24
Y1 - 2021/5/24
N2 - In this paper, the distribution power loss of DC microgrids comprising both line loss and converter loss is modelled as a quadratic function of current allocation coefficients, which is a convex function with constraints. On basis of convex optimization theory, the optimal current allocation coefficients are on-line calculated by Lagrange multiplier method. Then, an adaptive virtual resistance droop control (AVRDC) is proposed to achieve the given current-sharing rate. In the proposed control, the current-sharing error generates additional adaptive virtual resistance. It is known that the sum of virtual resistance and line resistance should be in inverse proportion to current distribution coefficient. By sampling data of two control periods, the line resistance can be identified in real time. In this way, the real-time efficiency optimization control of DC microgrid can be realized, regardless of line resistance variations. The effectiveness of the proposed control strategy is validated by both simulation and experimental results.
AB - In this paper, the distribution power loss of DC microgrids comprising both line loss and converter loss is modelled as a quadratic function of current allocation coefficients, which is a convex function with constraints. On basis of convex optimization theory, the optimal current allocation coefficients are on-line calculated by Lagrange multiplier method. Then, an adaptive virtual resistance droop control (AVRDC) is proposed to achieve the given current-sharing rate. In the proposed control, the current-sharing error generates additional adaptive virtual resistance. It is known that the sum of virtual resistance and line resistance should be in inverse proportion to current distribution coefficient. By sampling data of two control periods, the line resistance can be identified in real time. In this way, the real-time efficiency optimization control of DC microgrid can be realized, regardless of line resistance variations. The effectiveness of the proposed control strategy is validated by both simulation and experimental results.
KW - Convex optimization
KW - DC microgrid
KW - distributed energy resource (DER)
KW - distribution loss
KW - Lagrange multiplier
UR - http://www.scopus.com/inward/record.url?scp=85114208119&partnerID=8YFLogxK
U2 - 10.1109/ECCE-Asia49820.2021.9479467
DO - 10.1109/ECCE-Asia49820.2021.9479467
M3 - Conference article published in proceeding or book
AN - SCOPUS:85114208119
T3 - Proceedings of the Energy Conversion Congress and Exposition - Asia, ECCE Asia 2021
SP - 1891
EP - 1897
BT - Proceedings of the Energy Conversion Congress and Exposition - Asia, ECCE Asia 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 12th IEEE Energy Conversion Congress and Exposition - Asia, ECCE Asia 2021
Y2 - 24 May 2021 through 27 May 2021
ER -