TY - GEN
T1 - Power Loss Mitigation of Parallel-Connected Distributed Energy Resources in DC Microgrids Using a Dual-Ascent Hierarchical Control
AU - Jiang, Yajie
AU - Yang, Yun
AU - Tan, Siew Chong
AU - Hui, Shu Yuen Ron
N1 - Funding Information:
This work was supported by the Start-up Fund for RAPs under the Strategic Hiring Scheme of PolyU P0036194.
Publisher Copyright:
© 2021 IEEE.
PY - 2021/12/2
Y1 - 2021/12/2
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 dual ascent method. In the centralized iterative approach, the incremental of current allocation coefficients are moved in the direction of minimizing the augmented loss function. Then, an adaptive droop control is proposed to achieve the given current-sharing rate. In the proposed control, the current-sharing error generates additional adaptive bus voltage term. By sharing one common bus, the function between reference voltages and output currents of DERs can be obtained by ohm's law. 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 simulation studies.
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 dual ascent method. In the centralized iterative approach, the incremental of current allocation coefficients are moved in the direction of minimizing the augmented loss function. Then, an adaptive droop control is proposed to achieve the given current-sharing rate. In the proposed control, the current-sharing error generates additional adaptive bus voltage term. By sharing one common bus, the function between reference voltages and output currents of DERs can be obtained by ohm's law. 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 simulation studies.
KW - Convex optimization
KW - DC microgrid
KW - distributed energy resource (DER)
KW - distribution loss
KW - dual ascent
UR - http://www.scopus.com/inward/record.url?scp=85123371154&partnerID=8YFLogxK
U2 - 10.1109/ICPSAsia52756.2021.9621706
DO - 10.1109/ICPSAsia52756.2021.9621706
M3 - Conference article published in proceeding or book
AN - SCOPUS:85123371154
T3 - 2021 IEEE IAS Industrial and Commercial Power System Asia, I and CPS Asia 2021
SP - 470
EP - 475
BT - 2021 IEEE IAS Industrial and Commercial Power System Asia, I and CPS Asia 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE IAS Industrial and Commercial Power System Asia, I and CPS Asia 2021
Y2 - 18 July 2021 through 21 July 2021
ER -