TY - GEN
T1 - Distributed Event-Triggering-Based Convex Optimization Control for Power Loss Mitigation in DC Microgrids
AU - Jiang, Yajie
AU - Yang, Yun
AU - Tan, Siew-Chong
AU - Hui, Shu-Yuen Ron
PY - 2022/9
Y1 - 2022/9
N2 - In most research literatures, only wire loss is considered in the traditional optimization method for DC microgrid efficient operation. In this work, a distributed three-layer control scheme, which comprises a top-layer distributed gradient descent method (DGDM), a middle-layer distributed event-triggering control, and a bottom-layer local control, is designed to minimize the distribution loss for DC electric network. The proposed control is inherited from traditional distributed control by using node-to-node communication among the neighboring DERs, which gains the merits of higher robustness and scalability than the conventional centralized control. The loss in DC microgrids includes both loss by wire lines and loss by converters, as proposed in this work. By comparing with the traditional line loss optimization strategy, more loss in DC electric network can be reduced by the proposed strategy. Besides, the communication burden is significantly reduced by using event-triggering-based distributed secondary control. Various cases' results are provided to verify the effectiveness of the event-triggering-based DGDM. © 2022 IEEE.
AB - In most research literatures, only wire loss is considered in the traditional optimization method for DC microgrid efficient operation. In this work, a distributed three-layer control scheme, which comprises a top-layer distributed gradient descent method (DGDM), a middle-layer distributed event-triggering control, and a bottom-layer local control, is designed to minimize the distribution loss for DC electric network. The proposed control is inherited from traditional distributed control by using node-to-node communication among the neighboring DERs, which gains the merits of higher robustness and scalability than the conventional centralized control. The loss in DC microgrids includes both loss by wire lines and loss by converters, as proposed in this work. By comparing with the traditional line loss optimization strategy, more loss in DC electric network can be reduced by the proposed strategy. Besides, the communication burden is significantly reduced by using event-triggering-based distributed secondary control. Various cases' results are provided to verify the effectiveness of the event-triggering-based DGDM. © 2022 IEEE.
KW - Distributed energy resource (DER)
KW - distributed gradient ascent method (DGDM)
KW - distribution loss
KW - event-triggering control
UR - https://www.scopus.com/pages/publications/85149138301
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85149138301&origin=recordpage
U2 - 10.1109/PESA55501.2022.10038427
DO - 10.1109/PESA55501.2022.10038427
M3 - RGC 32 - Refereed conference paper (with host publication)
T3 - Proceedings of the 9th International Conference on Power Electronics Systems and Applications, PESA
BT - 2022 IEEE 9th International Conference on Power Electronics Systems and Applications (PESA)
PB - IEEE
T2 - 9th International Conference on Power Electronics Systems and Applications, PESA 2022
Y2 - 20 September 2022 through 22 September 2022
ER -