Yang Mi, Jiahang Guo, Wei Wei, 等. Adaptive Allocation Strategy for Power Storage in Isolated DC Microgrid with Unmatched Line Impedance and Abnormal Communication[J]. 中国电机工程学会电力与能源系统学报(英文), 2025,11(5):2241-2250.
Yang Mi, Jiahang Guo, Wei Wei, et al. Adaptive Allocation Strategy for Power Storage in Isolated DC Microgrid with Unmatched Line Impedance and Abnormal Communication[J]. CSEE Journal of Power and Energy Systems, 2025, 11(5): 2241-2250.
Yang Mi, Jiahang Guo, Wei Wei, 等. Adaptive Allocation Strategy for Power Storage in Isolated DC Microgrid with Unmatched Line Impedance and Abnormal Communication[J]. 中国电机工程学会电力与能源系统学报(英文), 2025,11(5):2241-2250.DOI: 10.17775/CSEEJPES.2021.07510.
Yang Mi, Jiahang Guo, Wei Wei, et al. Adaptive Allocation Strategy for Power Storage in Isolated DC Microgrid with Unmatched Line Impedance and Abnormal Communication[J]. CSEE Journal of Power and Energy Systems, 2025, 11(5): 2241-2250.DOI: 10.17775/CSEEJPES.2021.07510.
Adaptive Allocation Strategy for Power Storage in Isolated DC Microgrid with Unmatched Line Impedance and Abnormal Communication
An adaptive droop control strategy is proposed for a parallel distributed multi-energy storage system of an isolated DC microgrid with unmatched line impedance and abnormal communication. System line impedance mismatch can cause unbalanced load power distribution and reduce service life of distributed energy storage unit (DESU). Therefore
an improved droop control based on mixed coefficient compensation of state of charge (SOC) and voltage is designed
which can adaptively adjust a power characteristic curve according to the sampling period
so as to ensure precise distribution of load power while minimizing voltage deviation. Considering the stability of the system under communication anomaly
a non-communication backup control based on Metropolis acceptance criterion is proposed
which only uses internal data to adaptively adjust the droop coefficient. In addition
a gradual smooth handover strategy is designed through gradient coefficient to optimize control stability under communication anomaly. Finally
effectiveness and correctness of the proposed control strategy are verified by mathematical analysis and RTDS/DSP hardware-in-the-loop experiments.