Affiliation:
1. School of Electrical and Information Engineering, Yunnan Minzu University, Kunming 650504, China
2. Yunnan Key Laboratory of Unmanned Autonomous System, Kunming 650504, China
Abstract
In isolated operation, DC microgrids require multiple distributed energy storage units (DESUs) to accommodate the variability of distributed generation (DG). The traditional control strategy has the problem of uneven allocation of load current when the line impedance is not matched. As the state-of-charge (SOC) balancing proceeds, the SOC difference gradually decreases, leading to a gradual decrease in the balancing rate. Thus, an improved SOC droop control strategy is introduced in this paper, which uses a combination of power and exponential functions to improve the virtual impedance responsiveness to SOC changes and introduces an adaptive acceleration factor to improve the slow SOC balancing problem. We construct a sparse communication network to achieve information exchange between DESU neighboring units. A global optimization controller employing the consistency algorithm is designed to mitigate the impact of line impedance mismatch on SOC balancing and current allocation. This approach uses a single controller to restore DC bus voltage, effectively reducing control connections and alleviating the communication burden on the system. Lastly, a simulation model of the DC microgrid is developed using MATLAB/Simulink R2021b. The results confirm that the proposed control strategy achieves rapid SOC balancing and the precise allocation of load currents in various complex operational scenarios.
Funder
National Natural Science Foundation of China
Scientific Research Fund Project of the Yunnan Provincial Department of Education
Major Special Project of the Yunnan Provincial Department of Education Research Fund
Reference28 articles.
1. Distributed optimal control of DC microgrid considering balancing of charge state;Huang;IEEE Trans. Energy Convers.,2022
2. Peng, L., Luo, L., Yang, J., and Li, W. (2024). A Wind Power Fluctuation Smoothing Control Strategy for Energy Storage Systems Considering the State of Charge. Energies, 17.
3. Xu, Z., Chen, F., Chen, K., and Lu, Q. (2024). Research on Adaptive Droop Control Strategy for a Solar-Storage DC Microgrid. Energies, 17.
4. A novel adaptive droop control strategy for SoC balancing in PV-based DC microgrids;Li;ISA Trans.,2023
5. Power flow control-based regenerative braking energy utilization in AC electrified railways: Review and future trends;Chen;IEEE Trans. Intell. Transp. Syst.,2024