Distributed Secondary Control for Economic Dispatch and Voltage Restoration of DC Microgrid

被引：0
|
作者：
Li Z. [1 ]
Cheng Z. [1 ]
Zhang S. [1 ]
Wang Y. [1 ]
Si J. [1 ]
机构：
[1] School of Electrical Engineering, Zhengzhou University, Zhengzhou
来源：
Diangong Jishu Xuebao/Transactions of China Electrotechnical Society | 2021年 / 36卷 / 21期
关键词：
DC microgrid; Distributed consensus; Economic dispatch; Multi-agent system; Secondary control; Voltage restoration control;
D O I：
10.19595/j.cnki.1000-6753.tces.201149
中图分类号：
学科分类号：
摘要：
The droop-based primary control of DC microgrid shows the drawbacks of steady-state bus voltage deviation and inaccurate current sharing. Although, the traditional centralized or distributed secondary control strategy can achieve bus voltage restoration and accurate current sharing. However, the generation cost of each DG unit is not considered in the traditional control strategy. In order to improve the stability and operation efficiency of DC microgrid, distributed average bus voltage recovery control algorithm and distributed optimal load distribution algorithm were designed based on distributed consensus theory. Based on the proposed distributed secondary control, bus voltage restoration and economic dispatch can be achieved simultaneously in the secondary control layer, thus the operational efficiency of microgrid can be improved. In addition, the proposed control strategy can be achieved in a fully distributed way, which shows the advantages of flexibility, robustness and scalability. © 2021, Electrical Technology Press Co. Ltd. All right reserved.
引用
收藏
页码：4482 / 4492
页数：10
相关论文
共 37 条
  • [1] Tu Chunming, Huang Hong, Lan Zheng, Et al., Coordinated control strategy of power electronic transformer and energy storage in microgrid, Transactions of China Electrotechnical Society, 34, 12, pp. 2627-2636, (2019)
  • [2] Chen Shuquan, Zhang Zhaoyun, Li Tianli, Research on voltage control of DC microgrid based on fuzzy droop control, Electrical Engineering, 21, 8, pp. 40-45, (2020)
  • [3] Meng Jianhui, Zou Peigen, Wang Yi, Et al., Small-signal modeling and parameter analysis of the DC microgridbased on flexible virtual inertia control, Transactions of China Electrotechnical Society, 34, 12, pp. 2615-2626, (2019)
  • [4] Li Jianlin, Niu Meng, Zhou Xichao, Et al., Energy storage capacity planning and investment benefit analysis of micro-energy system in energy interconnection, Transactions of China Electrotechnical Society, 35, 4, pp. 874-884, (2020)
  • [5] Zhang Xing, Wang Mingda, Zhao Tao, Et al., Topological comparison and analysis of medium-voltage and high-power direct-linked PV inverter, CES Transactions on Electrical Machines and Systems, 3, 4, pp. 327-334, (2019)
  • [6] Cook M, Parker G, Robinett R, Et al., Decentralized mode-adaptive guidance and control for DC microgrid, IEEE Transactions on Power Delivery, 32, 1, pp. 263-271, (2017)
  • [7] Zhu Shanshan, Wang Fei, Guo Hui, Et al., Overview of droop control in DC microgrid, Proceedings of the CSEE, 38, 1, pp. 72-84, (2018)
  • [8] Zhu Xiaorong, HouShunda, Li Zheng, Voltage dynamic response optimization of DC microgridbased on model predictive control, Power System Technology, 44, 6, pp. 2187-21959, (2020)
  • [9] Li Zhongwen, Cheng Zhiping, Liang Jing, Et al., Distributed event-triggered secondary control for economic dispatch and frequency restoration control of droop-controlled AC microgrids, IEEE Transactions on Sustainable Energy, 11, 3, pp. 1938-1950, (2020)
  • [10] Messinis G, Gonzalez-Espin F, Valdivia V, Et al., Application of rapid prototyping tools for a hierarchical microgrid control implementation, 2014 IEEE 5th International Symposium on Power Electronics for Distributed Generation Systems, (2014)
1234