Coordinated control strategy based on voltage balancer in the bipolar DC network with PV power generation

Ziqiang Ming; Xiang Li; Xinwei Du; Chuan Yuan; Bo Li; Weiting Xu; Ting Du; Yuhong Wang; Yangtao Liu; Jianquan Liao

doi:10.1117/12.2684716

19 October 2023 Coordinated control strategy based on voltage balancer in the bipolar DC network with PV power generation

Ziqiang Ming, Xiang Li, Xinwei Du, Chuan Yuan, Bo Li, Weiting Xu, Ting Du, Yuhong Wang, Yangtao Liu, Jianquan Liao

Author Affiliations +

Proceedings Volume 12709, Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023); 127093D (2023) https://doi.org/10.1117/12.2684716
Event: Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023), 2023, Nanjing, China

Abstract

In the bipolar DC network, the unbalanced loads and distributed power generations will result in unbalanced voltage on the DC bus and load side. The unbalanced voltage will lead to power losses and influence the regular operation of the power system. Voltage balancer (VB) can be introduced to adjust the unbalanced voltage in the bipolar DC network. This paper studies the regulation of unbalanced voltage in a bipolar DC network with voltage source converter (VSC), photovoltaic (PV) power generation and energy storage system (ESS) with the participation of VB. In this paper, it is proposed that the coordinated control based on VB can realize the voltage regulation of all parts in the bipolar DC network. It is pointed out that the proposed control strategy can realize adaptive adjustment of voltage droop coefficient. The MATLAB/Simulink platform is built to verify the effectiveness of the proposed coordinated control method for DC bus and load voltage regulation.

Citation Download Citation

Ziqiang Ming, Xiang Li, Xinwei Du, Chuan Yuan, Bo Li, Weiting Xu, Ting Du, Yuhong Wang, Yangtao Liu, and Jianquan Liao "Coordinated control strategy based on voltage balancer in the bipolar DC network with PV power generation", Proc. SPIE 12709, Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023), 127093D (19 October 2023); https://doi.org/10.1117/12.2684716

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