Multi-electric springs coordinated control method for grid voltage optimization

Xuejian Li; Xiangyu Xue; Ran Liu; Qingxin Liu; Chang Yuan

doi:10.1117/12.2689813

10 August 2023 Multi-electric springs coordinated control method for grid voltage optimization

Xuejian Li, Xiangyu Xue, Ran Liu, Qingxin Liu, Chang Yuan

Proceedings Volume 12748, 5th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2023); 127484G (2023) https://doi.org/10.1117/12.2689813
Event: 5th International Conference on Information Science, Electrical and Automation Engineering (ISEAE 2023), 2023, Wuhan, China

Abstract

The power imbalance between the source and the load is aggravated by the large number of new energy connections. Electric Spring (ES) can adjust the load side. Due to the limited capacity of a single power spring, it is necessary to install multiple power spring support system voltages in the power grid. However, multiple power springs need coordinated control methods to ensure their stable operation. In this paper, a coordinated control method for multiple power springs is proposed to optimize the voltage of the grid-connected points. First, the phenomenon of voltage deviation at each gridconnected point is analyzed. Then, according to the two-port impedance model of the power spring, an optimization model for the voltage deviation at the grid-connected point of the power spring is proposed, and solved by the particle swarm optimization algorithm. Finally, the coordinated control method for multiple power springs is given. The proposed method effectively reduces the voltage deviation of the grid connection point and enables the power spring to remain stable when the system voltage fluctuation is large. Finally, the validity of the proposed method is verified by PSACD simulation.

Citation Download Citation

Xuejian Li, Xiangyu Xue, Ran Liu, Qingxin Liu, and Chang Yuan "Multi-electric springs coordinated control method for grid voltage optimization", Proc. SPIE 12748, 5th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2023), 127484G (10 August 2023); https://doi.org/10.1117/12.2689813

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