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1 August 2022 Stability analysis and suppression of energy storage inverter grid-connected system based on impedance analysis
Jinbao Huang, Lili Hao, Xiangfeng Liu
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Proceedings Volume 12257, 4th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2022); 122572T (2022) https://doi.org/10.1117/12.2640213
Event: 4th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2022), 2022, Guangzhou, China
Abstract
With the increasing proportion of distributed new energy in the grid, more and more battery storage systems are also connected to the grid to improve the negative impact of new energy generation on the grid. Energy storage systems are mostly connected to the power grid through grid-connected inverters, and a large number of grid-connected inverters will have a great impact on the stability of the network. Therefore, this paper adopts impedance analysis method and stability analysis based on Nyquist criterion to study the interaction between grid-connected inverter and power grid of energy storage system. Based on the current mode control algorithm of energy storage system, the impedance model of energy storage inverter is established, and its operation stability under different conditions is analyzed. In order to improve the grid-connected stability of the energy storage inverter under the condition of weak power grid, an active damping suppression strategy based on input current feedback was adopted to improve the harmonic stability of the gridconnected energy storage inverter under the condition of weak power grid. Finally, the accuracy of the analytical conclusions and the effectiveness of the proposed method are verified by simulation results.
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Jinbao Huang, Lili Hao, and Xiangfeng Liu "Stability analysis and suppression of energy storage inverter grid-connected system based on impedance analysis", Proc. SPIE 12257, 4th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2022), 122572T (1 August 2022); https://doi.org/10.1117/12.2640213
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KEYWORDS
Control systems
Wind energy
Supercontinuum generation
Renewable energy
Analytical research
Electronic components
Systems modeling
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