Research on Resilience Control Technology for Nonferrous Metal Microgrids with Direct Green Electricity Connection

Jingya Yang; Xiongbing Yuan; Yan Chen

doi:10.47297/taposatWSP2633-456909.20260708

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Research on Resilience Control Technology for Nonferrous Metal Microgrids with Direct Green Electricity Connection

7卷第8期

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Research on Resilience Control Technology for Nonferrous Metal Microgrids with Direct Green Electricity Connection
Research on Resilience Control Technology for Nonferrous Metal Microgrids with Direct Green Electricity Connection
CINF Engineering Co.,Ltd , Changsha, Hunan, 410019, China
2026年7卷第8期页码：46-50
纸质出版：2026-08-30
DOI：10.47297/taposatWSP2633-456909.20260708
Accepted：

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Jingya Yang, Xiongbing Yuan & Yan Chen. (2026). Research on Resilience Control Technology for Nonferrous Metal Microgrids with Direct Green Electricity Connection. 科技理论与实践（英文版）, 7(8), 46-50.

Yang Jingya,Yuan Xiongbing,Chen Yan.Research on Resilience Control Technology for Nonferrous Metal Microgrids with Direct Green Electricity Connection[J].Theory and Practice of Science and Technology,2026,07(08):46-50.
Jingya Yang, Xiongbing Yuan & Yan Chen. (2026). Research on Resilience Control Technology for Nonferrous Metal Microgrids with Direct Green Electricity Connection. 科技理论与实践（英文版）, 7(8), 46-50. DOI： 10.47297/taposatWSP2633-456909.20260708.

Yang Jingya,Yuan Xiongbing,Chen Yan.Research on Resilience Control Technology for Nonferrous Metal Microgrids with Direct Green Electricity Connection[J].Theory and Practice of Science and Technology,2026,07(08):46-50. DOI： 10.47297/taposatWSP2633-456909.20260708.

摘要

Abstract

In response to the risk of bus instability and energy interruption caused by the coupling of wind and solar power fluctuations with continuous loads in non-ferrous metal production under green power direct connection conditions

a resilience control system including source-load coordination

long short-term memory network anomaly detection

distributed self-healing

and multi energy complementarity is constructed and simulated in MATLAB/Simulink. The results showed that compared to conventional control

the green power consumption rate increased from 82% to 95%

the fault recovery time decreased from 12 seconds to 3 seconds

the maximum voltage deviation of the DC bus decreased from 6.8% to 2.4%

and the maximum frequency deviation of the AC bus decreased from 0.42 Hz to 0.16 Hz. No unplanned interruptions occurred in critical loads. The proposed strategy integrates renewable energy prediction

energy storage regulation

and flexible load adjustment to improve the microgrid's adaptability under uncertain renewable power conditions. By coordinating multiple control links

the system enhances disturbance response capability while maintaining the continuity of electrolytic aluminum production. This research provides a technical reference for improving the resilience and stable operation of non-ferrous metal microgrids with direct green power connection.

关键词

Keywords

references

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