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SECURING POWER GRIDS OF THE FUTURE: ELECTRIC SPRING CONTROL USING ACOQPCI TECHNIQUES

Ming Hua Chen
Published 13 January 2025
Vol. 11, No. 2 (2023)
pp. 33-46
CC BY 4.0
  1. 1
    Ming Hua Chen
    School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo, China
    CN

The integration of large-scale renewable energy sources into the power grid has become increasingly important in recent years, driven by concerns over energy sustainability and environmental impact. However, the intermittent and unpredictable nature of renewable energy generation has led to power supply and demand imbalances, resulting in voltage and frequency fluctuations and harmonic pollution. To tackle these challenges, the first-generation Electric Spring (ES-1) was introduced, providing reactive power compensation to stabilize critical load voltage. Compared to traditional demand-side management and energy storage solutions, Electric Spring technology offers real-time and seamless control of load voltage during grid voltage fluctuations.

This abstract provides an overview of the advancements in Electric Spring technology, emphasizing its role in addressing power grid challenges related to renewable energy integration. It explores the evolution of ES topology structures and control strategies, focusing on ES-2. Current research efforts are directed towards enhancing the performance of Electric Springs through innovative control schemes and optimization algorithms, including phase control, Proportional Resonant controller with grid voltage feedforward, fuzzy PI algorithms, and variable universe PI control. These control strategies are continually evolving to exhibit greater robustness, adaptability to nonlinearity, and intelligence.

JournalColumbia Journal of Engineering and Technology
ISSN3065-0437
Volume / IssueVol. 11, No. 2 (2023)
Pages33-46
Published13 January 2025
Access Open Access
LicenseCC BY 4.0 — reuse with attribution
PublisherKeith Publications
Chen, M. (2025). SECURING POWER GRIDS OF THE FUTURE: ELECTRIC SPRING CONTROL USING ACOQPCI TECHNIQUES. Columbia Journal of Engineering and Technology, Vol. 11 No. 2, pp. 33-46

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