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<p>This paper presents a novel load frequency control (LFC) strategy for energy storage system (ESS)-integrated power systems, leveraging interval type-2 (IT-2) fuzzy logic and an adaptive integrated event-triggered scheme (AIETS). The proposed IT-2 fuzzy LFC addresses the nonlinearities in governor and turbine dynamics, ensuring robust system performance. To enhance bandwidth efficiency, AIETS introduces a time-varying threshold and historical state feedback. Additionally, a fuzzy proportional-integral (PI) control are designed to stabilize the system. Moreover, a machine learning-driven optimization algorithm is designed, further improving the system’s dynamic response. Lyapunov-Krasovskii functionals (LKFs) with less restrictive conditions are constructed to derive relaxed stability criteria. Simulations validate the proposed method’s superior performance and demonstrate its practical advantages.</p>

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Interval Type-2 Fuzzy LFC for Power Systems With Energy Storage System via Machine Learning Optimized Event-triggered Control

  • 期刊论文

  • 发表日期：

    2025年11月4日

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  • Wenhao Wang,
  • Yiming Lu,
  • Jun Wang,
  • Kaibo Shi,
  • Jia Ding,
  • Xiao Cai

摘要

This paper presents a novel load frequency control (LFC) strategy for energy storage system (ESS)-integrated power systems, leveraging interval type-2 (IT-2) fuzzy logic and an adaptive integrated event-triggered scheme (AIETS). The proposed IT-2 fuzzy LFC addresses the nonlinearities in governor and turbine dynamics, ensuring robust system performance. To enhance bandwidth efficiency, AIETS introduces a time-varying threshold and historical state feedback. Additionally, a fuzzy proportional-integral (PI) control are designed to stabilize the system. Moreover, a machine learning-driven optimization algorithm is designed, further improving the system’s dynamic response. Lyapunov-Krasovskii functionals (LKFs) with less restrictive conditions are constructed to derive relaxed stability criteria. Simulations validate the proposed method’s superior performance and demonstrate its practical advantages.