自触发改进一致性算法的孤岛微电网分布式二次控制策略
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山东工商学院

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TM762

基金项目:

山东省重点研发计划资助(2024CXGC010704);山东省自然基金资助项目(ZR2024QF255);烟台市科技创新发展计划基础研究项目(2024YT06000226)


Self-triggered Improved Consensus Algorithm Distributed Secondary Control for Islanded Microgrids
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Key R&D Program of Shandong Province,China(2024CXGC010704);Shandong Natural Science Foundation of China under Grant ZR2024QF255;Yantai Science and Technology Innovation Development Plan under Grant 2024YT06000226

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    摘要:

    本文提出了一种基于动态事件触发机制的改进分布式协同控制算法,用于实现孤岛微电网频率、电压的恢复及有功功率的精确分配。首先,在采样数据框架下,通过引入内部动态变量对传统事件触发条件进行优化,构造出具有自适应调节能力的触发阈值,系统能够有效降低触发频次,同时避免了Zeno行为的发生。其次,设计了一种基于积分算子的分布式误差预估策略,构建出具有状态预测能力的自触发机制。该机制使得事件触发判据完全克服了周期性采样的缺点,实现了在非连续通信条件下的自主决策。此外,基于Lyapunov稳定性理论对该算法进行收敛性分析。最后,通过MATLAB/Simulink搭建典型孤岛微电网仿真模型验证了所提算法的有效性。同时,与传统事件触发方法进行比较,结果表明本文方法在维持同等控制性能的前提下,有效减少了系统开销。

    Abstract:

    In this paper, an improved distributed dynamic event-triggered secondary control algorithm is proposed to restore frequency and voltage, as well as to achieve accurate active power sharing in islanded AC microgrids. Based on the sampled-data mechanism, the proposed design begins with the optimization of the event-triggering conditions by introducing internal dynamic variables. This approach not only reduces the triggering number but also inherently prevents Zeno behavior. Subsequently, a self-triggered scheme is introduced using an integral operator to predict estimation errors. This allows event checking to rely only on the states at triggering instants, thereby eliminating the need for unnecessary periodic sampling. Furthermore, a rigorous stability analysis is conducted using Lyapunov stability theory. Finally, the effectiveness is demonstrated through numerical simulations in MATLAB/Simulink. Compared to the traditional methods, the proposed scheme significantly reduces system overhead without compromising control performance.

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  • 收稿日期:2025-10-15
  • 最后修改日期:2026-01-28
  • 录用日期:2026-01-29
  • 在线发布日期: 2026-03-09
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