极高比例分布式光伏配电网频率及惯性主动支撑变论域模糊自适应控制

文贤馗, 何明君, 周科, 李晓江, 唐乾

太阳能学报 ›› 2026, Vol. 47 ›› Issue (6) : 740-749.

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太阳能学报 ›› 2026, Vol. 47 ›› Issue (6) : 740-749. DOI: 10.19912/j.0254-0096.tynxb.2025-0188

极高比例分布式光伏配电网频率及惯性主动支撑变论域模糊自适应控制

  • 文贤馗1, 何明君1, 周科1, 李晓江2, 唐乾2
作者信息 +

VARIABLE UNIVERSE FUZZY ADAPTIVE CONTROL FOR ACTIVE FREQUENCY-INERTIA SUPPORT IN DISTRIBUTION NETWORKS WITH ULTRA-HIGH PENETRATION OF DISTRIBUTED PVs

  • Wen Xiankui1, He Mingjun1, Zhou Ke1, Li Xiaojiang2, Tang Qian2
Author information +
文章历史 +

摘要

提出一种变论域模糊自适应控制方法,考虑分布式光伏出力特性及频率时域特征,实现其主动提供系统频率偏差抑制和惯性支撑。该方法包含多维模糊规则,涵盖太阳辐照度、系统频率偏差及其变化率,通过自适应调整功率输出提升系统频率响应特性。仿真结果表明,该方法能有效提高极高比例光伏接入的电力系统的暂态和稳态频率特性,增强系统安全稳定性。

Abstract

This paper proposes a variable universe fuzzy adaptive control method that considers both the output characteristics of distributed PV and time-domain frequency features, enabling active provision of system frequency deviation suppression and inertial support. The proposed method incorporates multidimensional fuzzy rules encompassing illumination variation, system frequency deviation, and its rate of change. By adaptively adjusting power output, it enhances system frequency response characteristics. Simulation results demonstrate that this approach effectively improves both transient and steady-state frequency performance in power systems with ultra-high PV penetration, thereby strengthening grid security and stability.

关键词

光伏发电 / 配电网 / 自适应控制 / 模糊控制 / 模糊逻辑 / 频率响应 / 分布式发电 / 包括应控制

Key words

PV power generation / distribution network / adaptive control / fuzzy control / fuzzy logic / frequency response / distributed power generation / adaptive control

引用本文

导出引用
文贤馗, 何明君, 周科, 李晓江, 唐乾. 极高比例分布式光伏配电网频率及惯性主动支撑变论域模糊自适应控制[J]. 太阳能学报. 2026, 47(6): 740-749 https://doi.org/10.19912/j.0254-0096.tynxb.2025-0188
Wen Xiankui, He Mingjun, Zhou Ke, Li Xiaojiang, Tang Qian. VARIABLE UNIVERSE FUZZY ADAPTIVE CONTROL FOR ACTIVE FREQUENCY-INERTIA SUPPORT IN DISTRIBUTION NETWORKS WITH ULTRA-HIGH PENETRATION OF DISTRIBUTED PVs[J]. Acta Energiae Solaris Sinica. 2026, 47(6): 740-749 https://doi.org/10.19912/j.0254-0096.tynxb.2025-0188
中图分类号: TM732   

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基金

贵州省科技创新人才团队(黔科合平台人才-CXTD[2022]008); 南方电网科技项目(GZKJXM20222258)

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