基于扰动主动利用的孤岛微电网双模模型预测负荷频率控制

孙阳; 孟懿帆; 赵顺毅; 陈刚

doi:10.19805/j.cnki.jcspe.2025.250372

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基于扰动主动利用的孤岛微电网双模模型预测负荷频率控制

更新时间：2026-10-10

- 基于扰动主动利用的孤岛微电网双模模型预测负荷频率控制
- Dual-mode Model Prediction of Load Frequency Control in Islanded Microgrids Based on Active Disturbance Application
- 动力工程学报 2025年45卷第12期页码：2180-2188
- 作者机构：
  
  1. 江南大学轻工过程先进控制教育部重点实验室,江苏,无锡,214122
  2. 国能南京电力试验研究有限公司,江苏,南京,210000
- 作者简介：
  
  孙阳(1994—),男,安徽滁州人,讲师,博士,研究方向为模型预测控制及其电力工程应用,E-mail:yangsun@jiangnan.edu.cn
- 基金信息：
  
  国家自然科学基金资助项目(62503199);中央高校基本科研业务费专项资金资助项目(JUSRP202501133)
- DOI：10.19805/j.cnki.jcspe.2025.250372
  中图分类号：
- 网络首发：2025-12-16，
  
  纸质出版：2025-12-16
- 稿件说明：
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孙阳,孟懿帆,赵顺毅,陈刚. 基于扰动主动利用的孤岛微电网双模模型预测负荷频率控制动力工程学报, 2025, 45(12): 2180-2188 https://doi.

org/10.19805/j.cnki.jcspe.2025.250372
孙阳,孟懿帆,赵顺毅,陈刚. 基于扰动主动利用的孤岛微电网双模模型预测负荷频率控制动力工程学报, 2025, 45(12): 2180-2188 https://doi. DOI： 10.19805/j.cnki.jcspe.2025.250372.

org/10.19805/j.cnki.jcspe.2025.250372 DOI：

摘要

针对孤岛微电网负荷频率的多目标控制难题

提出了一种基于扰动主动利用的鲁棒双模模型预测控制策略。首先

推导了微电网的全驱模型

并将建模误差与新能源发电的不确定性相结合

视其为广义扰动

并设计了扩张状态观测器对其进行在线估计

同时将扰动估计值融入到模型的滚动优化过程中。随后

引入了一种能够确保输入-状态稳定的双模模型预测控制方法

旨在提升频率调节的品质并降低发电成本

同时实现频率调节系统的鲁棒稳定性与最优性能的解耦。最后

通过硬件在环实验对所提控制策略的性能进行了全面评估

并在多种运行场景下与现有控制方法进行了对比分析。实验结果表明:所提控制策略的频率调节时间缩短了约20%

超调量减小了10%

动态经济性能提升了30%。

Abstract

To address the challenges of multi-objective load frequency control in islanded microgrids

a robust dual-mode model predictive control strategy was proposed based on active disturbance application. Firstly

a fully actuated model of the microgrid was developed

in which modeling errors and uncertainties arising from renewable energy sources were aggregated into the generalized disturbance. An extended state observer was designed to estimate this disturbance in real time

and the estimated values were integrated into the receding horizon optimization process of the predictive model. Subsequently

a dual-mode model predictive control method was introduced to ensure input-to-state stability

improve frequency regulation performance

and reduce generation costs

while effectively decoupling robust stability from optimal performance of the frequency regulation system. Finally

the performance of the proposed control strategy was rigorously evaluated through hardware-in-the-loop experiments

comparing with those of existing methods under diverse operating conditions. Experimental results demonstrate that the proposed control strategy reduces frequency regulation time by approximately 20%

decreases overshoot by 10%

and enhances dynamic economic performance by 30%.

关键词

Keywords

references

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