Frequency stability enhancement of a two-area interconnected power system under error-based active disturbance rejection control

IF 5.2 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Measurement Pub Date : 2025-05-14 DOI:10.1016/j.measurement.2025.117732

Dawei Pang , Tianmu Qin , Ming Du , Yuguang Niu

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引用次数: 0

Abstract

In the context of grid-connected renewable energy sources and deep peak shaving of thermal power units, the grid structure and characteristics are variable. In this regard, the application of error-based active disturbance rejection control (EADRC) in a two-area interconnected power system is considered with the aim of enhancing the frequency stability of the system. The stability of the proposed strategy is demonstrated and the effects of load variations and renewable energy output fluctuations on frequency are analyzed by modeling the two-area power system. Meanwhile, a comparison of control strategies of different orders is carried out. Simulation results show that the use of EADRC technique under NSGA-II rectification significantly improves the frequency response, both in terms of error and output smoothness. The effectiveness of the proposed strategy is verified in the IEEE 39-Bus system. The proper controller order selection and disturbance rejection core idea are beneficial to enhance the overall frequency stability of the power system.

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基于误差的自抗扰控制对两区互联电力系统频率稳定性的增强

在可再生能源并网和火电机组深度调峰的背景下，电网的结构和特性是可变的。在此基础上，研究了基于误差的自抗扰控制（EADRC）在两区互联电力系统中的应用，以提高系统的频率稳定性。通过对两区电力系统的建模，验证了该策略的稳定性，并分析了负荷变化和可再生能源输出波动对频率的影响。同时，对不同阶次的控制策略进行了比较。仿真结果表明，在NSGA-II整流条件下，采用EADRC技术可以显著改善频率响应，无论是误差还是输出平滑度。在IEEE 39总线系统中验证了该策略的有效性。适当的控制器阶数选择和抗扰核心思想有利于提高电力系统的整体频率稳定性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Measurement 工程技术-工程：综合

CiteScore

10.20

自引率

12.50%

发文量

1589

审稿时长

12.1 months

期刊介绍： Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.