A Voltage Parameter Adaptive Detection Method for Power Systems Under Grid Voltage Distortion Conditions
Year: 2025
Type: article
Abstract: Accurate voltage information is important for ensuring the safe operation of power systems and their performance evaluation. However, as distributed energy sources become more prevalent, the levels of harmonics and DC components in the power grid are increasing notably, resulting in voltage waveform distortion and a breakdown of waveform symmetry. As a result, traditional voltage parameter detection methods are unable to obtain the voltage information accurately. To address this issue, this paper proposed a novel approach that leverages adaptive estimation to accurately detect voltage parameters under grid voltage distortion conditions. More importantly, the proposed method has the ability to extract the harmonics and the DC component without steady-state error and exhibits a fast dynamic response. With this approach, the amplitude of the grid voltage can be derived in 4.2 ms when the grid voltage is undistorted. In the presence of low-order harmonics, the amplitude of the grid voltage can be accurately derived in 10.7 ms. Finally, simulation results and experimental results are respectively used for model validation and functionality validation.
Source: Symmetry
DOI: 10.3390/sym17060975
Authors: Wenzhe Hao, Zhiyong Dai, Guangqi Li, Shuaishuai Lv, Qitao Sun, Nana Lu, Jinke Ma
Institutions: Xidian University, Hangzhou Dianzi University
Language: English
Topic: Power Quality and Harmonics
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,896
Award: G8600919228
OpenAlex ID: W4411451797
