An Elliptic Model-Based Fast Estimation Method of Positive and Negative Sequence Amplitudes for Unbalanced Grid Voltages

In this paper, a novel elliptic algebraic model-based positive- and negative-sequence amplitude estimation method is proposed for unbalanced grid voltages. By exploiting the intrinsic elliptic trajectory of unbalanced voltage vectors in the αβ stationary reference frame, an explicit algebraic relationship between the sequence amplitudes and the elliptic geometric parameters is established. Consequently, the conventional sequence decomposition problem is reformulated as an elliptic parameter identification problem. Based on the proposed elliptic algebraic framework, an online parameter identification scheme is developed to estimate the elliptic parameters and reconstruct the sequence amplitudes. A Lyapunov-based global asymptotic stability analysis is also presented to verify the convergence property of the proposed identification framework. Experimental results further validate the effectiveness of the proposed method.

Authors

Institutions

Publication Details

Journal
Electronics
Published
2026-06-17
DOI
https://doi.org/10.3390/electronics15122694
Primary Topic
Power System Optimization and Stability
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An Elliptic Model-Based Fast Estimation Method of Positive and Negative Sequence Amplitudes for Unbalanced Grid Voltages

Xinxin Sun, Guangqi Li, Jiawei Yu, Zhu Y et al.
Electronics
Power System Optimization and Stability
article

An Elliptic Model-Based Fast Estimation Method of Positive and Negative Sequence Amplitudes for Unbalanced Grid Voltages

Xinxin Sun, Guangqi Li, Jiawei Yu, Zhu Y, W. Hao, Xuetong Wang, Youfeng Zhou, Zhiyong Dai, Chao Luo
article en

Abstract

In this paper, a novel elliptic algebraic model-based positive- and negative-sequence amplitude estimation method is proposed for unbalanced grid voltages. By exploiting the intrinsic elliptic trajectory of unbalanced voltage vectors in the αβ stationary reference frame, an explicit algebraic relationship between the sequence amplitudes and the elliptic geometric parameters is established. Consequently, the conventional sequence decomposition problem is reformulated as an elliptic parameter identification problem. Based on the proposed elliptic algebraic framework, an online parameter identification scheme is developed to estimate the elliptic parameters and reconstruct the sequence amplitudes. A Lyapunov-based global asymptotic stability analysis is also presented to verify the convergence property of the proposed identification framework. Experimental results further validate the effectiveness of the proposed method.

ElectronicsVol. 15(12)
Xidian University (CN), China Southern Power Grid (China) (CN)
Natural Science Foundation of Shaanxi Province, National Key Research and Development Program of China
Openalex Percentile: Top 11%
Power System Optimization and Stability
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.