Open AccessUnbalanced responsibility division considering renewable energy integration
Author(s) -
Wang Ying,
Yang Yixuan,
Ma Xiaoyang,
Yao Wenxuan,
Wang Hang,
Tang Zao
Publication year - 2020
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2020.0636
Subject(s) - correctness , division (mathematics) , electrical impedance , renewable energy , energy (signal processing) , component (thermodynamics) , computer science , field (mathematics) , power (physics) , output impedance , electronic engineering , control theory (sociology) , engineering , algorithm , mathematics , electrical engineering , statistics , arithmetic , physics , control (management) , quantum mechanics , artificial intelligence , pure mathematics , thermodynamics
A reasonable division of the unbalanced contribution is the premise of responsibility division and mitigation. As a large amount of renewable energy integrates into the power system, the disturbance of the system increases and the system impedance is no longer much smaller than the load impedance. The traditional unbalanced responsibility division method is difficult to calculate accurately. This study proposes a new method for calculating unbalanced contribution, which can effectively avoid the limitations of traditional methods. The robust independent component analysis is used to estimate the equivalent source signal. The sparse component analysis method is used to construct the screening criterion to screen the equivalent source signals to obtain estimated signals that are more in line with the real source signals. Then the equivalent negative sequence impedance of upstream and downstream is calculated, and the unbalanced responsibility is divided. This method is still effective when the system impedance is not much different from the load impedance. At the same time, the calculation accuracy is high and the anti‐interference ability is strong. Simulation and field test verify the correctness and effectiveness of the proposed method.