Open AccessAdaptive control scheme based on transient stability mechanism for photovoltaic plants
Author(s) -
Yu Moduo,
Huang Wentao,
Tai Nengling,
Xi Xinze,
Nadeem Muhammad Haroon
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.2019.1686
Subject(s) - voltage droop , transient (computer programming) , control theory (sociology) , stability (learning theory) , photovoltaic system , ac power , transient response , computer science , engineering , control (management) , voltage , voltage regulator , electrical engineering , artificial intelligence , machine learning , operating system
The world‐wide application of photovoltaic (PV) plants is a promising solution to the energy crisis. However, PV plants usually suffer from transient instability due to weakness in dynamical adaptability. This study, based on the transient stability mechanism, devises an adaptive control scheme to achieve transient stability enhancement for PV plants. The transient stability mechanism shows that the active droop factor is negatively associated with the transient stability whereas the reactive droop factor is positively associated. The transient stability enhancement is implemented by increasing the reactive droop factor and reducing the active droop factor to raise the power angle curve. The proposed control scheme adjusts the droop factors dynamically during the transient events by detecting the real‐time electrical quantities. The control scheme advances in a designed activation module which is able to judge if there exist transient events. A series of simulation cases demonstrate the effectiveness of the control scheme in different transient events. Simulation results show that the control scheme adjusts droop factors adaptively and possesses better transient stability than the normal droop control.