TY - GEN
T1 - Improved Passivity-Based Control Method of Grid-Connected PV Inverter in Weak Grids
AU - Guihua, Liu
AU - Wenxiu, Wang
AU - Xiaohui, Zhu
AU - Wei, Wang
N1 - Publisher Copyright:
© 2018 KIEE EMECS (KIEE Electrical Machinery and Energy Conversion Systems).
PY - 2018/11/27
Y1 - 2018/11/27
N2 - With the continuous increase in the penetration rate of photovoltaics (PV), the operating environment of the power grid becomes more and more complex. Weak grids usually present electrical characteristics like high harmonic content, high grid impedance and fluctuating voltage. When a grid-connected PV inverter is connected to weak grids, the traditional control method shows its limitation. In view of the nonlinearity of the mathematical model of the PV inverters, the algorithm derived from passive-based control (PBC) theory can be used to control the PV inverter, enabling the inverter to have better performance in weak grids. Firstly, this paper establishes the Euler-Lagrange (EL) mathematical model of the inverter based on energy method, and proves the passivity of the inverter system. Secondly, passivity-based control is applied to design the traditional passivity-based controller of the inverter system by injecting damping; then an improved passivity control method based on quasi-PR control method is proposed, namely, the error energy is first sent to the quasi- PR controller to change the damping coefficient of the system, then the coefficient is send to a conventional passivity-based controller to achieve the improved passivity-based control method. Finally, experimental comparison of the two methods show that the improved passivity-based control method is more suitable for weak grids with voltage instability and large impedance. The experimental results verify that the improved passivity-based control has strong robustness when the voltage fluctuates.
AB - With the continuous increase in the penetration rate of photovoltaics (PV), the operating environment of the power grid becomes more and more complex. Weak grids usually present electrical characteristics like high harmonic content, high grid impedance and fluctuating voltage. When a grid-connected PV inverter is connected to weak grids, the traditional control method shows its limitation. In view of the nonlinearity of the mathematical model of the PV inverters, the algorithm derived from passive-based control (PBC) theory can be used to control the PV inverter, enabling the inverter to have better performance in weak grids. Firstly, this paper establishes the Euler-Lagrange (EL) mathematical model of the inverter based on energy method, and proves the passivity of the inverter system. Secondly, passivity-based control is applied to design the traditional passivity-based controller of the inverter system by injecting damping; then an improved passivity control method based on quasi-PR control method is proposed, namely, the error energy is first sent to the quasi- PR controller to change the damping coefficient of the system, then the coefficient is send to a conventional passivity-based controller to achieve the improved passivity-based control method. Finally, experimental comparison of the two methods show that the improved passivity-based control method is more suitable for weak grids with voltage instability and large impedance. The experimental results verify that the improved passivity-based control has strong robustness when the voltage fluctuates.
KW - improved passivity-based control method
KW - robustness
KW - weak grids
UR - https://www.scopus.com/pages/publications/85060024263
U2 - 10.23919/ICEMS.2018.8549169
DO - 10.23919/ICEMS.2018.8549169
M3 - 会议稿件
AN - SCOPUS:85060024263
T3 - ICEMS 2018 - 2018 21st International Conference on Electrical Machines and Systems
SP - 1151
EP - 1156
BT - ICEMS 2018 - 2018 21st International Conference on Electrical Machines and Systems
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 21st International Conference on Electrical Machines and Systems, ICEMS 2018
Y2 - 7 October 2018 through 10 October 2018
ER -