TY - GEN
T1 - Low Voltage Ride-through Strategy of Photovoltaic Power Generation Based on State-dependent Riccati Equation Technique
AU - Huo, Chao
AU - Zhang, Ruowei
AU - Ke, Xianbo
AU - Wei, Ping
AU - Ma, Zhizhen
AU - Qin, Boyu
AU - Fang, Wanliang
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/10
Y1 - 2019/10
N2 - In current photovoltaic transmission systems, low voltage ride-though is a main challenge that restricts the development of photovoltaic power generation. In this study, a power system with large photovoltaic (PV) power penetration is considered, and nonlinear control strategies for PV power stations are designed to guarantee the operation of PV power system and provide enough reactive power for the grid. First, the dynamic model of PV stations is constructed, and the control objective is to enhance the robustness of the system against grid faults. Second, the state-dependent Riccati equation (SDRE) technique is used to solve the robust control problem. The SDRE technique reconstructs a nonlinear system to a linear-like structure, and controls the system through solving an algebraic Riccati equation (ARE)-like approach with state-dependent coefficient (SDC) matrices. Comparisons with conventional PI controllers are performed, and better control performance is achieved through the proposed strategy.
AB - In current photovoltaic transmission systems, low voltage ride-though is a main challenge that restricts the development of photovoltaic power generation. In this study, a power system with large photovoltaic (PV) power penetration is considered, and nonlinear control strategies for PV power stations are designed to guarantee the operation of PV power system and provide enough reactive power for the grid. First, the dynamic model of PV stations is constructed, and the control objective is to enhance the robustness of the system against grid faults. Second, the state-dependent Riccati equation (SDRE) technique is used to solve the robust control problem. The SDRE technique reconstructs a nonlinear system to a linear-like structure, and controls the system through solving an algebraic Riccati equation (ARE)-like approach with state-dependent coefficient (SDC) matrices. Comparisons with conventional PI controllers are performed, and better control performance is achieved through the proposed strategy.
KW - Low voltage ride-though
KW - Photovoltaic power station
KW - Reactive power support
KW - State-Dependent Riccati equation
UR - https://www.scopus.com/pages/publications/85096421664
U2 - 10.1109/APAP47170.2019.9225106
DO - 10.1109/APAP47170.2019.9225106
M3 - 会议稿件
AN - SCOPUS:85096421664
T3 - APAP 2019 - 8th IEEE International Conference on Advanced Power System Automation and Protection
SP - 466
EP - 469
BT - APAP 2019 - 8th IEEE International Conference on Advanced Power System Automation and Protection
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th IEEE International Conference on Advanced Power System Automation and Protection, APAP 2019
Y2 - 21 October 2019 through 24 October 2019
ER -
