TY - JOUR
T1 - Coordinated Frequency and Voltage Optimal Control of Wind Farm With Nonlinear Power Constraints
AU - Zhang, Yuanhang
AU - Kou, Peng
AU - Zhang, Zhihao
AU - Li, Hua
AU - Li, Xudong
AU - Liang, Deliang
N1 - Publisher Copyright:
© 2007-2012 IEEE.
PY - 2023/9/1
Y1 - 2023/9/1
N2 - In the high-voltage direct current transmission system, if converter blocking occurs at the sending-end converter station, a serious power imbalance takes place in the sending-end grid, which causes severe over-frequency and over-voltage problems. To address this issue, a double-layer coordinated optimal control strategy based on model predictive control (MPC) is proposed in this article. By cooperatively regulating the active and reactive power of the wind farm at the sending end, it achieves coordinated frequency and voltage control. On the basis of MPC and moving horizon estimation, the upper-layer controller computes the optimal active and reactive power references of the wind farm. Subsequently, the optimized power references are fed into the lower-layer wind farm local controller for execution. A key feature of this strategy lies in its handling of nonlinear power constraints. Specifically, for a wind farm, coordinated frequency and voltage regulation faces a critical challenge of coupled nonlinear power constraints, which are formed by the coupled relationship between the active and reactive power outputs of the power converters. To overcome this challenge, the double description method is introduced to approximate and linearize the coupled nonlinear power constraints. Simulation results verify the effectiveness of the proposed strategy.
AB - In the high-voltage direct current transmission system, if converter blocking occurs at the sending-end converter station, a serious power imbalance takes place in the sending-end grid, which causes severe over-frequency and over-voltage problems. To address this issue, a double-layer coordinated optimal control strategy based on model predictive control (MPC) is proposed in this article. By cooperatively regulating the active and reactive power of the wind farm at the sending end, it achieves coordinated frequency and voltage control. On the basis of MPC and moving horizon estimation, the upper-layer controller computes the optimal active and reactive power references of the wind farm. Subsequently, the optimized power references are fed into the lower-layer wind farm local controller for execution. A key feature of this strategy lies in its handling of nonlinear power constraints. Specifically, for a wind farm, coordinated frequency and voltage regulation faces a critical challenge of coupled nonlinear power constraints, which are formed by the coupled relationship between the active and reactive power outputs of the power converters. To overcome this challenge, the double description method is introduced to approximate and linearize the coupled nonlinear power constraints. Simulation results verify the effectiveness of the proposed strategy.
KW - Double description
KW - frequency control
KW - model predictive control (MPC)
KW - voltage control
KW - wind farm
UR - https://www.scopus.com/pages/publications/85161064152
U2 - 10.1109/JSYST.2023.3273569
DO - 10.1109/JSYST.2023.3273569
M3 - 文章
AN - SCOPUS:85161064152
SN - 1932-8184
VL - 17
SP - 4934
EP - 4945
JO - IEEE Systems Journal
JF - IEEE Systems Journal
IS - 3
ER -