摘要
高压直流输电系统双极闭锁后,整流站滤波和补偿装置的滞后退出使得大量无功功率流向送端交流母线,进而导致送端出现过电压现象。为确保直流近区大规模光伏发电系统的安全运行,提出了一种基于状态相关Riccati方程技术的非线性鲁棒控制策略。首先,暂态控制目标设定为令光伏发电系统在暂态期间最大化吸收无功功率,基于控制目标选择合适的调节输出并构建相应的非线性鲁棒控制问题。其次,采用状态相关Riccati方程技术将非线性鲁棒控制问题转化为状态相关的类线性系统鲁棒控制问题,通过在线求解代数Riccati不等式近似获得状态反馈控制律。最后,在MATLAB/Simulink仿真平台进行验证,结果表明所提控制策略具有良好的暂态控制效果,能够有效抑制送端过电压。
After bipolar block in high voltage direct circuit(HVDC) transmission system, a large amount of reactive power flows to the AC bus at the sending end due to the lag exit of the rectifier station filter and compensation devices, which leads to the phenomenon of overvoltage at the sending end. A nonlinear robust control strategy based on state-dependent Riccati equation technique is proposed to ensure safe operation of large-scale DC near-field photovoltaic generation system. Firstly, the transient control goal is set to maximize the absorbed reactive power of the photovoltaic generation system during the transient period, and the appropriate adjustment output is selected based on the control goal and the corresponding nonlinear robust control problem is constructed. Secondly, the state-dependent Riccati equation technique is used to transform the nonlinear robust control problem into the state-dependent linear-like system robust control problem, and the state feedback control law is approximately obtained by the online solution of the algebraic Riccati inequality. Finally, the simulation results of MATLAB/Simulink show that the proposed control strategy has good transient control effect and can effectively suppress the overvoltage at the sending end.
作者
王若谷
张若微
高鑫
秦博宇
WANG Ruogu;ZHANG Ruowei;GAO Xin;QIN Boyu(State Grid Shaanxi Electric Power Company Research Institute,Xi'an 710100,China;School of Electrical Engineering,Xi'an Jiaotong University,Xi'an 710049,China)
出处
《南方电网技术》
CSCD
北大核心
2022年第10期87-94,共8页
Southern Power System Technology
基金
国网陕西省电力公司新能源消纳及配网专项整治科技资助项目(000008306091)
国家自然科学基金项目(52177112)。
关键词
高压直流输电
送端过电压
光伏换流器
非线性鲁棒控制
HVDC transmission
sending-end overvoltage
photovoltaic converter
nonlinear robust control