抑制HVDC换相失败送端过电压的参数优化

Paremeters optimization of send-side overvoltage cased by HVDC commutation failure

为抑制高压直流输电系统换相失败引起的送端暂态过电压,提出一种基于蜻蜓算法的直流控制环节参数优化。首先分析换相失败后系统主要参数变化,整流站与系统交换无功和送端母线电压密切相关;其次结合时域仿真模型,以整流站与系统交换无功功率最小为目标,基于加入飞行表达式的蜻蜓算法对整流侧电流控制(CCA)和低压限流控制(VDCOL)环节的控制参数进行智能优化;然后将蜻蜓算法与灰狼算法、多元宇宙优化算法对比;最后在MATLAB/Simulink仿真环境中进行验证,仿真结果表明,蜻蜓算法优化后的控制参数能更好地抑制暂态压升,且降低幅值优于灰狼算法和多元宇宙优化算法。

In order to suppress transient overvoltage caused by commutation failure in HVDC transmission system,a DC control parameter optimization method based on dragonfly algorithm is proposed.The main parameters of the system are analyzed after commutation failure.There is a close correlation between the rectifier station and the reactive power, the bus voltage at the send-side system. Then, combining with the time-domain simulation model,the control of the parameters of CCA and VDCOL are optimized based on dragonfly algorithm with Lévy expression,aiming to minimize the reactive power exchanged between the rectifier station and the system.The Dragonfly algorithm is compared with gray wolf algorithm and multiverse optimization algorithm.Finally,it is verified in the MATLAB/simulink simulation environment,and the simulation results show that the control parameters optimized by dragonfly algorithm can better suppress transient pressure rise,and the amplitude reduction is better than tha of gray wolf algorithm and multiverse optimization Algorithm.