基于粒子群优化算法的VSC-HVDC系统的控制参数优化策略  

Parameter optimization of VSC-HVDC control system based on particle swarm optimization algorithm

作　　者：杨佳艺[1] 赵成勇[1] 苑宾[1] 李探[2] 

机构地区：[1]华北电力大学新能源电力系统国家重点实验室,北京102206 [2]国网北京经济技术研究院,北京102209

出　　处：《电力自动化设备》2017年第12期178-183,共6页Electric Power Automation Equipment

摘　　要：建立了双端基于电压源型换流器的高压直流输电(VSC-HVDC)系统的小信号模型;利用特征根分析法,基于线性化状态空间模型,将与系统特征根直接相关的振荡模式和衰减模式的罚函数作为目标函数;提出了基于粒子群优化算法的VSC-HVDC系统的控制参数优化策略,对整个系统的控制参数同时进行整体优化。仿真结果验证了小信号模型的正确性;优化后的系统在小扰动、大扰动、潮流反转及故障情况下均具有较高的控制精度,整个系统的稳态与暂态特性均得到较大改善。The small signal model of VSC-HVDC（Voltage Source Converter based High Voltage Direct Current）is formulated. Based on the linear state space model,eigenvalue analysis method is employed to model the penalty function of oscillation modes and decaying modes directly related to the eigenvalues of the system as the objective function. Furthermore,PSO（Particle Swarm Optimization） algorithm based parameter optimization of VSC-HVDC control system is proposed,which can simultaneously optimize the entire controller parameters. Simulative results verify the correctness of the proposed small signal model and the higher control precision of the optimized system under the circumstances of small disturbances,large disturbances,power flow reversal,or contingencies. Consequently,both steady-state and transient characteristics of the entire system are greatly improved.

关 键 词：VSC-HVDC 小信号模型 参数优化 粒子群优化算法 罚函数 

分 类 号：TM723[电气工程—电力系统及自动化]