摘要
提出一种优化阻尼控制参数的新方法,以改善系统在遭受大扰动后的动态品质。算法包含一个先阻尼评估后参数优化的过程,将基于单机等效法(single machine equivalent,SIME)的普罗尼(Prony)分析用于对故障后系统振荡的阻尼评估。所得到的阻尼比作为大扰动下控制效果的评估指标。若系统振荡欠阻尼,则以该阻尼比作为变量构造目标函数,将遗传算法与上述阻尼评估过程相结合对控制参数进行协调优化。6机双馈入直流系统和50机145节点模拟系统的仿真结果表明:算法准确地提取了多机系统故障后振荡的关键信息;阻尼比作为阻尼控制措施的评估指标切实可行;阻尼控制参数的二次优化使系统在大扰动后仍能满足阻尼性能指标的要求,并且有效地抑制了故障后欠阻尼的振荡。
A new approach for optimizing damping control parameters based on damping assessment of oscillations after contingency is proposed in this paper. Prony analysis based on single machine equivalent （SIME） is used for critical modal identification and damping assessment. Damping ratio is considered as an important index for evaluation of damping control performance. The study of parameter optimization of damping control for poorly damped oscillations by combining genetic algorithm （GA） with damping assessment in a time-domain program simulation was carried out. The objective function for GA takes damping ratio as its variable. Test results for both 6-machine-dual-infeed HVDC and 50-machine-145- bus systems show that the algorithm extracts key information from multi-machine oscillations correctly; damping ratio is an effective index for evaluation of damping control effect; coordinated damping control based on information aforementioned provides good damping torque to oscillations after fault and improves system large-signal dynamic performance apparently.
出处
《中国电机工程学报》
EI
CSCD
北大核心
2008年第22期69-74,共6页
Proceedings of the CSEE
基金
国家自然科学基金重点项目(50337010)~~
关键词
故障后振荡
欠阻尼
单机等效法
普罗尼分析
遗传算法
阻尼控制
参数优化
oscillations post-fault
poorly damped
single machine equivalent
Prony analysis
genetic algorithm
damping control
parameter optimization
