摘要
常用的发电机群相关识别算法,大都针对电网扰动和计算模型对相关机群识别结果的影响做出一定假设。为了验证这些假设的合理性,使用动态稳定分析程序针对一个6机22节点的电网模型进行各种条件下的相关识别结果对照。根据计算得到的发电机转子摇摆曲线数据,计算出两两发电机组相关程度指标,并进行量化对比。对比的结果显示:电网扰动的大小、发电机模型的复杂程度、负荷模型的类型对发电机群相关识别的结果影响很小,从而验证了假设条件的合理性。
Most of coherence identification algorithms have made some assumptions about the disturbance and computing models'effects on the result of coherence. In order to validate these assumptions ,several dynamic stability calculations are carried out on a power system model with 6 generators and 22 buses in different assumptions. A coherence indicator is calculated for every pair of generators ,and all the quantified indicators in different assumptions are compared with one another. Based on the results,a conclusion can be drawn that all these assumptions are reasonable.
出处
《电力系统及其自动化学报》
CSCD
北大核心
2005年第4期53-58,共6页
Proceedings of the CSU-EPSA
基金
山东大学威海分校基金资助项目(XL02000)
关键词
电力系统
相关识别
假设条件验证
相关度指标
定量分析
power system
identification of coherence
validations of assumptions
indicator for coherence
quantificational analysis