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电力系统动态频率响应时空分布特征量化描述 被引量:71

Quantitative Description of Space-time Distribution Features of Dynamic Frequency Responses
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摘要 由于网络在地理上分布不均匀、机组及其控制器参数差异,以及不同区域负荷特性不同,大型互联电力系统的动态频率响应时空分布特征显著。讨论了动态频率响应时空分布特征及研究方法;为便于讨论,定义了观测空间、响应时间以及响应线性区间。提出基于观测空间的频率响应时空分布特征量化描述方法:通过计算扰动后各观测点处频率线性变化区间内的平均变化率、对扰动的响应延时、频率偏移最大量及延时、过渡过程中主导振荡模式的阻尼比来描述系统动态频率响应时空分布特征。基于上述方法,可得到频率响应时空分布特征矩阵,从而可较好地通过微观变量来量化描述系统的宏观动态行为。讨论时空特征矩阵的潜在应用领域,并给出以观测点的响应延时估计扰动位置的示例。以华北互联电网为例进行了仿真计算,验证了所提出方法的有效性。 Due to geographically uneven distribution of transmission corridors, parameters difference among different generators and their controllers, and various load characteristics in different zones, the dynamic frequency responses of large interconnected power system show notable space-time distribution features. In order to facilitate the discussions, the definitions of observation space, response time and linear changing scope were presented. In observation space, a method was proposed to quantitatively describe these space-time distribution features. Five variables were defined and calculated based on the frequency dynamic processes in observation space, including the mean changing rate of frequency just after disturbance, the response time delay to disturbance, the maximum frequency excursion and corresponding time delay, and the damping ratio of dominant frequency oscillation mode. With the proposed method, a space-time distribution matrix was calculated, which could clearly describe the characteristics of macroscopic dynamic behaviors of frequency by microscopic variables. The potential applications of the space-time distribution matrix were discussed, and an example was given to show how to estimate disturbance locations based on the matrix. Digital simulations were done with North China interconnected power system, demonstrating the validity of the proposed method.
出处 《中国电机工程学报》 EI CSCD 北大核心 2009年第7期64-70,共7页 Proceedings of the CSEE
基金 国家自然科学基金项目(50807031)。~~
关键词 电力系统 频率特性 动态频率响应 时空分布特征 扰动定位 power system frequency characteristics dynamic frequency responses time-space distribution features disturbance location
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