论文标题
通过完全数据驱动的方法评估惯性中心和区域惯性的中心和载荷贡献
Assessment of the Center of Inertia and Regional Inertia with Load Contribution via a Fully Data-Driven Method
论文作者
论文摘要
本文提出了一种新的综合且完全数据驱动的方法，以估算惯性中心（COI）和区域惯性，考虑到COI的位移，这是由于干扰和负载惯性贡献所致。该策略使用基于典型性的数据分析（TDA）技术来检测代表COI的正确试点车。在TDA中，实现了相关性和余弦相似性的化合物，以近似数据的实际分布，并找到最接近当选为试验的平均值的点（总线）。然后，将试验型和主动功率偏差处的频率响应嵌入到自回归的移动平均外源输入（ARMAX）基于基于等效机器代表的区域惯性的方法中，其惯性常数对应于该地区的惯性贡献。 ％是为了使用试验驾驶仪的频率响应和区域互连的主动功率对区域进行惯性估计，以模拟该区域的AS和等效机器，其惯性常数是使用ARMAX识别技术估算的。使用IEEE 68-BUS基准测试系统和具有汇总动力载荷的改编版本对该方法进行测试，从而证实了方法有效性。
This paper proposes a new comprehensive and fully data-driven methodology to estimate the center of inertia (COI) and the regional inertia, considering the displacement of the COI due to disturbances and load inertial contributions. The strategy uses the typicality-based data analysis (TDA) technique to detect the right pilot-bus that represents the COI. In the TDA, a compound of correlation and cosine similarities is implemented to approximate the actual distribution of the data and find the point (bus) closest to the mean which is elected as the pilot-bus. Then, the frequency response at the pilot-bus and the active power deviations are embedded into an autoregressive moving average exogenous input (ARMAX)-based approach to determine the regional inertia represented by an equivalent machine, whose inertia constant corresponds to the inertial contribution in the Region. % the This is done in order to perform the inertial estimation of the region using the frequency response of the pilot-bus and the active power of the region interconnections to model the region as and equivalent machine whose inertial constant is estimated using ARMAX identification technique. The methodology is tested using the IEEE 68-bus benchmark test system and an adapted version with aggregated dynamical loads, corroborating the method effectiveness.
