论文标题
使用同步测量测量的动力系统惯性分布的动态估计
Dynamic Estimation of Power System Inertia Distribution Using Synchrophasor Measurements
论文作者
论文摘要
现代电力系统中间歇性可再生能源的整合非常快。替换为零到低变量可再生能源的同步发电机大大降低了系统的惯性。在大型系统中，惯性分布可能有很大差异，低惯性区域更容易受到频率偏差的影响，从而带来了负载脱落和发电的风险。因此，操作员有必要实时评估和量化系统惯性及其分布。本文提出了一种新型的同步相量测量单元（PMU）的动态系统惯性估计方法。提出的惯性估计方法是使用电距离和聚类算法得出的，该算法考虑了相对于进食负载和振荡的影响的测量位置的影响。在估计期间，还确定了惯性（COI）区域和低惯性区域。数值模拟使用瞬态安全分析工具（TSAT）（DSATOOLS的核心模块）在IEEE 24总线系统上进行了各种负载概况，该工具证明了所提出的方法的功效。
Integration of intermittent renewable energy sources in modern power systems is increasing very fast. Replacement of synchronous generators with zero-to-low variable renewables substantially decreases the system inertia. In a large system, inertia distribution may vary significantly, areas of low inertia are more susceptible to frequency deviation, posing risks of load shedding and generation trip. Therefore, it is necessary for operators to evaluate and quantify the system inertia and its distribution in real time. This paper proposes a novel synchronized phasor measurement units (PMUs)-based dynamic system inertia estimation method. The proposed inertia estimation method is derived using electrical distance and clustering algorithm, which considers the impact of location of measurements relative to in-feed load and impact of oscillations. The center of inertia (COI) area and area of low inertia are also determined during the estimation. Numerical simulations are conducted on the IEEE 24-bus system with various load profiles using Transient Security Analysis Tools (TSAT), a core module of the DSATools, which demonstrate the efficacy of the proposed approach.
