暂态稳定研究中临界距离保护的数学识别方法
An Algorithmic Approach for Identifying Critical Distance Relays for Transient Stability Studies
摘要：
在大扰动之后，电力系统的行为由其资产和保护方案的动态特性决定。因此，对保护装置进行建模对于进行精确的稳定性研究至关重要。由于当前稳定性软件的局限性，以及维护和更新数千个保护设备的数据的困难，对大容量电力系统中的所有保护设备进行建模是一项棘手的任务。在稳定性研究中没有充分建模的关键保护方案之一是距离继电保护。因此，本文提出了一种算法，使用两种方法来确定的关键距离继电器建模稳定性研究：（i）视在阻抗监测，和（ii）的最小电压评估（MVE）。该算法在Python 3.6中实现，并使用GE正序潮流分析（PSLF）软件进行稳定性研究。该算法的性能在代表2018年夏季高峰负荷的西部电力协调委员会（WECC）系统数据上进行了评估。代表各种类型的突发事件的案例研究的结果表明，有一个准确的评估系统的行为，建模的关键距离继电器确定的算法就足够了，没有必要建模的所有距离继电器。
英文摘要：
After major disturbances, power system behavior is governed by the dynamic characteristics of its assets and protection schemes. Therefore, modeling protection devices is essential for performing accurate stability studies. Modeling all the protection devices in a bulk power system is an intractable task due to the limitations of current stability software, and the difficulty of maintaining and updating the data for thousands of protection devices. One of the critical protection schemes that is not adequately modeled in stability studies is distance relaying. Therefore, this paper proposes an algorithm that uses two methods to identify the critical distance relays to be modeled in stability studies: (i) apparent impedance monitoring, and (ii) the minimum voltage evaluation (MVE). The algorithm is implemented in Python 3.6 and uses the GE positive sequence load flow analysis (PSLF) software for performing stability studies. The performance of the algorithm is evaluated on the Western Electricity Coordinating Council (WECC) system data representing the 2018 summer-peak load. The results of the case studies representing various types of contingencies show that to have an accurate assessment of system behavior, modeling the critical distance relays identified by the algorithm suffices, and there is no need for modeling all the distance relays.
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