基于PMU的利用导纳的延迟电压恢复的监测和缓解
PMU based Monitoring and Mitigation of Delayed Voltage Recovery using Admittances
摘要：
通过引入负荷导纳和热继电器动态特性对西部电力协调委员会（WECC）的复合负荷模型进行简化，分析了电压恢复延迟现象。从这个分析中，一个封闭的形式近似的恢复时间的表达式推导和关键的负载参数影响的电压恢复的行为被识别。然后，提出了一种基于测得的负载导纳的监测方案，以检测失速的发生，即使在存在电压振荡的情况下，并估计延迟电压恢复的持续时间。一个缓解方案，利用智能恒温器和离线学习，以确保电压恢复到事故前的电压在指定的时间内。监测和缓解方案都只需要在变电站进行本地测量，这使得它们有希望用于在线应用。IEEE 162总线系统验证用于分析的各种假设，并建立延迟电压恢复现象和负载导纳之间的连接的监测和缓解方案的结果进行了详细描述。
英文摘要：
This paper analyzes the delayed voltage recovery phenomenon by simplifying the Western Electricity Coordinating Council (WECC) composite load model using the load admittance and the thermal relay dynamics. From this analysis, a closed form expression approximating the recovery time is derived and the key load parameters impacting the behavior of voltage recovery are identified. A monitoring scheme based on the measured load admittance is then proposed to detect the onset of stalling, even in the presence of voltage oscillations, and estimate the duration of the delayed voltage recovery. A mitigation scheme utilizing smart thermostats and offline learning is also derived to ensure that the voltage recovers to the pre-contingency voltage within a specified time. Both the monitoring and mitigation schemes only need local measurements at a substation making them promising for online applications. Results for the monitoring and mitigation schemes are described in detail for the IEEE 162 bus system validating the various assumptions used for the analysis and establishing the connection between the delayed voltage recovery phenomenon and load admittance.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
