2020/11/21 by Gourav Wadhwa, Amandeep Kharb, Wadhwa, Gourav +7
Engineering · #Power System Optimization and Stability #Smart Grid and Power Systems #Power Systems Fault Detection
paper · pdf · doi:10.48550/arxiv.2011.10885
Accurate real-time assessment of power systems voltage stability has been an\nactive area of research in the past few decades. In the past decade, after the\ndevelopment of phasor measurement units (PMU), a lot of discussions has been\ngoing on phasor measurement techniques for real-time voltage stability. The\nfundamental idea behind these methods is to find the Thevenin equivalents of\nthe system, and then determine the voltage stability margin based on the\nequivalent circuits. Some approaches also include the use of Artificial Neural\nNetworks (ANN), for online monitoring of voltage stability margins. These\nmethods are really fast as compared to the other methods. It has been shown\nthat if we can obtain the phase angles and voltage magnitude in real-time from\nthe phasor measurement units (PMU), then the voltage stability margins can be\nobtained in real-time and we can initiate voltage stability control methods. We\nare going to discuss Thevenin's equivalent methods and Artificial Intelligence\nmethods in detail in this paper. We will also introduce the traditional methods\nwhich were earlier used for power systems stability assessment such as Time\nDomain methods, Static Methods, and Sensitivity methods. We are going to\nfinally compare these methods and try to give general guidance on choosing a\npower stability method.\n