QV Analysis for the Identification of Vulnerable Zones to Voltage Collapse: A Study Case

Radial High-Voltage networks have problems ensuring voltage stability when a fault occurs. Among preventive actions for these events, installing reactive power compensation in the most vulnerable zones to instability is an economical and simple alternative. Previous works used QV curves methodology based on contingency flows identify such zones. However, this method has been criticized because it does not consider dynamical effect of some network elements that depend levels, especially scenarios. This article proposes curve analysis operating point resulting from dynamic simulations amend critique. To evaluate proposed procedure, model Patagonian Network southern Argentina through PSS/E software with help Python programming language. The results detect areas after occurs necessary maintain levels acceptable range. can be applied other networks. For example, Latin-American context assess future expansions, those linking countries, as Ecuador Perú or Colombia, even Centro American Interconnected System.