The voltage stability problem is associated with the maximum power injection in the network and the possibility of the voltage control having the opposite effect. Some real cases of blackouts characterized by voltage decays suggest that normal procedures for automatic voltage control can adversely affect the voltage level in the system. This may have been because in special situations, characterized by an inverse relationship between the controls variables in the devices used to control the system voltage, the automatic voltage control can have the opposite effect to that expected based on the design logic. This statement is based on the criterion for small-disturbance voltage stability: At a given operating condition for every bus in the system, a system is voltage-stable if the bus voltage magnitude increases as the reactive power injection at the same bus is increased. A system is voltage-unstable if, for at least one bus in the system, the bus voltage magnitude decreases as the reactive power injection at the same bus is increased. In addition, it is based on the 𝑉𝑄 curve criterion: Since all reactive power control devices are designed to operate satisfactorily when an increase in 𝑄 is accompanied by an increase in 𝑉, operation on the right side of the 𝑉𝑄 is stable and on the left side is unstable. Besides, the bottom of the 𝑉𝑄 curve represents the stability limit and defines the minimum reactive power requirement for stable operation. The unexpected control effect could produce excessively low (or high) voltages for normal system operation and cause undesirable consequences. In light of this, the present work seeks to analyze in the time domain the effects of device control actions starting from points where the control variables are inversely related and validated (or not) the results estimated by methods based on static analysis, for example, the criterion for small-disturbance voltage stability and 𝑉𝑄 curve. Dynamic simulations show that static analysis cannot be applied to all types of devices used to control the voltage. Another possible cause of the voltage stability problem is the action of overexcitation limiters. For this reason, it is proposed a way for identifying the machines that have a chance to hit the overexcitation limit in static analysis studies. However, in most cases, the action of these limiters has no detrimental effect on system stability and, therefore, it is also proposed a criterion that identifies the imminent loss of stability due to these limiters. This criterion may be useful in design of load shedding schemes, in order to prevent loss of stability, and can be used for online security assessment, warning for instability and indicating preventive actions.