Abstract:
Voltage stability in the electrical distribution network is the ability of the electrical network to absorb voltage shocks and return to a state of equilibrium after voltage variations caused by the equipment in the grid or by external factors.
A distribution system that loses its stability is a system that can no longer supply users and is consequently a system that will collapse. The collapse of an electrical energy distribution network occurs as a result of overloads at the consumption level, as a result of a major fault or insufficient reactive power in the system.
The collapse can occur in a part of the electrical network or in the entire distribution network, depending on the parameters of the network and the nodes at the time of the unwanted event.
The collapse of the system may begin with slight voltage drops in the network, but following a voltage variation which are of three kinds: fast, medium or slow. The voltages in the network nodes may suffer quick voltage drops that ultimately lead to the collapse of the system, or the system collapse may occur as a result of cascading unwanted events.
This article analyses theoretical aspects regarding voltage stability in electrical networks and practical results of simulating the real parameters and behavior of an industrial park near Brașov in various states and power levels. The voltage stability for the nodes of a distribution network in the industrial park will be studied using appropriate calculation methods and programs, starting from the current situation where consumption is about 40% of the approved power and the distribution capacity of the connection cables and until reaching the maximum distribution capacity in both consumer and producer modes.
The information resulting from the voltage stability analysis could be input data for a voltage regulator based on fuzzy theory to regulate the voltage and, in this way, could regulate the voltage online in the power grid.
International Scientific Multidisciplinary Conference: AI for a Smarter Tomorrow - AI-SMART , September 25-26, 2025
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