This paper presents an artificial neural network (ANN) model for evaluating the voltage collapse point of a power system. Random changes in load level at all busbars in a distribution network will change the operating margin of the power system from a voltage stability point of view. The proposed method is able to almost accurately predict the voltage stability factor of a given distribution network resulting from either real or reactive power load changes or any other system parameter change.
- artificial neural networks; network reconfiguration; loss minimization; distribution networks
Available at: http://works.bepress.com/mahmoud_moghavvemi/124/