AbstractsComputer Science

Electrical power systems in any part of the world are expected to deliver continuous, uninterrupted and reliable power to the consumers irrespective of the geographical and weather conditions throughout the year. But they are affected by various factors causing problems such as power loss, voltage fluctuation, blackouts, etc. Many modern power systems are regularly facing problems due to voltage instability which is a threat for a reliable and secure operation. The protection of power systems is hugely dependent on the use of the wide range of distance relays based on electromechanical, solid-state and digital electronics technologies. In my study, an Artificial Neural Network (ANN) model is used along with Continuation Power Flow methods to assess the voltage stability of a power system. The Modal Analysis Method is first implemented to identify the most vulnerable load buses of the power system. Hundreds of loading patterns are generated by varying the real and reactive power. With the help of the input patterns and the target outputs, an appropriate ANN is trained and thereafter it is tested with a new set of loading patterns. The proposed method is applied to the IEEE 14 bus test system and the trained ANN provides results for all the vulnerable load buses of the power system.