Intelligent Power Management System of Bangladesh Using Artificial Neural Network

In this research work, we have developed an intelligent power management system using Artificial Neural Network (ANN) which will control load shedding automatically in a local distribution area and utilize different types of power generation units like conventional and non-conventional energy sources. If generation is not sufficient to meet the load demand, then ANN network will anticipate and predict when the load demand is greater than generation and will suggest specifically the area where load shedding would be appropriate. Utilizing and manipulating different types of seasonal and occasional load data (which is actually divided into different areas such as residential-load, industrial-load, commercial-load and VIP-load), we have designed the artificial neural network so that it will automatically show us the area where load-shedding would be preferable on the basis of priority. Hence, the priority is given by the area where maximum load-shedding is desired.