Decision system for incremental upgrades of the Power Distribution System for Electric Vehicles

The growing demand of Electric energy powered vehicles has some unwanted side effects on the current power grid system. Some of these side effects are wires not being able to sustain such high currents for prolonged periods of time, transformers not being able to sustain stable voltages [1], to sustain the added energy demands. Thus, we have to solve how and where we can provide a feasible incremental upgrade approach for the energy distribution companies. This requires us to monitor voltage and current output of various nodes in the electrical distribution system, which is able to collect data and identify patterns. Thus, a real-time monitoring and decision making system is proposed that is able to forecast future needs as well. The simulated environment created in this thesis verifies that such monitoring system can provide valuable information to distribution companies and identify problems in the grid for immediate and future upgrades