Date of Award


Publication Type

Master Thesis

Degree Name



Electrical and Computer Engineering

First Advisor

Tepe, Kemal


Applied sciences, Incremental upgrades, Power grid, Sensor, Server, Smart grid



Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.


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.