Sahar S. Barhagh

Sahar S. Barhagh

Thesis title: Robust Allocation and Sizing of Electric Vehicle Charging Stations in Distribution Networks via Robust Optimizing Model

M.Sc. period: 2016-2018

Supervisors: Professor Behnam Mohammadi-Ivatloo, Professor Kazem Zare.

No one can cast doubt on the fact that big portions of fossil fuels are used as fuel for gas-powered vehicles and production of electricity in the power plants; therefore, an increase in fossil fuel usage brings several consequences such as greenhouse gas emissions, consumption of the non-renewable resources, etc. These reasons are well-enough important to draw the attention toward alternatives like electric vehicles, environmental-friendly energy generation methods, and optimal management of energy resources. One of the available options is the penetration of electric vehicles into the energy systems. In our project, an optimization framework based on a robust optimization method (ROM) is being proposed for optimal placement and sizing of electrical vehicles charging stations (EVCS) in distribution systems. This model aims at maximizing the total benefit of the owner of EVCSs. To this end, a mixed-integer non-linear programming (MINLP) model is developed to optimize the performance of EVCSs under the uncertain behavior of electric power consumers. In order to model the mentioned uncertainty, in contrast to other studies that have dealt with ROM through decomposition methodologies, this model benefits from a novel specific mathematical formulation to assess the uncertainty.

Publications in journals and conference papers may be found at Publications Page or Google Scholar.