About
The course focuses on two smart grid technologies for electricity grids: a) smart chargers for electric vehicles and b) soft open points. The former allow the electric vehicles to charge with electricity when it is optimal for the grid (this is why they are called 'smart'). The latter can control the power flow across lines that would otherwise remain open (i.e. intentionally kept open so no electricity can flow). Both technologies are considered "smart" because they respond dynamically to grid conditions, operating when it is most advantageous for the electricity grid. The deployment of such smart technologies to the electricity grid makes it a 'smart grid'. You will use stochastic optimization to conduct the following economic study: How does the investment cost of these technologies (i.e., the cost incurred to deploy these technologies in the grid) affect the size of their deployment under uncertainty? The more their investment cost increases, the less they become deployed. We study this relationship under different scenarios, such as a scenario where a large number of electric vehicles are connected in the system (thus, the demand increases significantly) Prerequisites: There are no prerequisites. The course does not focus on the code. Instead, it focuses on the results and the lessons learned.