Title: Photovoltaic array on highway pavement under the dynamic random vehicle shading conditions

Abstract:

 The objective of two-stage SD-MILP is modeled as a convex combination of the expected profit and the T-CVaR hourly risk measure. When day-ahead, intra-day and real-time market prices and fleet mobility are uncertain, the proposed two-stage SD-MILP model yields optimal EV charging/discharging plans for day-ahead, intra-day and real-time markets at per device level. The degradation costs of EV batteries are precisely modeled. To reflect the continuous clearing nature of the intra-day and real-time markets, rolling planning is applied, which allows re-forecasting and re-dispatching. The proposed two-stage SD-MILP is used to derive a bidding curve of an aggregator managing 1000 EVs. Furthermore, the model statistics and computation time are recorded while simulating the developed algorithm with 5000 EVs.

Biography:

Dr. Julio Terrados holds a Ph.D. in Engineering from the University of Jaén (Spain) since 2005, and Master Degrees both in Aeronautical Engineering (Madrid Polytechnics University, 1989) and in Business Administration MBA (IDEOR, 1994). He teaches and researches at University of Jaén since 1994 and serves currently as Tenured Senior Lecturer at Projects Department. He is also an External Professor at the Universidad Internacional de Andalucia and Visiting Professor at Universidad de Cartagena (Colombia). Dr. Terrados main research interests are focused on sustainable energy planning, renewable resources assessment and strategic planning. He has co-authored twenty-five peer-reviewed papers and twenty- two books and chapters. In addition, he has been main researcher or participant in more than twenty research projects funded by public institutions or private companies.