Toward Fully Renewable Electric Energy Systems
Renewable energy sources are here to stay for a number of important reasons, including global warming and the depletion of fossil fuels. We explore in this presentation how a thermal-dominated electric energy system can be transformed into a renewable-dominated one. This study relies on a stochastic programming model that allows representing the uncertain parameters plaguing such long-term planning exercise. Being the final year of our analysis 2050, we represent the transition from today to 2050 by allowing investment in both production and transmission facilities, with the target of achieving a renewable-dominated minimum-cost system. The methodology developed is illustrated using a realistic large-scale case study. Finally, policy conclusions are drawn.
Antonio Conejo, a professor at the Universidad de Castilla-La Mancha, Spain, joined The Ohio State University’s departments of ISE and ECE in January 2014. His areas of expertise are electric energy systems and the mathematical tools for decision-making in energy systems. He has contributed to the current design of electricity markets and to the development of methods and policies for their efficient operation. His interests include devising ways to enable a large-scale integration of renewable sources in electric energy systems. He is editor-in-chief of the IEEE Transactions on Power Systems, an IEEE Fellow, and chair of the IEEE PES Power System Operations Committee.
He has published more than 150 papers in SCI journals and is the author or coauthor of books published by Springer, John Wiley, McGraw-Hill and CRC. He has been the principal investigator on many research projects.