PI: Juan Pablo Vielma, Sloan School of Management, MIT
PI: David Pozo, Energy Systems, Skoltech
The energy networks, including power systems and natural gas systems, are in continuous profound evolution. During the last decade, this transformation turned into smart grids revolution. Many new technologies have appeared and they potentially will be integrated in near future. The technologies also lead to significant progress in new theoretical engineering methods and new potential algorithms for optimization, control and planning of the energy infrastructures. Those new algorithms are now data-enabled by better observability through the state-of-the-art solutions. However, there is a vast need of new and better mathematical algorithms for exploiting the potential of this technologies in energy systems. Furthermore, energy infrastructures are generally regulated as vital for the security of the countries. An unfortunate drawback of this tight control of the critical energy infrastructures is the monopoly often resulting in the lack of incentives to incorporate modern technologies and theoretical engineering solutions into practice. To mitigate the negative effect of the tight regulations of the critical energy infrastructures, countries are investing into research providing critical guidance to government on updating or changing the regulations. A set of electricity and gas network planning procedures and computational tools will be developed to implement robust planning based on new mathematical models and advance probabilistic modelling programming. The planning tools and procedures will allow the development of generalized guides of procedures, policies and grid codes specific for the grids of the future.