Aggregator of Electric Vehicles and the Electricity Market
Electric vehicle (EV) is one element (and not the solution) to reduce the emissions of greenhouse gases and other pollutants and facilitate the power system operation with a high penetration of renewable energy resources. The massive deployment of the EV and interaction with the power system (i.e., transmission and distribution system operators) requires an agent responsible for aggregating EV and managing their charging process. This agent is called aggregator and it is an enabler of the EV integration in the electricity market and power system operations.
Furthermore, for increasing the efficiency of the electricity market and power system operation, the full participation of demand-side resources (e.g., EV) is essential. The goal is to have demand-side treated equally with the supply-side and providing similar services (e.g., reserve) without compromising power system reliability. In order to meet this goal and contribute for a sustainable development of the energy sector, interdisciplinary computational models (from operations research, statistics, power system analysis, etc.) are needed for facilitating the EV aggregator activity. This interdisciplinary framework is called computational sustainability.
My research is focused in developing algorithms for the participation of an EV aggregator in the electricity market. These algorithms comprise the participation in the day-ahead energy and reserve market, as well as the EV charging management during the physical delivery period (i.e., the actual charging decisions).
Furthermore, for increasing the efficiency of the electricity market and power system operation, the full participation of demand-side resources (e.g., EV) is essential. The goal is to have demand-side treated equally with the supply-side and providing similar services (e.g., reserve) without compromising power system reliability. In order to meet this goal and contribute for a sustainable development of the energy sector, interdisciplinary computational models (from operations research, statistics, power system analysis, etc.) are needed for facilitating the EV aggregator activity. This interdisciplinary framework is called computational sustainability.
My research is focused in developing algorithms for the participation of an EV aggregator in the electricity market. These algorithms comprise the participation in the day-ahead energy and reserve market, as well as the EV charging management during the physical delivery period (i.e., the actual charging decisions).