This project investigates the feasibility of a functional vehicle-to-X operating framework that minimises the energy costs of the microgrid using EVs as storage for temporary mismatches between demand and supply. The relevance of the project resides in the increasingly higher frequency of these mismatches because of the intermittent nature of renewables and the high variability of the demand, as well as the new potential revenue stream from provision of ancillary services using V2X technology. To investigate this issue, data will be collected to accurately predict EV plug-in times and energy demand in the day-ahead horizon using Artificial Intelligence. Optimal load balancing, minimising energy cost and maximising revenues from the provision of ancillary services for the next day, will then be evaluated using these accurate predictions. V2X DC microgrid infrastructure will be the basis for testing of use cases and demonstration of the technology. The combination of predictions, management platform, hardware infrastructure and testbed allows feasibility testing of an end-to-end V2X solution for fleets in a microgrid.
Europe
2022 2023
Unknown
Focus: Technical & Commercial
Segment: Commercial
Charging location: Work
Tech: This project investigates the feasibility of a functional vehicle-to-X operating framework that minimises the energy costs of the microgrid using EVs as storage for temporary mismatches between demand and supply. The relevance of the project resides in the increasingly higher frequency of these mismatches because of the intermittent nature of renewables and the high variability of the demand, as well as the new potential revenue stream from provision of ancillary services using V2X technology. To investigate this issue, data will be collected to accurately predict EV plug-in times and energy demand in the day-ahead horizon using Artificial Intelligence. Optimal load balancing, minimising energy cost and maximising revenues from the provision of ancillary services for the next day, will then be evaluated using these accurate predictions. V2X DC microgrid infrastructure will be the basis for testing of use cases and demonstration of the technology. Fuuse will lead this consortium to develop new and innovative capabilities of their Fuuse charge point management solution to optimise microgrid load balancing. They will integrate AI-based predictions of energy demand and supply developed by IngridAI, who are entering the market with their software solution. Turbo Power Systems will expand their existing V2G-ready DC microgrid infrastructure solution to allow V2X and integrations of innovations from Miralis and IngridAI. This will be tested on a local network testbed provided by the UK's primary testing laboratory for power networks, Power Networks Demonstration Centre. This formula provides the partners with an ideal Research and Development set up to grow and test their individual product offering, learning from case studies, mutual data sharing and product integration. The combination of predictions, management platform, hardware infrastructure and testbed allows feasibility testing of an end-to-end V2X solution [BAJ1] for fleets in a microgrid.
Charger Type: DC