V2X Local Network Fleet Solution

该项目研究了功能性车辆对x操作框架的可行性，该框架将微电网的能源成本降至最低，使用电动汽车作为临时供需不匹配的存储。该项目的相关性在于，由于可再生能源的间歇性和需求的高度可变性，以及使用V2X技术提供辅助服务带来的新的潜在收入流，这些不匹配的频率越来越高。为了研究这一问题，将收集数据，利用人工智能技术准确预测电动汽车插电次数和未来一天的能源需求。然后将使用这些准确的预测来评估最佳负载平衡、最小化能源成本和最大化第二天提供辅助服务的收入。V2X直流微电网基础设施将成为测试用例和技术演示的基础。预测、管理平台、硬件基础设施和测试平台的结合，为微电网中的车队提供了端到端V2X解决方案的可行性测试。

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.