Intelligent Control and Optimization for PV-Based EV Fast Charging Stations

加拿大正朝着部署电动汽车的方向发展，这需要大容量的充电基础设施。考虑到充电容量和充电时间要求，首选快速充电站。AlternatePower International （API）在加拿大和全球范围内积极开发、整合和安装太阳能/光伏（PV）系统。API正在寻求先进的基于pv的充电站，以支持交通基础设施，以满足安大略省/加拿大对清洁能源的要求。本项目旨在设计、控制和优化基于光伏的支持电动汽车的快速充电站，采用集成的光伏和智能控制系统，采用滞后控制策略和优化技术。拟议的设计将允许由Alternate Power International Ltd.提供的光伏系统为具有高投资回报率（ROI）的改进系统提供最大功率。拟议中的快速充电站将在住宅和公共充电基础设施中实施。电站的能量管理由智能控制算法完成，该算法指导光伏、快速充电器、储能系统和电网连接之间的功率流。在光伏系统、储能系统的大小和电网连接的额定功率之间有一个明显的权衡。根据充电站设计、需求、运行要求以及天气预报，综合、分析和优化不同的出行和充电模式，实现高roi。此外，对于不同里程的车辆，该技术可以进行调整和优化，以提供电动汽车和配套设施所需的所有电力。该系统将包括光伏系统、电池、转换器/逆变器、充电头模块、电网接口模块、控制系统以及综合能源优化系统。将开发智能优化算法来优化光伏系统的设计和集成。对于系统的每个部分，将对物理和经济模型进行评估和优化。将开发一种技术经济优化算法，以确保整体高性能和利润。

Canada is moving towards deployment of electric vehicles, which requires large capacity charginginfrastructures. To meet charging capacity and time requirements, fast charging stations are preferred. AlternatePower International (API) is active in developing, integrating, and installing solar / Photovoltaic (PV) systemsin Canada and worldwide. API is seeking advanced PV-based charging stations to support transportationinfrastructures to meet Ontario/Canada requirements of clean energy. This project is aiming at the design,control and optimization of PV-based fast charging stations to support electric vehicles (EVs) using integratedPhotovoltaic (PV) and intelligent control system with hysteresis control strategy and optimization techniques.The proposed design will allow PV systems, provided by Alternate Power International Ltd., to providemaximum power for improved system with high Return-On-Investment (ROI). The proposed fast chargingstations will be implemented in residential and public charging infrastructures.The energy management in the station is performed by an intelligent control algorithm that directs the powerflows among the PV, fast chargers, the energy storage system and the grid connection. There is a clear trade-offbetween the size of the PV system, energy storage system, and the power rating of the grid connection.Different mobility and charging models will be synthesized, analyzed, and optimized to achieve high ROIbased on station design, demands, and operation requirements, as well as weather forecasting. Moreover, withdifferent-range vehicles, this technology can be tuned and optimized to supply all the power required for EVsand the supporting utilities. The proposed system will include PV system, battery, converters / inverters,charger head module, grid interface module, control systems, as well as integrated energy optimization system.Intelligent optimization algorithms will be developed to optimize PV system design and their integration. Foreach part of the system, physical and economical models will be evaluated and optimized. A techno-economicoptimization algorithms will be developed to ensure overall high performance and profits.