论文标题
使用离散实用程序功能的电动汽车灵活性服务的补偿机制
A Compensation Mechanism for EV Flexibility Services using Discrete Utility Functions
论文作者
论文摘要
薪酬机制用于抵消由于优质的服务问题，用户遭受的不适。目前，此类机制用于电力和能源领域的不同目的，例如功率质量和可靠性。本文提出了一种补偿机制，使用电动机灵活性管理由充电点运算符（CPO）管理的一组充电会话。用户的偏好和与CPO的双边协议是通过离散实用程序功能建模的，该功能无法提供。使用来自荷兰的停车场的办公大楼中的历史数据，给出了提出的补偿机制的数学证明，并将其应用于测试场景。使用多元椭圆形的Copulas生成400个充电会话的合成数据，以捕获EV充电数据中的复杂依赖性结构。数值结果验证了提出的补偿机制的有用性，这是CPO和用户在不提供能源的情况下的一种有吸引力的措施。
Compensation mechanisms are used to counterbalance the discomfort suffered by users due to quality service issues. Such mechanisms are currently used for different purposes in the electrical power and energy sector, e.g., power quality and reliability. This paper proposes a compensation mechanism using EV flexibility management of a set of charging sessions managed by a charging point operator (CPO). Users' preferences and bilateral agreements with the CPO are modelled via discrete utility functions for the energy not served. A mathematical proof of the proposed compensation mechanism is given and applied to a test scenario using historical data from an office building with a parking lot in the Netherlands. Synthetic data for 400 charging sessions was generated using multivariate elliptical copulas to capture the complex dependency structures in EV charging data. Numerical results validate the usefulness of the proposed compensation mechanism as an attractive measure both for the CPO and the users in case of energy not served.
