作者：杨凯, 林永君, 白青飞, 陈鑫, 李静

作者单位：华北电力大学 新能源电力系统国家重点实验室，河北 保定 071003

关键词：多时间尺度;数据库;能量管理;V2B;仿真平台

摘要：

随着电动汽车数量的快速增长，其大规模无序接入将使电网电能质量与运行稳定性显著降低，为此对集群电动汽车充放电与并网行为的研究显得尤为重要。针对上述问题，基于多时间尺度搭建一种车网协同硬件在环仿真平台，平台利用电网实时仿真器实现电网实时仿真，以实时数据库为桥梁，连接上层能量管理系统、下层仿真模型以及硬件设备，并基于实时数据库可视化界面对仿真运行结果进行直观展示，最后，基于所搭建平台对V2G（电动汽车到电网）、V2B（电动汽车到智能楼宇）、V2H（电动汽车到家庭）等典型场景进行算例仿真验证，仿真结果可为车网协同优化调度提供支持。

Electric vehicle hardware-in-the-loop simulation platform based on multiple-time scale
YANG Kai, LIN Yongjun, BAI Qingfei, CHEN Xin, LI Jing
State Key Laboratory of New Energy Power System, North China Electric Power University, Baoding 071003, China
Abstract: With the rapid growth of the number of electric vehicles, its large-scale disordered access will significantly reduce the power quality and operation stability of the power grid. Therefore, it is particularly important to study the charging and discharging and grid connected behavior of cluster electric vehicles. In order to solve the above problems, a vehicle network collaborative hardware in the loop simulation platform is built based on multi time scales. The platform uses the power grid real-time simulator to realize the power grid real-time simulation. The real-time database is used as a bridge to connect the upper energy management system, the lower simulation model and hardware equipment. The simulation results are visually displayed based on the real-time database visualization interface. Based on the platform, the typical scenarios such as V2G (electric vehicle to power grid), V2B (electric vehicle to intelligent building), V2H (electric vehicle to home) are simulated and verified. The simulation results can provide support for vehicle network collaborative optimization scheduling.
Keywords: multi-time scale;database;energy management;V2B;simulation platform
2022, 48(8):101-108  收稿日期: 2021-06-28;收到修改稿日期: 2021-08-10
基金项目: 国家自然科学基金（52077078）
作者简介: 杨凯（1995-），男，山西运城市人，硕士研究生，专业方向为智能控制
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