Using OCPP for Data Collection in BC Hydro Time-of-Use Measurement Trial for Residential EV Charging

Michael Zhang, H. Atighechi, Mehran Zamani, A. Das
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引用次数: 1

Abstract

Rapid adoption of electric vehicles has introduced new challenges to power utilities by increasing demand on distribution systems. To avoid costly system reinforcements, power utilities can reduce adverse grid impacts and excessive costs for the customers using time-of-use pricing or smart charging programs. Proper infrastructure and data acquisition methodology are the necessities of such program. The data acquisition methodology should be accurate, secure, and economically viable. Different methodologies have been introduced and utilized during the past few years that may not be economically viable or may not provide acceptable accuracy and security levels. In this paper, OCPP has been used to transfer measured data from onboard meters of OCPP-enabled AC Level 2 chargers used in a BC Hydro TOU measurement trial for residential EV charging. The accuracy of the collected data from different chargers has been verified against a utility-grade smart meter. It is shown that the measured data is within a reasonable accuracy range, and it is transferred and stored securely without loss of accuracy. Finally, the collected EV load data is assessed over a period of 24 hours to demonstrate the impact of TOU on the total household load and the importance of proper scheduling.
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在卑诗省住宅电动汽车充电水电使用时间测量试验中使用OCPP进行数据采集
电动汽车的迅速普及增加了对配电系统的需求,给电力公司带来了新的挑战。为了避免昂贵的系统加固,电力公司可以使用分时定价或智能充电计划来减少对电网的不利影响和客户的过高成本。适当的基础设施和数据采集方法是这种计划的必要条件。数据采集方法应准确、安全、经济可行。在过去几年中,已经引入和使用了不同的方法,这些方法可能在经济上不可行,或者可能无法提供可接受的准确性和安全性水平。在本文中,在卑诗省水电分时电价住宅电动汽车充电测量试验中,使用了OCPP来传输基于OCPP的交流2级充电器车载仪表的测量数据。从不同充电器收集的数据的准确性已通过公用事业级智能电表进行验证。结果表明,测量数据在合理的精度范围内,传输和存储安全,不损失精度。最后,收集的电动汽车负荷数据在24小时内进行评估,以证明分时电价对家庭总负荷的影响以及适当调度的重要性。
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