Challenges of Vehicle-Grid Integration as Modern Distributed Energy Implementation

Ching-Yen Chung, Yingqi Xiong, E. Kim, Charlie Qiu, C. Chu, R. Gadh
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引用次数: 1

Abstract

Unpredictable and unmanaged Electric Vehicle (EV) charging together with intermittent solar generation remains a challenge in modern distributed energy implementation. Without the technology for harnessing EV charging to the benefit of the grid, there will be no market for grid services and little impact for aggregators. This paper provides systematic approaches for Vehicle-Grid Integrated microgrid planning. Several tools from governments and commercial simulation packages including Interruption Cost Estimate (ICE) Calculator, PVWatts, Storage Value Estimation Tool (StorageVETTM), Electrical Transient Analyzer Program (ETAP), and Real Time Digital Simulator (RTDS), are used to verify the design requirements and simulate the electric load changes using smart charging and Vehicle-to-Grid (V2G). The simulation results showed that load shaping by smart charging and V2G fattened undesirable ramps and halved the system’s peak load, which can be translated to significant cost savings for the grid operator.
车网一体化作为现代分布式能源实现的挑战
不可预测和无管理的电动汽车充电与间歇性太阳能发电是现代分布式能源实施中的一个挑战。如果没有利用电动汽车充电来造福电网的技术,就不会有电网服务的市场,也不会对集成商产生什么影响。本文为车网一体化微网规划提供了系统的方法。来自政府和商业仿真软件包的几个工具,包括中断成本估算(ICE)计算器,PVWatts,存储值估算工具(StorageVETTM),电瞬态分析仪程序(ETAP)和实时数字模拟器(RTDS),用于验证设计要求并模拟使用智能充电和车辆到电网(V2G)的电力负荷变化。仿真结果表明,通过智能充电和V2G进行负载整形可以消除不受欢迎的斜坡,并将系统的峰值负载减半,这可以为电网运营商节省大量成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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