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Investigation of the potential for electric vehicles to support the domestic peak load

机译:调查电动汽车支持国内峰值负荷的潜力

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Electric vehicles (EVs) have been widely deployed in recent years due to their environmental benefits. With maturing battery technology, EVs could act as mobile power sources and hence improve power quality through controlled bidirectional interaction with the power system. This paper explores the possibility of using privately owned EVs to support the grid during the time of weekday domestic peak load based on a proposed charging and discharging rule. In particular, the impact of workplace charging on the potential of grid support capability is investigated for different EVs penetration levels. A time-inhomogeneous Markov Chain Monte Carlo (MCMC) model is employed here to simulate the driving patterns based on the UK 2000 Time Use Survey (TUS) data, where four EV states are considered including `driving', `parking at home', `parking at workplace' and `parking at other places'. According to the proposed rule, the charging and discharging profiles that are generated from the MCMC model are then fed to a single-feeder low voltage (LV) UK distribution network model with 42 households to investigate the impact of the grid supporting function of EVs on key system performance measures.
机译:电动汽车(EV)由于其环保优势,近年来已得到广泛部署。随着电池技术的成熟,电动汽车可以充当移动电源,并通过与电源系统的双向双向交互来改善电源质量。本文根据建议的充电和放电规则,探索了在工作日国内高峰时段使用私有电动汽车为电网提供支持的可能性。尤其是,针对不同的电动汽车渗透水平,研究了工作场所充电对电网支持能力潜力的影响。本文采用时间不均一的马尔可夫链蒙特卡洛(MCMC)模型,基于UK 2000时间使用情况调查(TUS)数据来模拟驾驶模式,其中考虑了四个EV状态,包括“驾驶”,“在家停车”, “在工作场所停车”和“在其他地方停车”。根据建议的规则,将从MCMC模型生成的充电和放电曲线馈送到具有42户家庭的单馈线低压(LV)UK配电网络模型中,以研究电动汽车的电网支持功能对电动汽车的影响。关键系统性能指标。

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