Power system operation risk analysis considering charging load self-management of plug-in hybrid electric vehicles
Power system operation risk analysis considering charging load self-management of plug-in hybrid electric vehicles
复制标题
考虑插电式混合动力汽车充电负荷自我管理的电力系统运行风险分析
DOI：
10.1016/j.apenergy.2014.09.069
复制
发表时间：
2014-12
期刊：
影响因子：
11.2
通讯作者：
Ned Djilali
中科院分区：
文献类型：
--
作者：
Liu Zhe;Wang Dan;Jia Hongjie;Ned Djilali
世界各地的许多司法管辖区正在通过激励措施和部署充电基础设施来支持电动汽车的采用，以减少温室气体排放。插电式混合动力汽车（phev）技术成熟，性能稳定，有望在消费市场上获得越来越大的份额。插电式混合动力汽车大规模渗透对电网的聚合效应需要分析。插电式混合动力汽车的典型特征是夜间充电，这有助于填补夜间负荷谷，但大型插电式混合动力汽车在夜间随机充电可能会导致新的负荷高峰和低谷。主动响应策略是缓解插电式混合动力汽车集成带来的额外风险的潜在有效解决方案。本文提出了一种电力系统运行风险分析框架，利用充电负荷自我管理来控制系统运行风险。我们描述了系统与插电式混合动力汽车的交互机制，并结合智能充电模型来模拟插电式混合动力汽车的时间序列功耗。通过调整状态转移边界来管理充电负荷，同时不违反用户期望的充电约束。通过控制充电功率来确定停电后电压或潮流违规引起的负荷削减。同时，通过充电负荷自我管理，将系统风险维持在可接受的水平。采用罗伊比林顿测试系统（RBTS）实现了该方法，并测试了几种插电式混合动力汽车的穿透水平。结果表明，充电负荷自我管理能有效平衡插电式混合动力汽车在充电时段整合带来的额外风险。
Many jurisdictions around the world are supporting the adoption of electric vehicles through incentives and the deployment of a charging infrastructure to reduce greenhouse gas emissions. Plug-in hybrid electric vehicles (PHEVs), with offer mature technology and stable performance, are expected to gain an increasingly larger share of the consumer market. The aggregated effect on power grid due to large-scale penetration of PHEVs needs to be analyzed. Nighttime-charging which typically characterizes PHEVs is helpful in filling the nocturnal load valley, but random charging of large PHEV fleets at night may result in new load peaks and valleys. Active response strategy is a potentially effective solution to mitigate the additional risks brought by the integration of PHEVs. This paper proposes a power system operation risk analysis framework in which charging load self-management is used to control system operation risk. We describe an interactive mechanism between the system and PHEVs in conjunction with a smart charging model is to simulate the time series power consumption of PHEVs. The charging load is managed with adjusting the state transition boundaries and without violating the users’ desired charging constraints. The load curtailment caused by voltage or power flow violation after outages is determined by controlling charging power. At the same time, the system risk is maintained under an acceptable level through charging load self-management. The proposed method is implemented using the Roy Billinton Test System (RBTS) and several PHEV penetration levels are examined. The results show that charging load self-management can effectively balance the extra risk introduced by integration of PHEVs during the charging horizon.
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DOI：
10.1109/pvsc.2011.6186305
发表时间：
2011-06
期刊：
2011 37th IEEE Photovoltaic Specialists Conference
影响因子：
--
作者：
R. Karki;Ahmad Alferidi;R. Billinton
通讯作者：
R. Karki;Ahmad Alferidi;R. Billinton
DOI：
10.1109/icps.2008.4606290
发表时间：
2008-05
期刊：
2008 IEEE/IAS Industrial and Commercial Power Systems Technical Conference
影响因子：
--
作者：
X. Liu;S. Islam;A. Chowdhury;D. Koval
通讯作者：
X. Liu;S. Islam;A. Chowdhury;D. Koval
影响因子：
9.6
作者：
Deilami, Sara;Masoum, Amir S.;Masoum, Mohammad A. S.
通讯作者：
Masoum, Mohammad A. S.
DOI：
10.1109/tpas.1979.319398
发表时间：
1979-01-01
期刊：
IEEE TRANSACTIONS ON POWER APPARATUS AND SYSTEMS
影响因子：
--
作者：
通讯作者：
--
影响因子：
6.6
作者：
M. Fotuhi‐Firuzabad;R. Billinton
通讯作者：
M. Fotuhi‐Firuzabad;R. Billinton