含电动汽车和分布式电源的配电网的可靠性评估

风电以及光伏等分布式电源大规模接入配网,改变了配网的网络结构和潮流走向,增加了配网潮流的不确定性。并且电动汽车的充电负荷在时间上和空间上存在随机性,与配网日常负荷叠加,改变了原有的供求关系,传统的可靠性评估方法不再适用。基于燃油车统计数据,考虑电动汽车的开始充电时刻以及行驶里程等随机因素,建立电动汽车充电需求模型,并采用序贯蒙特卡罗方法实现含分布式电源和电动汽车的配网可靠性评估。基于IEEE-RB TS Bus6测试系统主馈线F4,从电动汽车的电池类型、接入位置和汽车数量三方面分别对系统的可靠性指标进行量化分析。...

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Bibliographic Details
Published in电力系统保护与控制 Vol. 45; no. 24; pp. 77 - 83
Main Author 殷自力;郑佩祥;陈宇星;黄文英
Format Journal Article
LanguageChinese
Published 国网福建省电力有限公司,福建福州,350003 16.12.2017
Subjects
充电负荷
分布式电源
可靠性评估
电动汽车
配电网
reliability assessment
可靠性评估
充电负荷
distributed generation
分布式电源
electric vehicle
电动汽车
distribution network
charging load
配电网
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ISSN1674-3415
DOI10.7667/PSPC162062

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Summary:风电以及光伏等分布式电源大规模接入配网,改变了配网的网络结构和潮流走向,增加了配网潮流的不确定性。并且电动汽车的充电负荷在时间上和空间上存在随机性,与配网日常负荷叠加,改变了原有的供求关系,传统的可靠性评估方法不再适用。基于燃油车统计数据,考虑电动汽车的开始充电时刻以及行驶里程等随机因素,建立电动汽车充电需求模型,并采用序贯蒙特卡罗方法实现含分布式电源和电动汽车的配网可靠性评估。基于IEEE-RB TS Bus6测试系统主馈线F4,从电动汽车的电池类型、接入位置和汽车数量三方面分别对系统的可靠性指标进行量化分析。
Bibliography:YIN Zili, ZHENG Peixiang, CHEN Yuxing, HUANG Wenying （State Grid Fujian Electric Power Co., Ltd., Fuzhou 350003, China）
distributed generation; distribution network; electric vehicle; charging load; reliability assessment
41-1401/TM
The large-scale distributed generation such as wind and photovoltaic integrating into distribution network changes the network structure and flow direction and increases the uncertainty of power flow in distribution network. Meanwhile, the charging load of Electric Vehicles（EV） has randomness in time and space, and the superposition of daily load in distribution network with charging load of EV changes the original supply and demand, so traditional reliability assessment methods are no longer applicable. Based on statistical data of gasoline vehicle, this paper analyzes charging start instant and daily mileage and models the charging load of multi-EV, the sequential Monte Carlo method is applied to evaluate the reliability of distribution system containing distributed generation and
ISSN:1674-3415
DOI:10.7667/PSPC162062