引用本文:伍 言,刘俊勇,向 月,刘友波,杨嘉湜,王 卓.考虑光伏DG孤岛续航能力的配电网可靠性评估[J].电力自动化设备,2013,33(5):
WU Yan,LIU Junyong,XIANG Yue,LIU Youbo,YANG Jiashi,WANG Zhuo.Reliability evaluation for distribution system considering supplying ability of photovoltaic DG[J].Electric Power Automation Equipment,2013,33(5):
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考虑光伏DG孤岛续航能力的配电网可靠性评估
伍 言1,2, 刘俊勇1,2, 向 月1,2, 刘友波1,2, 杨嘉湜3, 王 卓3
1.四川大学 电气信息学院,四川 成都 610065;2.四川大学 智能电网四川省重点实验室,四川 成都 610065;3.四川省电力公司,四川 成都 610061
摘要:
通过构造受天气及时间影响的光伏DG功率输出模型,仿真分析了孤岛状态下光伏DG对负荷的支撑能力。根据影响孤岛系统可靠性的因素提出了最优孤岛划分算法。对传统最小路法进行改进,使其适用于含光伏DG的配电网可靠性指标计算。通过算例分析证明了光伏DG能够改善配电网可靠性,其改善程度具有季节性变化,并提出了按季节调整孤岛范围的孤岛优化运行方案,算例结果表明该方案能够最大限度地发挥光伏DG效能,提高配电网可靠性。
关键词:  光伏电源  分布式发电  孤岛  配电网  可靠性  季节性特征
DOI:
分类号:
基金项目:国家自然科学基金资助项目(50977059);中欧中小企业节能减排科研合作资金项目(SQ2011ZOF000004)
Reliability evaluation for distribution system considering supplying ability of photovoltaic DG
WU Yan1,2, LIU Junyong1,2, XIANG Yue1,2, LIU Youbo1,2, YANG Jiashi3, WANG Zhuo3
1.School of Electrical Engineering and Information,Sichuan University,Chengdu 610065,China;2.Sichuan Smart Grid Key Laboratory,Sichuan University,Chengdu 610065,China;3.Sichuan Electric Power Company,Chengdu 610061,China
Abstract:
The power output model of photovoltaic DG affected by weather and time is established and the supporting ability of islanded DG to load is analyzed. An optimal scheme of distribution network islanding is proposed according to the influencing factors of islanded system reliability. The traditional minimal path method is improved for calculating the reliability index of distribution network containing photovoltaic DG. Case analysis verifies that,photovoltaic DG improves the reliability of distribution network and the improvement degree varies with the season. An optimal scheme of island operation is proposed,which adjusts the island range according to the season. Case results verify that,the efficiency of photovoltaic DG is fully utilized and the reliability of distribution network is enhanced.
Key words:  photovoltaic power generation  distributed power generation  island  distribution network  reliability  seasonal characteristic

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