Power distribution system normalization risk analysis method and system based on Latin hypercube random sampling

The invention belongs to the technical field of power grid operation and control, and particularly relates to a power distribution system normalization risk analysis method based on Latin hypercube random sampling, which comprises the following steps: establishing a distributed photovoltaic power su...

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Hauptverfasser: ZHANG ZIXIN, ZHANG MINGLI, LIANG YI, ZHU HEYAN, SHAN JINHANG, ZHANG ZEYU, WANG QIXIANG, JIN YUFEI, CHENG MENGZENG, WANG HUAN, HAN LIU, FENG TENG, LI HUA, SHAO BAOZHU, HAN ZHENTAO, WANG YONG, HUANG XIAOYI, YANG WENYU, LIU WENXUAN, YE PENG, WANG HERONG, YANG BO, SONG ZHUORAN, GUO SHAOTAO, YIN JINGJIAO, YANG GUOCHEN
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The invention belongs to the technical field of power grid operation and control, and particularly relates to a power distribution system normalization risk analysis method based on Latin hypercube random sampling, which comprises the following steps: establishing a distributed photovoltaic power supply output model, and determining random variables in the distributed photovoltaic power supply output model as illumination intensity and battery temperature; based on the distributed photovoltaic power supply output model, adopting a Latin hypercube random sampling method to carry out probability distribution sampling on temperature and illumination intensity parameters influencing the distributed photovoltaic power supply in different scenes, and generating a sample of the output power of the photovoltaic power station; the samples are accessed to a power distribution system to calculate probabilistic load flow distribution of the system; and analyzing the probabilistic power flow of the power distribution syst