Distributed PV carrying capacity prediction and assessment for differentiated scenarios based on CNN-GRU deep learning
Liudong Zhang,
Zhen Lei,
Zhigang Ye
et al.
Abstract:The increasing penetration of distributed photovoltaic (PV) brings challenges to the safe and reliable operation of distribution networks, distributed PV access to the grid changes the characteristics of the traditional distribution grid. Therefore, the assessment of distributed PV carrying capacity is of great significance for distribution network planning. To this end, a differentiated scenario-based distributed PV carrying capacity assessment method based on a combination of Convolutional Neural Networks (C… Show more
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