Journal of Shandong University(Engineering Science) ›› 2022, Vol. 52 ›› Issue (5): 70-76.doi: 10.6040/j.issn.1672-3961.0.2022.174

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Intelligent method based on convolutional neural network and analytic hierarchy process to predict frequency regulation ability of renewable energy power

WANG Zhiwei1, XU Haichao1*, GUO Xiangyang1, MA Jiong2, CHU Yunlong1, CHEN Qianchang1, LU Zhi3   

  1. 1. Northwest Branch, State Grid Corporation of China, Xi'an 710048, Shaanxi, China;
    2. Nanjing Branch, China Electric Power Research Institute Co., Ltd., Nanjing 210003, Jiangsu, China;
    3. Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education(Shandong University), Jinan 250061, Shandong, China
  • Published:2022-10-20

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  • TM615
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