LIU Lin, ZHANG Wen-qi. Research on the Evaluation of Green Technology Innovation Capability of Pumped-Storage Power Station Based on Combinatorial Weighting-Cloud Model[J]. JOURNAL OF NORTH CHINA ELECTRIC POWER UNIVERSITY(SOCIAL SCIENCES), 2023, 4(4): 40-51. DOI: 10.14092/j.cnki.cn11-3956/c.2023.04.005
Citation: LIU Lin, ZHANG Wen-qi. Research on the Evaluation of Green Technology Innovation Capability of Pumped-Storage Power Station Based on Combinatorial Weighting-Cloud Model[J]. JOURNAL OF NORTH CHINA ELECTRIC POWER UNIVERSITY(SOCIAL SCIENCES), 2023, 4(4): 40-51. DOI: 10.14092/j.cnki.cn11-3956/c.2023.04.005

Research on the Evaluation of Green Technology Innovation Capability of Pumped-Storage Power Station Based on Combinatorial Weighting-Cloud Model

  • As the most economical and efficient way of super-large capacity energy storage, pumped storage is the most valuable power regulation system for large-scale development to promote the energy green low-carbon transition and achieve the “Double-carbon” goal. The technical innovation and green development ability of pumped-storage power station are the key to promote the sustainable development of pumped-storage power station. From the perspective of input and output capability, the multi-level evaluation system of technical innovation and green development capability of pumped storage is established. Based on analytic hierarchy process and entropy weight method, the index weight is determined by combination weighting. In view of the fuzziness and randomness in the evaluation process, an evaluation model of pumped-storage power station green technology innovation capability is proposed based on the cloud model. The validity and applicability of the evaluation model are verified by the actual data of a pumped-storage power station.
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