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1.国家电网有限公司信息通信分公司,北京 100761
2.国家电网有限公司,北京 100031
3.国网河南省电力公司电力科学研究院,河南 郑州 450052
4.国网安徽省电力有限公司电力科学研究院,安徽 合肥 230601
5.中国电力科学研究院有限公司,北京 100192
[ "刘雯静(1984- ),女,博士,国家电网有限公司信息通信分公司高级工程师,主要研究方向为电力科技成果培育、人工智能、电力信息通信等。" ]
[ "张素香(1973- ),女,博士,国家电网有限公司信息通信分公司正高级工程师,主要研究方向为智能配用电、信息抽取、物联网技术等。" ]
盛兴(1984- ),男,国家电网有限公司高级工程师,主要研究方向为科技成果培育及管理。
唐钰政(1989- ),男,国网河南省电力公司电力科学研究院高级工程师,主要研究方向为电能质量评估与控制、配用电系统运维等。
孙韬(1993- ),男,国网安徽省电力有限公司电力科学研究院高级工程师,主要研究方向为大型充油电力设备消防灭火技术。
贺冬珊(1994- ),女,中国电力科学研究院有限公司工程师,主要研究方向为特高压直流输电技术。
收稿日期:2024-11-13,
修回日期:2024-12-23,
纸质出版日期:2025-02-20
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刘雯静,张素香,盛兴等.基于文献检索的电力技术成熟度分析方法[J].电信科学,2025,41(02):146-157.
LIU Wenjing,ZHANG Suxiang,SHENG Xing,et al.An analysis method for the maturity of power technology based on literature search[J].Telecommunications Science,2025,41(02):146-157.
刘雯静,张素香,盛兴等.基于文献检索的电力技术成熟度分析方法[J].电信科学,2025,41(02):146-157. DOI: 10.11959/j.issn.1000-0801.2025014.
LIU Wenjing,ZHANG Suxiang,SHENG Xing,et al.An analysis method for the maturity of power technology based on literature search[J].Telecommunications Science,2025,41(02):146-157. DOI: 10.11959/j.issn.1000-0801.2025014.
我国电力行业已经历了一段高速发展时期,随着全球能源结构的转型,我国提出了建设新型电力系统的发展目标,为下一阶段电力技术的发展指明了方向。然而,少有人对我国电力技术的成熟度评价方法进行研究。为此,提出了基于高纳德回环曲线的电力技术成熟度预测方法。首先,将成熟度曲线分解为研究热度和技术发展两个因素;然后,分别对电力科技文献和专利检索数据进行拟合,建立了表征这两个因素发展历程的Logistpk和Slogistic曲线模型,并结合新型电力系统六大领域技术的现状,对模型正确性进行了验证;最后,通过合成研究热度和技术发展曲线,得到电力技术成熟度模型,并对电力技术发展成熟期进行了预测。
China’s power industry has gone through a period of rapid development. With the transformation of the global energy structure
the development goal of building a new type of power system was proposed
which pointed out the direction for the next stage of power technology development. However
few people have conducted research on the maturity evaluation method of China’s power technology. A method for predicting the maturity of power technology based on the Gartner Hype Cycle was proposed. Firstly
the maturity curve was decomposed into two factors: research popularity and technological development. Then
fitting was performed on the literature and patent search data of power technology
Logistpk and Slogistic curve models were established to characterize the development process of the two factors. The correctness of the models was verified by combining the current status of the six major fields of technology in the new power system. Finally
based on the synthesis of research popularity and technology development curves
a maturity model for power technology was obtained
and the maturity period of power technology development was predicted.
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