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电力系统关键技术发展论刍议
引用本文:高志远,曹阳,徐昊亮,余泳.电力系统关键技术发展论刍议[J].电力系统保护与控制,2017,45(17):14-17.
作者姓名:高志远  曹阳  徐昊亮  余泳
作者单位:中国电力科学研究院,江苏 南京 210003,中国电力科学研究院,江苏 南京 210003,国网甘肃省电力公司经济技术研究院,甘肃 兰州 730050,国网甘肃省电力公司经济技术研究院,甘肃 兰州 730050
基金项目:国家电网公司科技项目(JS71-16-007)“全球能源互联网标准体系研究”
摘    要:在智能电网和能源互联网的建设和发展中,需要科学地选择不同时段的关键技术予以优先发展。利用理想电力系统的概念,基于对电力系统发展状态的评析,提出了一种系统化的电力系统关键技术发展价值分析方法,并利用所提方法对当前电力系统关键技术的发展作了简要分析。指出关键技术的优先发展不仅需要考虑技术本身对提高电力系统理想化程度的贡献,还需要综合考虑技术相互之间的促进作用和经济投入情况。当前,大数据、储能、新材料和云计算等是值得优先发展的技术方向。

关 键 词:智能电网  能源互联网  关键技术  优化规划  可再生能源  大数据
收稿时间:2016/8/15 0:00:00
修稿时间:2016/9/19 0:00:00

Primary discussion on the key technologies development of power system
GAO Zhiyuan,CAO Yang,XU Haoliang and YU Yong.Primary discussion on the key technologies development of power system[J].Power System Protection and Control,2017,45(17):14-17.
Authors:GAO Zhiyuan  CAO Yang  XU Haoliang and YU Yong
Affiliation:China Electric Power Research Institute, Nanjing 210003, China,China Electric Power Research Institute, Nanjing 210003, China,Gansu Electric Power Company Economic Research Institute, Lanzhou 730050, China and Gansu Electric Power Company Economic Research Institute, Lanzhou 730050, China
Abstract:In the construction and development of smart grid and energy internet, some key technologies should be given priorities to develop in different periods of time. Based on the concept of ideal power system and the development status of current power system, a systematic approach to analyze the development of key technologies of power system is put forward, and the development of the key technologies of the current power system is analyzed by using the proposed method. It is pointed out that the development priority of a technology not only depends on its contribution to improve the ideal degree of the power system, but also depends on the interaction between technologies and the economic benefits. At present, some technologies, such as big data, energy storage, new materials and cloud computing, should be given priorities to development.
Keywords:smart grid  energy internet  key technologies  optimal planning  renewable energy  big data
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