摘要
由于我国独特的新能源分布特性,新能源丰富地区与高负荷地区相关性低。电网企业通过加大高压输变电工程建设,将新能源产生的清洁电力向高负荷地区输送,可以有效缓解供需矛盾。因此,电网企业为保证以新能源为主体的新型电力系统的可靠运行,提高输变电设备的缺陷预警水平,对输变电的数字化转型需求迫切。为此首先介绍新能源为主体的新型电力系统和输变电数字化转型特点及发展方向;然后以变电站(换流站)、架空输电线路、电缆隧道、气体绝缘金属封闭输电线路(gas-insulated transmission line,GIL)管廊等场景进行数字化具体分析;最后,探讨现阶段影响输变电数字化转型的关键技术,即芯片化多物理量融合集成的精准感知技术、多源时空数据耦合的缺陷智能识别技术和高保真动态多维数字孪生的状态异常预警技术,并对未来输变电数字化转型进行了展望。
Due to the unique distribution characteristics of new energy in China,there is a low correlation between new-energy-rich areas and high load areas.Power grid enterprises can effectively alleviate the contradiction between supply and demand by increasing the construction of high-voltage power transmission and transformation projects and transmitting clean power generated by new energy to high load areas.Therefore,in order to ensure the reliable operation of the new power system with new energy as the main body and to improve the defect early-warning level of power transmission and transformation equipment,power grid enterprises urgently need the digitalization transformation of power transmission and transformation.Firstly,in this paper,the characteristics and development direction of the new power system with new energy as the main body and the digitalization transformation of power transmission and transformation are introduced.Then,the substation(converter station),overhead transmission line,cable tunnel,and gas-insulated transmission line(GIL)gallery,etc,are taken as examples to perform the digitalization analysis.Finally,the key technologies affecting the digitalization transformation of power transmission and transformation at this stage are discussed,namely,applying the accurate sensing technology of chip multi-physical quantity integration,the defect intelligent identification technology of multi-source spatio-temporal data coupling,and the state anomaly early-warning technology of high fidelity dynamic multi-dimensional digital twin.Moreover,the future prospects in digitalization transformation of power transmission and transformation are put forward.
作者
江秀臣
许永鹏
李曜丞
狄凌芳
刘亚东
盛戈皞
JIANG Xiuchen;XU Yongpeng;LI Yaocheng;DI Lingfang;LIU Yadong;SHENG Gehao(School of Electronic Information and Electrical Engineering,Shanghai Jiao Tong University,Shanghai 200240,China)
出处
《高电压技术》
EI
CAS
CSCD
北大核心
2022年第1期1-10,共10页
High Voltage Engineering
基金
国家重点研发计划(2019YFE0102900)。
关键词
新型电力系统
输变电
数字化转型
数字孪生
异常预警
new power system
power transmission and transformation
digital transformation
digital twins
anomaly warning