摘要
针对湖南电网风力发电能力监测技术现状和存在的问题,提出基于异常数据识别的风力发电能力监测算法和系统架构,通过历史数据验证算法可行性,起到实时监测风电场发电能力、自动检测识别风电场异常数据的作用。基于监测系统,提出配套管理建议,科学指导湖南电网风电管理,有助于提高风电电源支撑能力、推动风电抗冰技术发展。
In view of the current situation and existing problems of wind power capacity monitoring technology in Hunan power grid,a wind power capacity monitoring algorithm and system architecture based on abnormal data identification are proposed.The feasibility of the algorithm is verified by historical data,which realizes real-time monitoring of wind power plant capacity and automatic detection and identification of wind power plant abnormal data.Based on the monitoring system,the supporting management suggestions are put forward to scientifically guide the improvement of the wind power management level of Hunan power grid,which can improve the wind power supply support ability and promote the development of wind power anti-ice technology.
作者
陈浩奇
吴宇翔
樊嘉宏
钱军
陈斌
朱蜀
张劲帆
CHEN Haoqi;WU Yuxiang;FAN Jiahong;QIAN Jun;CHEN Bin;ZHU Shu;ZHANG Jinfan(State Grid Hunan Electric Power Company Limited,Changsha 410004,China)
出处
《湖南电力》
2023年第2期97-101,共5页
Hunan Electric Power
基金
国网湖南省电力有限公司科技项目(5216A022003H)。
关键词
风力发电
防冻融冰
异常数据识别
wind power generation
preventing freezing and melting ice
abnormal data identification
