
基本信息:
- 专利标题: 一种基于两阶段还原的地区网供负荷精细化预测方法
- 专利标题(英):A regional network supply load fine prediction method based on two-stage reduction
- 申请号:CN201910161669.1 申请日:2019-03-04
- 公开(公告)号:CN109934396A 公开(公告)日:2019-06-25
- 发明人: 李丹 , 杨保华 , 张远航 , 谢晨晟 , 王奎 , 贺彩 , 云洋 , 李紫瑶 , 邓思影
- 申请人: 三峡大学
- 申请人地址: 湖北省宜昌市西陵区大学路8号
- 专利权人: 三峡大学
- 当前专利权人: 三峡大学
- 当前专利权人地址: 湖北省宜昌市西陵区大学路8号
- 代理机构: 宜昌市三峡专利事务所
- 代理人: 余山
- 主分类号: G06Q10/04
- IPC分类号: G06Q10/04 ; G06Q10/06 ; G06Q50/06
A regional power grid supply load fine prediction method based on two-stage reduction comprises the following steps that 1, historical data of regional power consumption loads, small hydro-thermal power, new energy power generation and regional mutual supply power and historical and prediction data of time-sharing zoning meteorology are collected; Step 2, decomposing the grid supply load into a combination of a regional power consumption load, small hydro-thermal power, new energy power generation and regional mutual supply power by adopting a two-stage reduction method; Step 3, introducing time-sharing partition meteorological information according to characteristics and influence factors of different types of loads, constructing different prediction models, and obtaining a prediction result of each type of load curve based on each type of load prediction model and a refined meteorological prediction value of a prediction day; And step 4, combining the load prediction curves of various types, and restoring to obtain a network supply load prediction curve of the prediction day.