Short-Term Net Feeder Load Forecasting of Microgrid Considering Weather Conditions

被引：0
|
作者：
Liu Jin [1 ]
Dong Cong [1 ]
Liu Guangyi [2 ]
Yu Jilai [1 ]
机构：
[1] Harbin Inst Technol, Dept Elect Engn, Harbin 150006, Peoples R China
[2] China Elect Power Res Inst, Beijing, Peoples R China
来源：
2014 IEEE INTERNATIONAL ENERGY CONFERENCE (ENERGYCON 2014) | 2014年
基金：
国家高技术研究发展计划(863计划);
关键词：
Microgrid; Net load forecast; Back-propagation network; Levenberg-Marquardt algorithm;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
In this paper, an approach of feeder net load forecasting is proposed for mirogrid operation. Firstly, the output of intermittent renewable energy sources are took into account as a negative load and give the net feeder load definition. Then the feeder load patterns are established according to weather conditions and different solar terms that may reflect the change of season. The forecasting model of back-propagation network is developed with improved Levenberg-Maruardt (LM) training algorithm. The optimized solution of the developed model can accurately forecast the minutely net feeder loads. The validity of the proposed approach for a simplified microgrid is shown by the simulation results.
引用
收藏
页码：1205 / 1209
页数：5
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