Time-varying Characteristic Based Load Forecasting Method for Distribution Network with DGs

被引:1
|
作者
Zhao, Mingxin [1 ]
Li, Yang
Chen, Hai [1 ]
Liu, Wei [1 ]
Zhang, Pan
机构
[1] China Elect Power Res Inst, Beijing, Peoples R China
关键词
Load forecasting; Distributed generation; Monte Carlo simulation; Time-varying Characteristic; Superposition method; PERFORMANCE;
D O I
10.4028/www.scientific.net/AMM.448-453.2434
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
Middle-term and long-term load forecasting is important for planning of distribution network. With DG (distributed generation) integrated into network, the net load demand of HV/MV transformers become more complicated, load forecasting encounters greater challenge than ever. Uncertainty of wind and solar power has greatly influenced the load characteristics. A new load forecasting method for distribution network with DGs is proposed in this paper, which concerns time-varying characteristic of DG output power. Firstly, we get the conventional spatial load forecasting results. Then, using Monte Carlo simulation, we get the time-varying characteristic of DG. Lastly, superposing time-varying characteristics of conventional load and DGs, we can get the net-load forecasting result for distribution network.
引用
收藏
页码:2434 / 2438
页数:5
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