.png){kind=icon}
返回
Two-stage distributed generation optimal sizing with clustering-based node selection
.png){kind=icon}
PRE
AI
DOI：10.1016/j.ijepes.2012.02.012.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Nowadays, distributed generation (DG) is playing a significant role in the electrical energy systems. The diffusion of DG in the electrical networks could be beneficial to improve network operation, but excessive amounts of DG in operation could cause violations of the system constraints. This paper presents a new method to obtain the optimal size of DG sources in electrical distribution systems, taking into account the time-dependent evolution of generation and load. This method adopts a procedure composed of two nested calculation stages. The external stage is carried out by selecting a set of candidate nodes through a clustering-based approach based on normalised loss sensitivity factors and normalised node voltages. The internal stage is an exhaustive search driven by the calculation of an objective function with energy losses and voltage profile components, aimed at finding upgraded DG sizes using exhaustive search on a set of available sizes at the candidate nodes. The resulting method avoids the combinatorial explosion of the solutions to be analysed and determines pseudo-optimal DG sizing without violation of any of the system constraints under any operating condition. The proposed method is tested on a 20 kV rural distribution network, showing its effectiveness in obtaining the pseudo-optimal solution with a relatively low computational burden. (C) 2012 Elsevier Ltd. All rights reserved.
Keyword:
Distributed generation
Clustering
Optimal sizing
Energy losses
Voltage profile
期刊
I
IF:
5
论文数:
1.1W
被引数:
3.1W
机构
引用论文
DG allocation with application of dynamic programming for loss reduction and reliability improvement应用动态规划进行DG分配，以降低损耗和提高可靠性
.png){kind=icon}
PREAI
分享收藏分享收藏分享收藏
查看更多内容