Open AccessResearch on maximum allowable capacity of distributed generation in distributed network under global energy internet considering static voltage stability
Author(s) -
Hu Lijuan,
Liu KeYan,
Sheng Wanxing,
Diao Yinglong,
Jia Dongli
Publication year - 2017
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2017.0736
Subject(s) - distributed generation , distributed power , randomness , voltage , computer science , stability (learning theory) , renewable energy , electrical engineering , engineering , mathematics , statistics , machine learning
Due to the characteristics of distribution energy such as randomness, volatility and dispersion, the future distribution network will become an intelligent bidirectional power flow distribution system. In addition, the high penetration of distributed generation (DG) will affect the power quality and voltage stability of distribution network. Focused on the impact of distributed energy insert on static voltage stability of distribution network, the maximum allowable capacity of distribution generation for distribution network considering static voltage stability has been been analysed. Firstly, the structure of the future distribution network is analysed, and the calculation model of power flow is established. Then, based on the continuation power flow method, the penetration of distributed energy when the distribution network is in the critical state of the static voltage stability is evaluated. Moreover, the result is used as one indicator of the maximum allowable capacity of DG in distributed network. Finally, the proposed method is illustrated with a typical system. The simulation results show that, with the reasonable configuration of the distribution network, the allowable capacity of DG in distribution network can be improved and energy resources can be optimally dispatched and shared over a wide area.