Proceedings of the 2017 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017)

Maximum Admission Capacity Model of Distribution Generation in Active Distribution Network

Authors
Wenjun Cao
Corresponding Author
Wenjun Cao
Available Online June 2016.
DOI
https://doi.org/10.2991/mecs-17.2017.17How to use a DOI?
Keywords
distributed generation, active distribution network, maximum capacity.
Abstract
The optimal planning of distributed generation which intends to maximize the capacity genetration of distributed generations (DG) is mainly studied in this paper. Firstly, the probabilistic models of wind power generation and photovoltaic power generation are established under the premise of considering the uncertainties of DGs. Secondly, on the basis of this, the DG maximum admission capacity model with the maximum capacity of the DGs as the objective function is established. The model introduces different types of constraints, including voltage level constraint, line power constraint for the traditional distribution network. In addition, in order to adapt to the active management mode, we introduce DG output constraint, OLTC tap constraint, and reactive power compensation constraint.
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Proceedings
2017 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017)
Part of series
Advances in Engineering Research
Publication Date
June 2016
ISBN
978-94-6252-352-4
ISSN
2352-5401
DOI
https://doi.org/10.2991/mecs-17.2017.17How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Wenjun Cao
PY  - 2016/06
DA  - 2016/06
TI  - Maximum Admission Capacity Model of Distribution Generation in Active Distribution Network
BT  - 2017 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017)
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/mecs-17.2017.17
DO  - https://doi.org/10.2991/mecs-17.2017.17
ID  - Cao2016/06
ER  -