Proceedings of the 2016 5th International Conference on Advanced Materials and Computer Science

The observability analysis of distribution network with distributed generation

Authors
Zhu Xu
Corresponding Author
Zhu Xu
Available Online June 2016.
DOI
10.2991/icamcs-16.2016.108How to use a DOI?
Keywords
Distribution network, observability analysis, distributed generation, meter placement
Abstract

To meet the demand of distribution network state estimation containing various distributed generations (DGs), an observability analysis model is proposed. In the model, distribution network nodes are divided into two types, nodes connected with DGs and nodes not connected with DGs to calculate their power. Solving measurement equation, typical load patterns can be obtained, which determine the observability of a network; Meter placement is optimized as the graph partitioning algorithm is used in the weighted distribution network with DGs. Simulations with Modified IEEE 13-bus system and IEEE 33-bus system added DGs are carried out to illustrate the presented method is economical and feasible.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 5th International Conference on Advanced Materials and Computer Science
Series
Advances in Engineering Research
Publication Date
June 2016
ISBN
10.2991/icamcs-16.2016.108
ISSN
2352-5401
DOI
10.2991/icamcs-16.2016.108How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Zhu Xu
PY  - 2016/06
DA  - 2016/06
TI  - The observability analysis of distribution network with distributed generation
BT  - Proceedings of the 2016 5th International Conference on Advanced Materials and Computer Science
PB  - Atlantis Press
SP  - 523
EP  - 527
SN  - 2352-5401
UR  - https://doi.org/10.2991/icamcs-16.2016.108
DO  - 10.2991/icamcs-16.2016.108
ID  - Xu2016/06
ER  -