Multi-layer Partition Method Combined with Multi-target Genetic Optimization for Urban Power Grid Structure Planning

DOI

10.2991/icitmi-15.2015.62How to use a DOI?

Keywords

power grid planning, partition method, the multi-target genetic optimization method, grid structure

Abstract

The planning and designing of the power grid structure is most important in the planning and construction of power grid. With the development of urbanization and widespread insertion of distributed generations, the traditional planning method for urban power grid structure is facing new challenges and uncertainties. A multi-layer partition method combined with the multi-target genetic optimization is proposed in this paper. First, the definition and the mathematic model of the proposed method are introduced. Second, its specific implementation scheme and technological process are presented in detail. Finally, a numerical example is given to testify its feasibility. This method considers the power supply ability as its objective function, so it can ensure its optimization result have higher power supply reliability than other traditional planning method.

Copyright

© 2015, 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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TY  - CONF
AU  - Z.Q. Yao
AU  - C.W. Zhao
AU  - Y.C. Zong
AU  - F.J. Chi
AU  - J. Zhang
AU  - L.Y. Liu
PY  - 2015/10
DA  - 2015/10
TI  - Multi-layer Partition Method Combined with Multi-target Genetic Optimization for Urban Power Grid Structure Planning
BT  - Proceedings of the 4th International Conference on Information Technology and Management Innovation
PB  - Atlantis Press
SP  - 392
EP  - 399
SN  - 2352-538X
UR  - https://doi.org/10.2991/icitmi-15.2015.62
DO  - 10.2991/icitmi-15.2015.62
ID  - Yao2015/10
ER  -