Research on Transmission Network Planning Model based on LCC Theory and Improved AFSA

DOI

10.2991/ssemse-15.2015.601How to use a DOI?

Keywords

Artificial Fish Swarm Algorithm (AFSA); network planning; life cycle cost; objective optimization

Abstract

The cost of power project can be controlled in the preliminary design stage, which means reducing life-cycle costs of electric power project in network planning stage. According to life-cycle cost theory, the costs of network project were analyzed and the full life-cycle cost model was established. Based on the improved Artificial Fish Swarm Algorithm, the problem was solved and the lowest life cycle cost of the grid plan was found. This paper not only verified the applicability of full life-cycle costs theory in network planning, but also contributed to reduce the full life-cycle costs of power project and improve the economics of grid construction.

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  - Fuyu Hua
AU  - Jinhua Huang
AU  - Dongxiao Niu
AU  - Yali Huang
PY  - 2015/11
DA  - 2015/11
TI  - Research on Transmission Network Planning Model based on LCC Theory and Improved AFSA
BT  - Proceedings of the 2015 International Conference on Social Science, Education Management and Sports Education
PB  - Atlantis Press
SP  - 2363
EP  - 2366
SN  - 2352-5398
UR  - https://doi.org/10.2991/ssemse-15.2015.601
DO  - 10.2991/ssemse-15.2015.601
ID  - Hua2015/11
ER  -