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/).
Cite this article
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 -