Research on Transmission Network Planning Model based on LCC Theory and Improved AFSA
Fuyu Hua, Jinhua Huang, Dongxiao Niu, Yali Huang · 2015
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. KEYWORD: Artificial Fish Swarm Algorithm (AFSA); network planning; life cycle cost; objective optimization