The Improved Genetic Algorithm for Distribution Network Life Cycle Costs Planning

DOI

10.2991/icmmita-15.2015.290How to use a DOI?

Keywords

Life cycle costs; distribution network planning; clustering crowding niche genetic algorithm; radial distribution network.

Abstract

The life cycle economy of the power distribution network planning scheme is becoming more and more important in power markets. The model of the distribution network planning and the configuration of switches based on the life cycle cost (LCC) of equipment was presented. The main objective is to minimize the total life cycle costs which including the initial investment, operation and maintenance cost, outage cost and disposal cost of planning scheme. The clustering crowding niche genetic algorithm is used to get the optimum planning scheme. Finally, the feasibility and effectiveness of the method are verified by the result of applying it to a test system.

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  - Pei Hao
AU  - Jingang Shi
AU  - Chenrui Li
PY  - 2015/11
DA  - 2015/11
TI  - The Improved Genetic Algorithm for Distribution Network Life Cycle Costs Planning
BT  - Proceedings of the 2015 3rd International Conference on Machinery, Materials and Information Technology Applications
PB  - Atlantis Press
SP  - 1568
EP  - 1573
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmita-15.2015.290
DO  - 10.2991/icmmita-15.2015.290
ID  - Hao2015/11
ER  -