Research on Multi Energy Data Transaction Model Based on Vector Evaluate Genetic Algorithm
- DOI
- 10.2991/ism3e-15.2015.134How to use a DOI?
- Abstract
With the development of smart grid construction and the innovation of the business mode of State Grid, power systems business including generation, transmission, transformation, distribution, consumption and dispatching, produces a large amount of data every day. At the same time, power system is also one of the important application areas of big data. Based on the smart grid construction of Sino-Singapore Tianjin Eco-city, the model of big data transaction between power system and other industries is researched. First, the sources and characteristics of muti energy data in Sino-Singapore Tianjin Eco-city are analysed. Furthermore, this paper proposes a big data transaction model turned into multi attribute negotiation, and the utility function of multi attribute negotiation is proposed to reflect the correlation degree between different attributes. Finally, a multi objective optimization algorithm based on vector evaluated genetic algorithm for big data transaction of smart grid is given, so as to realize a win-win situation between buyers and sellers.
- 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 - Zheng Wang AU - Ling Jiang AU - Yongbiao Yang AU - Tianchun Xiang AU - Jie Song AU - Shengjun Yan PY - 2015/11 DA - 2015/11 TI - Research on Multi Energy Data Transaction Model Based on Vector Evaluate Genetic Algorithm BT - Proceedings of the 2015 International Symposium on Material, Energy and Environment Engineering PB - Atlantis Press SP - 559 EP - 562 SN - 2352-5401 UR - https://doi.org/10.2991/ism3e-15.2015.134 DO - 10.2991/ism3e-15.2015.134 ID - Wang2015/11 ER -