Research on Multi Energy Data Transaction Model Based on Vector Evaluate Genetic Algorithm
Zheng Wang, Ling Li Jiang, Yongbiao Yang, Tianchun Xiang, Jie Song, Shengjun Yan · 2015
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.