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With the development of smart grid construction work and the innovation of the business model of the China State Grid Corp, power generation, power transmission, power transformation, power distribution, consumption and scheduling, and other business areas generate a large number of data every day. At the same time, power system is one of the important application areas of big data. In this paper, we study the model of large data transaction between power system and other industries based on the background of the Sino-Singapore Tianjin Eco-City smart grid constructions. First, the sources and characteristics of the multi energy sources in the Sino-Singapore Tianjin EcoCity are analyzed. Then, the problem of large data transaction is modeled as a multi attribute negotiation problem, and the utility function of multi attributes negotiation is proposed to reflect the degree of association among different attributes. Finally, a multi-objective optimization algorithm is proposed for the large data trading of smart grid by using the vector evaluation genetic algorithm, which can achieve a win-win situation for both the buyer and the seller.

The Research of Electrical Behavior Hybrid Computing Technology Based on FCM Clustering Algorithm