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

DOI

10.2991/ism3e-15.2015.127How to use a DOI?

Abstract

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 Eco-City 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.

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  - Jiangpeng Dai
AU  - Aihua Zhou
AU  - Wei Rao
AU  - Lipeng Zhu
PY  - 2015/11
DA  - 2015/11
TI  - The Research of Electrical Behavior Hybrid Computing Technology Based on FCM Clustering Algorithm
BT  - Proceedings of the 2015 International Symposium on Material, Energy and Environment Engineering
PB  - Atlantis Press
SP  - 530
EP  - 534
SN  - 2352-5401
UR  - https://doi.org/10.2991/ism3e-15.2015.127
DO  - 10.2991/ism3e-15.2015.127
ID  - Dai2015/11
ER  -