Proceedings of the 2015 International Symposium on Material, Energy and Environment Engineering

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

Authors
Jiangpeng Dai, Aihua Zhou, Wei Rao, Lipeng Zhu
Corresponding Author
Jiangpeng Dai
Available Online November 2015.
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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Volume Title
Proceedings of the 2015 International Symposium on Material, Energy and Environment Engineering
Series
Advances in Engineering Research
Publication Date
November 2015
ISBN
10.2991/ism3e-15.2015.127
ISSN
2352-5401
DOI
10.2991/ism3e-15.2015.127How to use a DOI?
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  - 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  -