Research on Electric Energy Meter Technology in the Background of Smart Grid Based on Particle Swarm Optimization Algorithm

DOI

10.2991/mcei-18.2018.58How to use a DOI?

Keywords

Binary ant colony optimization algorithm; Smart grid; ADE7758; Smart meter

Abstract

With the continuous development of China's power electronics technology, the power sector's optimization and control efforts for various energy consuming manufacturing enterprises have also been significantly increased. At the same time, the energy problem has been seen as an urgent need to optimize the use of. The power parameters measured by traditional electric power monitoring instruments are too single. Compared with the increasingly complex power supply network, the overall monitoring of the power quality cannot be achieved. In view of this, in the background of smart grid based on binary ant colony optimization algorithm, a kind of power monitoring instrument based on ADE7758 is proposed in this paper. Compared with the previous power monitoring instrument, the central processor adopts ARM9 chip, which has fast processing speed, high precision of data, supports a variety of communication interfaces and the peripheral expansion function is strong.

Copyright

© 2018, 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  - Ning Li
AU  - YinChang Zhang
AU  - Liang Zhang
AU  - Jun Sun
PY  - 2018/06
DA  - 2018/06
TI  - Research on Electric Energy Meter Technology in the Background of Smart Grid Based on Particle Swarm Optimization Algorithm
BT  - Proceedings of the 2018 8th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2018)
PB  - Atlantis Press
SP  - 289
EP  - 295
SN  - 2352-538X
UR  - https://doi.org/10.2991/mcei-18.2018.58
DO  - 10.2991/mcei-18.2018.58
ID  - Li2018/06
ER  -