The Strategy of Power Demand Side Management Based on Energy Storage Technology

DOI

10.2991/etmhs-15.2015.221How to use a DOI?

Keywords

TOU;Load shifting;Vanadium redox flow battery;Premature convergence

Abstract

Aiming at the incompleteness of TOU for load shifting, we put forward the management strategy model of power demand side based on energy storage technology. And this paper use the particle swarm optimization algorithm to solve the model. The algorithm is tend to be premature convergence in dealing with high-dimensional problems. So we improve the algorithm .The test results show that the improved algorithm is better. Finally, through a certain area examples it simulate actual system quantitatively. The results verificate the validity of the model and controlling strategy.

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  - Ying Chen
PY  - 2015/03
DA  - 2015/03
TI  - The Strategy of Power Demand Side Management Based on Energy Storage Technology
BT  - Proceedings of the 2015 International Conference on Education Technology, Management and Humanities Science
PB  - Atlantis Press
SP  - 1001
EP  - 1004
SN  - 2352-5398
UR  - https://doi.org/10.2991/etmhs-15.2015.221
DO  - 10.2991/etmhs-15.2015.221
ID  - Chen2015/03
ER  -