Proceedings of the 2015 International Conference on Education Technology, Management and Humanities Science

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

Authors
Ying Chen
Corresponding Author
Ying Chen
Available Online March 2015.
DOI
https://doi.org/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.
Open Access
This is an open access article distributed under the CC BY-NC license.

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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  - 2015 International Conference on Education Technology, Management and Humanities Science (ETMHS 2015)
PB  - Atlantis Press
SP  - 1001
EP  - 1004
SN  - 2352-5398
UR  - https://doi.org/10.2991/etmhs-15.2015.221
DO  - https://doi.org/10.2991/etmhs-15.2015.221
ID  - Chen2015/03
ER  -