Proceedings of the 2016 International Conference on Artificial Intelligence and Engineering Applications

Analysis of Load Control Strategy

Authors
Junxia Qian
Corresponding Author
Junxia Qian
Available Online November 2016.
DOI
https://doi.org/10.2991/aiea-16.2016.9How to use a DOI?
Keywords
Strategy; Power consumption; Load control.
Abstract

In the paper a management scheme is proposed. Firstly, the yardstick competition is applied to optimize the electricity energy rationing model to realize maximum energy consumption efficiency. Secondly, the objective of load control is to achieve the maximum of energy consumption efficiency and the minimization of the operation time. The optimization management based on the interruptible load is developed, and the combined heuristic NSGA- algorithm is proposed with the gene correction module to solve the optimal problem. Finally, the feasibility and effectiveness of the method proposed in the paper is proved by the research results.

Copyright
© 2016, 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 2016 International Conference on Artificial Intelligence and Engineering Applications
Series
Advances in Computer Science Research
Publication Date
November 2016
ISBN
978-94-6252-270-1
ISSN
2352-538X
DOI
https://doi.org/10.2991/aiea-16.2016.9How to use a DOI?
Copyright
© 2016, 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  - Junxia Qian
PY  - 2016/11
DA  - 2016/11
TI  - Analysis of Load Control Strategy
BT  - Proceedings of the 2016 International Conference on Artificial Intelligence and Engineering Applications
PB  - Atlantis Press
SP  - 50
EP  - 52
SN  - 2352-538X
UR  - https://doi.org/10.2991/aiea-16.2016.9
DO  - https://doi.org/10.2991/aiea-16.2016.9
ID  - Qian2016/11
ER  -