Proceedings of the 2019 International Conference on Mathematics, Big Data Analysis and Simulation and Modelling (MBDASM 2019)

Research on Planning Model of Intelligent Energy System Based on Integrated Energy Stations

Authors
Ruixin Chen, Jingyi Liu, Wei Liu
Corresponding Author
Ruixin Chen
Available Online October 2019.
DOI
10.2991/mbdasm-19.2019.36How to use a DOI?
Keywords
intelligent energy; integrated energy; energy station; multi-objective planning
Abstract

Traditional energy system planning mainly focuses on the energy system itself, featuring more serious fragmentation. The planning of intelligent energy systems needs to take full account of the system operation and coupling between different energy systems. In the present study, the planning model of intelligent energy systems based on integrated energy stations starts from the basic structure of energy stations, in which a double optimization model is established, including a planning level and an operation level, the economy, environmental protection and comprehensive energy utilization efficiency of the system considered, and the NSGA-II algorithm is used for optimization. Finally, a case in Hebei Province was used to solve the problem and verify the advantages of the model in the present, in terms of improving the comprehensive energy utilization efficiency, ensuring the economy of the system and reducing pollutant emissions.

Copyright
© 2019, 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 2019 International Conference on Mathematics, Big Data Analysis and Simulation and Modelling (MBDASM 2019)
Series
Advances in Computer Science Research
Publication Date
October 2019
ISBN
978-94-6252-811-6
ISSN
2352-538X
DOI
10.2991/mbdasm-19.2019.36How to use a DOI?
Copyright
© 2019, 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  - Ruixin Chen
AU  - Jingyi Liu
AU  - Wei Liu
PY  - 2019/10
DA  - 2019/10
TI  - Research on Planning Model of Intelligent Energy System Based on Integrated Energy Stations
BT  - Proceedings of the 2019 International Conference on Mathematics, Big Data Analysis and Simulation and Modelling (MBDASM 2019)
PB  - Atlantis Press
SP  - 158
EP  - 162
SN  - 2352-538X
UR  - https://doi.org/10.2991/mbdasm-19.2019.36
DO  - 10.2991/mbdasm-19.2019.36
ID  - Chen2019/10
ER  -