Proceedings of the Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017)

Multi-Energy Synergistic Optimization of Regional Energy Internet Considering Demand Side Responses

Authors
Ran Li, Yiqun Liu, Ming Zeng, Songsong Chen, Mingzhu Li, Wenjun Ruan
Corresponding Author
Ran Li
Available Online June 2017.
DOI
https://doi.org/10.2991/ammee-17.2017.19How to use a DOI?
Keywords
regional energy internet, demand side responses, multi-energy synergistic, PSO-EO algorithm.
Abstract
Regional energy internet is the key to achieving multi-energy synergistic optimization and efficient use of energy at the regional level. This paper focuses on the multi-energy synergistic optimization of regional energy internet and constructs a model based on demand side responses, considering total system operating costs, energy saving rate and emission reduction rate. A PSO-EO algorithm is proposed to solve the multi-objective and nonlinear optimization model [1-2]. The proposed model and algorithm are applied to an actual regional energy internet in China. Result shows that the proposed model and algorithm can optimize the operation of the system (with a reduction in the total system cost of 21.9%, the energy saving rate of 15.4% and the emission reduction rate of 19.1%) and have remarkable social and economic benefits.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017)
Part of series
Advances in Engineering Research
Publication Date
June 2017
ISBN
978-94-6252-350-0
ISSN
2352-5401
DOI
https://doi.org/10.2991/ammee-17.2017.19How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Ran Li
AU  - Yiqun Liu
AU  - Ming Zeng
AU  - Songsong Chen
AU  - Mingzhu Li
AU  - Wenjun Ruan
PY  - 2017/06
DA  - 2017/06
TI  - Multi-Energy Synergistic Optimization of Regional Energy Internet Considering Demand Side Responses
BT  - Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017)
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/ammee-17.2017.19
DO  - https://doi.org/10.2991/ammee-17.2017.19
ID  - Li2017/06
ER  -