LAPSE:2020.0056
Published Article
LAPSE:2020.0056
A Risk Aversion Dispatching Optimal Model for a Micro Energy Grid Integrating Intermittent Renewable Energy and Considering Carbon Emissions and Demand Response
Xiaoxu Fu, Wei Fan, Hongyu Lin, Nan Li, Peng Li, Liwei Ju, Feng’ao Zhou
January 7, 2020
This paper focuses on an optimal schedule for a micro energy grid considering the maximum total carbon emission allowance (MTEA). Firstly, the paper builds an energy devices operation model and demand response (DR) model. Secondly, to maximize the economical operation revenue, the basic scheduling model for the micro energy grid is constructed. Thirdly, the conditional value at risk method and robust stochastic theory are introduced to describe the uncertainty of wind power, photovoltaic power, and load, and a risk aversion model is proposed. Finally, this paper selects the Xinxiang active distribution network demonstration project in Jining, China as an example. The results show that: (1) a micro energy grid can make the most use of the complementary characters of different energy sources to meet different energy demands for electricity, heat, cold, and gas; (2) the risk aversion scheduling model can represent the influence of uncertainty variables in objective functions and constraints, and provide a basis for decision makers who have different attitudes; and (3) DR can smooth the energy load curves. MTEA can enhance the competitiveness of the clean energy market, thus promoting the grid-connected generation of clean energy. Therefore, the risk aversion model can maximize the economic benefits and provide a basis for decision makers while rationally controlling risks.
Keywords
demand response, distributed energy, micro energy grid, risk aversion, uncertainty
Suggested Citation
Fu X, Fan W, Lin H, Li N, Li P, Ju L, Zhou F. A Risk Aversion Dispatching Optimal Model for a Micro Energy Grid Integrating Intermittent Renewable Energy and Considering Carbon Emissions and Demand Response. (2020). LAPSE:2020.0056
Author Affiliations
Fu X: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Fan W: School of Economics and Management, North China Electric Power University, Beijing 102206, China; Beijing Energy Development Research Base, Beijing 102206, China [ORCID]
Lin H: School of Economics and Management, North China Electric Power University, Beijing 102206, China; Beijing Energy Development Research Base, Beijing 102206, China
Li N: State Grid Qinghai Electric Economical Research Institute, Beijing 100045, China
Li P: State Grid Henan Economical Research Institute, Zhengzhou 450052, China
Ju L: School of Economics and Management, North China Electric Power University, Beijing 102206, China; Beijing Energy Development Research Base, Beijing 102206, China
Zhou F: School of Economics and Management, North China Electric Power University, Beijing 102206, China; Beijing Energy Development Research Base, Beijing 102206, China
Journal Name
Processes
Volume
7
Issue
12
Article Number
E916
Year
2019
Publication Date
2019-12-03
Published Version
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr7120916, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2020.0056
This Record
External Link

doi:10.3390/pr7120916
Publisher Version
Download
Files
[Download 1v1.pdf] (4.3 MB)
Jan 7, 2020
Main Article
License
CC BY 4.0
Meta
Record Statistics
Record Views
479
Version History
[v1] (Original Submission)
Jan 7, 2020
 
Verified by curator on
Jan 7, 2020
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2020.0056
 
Original Submitter
Calvin Tsay
Links to Related Works
Directly Related to This Work
Publisher Version