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Title: Optimal scheduling of isolated microgrid with an electric vehicle battery swapping station in multi-stakeholder scenarios: A bi-level programming approach via real-time pricing

Abstract

In order to coordinate the scheduling problem between an isolated microgrid (IMG) and electric vehicle battery swapping stations (BSSs) in multi-stakeholder scenarios, a new bi-level optimal scheduling model is proposed for promoting the participation of BSSs in regulating the IMG economic operation. In this model, the upper-level sub-problem is formulated to minimize the IMG net costs, while the lower-level aims to maximize the profits of the BSS under real-time pricing environments determined by demand responses in the upper-level decision. To solve the model, a hybrid algorithm, called JAYA-BBA, is put forward by combining a real/integer-coded JAYA algorithm and the branch and bound algorithm (BBA), in which the JAYA and BBA are respectively employed to address the upper- and lower- level sub-problems, and the bi-level model is eventually solved through alternate iterations between the two levels. The simulation results on a microgrid test system verify the effectiveness and superiority of the presented approach.

Authors:
 [1];  [2];  [2];  [3]; ORCiD logo [4];  [4];  [5]
  1. Northeast Electric Power Univ., Jilin (China); Argonne National Lab. (ANL), Argonne, IL (United States). Energy System Division
  2. Northeast Electric Power Univ., Jilin (China)
  3. Tianjin Univ., Tianjin (China). Key Lab. of Smart Grid of Ministry of Education
  4. Argonne National Lab. (ANL), Argonne, IL (United States). Energy System Division
  5. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Energy Analysis & Environmental Impacts Division
Publication Date:
Research Org.:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
OSTI Identifier:
1566783
Alternate Identifier(s):
OSTI ID: 1636419
Grant/Contract Number:  
AC02-06CH11357; 201608220144
Resource Type:
Accepted Manuscript
Journal Name:
Applied Energy
Additional Journal Information:
Journal Volume: 232; Journal Issue: C; Journal ID: ISSN 0306-2619
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
29 ENERGY PLANNING, POLICY, AND ECONOMY; Real-time pricing; Battery swapping station; Bi-level programming; Demand response; Isolated microgrids; Multi-stakeholder; Optimal scheduling; Vehicle-to-grid (V2G)

Citation Formats

Li, Yang, Yang, Zhen, Li, Guoqing, Mu, Yunfei, Zhao, Dongbo, Chen, Chen, and Shen, Bo. Optimal scheduling of isolated microgrid with an electric vehicle battery swapping station in multi-stakeholder scenarios: A bi-level programming approach via real-time pricing. United States: N. p., 2018. Web. https://doi.org/10.1016/j.apenergy.2018.09.211.
Li, Yang, Yang, Zhen, Li, Guoqing, Mu, Yunfei, Zhao, Dongbo, Chen, Chen, & Shen, Bo. Optimal scheduling of isolated microgrid with an electric vehicle battery swapping station in multi-stakeholder scenarios: A bi-level programming approach via real-time pricing. United States. https://doi.org/10.1016/j.apenergy.2018.09.211
Li, Yang, Yang, Zhen, Li, Guoqing, Mu, Yunfei, Zhao, Dongbo, Chen, Chen, and Shen, Bo. Sat . "Optimal scheduling of isolated microgrid with an electric vehicle battery swapping station in multi-stakeholder scenarios: A bi-level programming approach via real-time pricing". United States. https://doi.org/10.1016/j.apenergy.2018.09.211. https://www.osti.gov/servlets/purl/1566783.
@article{osti_1566783,
title = {Optimal scheduling of isolated microgrid with an electric vehicle battery swapping station in multi-stakeholder scenarios: A bi-level programming approach via real-time pricing},
author = {Li, Yang and Yang, Zhen and Li, Guoqing and Mu, Yunfei and Zhao, Dongbo and Chen, Chen and Shen, Bo},
abstractNote = {In order to coordinate the scheduling problem between an isolated microgrid (IMG) and electric vehicle battery swapping stations (BSSs) in multi-stakeholder scenarios, a new bi-level optimal scheduling model is proposed for promoting the participation of BSSs in regulating the IMG economic operation. In this model, the upper-level sub-problem is formulated to minimize the IMG net costs, while the lower-level aims to maximize the profits of the BSS under real-time pricing environments determined by demand responses in the upper-level decision. To solve the model, a hybrid algorithm, called JAYA-BBA, is put forward by combining a real/integer-coded JAYA algorithm and the branch and bound algorithm (BBA), in which the JAYA and BBA are respectively employed to address the upper- and lower- level sub-problems, and the bi-level model is eventually solved through alternate iterations between the two levels. The simulation results on a microgrid test system verify the effectiveness and superiority of the presented approach.},
doi = {10.1016/j.apenergy.2018.09.211},
journal = {Applied Energy},
number = C,
volume = 232,
place = {United States},
year = {2018},
month = {12}
}

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Cited by: 54 works
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