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

Li, Yang; Yang, Zhen; Li, Guoqing; Mu, Yunfei; Zhao, Dongbo; Chen, Chen; Shen, Bo

doi:10.1016/j.apenergy.2018.09.211

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

Journal Article · Fri Dec 14 23:00:00 EST 2018 · Applied Energy

DOI:https://doi.org/10.1016/j.apenergy.2018.09.211· OSTI ID:1566783

Li, Yang ^[1]; Yang, Zhen ^[2]; Li, Guoqing ^[2]; Mu, Yunfei ^[3]; ^[4]; Chen, Chen ^[4]; Shen, Bo ^[5]

Northeast Electric Power Univ., Jilin (China); Argonne National Lab. (ANL), Argonne, IL (United States). Energy System Division
Northeast Electric Power Univ., Jilin (China)
Tianjin Univ., Tianjin (China). Key Lab. of Smart Grid of Ministry of Education
Argonne National Lab. (ANL), Argonne, IL (United States). Energy System Division
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Energy Analysis & Environmental Impacts Division

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.

View Accepted Manuscript (DOE)

Research Organization:: Argonne National Laboratory (ANL), Argonne, IL (United States)

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE)

Grant/Contract Number:: AC02-06CH11357

OSTI ID:: 1566783

Alternate ID(s):: OSTI ID: 1636419
OSTI ID: 23063647

Journal Information:: Applied Energy, Journal Name: Applied Energy Journal Issue: C Vol. 232; ISSN 0306-2619

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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Related Subjects

29 ENERGY PLANNING, POLICY, AND ECONOMY
Battery swapping station
Bi-level programming
Demand response
Isolated microgrids
Multi-stakeholder
Optimal scheduling
Real-time pricing
Vehicle-to-grid (V2G)

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

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