Cited by 425Smart Grid Energy ManagementMicrogrid Control and OptimizationElectric Power System Optimization

Energy Sharing Management for Microgrids With PV Prosumers: A Stackelberg Game Approach

Liu, Nian, Yu, Xinghuo, Wang, Cheng, Wang, Jinjian·2017·IEEE Transactions on Industrial Informatics

Abstract

For microgrids with photovoltaic (PV) prosumers, the effective energy sharing management (ESM) is important for the operation. In this paper, a Stackelberg game approach for ESM is proposed. First, according to feed-in-tariff of PV energy, a system model of ESM is introduced, which includes the profit model of microgrid operator (MGO) and the utility model of PV prosumers. Moreover, an hour-ahead optimal pricing model of ESM is proposed. The model is designed based on Stackelberg game, where the MGO acts as the leader and all participating prosumers are considered as the followers. With the proof of equilibrium and uniqueness of the Stackelberg equilibrium, the MGO is obligated to coordinate the sharing of PV energy with maximization of the own profit, while the prosumers are autonomous to maximize their utilities with demand response availability. Finally, a billing mechanism is designed to deal with the uncertainty of PV energy and load consumption. By using the collected data from realistic PV-roofed buildings, the effectiveness of the model is verified in terms of the profit of MGO, the utilities of prosumers, and the net energy of the microgrid.

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Crossref · 10.1109/tii.2017.2654302

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  • The charging power dispatched by the charging station may be less than the upper boundary, which may lead to dissatisfaction of EVs or decrease their utility.

    “The charging power dispatched by the charging station may be less than the upper boundary, which may lead to dissatisfaction of EVs or decrease their utility [9].”

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Authors
Liu, N., Yu, X., Wang, C., & Wang, J.
Affiliations
  • North China Electric Power University (CN)
  • RMIT University (AU)
Venue
IEEE Transactions on Industrial Informatics
Published
2017-06
Volume
13
Issue
3
Pages
1088-1098
ISSN
  • 1551-3203 (ISSN-L)
  • 1941-0050
OpenAlex
W2576678952
Cited by
425
References
0
Citations by year
2026: 21 · 2025: 43 · 2024: 55 · 2023: 48 · 2022: 62 · 2021: 62 · 2020: 60 · 2019: 39 · 2018: 24 · 2017: 11
FWCI
15.24
Type
journal article
Language
en
Open access
closed
Locations
  • IEEE Transactions on Industrial Informatics (publishedVersion)
  • RMIT Research Repository (RMIT University Library) (submittedVersion)
  • Figshare (submittedVersion)
Funders
  • National Natural Science Foundation of China (51577059)
  • Fundamental Research Funds for the Central Universities (2015ZD02)
Topics
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid Energy Management
  • Physical Sciences › Engineering › Control and Systems Engineering › Microgrid Control and Optimization
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Power System Optimization
Keywords
microgrids, Stackelberg game, microgrid operator, feed-in tariffs, demand response, load uncertainty, Stackelberg equilibrium, net energy

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