Optimal Trading Strategies for Multi-Energy Microgrid Cluster Considering Demand Response Under Different Trading Modes : A Comparison Study
The linkage of neighborhood multi-energy microgrids (MEMGs) may overcome the disadvantage of one single microgrid (MG) since surplus/deficient energy can meet balance internally and realize self-satisfaction. In order to realize successful cooperation of such a complicated energy system, optimal trading strategy and reasonable trading price among all entities are important. In this study, a bi-level optimization model combined of two trading modes is proposed under different scenarios: intermediary agent (IA)-based trading mode where IA acts as an intermediate operator, as well as direct trading mode without IA. Stackelberg game theory (SGT) method and supply/demand (S/D) ratio method are used for price determination, respectively. Again, integrated demand response (IDR) is also considered in this study. As an illustrative example, a comparative study is implemented in a neighboring energy cluster combing three park-level MEMGs. The results show that, compared with the situation that each MEMG acts alone, a cluster obviously increase total benefit which may contribute to the development of tailored policy instruments. In addition, although direct trading among MEMGs enjoys higher benefit, self-sufficient ability is lower than the situation considering IA, which may help policy makers to more accurately predict merits and demerits associated with different energy trading modes among MEMGs
Year of publication: |
[2021]
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Authors: | Wu, Qiong ; Xie, Zhun ; Ren, Hongbo ; Li, Qifen ; Yang, Yongwen |
Publisher: |
[S.l.] : SSRN |
Saved in:
freely available
Extent: | 1 Online-Ressource (48 p) |
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Series: | |
Type of publication: | Book / Working Paper |
Language: | English |
Notes: | Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments 2021 erstellt |
Other identifiers: | 10.2139/ssrn.3892173 [DOI] |
Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013217714
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