首页|Modeling the power trading strategies of a retailer with multi-microgrids: a robust bi-level optimization approach
Modeling the power trading strategies of a retailer with multi-microgrids: a robust bi-level optimization approach
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NETL
NSTL
Taylor & Francis
The primary contribution of this paper lies in the development of a bi-leveloptimization framework designed to model a retailer’s power trading strategieswithin the context of multi-microgrids. Another noteworthy aspect ofthis research is managing the risk associated with the retailer’s decisionmakingprocess, achieved by addressing the unpredictability of market pricesthrough a robust bi-level structure. In this model, the upper-level problemfocuses on the retailer’s decision-making, while the lower-level problemaddresses microgrid considerations. Furthermore, a load-shifting strategy isintegrated into the microgrid problem to enhance the profitability-to-costratio for both the retailer and the microgrids. The results demonstrate a 3%increase in the retailer’s profits and a significant 30% reduction in the microgrids’costs using the load-shifting strategy. In the most unfavorable scenario,the retailer experiences a profit reduction of 21.67%, while the maximumincrease in the microgrids’ costs reaches 238.3%.
Distributed energy resourceselectrical energy storagemicrogridsretailerbi-level optimization approach
NETL
NSTL
Taylor & Francis
