Open AccessOptimal energy sharing model for multi-microgrids integrated into the distribution network
Author(s) -
Wei Jing,
Shengyong Ye,
Yu Han,
Xuna Liu,
Da Li,
Dan Zhao,
Siqi Wang,
Wenshi Ren,
ChiYu Li,
Hongjun Gao
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/467/1/012096
Subject(s) - microgrid , prosumer , shapley value , computer science , context (archaeology) , profit (economics) , distributed generation , clean energy , renewable energy , electricity , environmental economics , mathematical optimization , game theory , economics , microeconomics , engineering , paleontology , mathematics , electrical engineering , biology
With the large-scale integration of clean energy resources, microgrids have shifted from consumer to prosumer. Therefore, the behavior of microgrids would have an enormous impact on the distribution network and electricity market. In this context, this paper established an optimal energy sharing model for multi-microgrids under the condition of the constructing cooperative alliance relationship. An overall operation strategy to maximize clean energy utilization and overall benefits is constructed by a two-stage robust model considering the uncertainty of clean energy. Also, a Shapley model is established to distribute the profit based on the contribution among multi-microgrids. Finally, a test case is applied to demonstrate the effectiveness of the proposed model and is given to verify that the economic benefits of each microgrid are improved after optimization.