CAO Jinsheng,ZENG Jun,LIU Junfeng,et al.Distributionally Robust Optimization Method for Grid-connected Microgrid Considering Extreme Scenarios[J].Automation of Electric Power Systems,2022,46(7):50-59.
CAO Jinsheng,ZENG Jun,LIU Junfeng,et al.Distributionally Robust Optimization Method for Grid-connected Microgrid Considering Extreme Scenarios[J].Automation of Electric Power Systems,2022,46(7):50-59. DOI: 10.7500/AEPS20210706005.
Distributionally Robust Optimization Method for Grid-connected Microgrid Considering Extreme Scenarios
Uncertainties of loads and distributed generators are the difficulties in the microgrid operation optimization. This paper proposes a day-ahead distributionally robust optimization method for grid-connected microgrid considering extreme scenarios to ensure the robustness and efficiency of microgrid energy management. Firstly
considering the uncertainty of sources and loads
a fuzzy set of probability distribution based on Wasserstein distance is constructed
and the fuzzy set is modified by the extreme scenario method to improve the robustness of the fuzzy set. Secondly
considering that the microgrid and the distribution network are different stakeholders in the grid-connected mode
the day-ahead operation optimization models of the microgrid and the distribution network are established
respectively
and the improved analytical target cascading is used to carry out decoupling and iterative solution. Finally
the effectiveness of the proposed method is verified by the simulation comparison.
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