Taking the collaborative operation of distribution networks and microgrids (MG) as the research object
a distributionally robust coordination control method considering the battery aging cost for the coordination between distribution networks and MG is proposed. Firstly
with the participation of reactive power auxiliary services
taking the economic efficiency of the operation of the distribution network and the MG respectively as the interest demands
and considering the aging cost of the battery energy storage (BES) model
a two-layer Stackelberg game model for the integrated active and reactive power coordination control in the coordinated operation of the distribution network and the MG is established. Then
driven by the historical data sets of the output of distributed photovoltaic (PV) power and loads
an uncertainty set of the probability distribution of typical scenarios is constructed based on the KL divergence
and a distributionally robust coordination control model for the coordination between the distribution network and the MG is established. Finally
the Karush-Kuhn-Tucker (KKT) conditions and the column and constraint generation (C&CG) algorithm are used to transform the two-layer distributionally robust coordination control model for the coordination between the distribution network and the MG into a single-layer model for iterative solution. The simulation results on the improved 69-bus test case show that the proposed distributionally robust coordination control method considering the battery aging cost for the coordination between the distribution network and the MG can effectively balance the economic efficiency and robustness of the coordinated operation of the distribution network and the MG.
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