| To address the current problems in the planning of photovolta-ic-energy storage-charging stations (PECS), such as the lack of coordination of various equipment, the distribution network operation status and the risks caused by uncertainties have not been adequately considered, this paper proposes an economic and low-carbon coordinated configuration model for PECS considering uncertainty risk. Firstly, a coordinated planning model of the PECS is established to optimize the allocation capacity of photovoltaic, energy storage and charging piles, taking into account the operating status of the PECS, the distribution network power flow constraints, and the carbon emissions cost of the system. Next, based on the typical scenarios generated by K-means clustering, conditional value-at-risk (CVaR) is introduced to quantify the risk cost of the PECS, thereby accounting for the uncertainty of photovoltaic output and electric vehicle charging loads in the planning process. Then, process the constructed model by means of product linearization and second-order conic relaxation to transform it into a unified model that can be solved accurately by commercial solvers. Finally, the simulation results verify that the proposed model can effectively improve the planning economy of the PECS, accommodating the high efficiency and low-carbon demand of the distribution network operation, and realizing the balance between the economic cost and the risk cost. |