Abstract

The access of distributed generator (DG) to the distribution network becomes a voltage support point, which is conducive to optimizing the power flow and reducing the losses in the distribution network. The volatility of DG increases the uncertainty of grid operation and increases the difficulty of distribution grid operation control. To address the above contradictions, this paper researches the optimal allocation of distributed power sources. A bi-level optimal allocation model that integrates planning and operation is established. The upper takes the economic optimization of the distribution company as the target, while the lower layer optimizes the DG allocation scheme with minimum network loss and passes the target value to the upper layer to make the distribution network economically optimal. The DG output scenario generation method based on kernel density estimation and k-means clustering addresses the uncertainty of DG active power output. A computational analysis is carried out based on a typical 10kV distribution network with PV as an example to verify the validity of the model.

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