A joint configuration method for multiple flexible resources in low carbon distribution networks based on massive scene dimensionality reduction

Zhen Zheng, Guanhua Zhang, Duhong Wang, Kai Mou, Zhizhuo He and Haijun Xing

International Journal of Low-Carbon Technologies, 2024, vol. 19, 534-543

Abstract: Due to the extensive access of renewable sources in distribution networks, this research proposes a joint configuration method for multiple flexible resources in low carbon distribution networks based on massive scene dimensionality reduction to maximize the access capacity of renewable sources. The dimensionality reduction clustering is carried out on the wind-light-load mass high-dimensional scenes by the principal component Gaussian mixture clustering algorithm, and the typical scene set of wind-power-loads is obtained. Hereafter, a joint configuration model for multiple flexible resources of distribution network for massive scenarios is constructed, and using the second-order cone relaxation technique to convert the non-convex constraints in the model to convex processing. Last, a Portugal 54 distribution system is employed to verify the proposed method.

Keywords: low carbon distribution network; principal component analysis method; Gaussian mixed clustering; multiple flexible resources; joint configuration (search for similar items in EconPapers)
Date: 2024
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