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arXiv · 2401.14949

Renewable energy exporting consumption-oriented transfer limit switching control: A unsupervised learning-based method

Gao Qiu·Haojin Peng·Youbo Liu·Tingjian Liu·Junyong Liu
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Abstract

A method for generating unsupervised conditional mapping rules for multi-inter-corridor transfer limits and their integration into unit commitment through banding-switching is proposed in this paper. The method starts by using Ant colony clustering(ACC) to identify different operating modes with renewable energy penetration. For each sub-pattern, coupling inter-corridors are determined using correlation coefficients. An algorithm for constructing coupled inter-corridors' limits boundaries, employing grid partitioning, is proposed to establish conditional mappings from sub-patterns to multi-inter-corridor limits. Additionally, a banding matching model is proposed, incorporating distance criteria and the Big-M method. It also includes a limit-switching method based on Lagrange multipliers. Case studies on the IEEE 39-node system illustrate the effectiveness of this method in increasing consumption of renewable energy and reducing operational costs while adhering to stability verification requirements.

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Gao Qiu, Haojin Peng, Youbo Liu, Tingjian Liu, Junyong Liu. 2024-01-26. Renewable energy exporting consumption-oriented transfer limit switching control: A unsupervised learning-based method. https://arxiv.org/abs/2401.14949

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