Renewable energy exporting consumption-oriented transfer limit switching control: A unsupervised learning-based method
CoRR(2024)
摘要
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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