A Novel Approach for Multi-Area Power System Day-ahead Scheduling under Uncertainties

作者:Chen, Yiping*; Hou, Jun; Chen, Jingpeng; Zheng, Xiaodong; Chen, Haoyong; Liang, Zipeng
来源:IEEE-Power-and-Energy-Society General Meeting (PESGM), Portland, 2018-08-05 To 2018-08-10.
DOI:10.1109/PESGM.2018.8586306

摘要

The uncertainties of renewable energy and load demand challenge the short-term operation of power system. Although robust unit commitment has been extensively studied, we propose a novel approach for day-ahead scheduling in multi-area power system, which is in compliance with the operation pattern of hierarchically-organized system operators such as in China. The problem is formulated as a two-stage robust optimization, in which the first-stage problem minimizes a quadratic function to decide an interval of daily generation, and the second-stage problem works out generation and transmission power profiles while guaranteeing the robust feasibility of the pre-decision with regard to any realization within the uncertainty set. Column-and-constraint generation method are adopted in the solution procedure. We carry out numeric experiment based on China Southern Grid, after which the performance of our algorithm is assessed, and the effectiveness and feasibility of the proposed approach are verified.

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