基于AP聚类和鲁棒优化的电网规划灵活性评估

Evaluation on Grid Planning Flexibility Based on Affinity Propagation Clustering and Robust Optimization

高比例可再生能源的并网,给电力系统规划的灵活性带来了挑战。本文考虑源-荷双端的不确定性,提出了一种基于AP(affinity propagation)聚类和两阶段鲁棒优化的电网规划灵活性评估方法。首先,本文提出了基于AP聚类的远景年典型日负荷建模方法。其次,以区间的形式考虑可再生能源出力的不确定性,构建基于鲁棒优化的电力系统规划方案灵活性评估模型。最后,在整个周期的角度和各时间断面的角度提出了一组电网规划灵活性评估指标。本文利用IEEE RTS-24算例验证所提出方法的合理性。

The high-proportion integration of renewable energy into grid poses a challenge for the flexibility of power sys tem planning.In this paper,an evaluation method for grid planning flexibility is proposed based on affinity propagation(AP)clustering and two-stage robust optimization,which considers the uncertainties on both source and load sides.First,a modeling method for typical daily load in a future year is put forward based on AP clustering.Then,the uncer tainties in renewable energy output are considered in the form of interval,and an evaluation model of power system plan ning flexibility is constructed based on robust optimization.Finally,a set of evaluation indexes for grid planning flexibil ity is formulated from perspectives of the whole cycle and each time section.The rationality of the proposed method is verified by an IEEE RTS-24 test system.