基于二次聚类的工业用户负荷可调节潜力特征提取与综合评估方法

随着新能源发电占比增加，发电侧的调节能力降低，挖掘负荷侧的可调节潜力是新型电力系统电力供需平衡的必然选择。针对工业用户，提出了一种基于二次聚类的可调节潜力特征提取与综合评估方法。综合考虑工业用户的可中断性、可转移性和生产属性，建立了负荷可调节潜力评估指标体系。首先，采用近邻传播(affinity propagation, AP)聚类-k均值(k-means)聚类的二次聚类方法挖掘用户可调节潜力特征，计算可调节指标。其次，基于相关性定权(criteria importance through intercriteria correlation, CRITIC)法和多准则妥协解排序(vlsekriterijumska optimizacija I kompromisno resenje, VIKOR)法分别评估工业用户可中断潜力、可转移潜力和生产潜力。然后，利用集对分析(set pair analysis, SPA)-可变模糊集(variable fuzzy set, VFS)法评估工业用户负荷综合可调节潜力，并得到优先级排序。最后，根据某地区9户工业用户历史负荷监测数据进行可调节潜力评估，通过对不同聚类方法、不同指标体系以及不同评估算法结果的对比分析，验证了所提方法在特征提取、指标定义以及评估合理性方面的优势。

Feature extraction and comprehensive evaluation method of load adjustable potential for industrial users based on secondary clustering

With the increasing proportion of new energy power generation, the adjustable capacity of the generation side is reduced. Mining the adjustable potential of the load side is an inevitable choice for the balance of power supply and demand in the new power system. A feature extraction and comprehensive evaluation method of adjustable potential for industrial users based on secondary clustering is proposed. Taking into account the interruptibility, transferability and production attributes, an evaluation index system of load adjustable potential is built. First, the secondary clustering method of affinity propagation clustering, k-means clustering, is proposed to mine adjustable potential features and calculate adjustable indices. Second, the methods of criteria importance through intercriteria correlation (CRITIC) and vlsekriterijumska optimizacija I kompromisno resenje (VIKOR) are used to evaluate the interruptible, transferable and production potentials of industrial users. Then, the set pair analysis-variable fuzzy set (SPA-VFS) method is used to evaluate the comprehensive adjustable potential of industrial users and to obtain the priority ranking. Finally, the adjustable potential of nine industrial users is evaluated using historical load monitoring data. By comparing different clustering methods, index systems and evaluation algorithms, the advantages of the proposed method in feature extraction, index definition and evaluation rationality are verified.