基于随机森林的电能质量综合评估

Comprehensive Assessment of Power Quality Based on Random Forest

电能质量的准确合理评估对建立公平的电力市场有着重要意义。针对目前电能质量评估中受人为因素影响较大的问题,借助随机森林处理分类问题的高度准确性,建立了基于随机森林的电能质量综合评估模型。以电能质量的6项评估指标为特征值将电能质量划分为5个等级,并以此生成随机森林的样本集,利用样本集生成多个电能质量综合评估树形分类器,通过投票的方式对电能质量所属等级进行划分。通过两例电网电能质量数据的分析计算,验证了评估模型的有效性。该模型避免了评估过程中的人为干扰,具有很强的泛化和抗噪能力,在电网电能质量综合评估中具有很好的应用前景。

Accurate and reasonable assessment of power quality is of great significance to a fair power market. In view of the fact that power quality assessment are greatly influenced by artificial factors, the power quality comprehensive evaluation model is set up based on random forest with the help of high accuracy of random forest to deal with classification problems. Power quality is divided into five grades according to its six evaluation indexes, and then the random forest sample set is generated. Multiple power quality comprehensive evaluation tree classifiers is built based on the sample set and the rating system for the power quality is achieved by voting. The evaluation model is verified by two study cases. This model avoids the human disturbance in the evaluation process with the strong generalization and anti-noise capability. Therefore, it has a good application prospect in the comprehensive assessment of power grid power quality.