一种新的基于模糊贴近度及逆向云组合权重的电力变压器状态评估方法

A New Power Transformer State Evaluation Method Based on Fuzzy Closeness and Inverse Cloud Combination Weight

变压器是电力系统中的重要电气设备,其健康状态评估对系统安全稳定运行具有重要的理论与工程意义。首先考虑变压器状态评价过程中不同指标赋权的模糊性影响,提出逆向云组合权重法,实现指标权重的模糊动态描述;其次,基于云模型运算得到变压器状态赋权综合云模型,并通过指标近似法构建变压器各状态等级对应的云模型,实现指标信息与评价过程不确定性结合;最后,利用模糊贴近度算法计算变压器状态与各状态等级贴近度,构建基于逆向云组合权重及模糊贴近度的变压器状态评估模型,实现变压器状态评估。算例结果验证了所提方法的有效性与正确性。

Transformer is an important electrical equipment in the power systems, and its health assessment has important theoretical and engineering significance for the safe and stable operation of the power system. Firstly, considering the fuzzy influence of different index weights in the process of transformer status evaluation, an inverse cloud combination weighting method was proposed to realize the fuzzy dynamic description of index weights. Secondly, a comprehensive cloud model of transformer status weighting was obtained based on the cloud model calculations, and the index approximated method was used to construct the cloud model corresponding to each state level of the transformer for realizing the combination of index information and the uncertainty of the evaluation process. Finally, the fuzzy closeness algorithm was used to calculate the closeness of the transformer state to each state level, and the transformer condition assessment model based inverse cloud combination weight and fuzzy closeness were constructed to realize transformer state assessment. The results of calculation examples verify the effectiveness and correctness of the proposed method.