一种关联层次赋权与离散模糊数的变电设备评估方法

为了解决变压器状态评价指标的单一性导致其状态评价可靠性低的问题,提出一种基于层次赋权与离散模糊数的变压器状态评估模型.首先,通过构建层次分析法赋权模型,关联变压器设备多个关键指标形成评价体系.进一步地,为了更合理地区分评价等级,降低不同等级之间的交差性和相似性,采用多等级的模糊语言描述变压器状态,将基于多指标的设备评价通过离散模糊矩阵映射到隶属度空间,再根据隶属度原则确定设备状态.最后在实际案例上测试.结果表明,模型评价等级基本与实际变压器状态一致,验证了基于上述模型的评价结果能够合理反应变压器状态,进而为电力系统设备评价决策、检修、延长设备使用寿命等提供参考依据.

Evaluation Model of Substation Equipment Based on Hierarchical weighting and Discrete Fuzzy Number Theory

In order to solve the problem that the unity of the transformer state evaluation index leading to low reliability of the transformer state evaluation, a transformer state evaluation model based on hierarchical weighting and discrete fuzzy numbers is proposed. First, an evaluation system is formed by constructing an analytic hierarchy model to correlate multiple key indicators of transformer equipment. Furthermore, in order to distinguish the evaluation grades more reasonably and reduce the intersection and similarity between different grades, multi-level fuzzy language was used to describe the state of the transformer, and the equipment evaluation based on multi-index was mapped to the membership space. Finally, the equipment status was determined according to the principle of membership. Finally, the test on actual cases shows that the model evaluation level is basically consistent with the actual transformer state. It is verified that the evaluation results based on the above model can reasonably reflect the transformer state, thus providing a reference for power system equipment evaluation, decision-making, maintenance, and extension of equipment life.