A Cloud Ideal Solution Evaluation Method for Transformer Electromagnetic Design Scheme

Abstract

The invention relates to the field of transformer electromagnetic design scheme evaluation, in particular to a cloud ideal solution evaluation method for a transformer electromagnetic design scheme. The method comprises the steps of screening evaluation indexes, collecting and arranging data, and constructing a cloud model decision matrix; according to the cloud model decision matrix, generating a deterministic decision matrix; determining a weight of a cloud model; according to the weight of the cloud model, generating a deterministic weight; determining positive ideal cloud and negative ideal cloud; calculating a comprehensive determination degree of each scheme for the positive and negative ideal cloud; calculating a close degree of each scheme; and according to the close degrees, sorting to-be-evaluated schemes. According to the method, a technique for order preference by similarity to ideal solution (TOPSIS) is improved by utilizing the randomness and fuzziness of a cloud theory, the shortcomings of a conventional TOPSIS for calculating the close degree by utilizing a Euclidean distance and determining an evaluation model are overcome, the indeterminacy in realistic evaluation is reflected, and the flexibility, effectiveness and objectivity of transformer electromagnetic design scheme evaluation are improved.

Description

technical field [0001] The invention relates to a method for evaluating an electromagnetic design scheme of a transformer, in particular to a method for evaluating a cloud ideal solution of a transformer electromagnetic design scheme. Background technique [0002] The size and structural parameters of the transformer will affect the performance and cost of the transformer. Optimizing the electromagnetic design scheme of the transformer with the goal of efficiency or cost has been a hot spot that people have paid attention to. In the face of fierce market competition and the individuation and diversification of customer needs, the single-objective determination of the final design of the transformer can no longer meet the needs. Multi-objective optimization design can obtain multiple Pareto frontier solutions, but how to evaluate each solution (scheme ) is a problem that needs to be solved. [0003] At present, there are relatively few studies on the evaluation of the advant...

AI Technical Summary

Problems solved by technology

[0015] The application of Chinese patent application publication number CN 104679988 provides a multi-attribute decision-making method based on cloud TOPSIS, but there is also the same weight of expectation, entropy and hyper-entropy of the same decision attribute when the initial cloud decision matrix is ​​constructed. The problem that the polarity directions of expectation, entropy and hyper-entropy of the same decision attribute are consistent in the construction of negative ideal cloud

[0017] The literature "Evaluation of Customer Collaborative Innovation Work Based on Cloud Theory and Ideal Solution" (Innovative Technology, Issue 8, 2015, p25-28) proposes to use weighted comprehensive certainty to replace the distance in the traditional ideal solution to improve the approximation to the ideal method. Deterministic, a positive and negative ideal cloud construction method is given, but the weight and decision matrix are still in the conventional form, which does not fully reflect the uncertainty of the real world

Images