ScholarLens Back to search
2014•Advanced materials researchOpen access

The Comprehensive Assessment of Power Quality Based on Attribute Recognition Theory and AHP Algorithm

Sui Peng, Zhi Wei Liu

Open full text 7 citations

Abstract

It is the direction of the future development of the electricity market to assess power quality and determine the tariff in accordance with the power quality. This paper established attribute recognition theoretical model, and determined the weight of each evaluation index of power quality based on Analytic Hierarchy Process (AHP) algorithm, and proposed the comprehensive assessment of power quality based on attribute recognition theory and AHP algorithm. Even considering various impact factors of steady state and transient state, this algorithm is able to avoid the subjectivity affecting the evaluation results for power assessment index weight, ensuring the fairness of the assessment. The results show that this algorithm is much more effective than the fuzzy comprehensive evaluation method in differentiating the level of power quality, and thus to ensure the fairness of evaluation results.

About this research paper

What this paper is about

It is the direction of the future development of the electricity market to assess power quality and determine the tariff in accordance with the power quality. This paper established attribute recognition theoretical model, and determined the weight of each evaluation index of power quality based on Analytic Hierarchy Process (AHP) algorithm, and proposed the comprehensive assessment of power quality based on attribute recognition theory and AHP algorithm. Even considering various impact factors of steady state and transient state, this algorithm is able to avoid the subjectivity affecting the evaluation results for power assessment index weight, ensuring the fairness of the assessment. The results show that this algorithm is much more effective than the fuzzy comprehensive evaluation method in differentiating the level of power quality, and thus to ensure the fairness of evaluation results.

Why it matters

OpenAlex reports 7 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

It is the direction of the future development of the electricity market to assess power quality and determine the tariff in accordance with the power quality. This paper established attribute recognition theoretical model, and determined the weight of each evaluation index of power quality based on Analytic Hierarchy Process (AHP) algorithm, and proposed the comprehensive assessment of power quality based on attribute recognition theory and AHP algorithm. Even considering various impact factors of steady state and transient state, this algorithm is able to avoid the subjectivity affecting the evaluation results for power assessment index weight, ensuring the fairness of the assessment. The results show that this algorithm is much more effective than the fuzzy comprehensive evaluation method in differentiating the level of power quality, and thus to ensure the fairness of evaluation results.

Key concepts: Analytic hierarchy process, Fuzzy logic, Quality (philosophy), Computer science, Algorithm, Reliability engineering, Data mining, Index (typography)

Related papers

Related paper 1Related paper 2Related paper 3
Back to paper searchBrowse research topicsOriginal source
The Comprehensive Assessment of Power Quality Based on Attribute Recognition Theory and AHP Algorithm — Research Paper | ScholarLens