New Idea of Comprehensive Evaluation of Power Quality

2010 ◽  
Author(s):  
Ding Ze-jun ◽  
Zhu Yong-qiang ◽  
Xu Yu
Keyword(s):  
Power Quality ◽  
Comprehensive Evaluation

Research on Power Quality Evaluation Based on Matter-Element Extension Model

2013 ◽  
Vol 411-414 ◽  
pp. 2735-2741 ◽  
Author(s):  
Yong Hua Wang ◽  
Guo Liang Luo
Keyword(s):  
Power Quality ◽  
Power Supply ◽  
Analytical Hierarchy Process ◽  
Quality Evaluation ◽  
Comprehensive Evaluation ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Extension Model ◽  
Index Value ◽  
Hierarchy Process

Based on the matter-element extension model, this paper first builds a set of reasonable power quality evaluation index system, and then determines the index value through the analytical hierarchy process (AHP), and finally makes a comprehensive evaluation of power supply quality. With an example based on, this paper will prove the feasibility of matter-extension model supplied in power quality evaluation.

Comprehensive evaluation of power quality based on improved TOPSIS-RSR method

2021 ◽  
Author(s):  
Yuting Qiu ◽  
Zhufu Shen ◽  
Zhengda Shao ◽  
Jidong Shi ◽  
Lei Xie ◽  
...  
Keyword(s):  
Power Quality ◽  
Comprehensive Evaluation

Comprehensive Evaluation on Power Quality of Tidal Current Convertors

2019 ◽  
Vol 53 (3) ◽  
pp. 46-53
Author(s):  
Caixia Xue ◽  
Xiang-nan Wang ◽  
Ning Jia ◽  
Yuan-fei Zhang ◽  
Hai-nan Xia
Keyword(s):  
Power Generation ◽  
Support Vector Machine ◽  
Power Quality ◽  
Tidal Current ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Support Vector ◽  
Operational Data ◽  
Testing And Evaluation

AbstractWith the continuous development of testing and evaluation of tidal current convertors, power quality assessment is becoming more and more critical. According to the characteristics of Chinese tidal current power generation and power quality standards, this paper proposes a comprehensive evaluation method of power quality based on K-means clustering and a support vector machine. The fundamental purpose of the method is to automatically select the weights of various indicators in the comprehensive assessment of power quality, by which the influence of subjective factors can be eliminated. In order to achieve the above purpose, K-means clustering is used for automatically classifying the operational data into five different categories. Then, a support vector machine is used to study and estimate the relationship of the operational data and categories. Using the method proposed in the paper, the analysis of operational data of a tidal current power generation shows that calculation results can objectively reflect the power quality of the device, and the influence of subjective factors is eliminated. The method can provide a reference for the testing and evaluation of a large amount of tidal current convertors in the future.

RAGA-PPE Model for Power Quality Comprehensive Evaluation

2015 ◽  
Vol 8 (1) ◽  
pp. 211-217
Author(s):  
Yunjun Yu ◽  
Yuntao Xue ◽  
Chao Tong ◽  
Sui Peng ◽  
Jianbo Xin ◽  
...  
Keyword(s):  
Power Quality ◽  
Comprehensive Evaluation ◽  
Power Index ◽  
Evaluation Model ◽  
Target Function ◽  
Assessment Model ◽  
Three Dimensions ◽  
Multidimensional Data ◽  
Projection Direction ◽  
Optimal Projection

This paper proposes RAGA-PPE comprehensive assessment model specifically for high-dimensional index system issue in order to conduct comprehensive evaluation of the power quality of multi-index regional power grid from three dimensions of index, time and region through adjustment of time factor size. The model adopts PPE to convert power index of multidimensional data to lower-dimensional subspace and compress multiple power indexes to single power index for systematic comprehensive evaluation, which overcomes shortcomings such as influences of human and subjective factors and local optimization in conventional assessment methods. Improved RAGA based on real coding is used for optimization of target function to reduce optimization workload and search out the optimal projection direction rapidly. The optimal projection direction subject to optimization reflects the degree of importance of various power indexes for comprehensive evaluation of power quality. Examples prove that the evaluation model is simple in computation, good in applicability, and accurate and objective in evaluation result, providing a new method and thought for decision of comprehensive evaluation for power quality.

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