Comprehensive Evaluation System of Voltage Sag Based on Combination of Improved Analytic Hierarchy Process and Entropy Weight Method

Author(s):  
Jun Zhang ◽  
Tianyu Pu ◽  
Guojiang Zhang ◽  
Feifei Bu ◽  
Shuangwei Li
2014 ◽  
Vol 551 ◽  
pp. 722-726
Author(s):  
Xin Cao

In order to evaluate coaches, this paper established the model of comprehensive evaluation based on analytic hierarchy process (AHP). Firstly, I establish the hierarchical structure of the system; Secondly, for researching the influence of time line horizon in analysis, I divided coaches into several groups by their career time and calculated the weights of indicators of each group using entropy weight method; Finally, calculate the weight between the criteria layer and objective layer. Female coach data is difficult to find, so I select 100 college basketball male coach data. Put the data into model and get a score. The score showed the final result which can give us a sort of reasonable coach list. This model can reduce the influence of different time periods for evaluation of the coach.


2019 ◽  
Vol 9 (18) ◽  
pp. 3843 ◽  
Author(s):  
Zhao ◽  
Wang

The comprehensive evaluation of AC/DC hybrid microgrid planning can provide reference for the planning of AC/DC hybrid microgrids. This is conducive to the realization of reasonable and effective microgrid planning. Aiming at comprehensive evaluation of AC/DC hybrid microgrids, this paper establishes an evaluation index system for planning of AC/DC hybrid microgrids. This paper combines the subjective evaluation method with the objective evaluation method, and proposes a comprehensive evaluation method of AC/DC hybrid microgrid planning based on analytic hierarchy process and the entropy weight method. Finally, the validity and rationality of the evaluation method are verified by an example.


2019 ◽  
Vol 28 (13) ◽  
pp. 1950221
Author(s):  
Feng Ni ◽  
Linfang Yan ◽  
Ke Wu ◽  
Mengxuan Shi ◽  
Jianyu Zhou ◽  
...  

Unregulated charging of a large number of electric vehicles (EVs) simultaneously may cause electricity shortages and price spikes in the power market. This paper deals with the optimization of EV charging strategy using the priority sequence. Firstly, the evaluation indices such as the schedulable interval ratio, the emergency probability and the battery losses are proposed. Then a comprehensive evaluation system for the EV scheduling priority is established by adopting the entropy weight method to incorporate multiple indices. Based on the scheduling priority obtained, a double-hierarchical optimal model is proposed, taking into account the constraints such as the demand of the EV owner. Its upper objective aims to minimize the sum of the square of deviation between the actual and the required schedulable capacity of EV aggregator over every interval. The lower one minimizes the sum of EV scheduling priority sequence over the scheduling interval. Case studies with 100 EVs show that the hierarchical optimization model can assist EV aggregator in making effective charging scheme. It is also observed that better flexibility for dispatching EVs can be achieved using multiple indices with weights.


2013 ◽  
Vol 742 ◽  
pp. 497-500
Author(s):  
Meng Lin Xu ◽  
De Shen Zhao

Based on actual measurement data in Da Ping as the samples,according to the experience, and ends with calculate every factors weight and height prediction of the water conducted zone by Matlab using the combination entropy-weight method and analytic hierarchy process. this paper introduces a comprehensive prediction model consisting of analytic hierarchy process and combination entropy-weight method. The method,overcoming weights imbalance,gives the evaluation result better than does the single analytic hierarchy process, it is a new valid method for scientific forecast on water conducted zone.


Geofluids ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
J. Wang ◽  
B. Hu ◽  
J. Chang ◽  
W. P. Wang ◽  
H. L. Li

The implementation of green mining (GM) can improve the quality of economic growth. Based on uncertainty measurement theory (UMT), we aim to develop a reasonable method of green mining (GM) evaluation for building material (BM) mines via comparative analysis. At first, establish UMT evaluating model for GM. The linear uncertainty (LU) measurement function was employed to solve single indicator measure values. Then, based on the entropy weight method (EWM), the analytic hierarchy process (AHP) and a method that couples AHP and EWM (EWM-AHP), and the weights of the evaluating indicator were determined. At last, based on UMT, a total of 6 coupled methods are developed to evaluate the GM grades. The GM grades of two building material mines in China were evaluated by applying the 6 methods. Future suggestions were given to the enterprises to improve the GM grades. According to the actual situations of GM in the two building material (BM) mines, it can be speculated that UMT-EWM-AHP-CDRT is the most reasonable method. The reasonable method can not only evaluate the GM grades for BM but also provide guidance to the development of GM for BM.


2019 ◽  
Vol 11 (14) ◽  
pp. 3793 ◽  
Author(s):  
Yuangang Li ◽  
Maohua Sun ◽  
Guanghui Yuan ◽  
Qi Zhou ◽  
Jinyue Liu

In order to evaluate the atmospheric environment sustainability in the provinces of Northeast China, this paper has constructed a comprehensive evaluation model based on the rough set and entropy weight methods. This paper first constructs a Pressure-State-Response (PSR) model with a pressure layer, state layer and response layer, as well as an atmospheric environment evaluation system consisting of 17 indicators. Then, this paper obtains the weight of different indicators by using the rough set method and conducts equal-width discrete analysis and clustering analysis by using SPSS software. This paper has found that different discrete methods will end up with different reduction sets and multiple indicators sharing the same weight. Therefore, this paper has further introduced the entropy weight method based on the weight solution determined by rough sets and solved the attribute reduction sets of different layers by using the Rosetta software. Finally, this paper has further proved the rationality of this evaluation model for atmospheric environment sustainability by comparing the results with those of the entropy weight method alone and those of the rough set method alone. The results show that the sustainability level of the atmospheric environment in Northeast China provinces has first improved, and then worsened, with the atmospheric environment sustainability level reaching the highest level of 0.9275 in 2014, while dropping to the lowest level of 0.6027 in 2017. Therefore, future efforts should focus on reducing the pressure layer and expanding the response layer. Based on analysis of the above evaluation results, this paper has further offered recommendations and solutions for the improvement of atmospheric environment sustainability in the three provinces of Northeast China.


2011 ◽  
Vol 183-185 ◽  
pp. 1486-1490
Author(s):  
Qian Qian Dai ◽  
Jun Liang Liu ◽  
Tie Jian Zhang

The evaluation system of water environment security is improved by using fuzzy analytic hierarchy process (FAHP) in determining weights of various factors of the system. First, priority judgment matrix is FAHP uses three-scale method to construct and then fuzzy consistency judgment matrix is obtained. It overcomes many shortcomings of traditional AHP, such as the difficulty to scale when assigning weights, the need to conduct consistency testing, a large amount of calculation and low accuracy of calculation. It is effective and reasonable in the evaluation of water environment security.


2022 ◽  
Vol 355 ◽  
pp. 02026
Author(s):  
Xuanhang Wang ◽  
Zhijian Liang

Relatively independent evaluation parameters are selected from many parameters through pedigree clustering.Learning the analytic hierarchy process (ahp) and entropy weight method can determine the weight, and at the same time to understand the error of the analytic hierarchy process (ahp) and entropy weight method is large, so the combination of the subjective and objective weight obtained by the two methods, using the improved entropy weight-ahp method to determine the weight. The improved weight calculation method has a clear hierarchical structure, which not only considers the influence of subjective and objective factors, but also makes full use of the weight information in the hierarchical structure. Considering the uncertainty of information, gray relation is adopted to deal with the data, so as to make maintenance rules.


2019 ◽  
Vol 9 (14) ◽  
pp. 2871
Author(s):  
Guopeng Zhao ◽  
Jiaxing Liu ◽  
Siyuan Liu ◽  
Xinwei Zhou ◽  
Jihong Li ◽  
...  

With the aim of improving the consumption capacity of distributed generation (DG) in the distribution network, the control strategy of the flexible multi-state switch (FMSS) for the maximum consumption of distributed generation is proposed. The principle that FMSS improves the consumption capacity of distributed generation is analyzed and verified by simulation. The estimating method for the maximum accessible capacity of distributed generation at the access point is proposed. For complex systems, the multi-objective function for maximizing the consumption of distributed generation was established, and the analytic hierarchy process and entropy weight method were combined to obtain the weight factor. Then, combined with system constraints, the results can be obtained by optimization algorithms. Finally, the control strategy of FMSS for maximum consumption of distributed generation was realized and verified in a simulation.


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