Hierarchical Optimization of Electric Vehicle System Charging Plan Based on the Scheduling Priority

2019 ◽  
Vol 28 (13) ◽  
pp. 1950221
Author(s):  
Feng Ni ◽  
Linfang Yan ◽  
Ke Wu ◽  
Mengxuan Shi ◽  
Jianyu Zhou ◽  
...  
Keyword(s):  
Evaluation System ◽  
Comprehensive Evaluation ◽  
Hierarchical Optimization ◽  
Entropy Weight ◽  
Entropy Weight Method ◽  
Weight Method ◽  
Comprehensive Evaluation System ◽  
Interval Ratio ◽  
Ev Charging ◽  
Charging Strategy

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.

scholarly journals Study on Development Sustainability of Atmospheric Environment in Northeast China by Rough Set and Entropy Weight Method

2019 ◽  
Vol 11 (14) ◽  
pp. 3793 ◽  
Author(s):  
Yuangang Li ◽  
Maohua Sun ◽  
Guanghui Yuan ◽  
Qi Zhou ◽  
Jinyue Liu
Keyword(s):  
Rough Set ◽  
Northeast China ◽  
Evaluation System ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Atmospheric Environment ◽  
Entropy Weight ◽  
Entropy Weight Method ◽  
Weight Method ◽  
Environment Sustainability

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.

The Environmental Performance Evaluation of a Silicon Production Enterprise Based on Fuzzy Comprehensive Evaluation and Entropy Weight Method

2012 ◽  
Vol 573-574 ◽  
pp. 245-250 ◽  
Author(s):  
Fang Wen Yang ◽  
Si Si Guo ◽  
Yan Wang
Keyword(s):  
Environmental Performance ◽  
Evaluation System ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Entropy Weight ◽  
Silicon Production ◽  
Comprehensive Evaluation Method ◽  
Entropy Weight Method ◽  
Weight Method

This paper designs a comprehensive evaluation system of environmental performance fitting for the silicon production enterprise, and uses the entropy and fuzzy comprehensive evaluation method to assess and analyze the environmental performance of a silicon production enterprise A. Finally we find that A’s environmental performance is worse, and then on put forward some suggestions that may help to improve the enterprise’s environmental performance.

scholarly journals Application of TOPSIS Method Based on Entropy Weight -Delphi in the Evaluation of Teachers’ “double-qualified” Ability

2020 ◽  
Vol 165 ◽  
pp. 06050
Author(s):  
Weixia Wang ◽  
He Jun
Keyword(s):  
Evaluation System ◽  
Evaluation Model ◽  
Topsis Method ◽  
Entropy Weight ◽  
Chinese Library Classification ◽  
Evaluation Indexes ◽  
Energy Evaluation ◽  
Entropy Weight Method ◽  
Weight Method ◽  
Index Weight

In order to improve the rationality and fairness of Teachers’ “Double-qualified” Ability, the article establishes an evaluation model based on 14 evaluation indexes of teachers’ “double-qualified” ability. it adopts Delphi - entropy weight method to weight the evaluation index, and then combines TOPSIS method to evaluate the evaluation object. In the evaluation of TOPSIS method, the traditional TOPSIS weight method was improved, and the entropy weight-delphi method was used to determine the index weight, which was a combination of subjective and objective, making the evaluation system more objective, scientific and reasonable.It not only avoids the subjectivity of decision makers and limitations, but also eliminates the phenomenon of indexes in common impact assessment results and finally applies it to a university teacher “Double division and triple energy” evaluation system, to provide theoretical basis and feasibility analysis for the “double type” teachers team construction. Chinese library classification number: O224 Document identification code: A

Sign in / Sign up

Export Citation Format

Share Document