Research on Comprehensive Assessment Index System for Transmission Network Planning Alternatives

2014 ◽  
Vol 960-961 ◽  
pp. 1567-1574
Author(s):  
Yong Lin ◽  
Zuo Hong Li ◽  
Mei Ling Dong ◽  
Da Hai You ◽  
Gang Wang ◽  
...  

In view of the lack of comprehensive and quantitative evaluation means for transmission network planning currently, a comprehensive assessment index system adapted to the characteristics of the transmission network planning is proposed, including 6 strategic layer indices (safety and reliability, economic efficiency, flexibility and coordination, smart and green, controllable risk and social benefits), 16 target layer indices and 57 operating layer indices. And the assessment standard for each index is determined to provide objective, comprehensive and systematic evaluation of transmission network planning alternatives as well as prepare for realization of the comprehensive evaluation of transmission network planning.

2013 ◽  
Vol 860-863 ◽  
pp. 1901-1908
Author(s):  
Ying Wei Song ◽  
Jian Liu ◽  
Liao Yi Ning ◽  
Zhen Tao Han ◽  
Hong Liu ◽  
...  

According to key values and demands of smart distribution grids in China, a smart distribution grid comprehensive assessment index system and method is established. The index system is divided into the demand index set and assessment index set. As the former represents the macroscopic features while the latter represents the microscopic factors of the smart distribution grid. A causal connection exists between them. Also a hierarchical optimization model with combination weight, which is based on the DEMATEL-ANP-anti-entropy weight method and the improved Grey incidence approach, is proposed. The DEMATEL-ANP-anti-entropy weight method is used for demand indices weight analysis, while the improved Grey incidence approach is put forward for the evaluation on assessment indices. Results of applying the proposed method in practical case shows that the proposed method is valuable in following aspects: scientifically assessing the intelligent development level and effectiveness of distribution grid, analyzing and recognizing the grids operation condition and weak link, giving reference to planning and construction of smart distribution grid, and so on. Index Terms Smart distribution grid; comprehensive assessment; index system; combination weight; hierarchical optimization.


2013 ◽  
Vol 409-410 ◽  
pp. 89-93
Author(s):  
Yu Kun Liu ◽  
Xiao Ping Feng ◽  
Ying Ling Chen

Based on the concept of sustainable development, this paper focus on the study of evaluation index system of green university. The model of the assessment index system of green university was created based on Analysis Hierarchy Process. The Fuzzy Comprehensive Evaluation (FCE) was used for post project evaluation on Jiangnan University. The results show that Jiangnan University meets the criteria of green university, and the corresponding improvement suggestions were put forward aiming at its disadvantages.


Author(s):  
Ruzhen Luo ◽  
Chunmei Zhang ◽  
Yanhui Liu

In China, many young and middle-aged rural residents move to urban areas each year. The rural elderly are left behind. The number of the rural left-behind elderly is increasing with urbanization, but it is unclear which indicators can be used to assess their health condition. The health risk assessment index system was developed to improve the health level of the rural left-behind elderly. A two-round web-based Delphi process was used to organize the recommendations from fifteen Chinese experts in geriatrics, health management, social psychology who participated in this study. Meaningfulness, importance, modifiability, and comprehensive value of the health risk assessment indicators in the index system were evaluated. The effective recovery rates of the two-round Delphi were 86.67% and 92.31%, respectively. The judgement coefficient and the authority coefficient were 0.87 and 0.82, respectively. The expert familiarity was 0.76. Ultimately, the health risk assessment index system for the rural left-behind elderly consisted of five first-level indicators, thirteen second-level indicators, and sixty-six third-level indicators. The final indicators can be used to evaluate the health of the rural left-behind elderly and provide the basis for additional health risk interventions.


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