Study on evaluation indicator system of distribution network configuration scheme in different operation state

2014 ◽  
Author(s):  
Changkai Shi ◽  
Limei Zhang ◽  
Pengwei Cong ◽  
Wei Tang ◽  
Xiaohui Zhang ◽  
...  
Keyword(s):  
Distribution Network ◽  
Indicator System ◽  
Network Configuration ◽  
Evaluation Indicator ◽  
Evaluation Indicator System ◽  
Configuration Scheme

Improved TOPSIS method for power distribution network investment decision-making based on benefit evaluation indicator system

2017 ◽  
Vol 11 (4) ◽  
pp. 595-608 ◽  
Author(s):  
Dongxiao Niu ◽  
Zongyun Song ◽  
Meng Wang ◽  
Xinli Xiao
Keyword(s):  
Power Distribution ◽  
Investment Decision ◽  
Distribution Network ◽  
Indicator System ◽  
Topsis Method ◽  
Content Type ◽  
Evaluation Indicator ◽  
Investment Decision Making ◽  
Network Investment ◽  
Evaluation Indicator System

Purpose The aim of this paper is to review the current situation and existing problem, establish investment benefits evaluation indicator system and introduce synthetic approach degree containing Hamming approach degree, Euclid approach degree and gray correlation degree to improve the shortage of Euclidean distance in traditional TOPSIS method, and the evaluation result is strengthened by multiplication rule. This paper aims to solve the distribution network investment decision-making problem and construct a comprehensive distribution network investment benefit indicator system, which is more suitable for China distribution network characteristics. Design/methodology/approach This study develops improved TOPSIS methods for decision maker in the power distribution network market and uses an example to prove its effectiveness and superiority in practice which can realize the combination of theory and practice. Findings The research shows that the investment evaluation indicator system built in present paper covers more investment benefit influencing factors (such as qualified rate of trunk cross-section, pass rate of N-1 lines), and the evaluation result obtained by improved TOPSIS method is more efficient and persuasive. Originality/value The study can help investors evaluate distribution network project more efficient, and make contribution to the choice of distribution cases with similar investment benefits.

scholarly journals Evaluation of China’s Circular Agriculture Performance and Analysis of the Driving Factors

2021 ◽  
Vol 13 (4) ◽  
pp. 1643
Author(s):  
Biao Li ◽  
Yunting Feng ◽  
Xiqiang Xia ◽  
Mengjie Feng
Keyword(s):  
Rapid Development ◽  
Arable Land ◽  
Indicator System ◽  
Resource Scarcity ◽  
Entropy Method ◽  
Agricultural Industry ◽  
Evaluation Indicator ◽  
Evaluation Indicator System ◽  
Per Capita ◽  
The Government

Along with industry upgrading and urbanization, the agricultural industry in China has been experiencing a stage of rapid development, on the bright side. On the other side, ecological environment deterioration and resource scarcity have become prevalent. Called by the current situation, circular agriculture arises as a direction for the industry to achieve sustainable development. This study develops an evaluation indicator system for circular agriculture using an entropy method, and evaluates factors that could drive the Chinese agricultural industry to achieve better performance. We employ the method using provincial data collected from the province of Henan, in which around 10% of the total grain in China is produced. It was found that agricultural technology and water resources per capita are positively related to circular performance in agriculture. In contrast, urbanization and arable land per capita are negatively related to circular performance. This article provides support to the government in policy-making related to the improvement of circular agricultural performance.

scholarly journals Grading Evaluation of the Structural Connectivity of River System Networks Based on Ecological Functions, and a Case Study of the Baiyangdian Wetland, China

Water ◽  
2021 ◽  
Vol 13 (13) ◽  
pp. 1775
Author(s):  
Kai Tian ◽  
Xin-an Yin ◽  
Jie Bai ◽  
Wei Yang ◽  
Yan-wei Zhao
Keyword(s):  
Structural Connectivity ◽  
River System ◽  
Indicator System ◽  
Evaluation Methods ◽  
Ecological Functions ◽  
Wetland Ecosystems ◽  
Evaluation Indicator ◽  
Wetland Connectivity ◽  
Evaluation Indicator System ◽  
Baiyangdian Wetland

River system network (RSN) connectivity is important to maintain the environmental and ecological functions of wetlands. Quantitative evaluation of connectivity can provide crucial support for efforts to improve wetland connectivity and to restore and protect wetland ecosystems. Most existing evaluation methods uniformly generalise RSN to form an undifferentiated RSN of edges and nodes that is taken as a whole to evaluate the connectivity. However, actual RSNs comprise rivers, canals, ditches, lakes, and ponds, which differ substantially in their structures, morphologies, and attributes. The mix of RSN elements therefore defines grades that give RSNs distinctive characteristics. Moreover, RSNs with different grades perform different ranges of environmental and ecological functions. The existing evaluation methods, which have some limitations, do not account for these characteristics. To account for these differences, we examined the grade characteristics and their impact on environmental and ecological functions. We established a grading system of RSN elements and a grading method of RSN, and constructed the structural connectivity evaluation indicator system for RSNs at different grades. On this basis, we propose a method for grading evaluation of RSN connectivity. We used China’s Baiyangdian Wetland to demonstrate the use of the system and validate the results. The proposed method provided an objective and accurate evaluation of RSN connectivity and clarified the differences in connectivity among RSNs with different grades, thereby providing improved guidance for the development and maintenance of the environmental and ecological functions of RSNs.

scholarly journals Evaluation of Online Teaching Quality: An Extended Linguistic MAGDM Framework Based on Risk Preferences and Unknown Weight Information

Symmetry ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 192
Author(s):  
Hui Lin ◽  
Jianxin You ◽  
Tao Xu
Keyword(s):  
Online Teaching ◽  
Virus Disease ◽  
Risk Preferences ◽  
Teaching Quality ◽  
Indicator System ◽  
Partial Ranking ◽  
Evaluation Indicator ◽  
Linguistic Term ◽  
Evaluation Indicator System ◽  
Two Stages

Evaluation of online teaching quality has become an important issue because many universities are turning to online classes due to the Corona Virus Disease 2019 (COVID-19) pandemic. In this paper, online teaching quality evaluation is considered as a linguistic multi-attribute group decision-making (MAGDM) problem. Generally, the evaluation sematic information can be symmetrically or asymmetrically distributed in linguistic term sets. Thus, an extended linguistic MAGDM framework is proposed for evaluating online teaching quality. As the main contribution, the proposed method takes into account the risk preferences of assessment experts (AEs) and unknown weight information of attributes and sub-attributes. To be specific, the Delphi method is employed to establish a multi-level evaluation indicator system (EIS) of online teaching quality. Then, by introducing the group generalized linguistic term set (GLTS) with two risk preference parameters, a two-stage optimization model is developed to calculate the weights of attributes and sub-attributes objectively. Subsequently, the linguistic MAGDM framework was divided into two stages. The first stage maximizes the group comprehensive rating values of teachers on different attributes to obtain partial ranking results for teachers on each attribute. The latter stage maximizes the group comprehensive rating values of teachers to evaluate the overall quality. Finally, a case study is provided to illustrate how to apply the framework to evaluate online teaching quality.

scholarly journals Accessibility Evaluation Indicator System based on Potential-type Accessibility Index

2006 ◽  
Vol 23 ◽  
pp. 675-686
Author(s):  
Noriyasu KACHI ◽  
Takashi MINE ◽  
Hirokazu KATO ◽  
Shigeru OSHIMA ◽  
Yoshitsugu HAYASHI
Keyword(s):  
Indicator System ◽  
Evaluation Indicator ◽  
Potential Type ◽  
Accessibility Evaluation ◽  
Evaluation Indicator System

scholarly journals Research on InlandPort Facilities Adaptability Evaluation Indicator System

2017 ◽  
Vol 124 ◽  
pp. 05007
Author(s):  
Yaofeng Xie ◽  
Chenglin Liu ◽  
Suyang Gao ◽  
Yan Chen ◽  
Ning Jiang
Keyword(s):  
Indicator System ◽  
Evaluation Indicator ◽  
Evaluation Indicator System

scholarly journals Evaluation of Sustainability Information Disclosure Based on Entropy

Entropy ◽  
2018 ◽  
Vol 20 (9) ◽  
pp. 689 ◽  
Author(s):  
Ming Li ◽  
Jialin Wang ◽  
Ying Li ◽  
Yingcheng Xu
Keyword(s):  
Fuzzy Sets ◽  
Information Disclosure ◽  
Indicator System ◽  
Intuitionistic Fuzzy Sets ◽  
Evaluation Indicator ◽  
Object Weight ◽  
Evaluation Indicator System ◽  
The Subject ◽  
Evaluation Information

Disclosure of sustainability information is important for stockholders and governments. In order to evaluate the quality of sustainability information disclosure in heavily polluting industries, the quality of the disclosure is proposed to be evaluated from completeness, adequacy, relevance, reliability, normativeness and clarity aspects. The corresponding evaluation indicator system is constructed. Due to the ambiguity and complexity of the evaluation information, the intuitionistic fuzzy sets are applied to model the linguistic ratings. Entropy is used to derive the weight of experts, the object weight and the subject weight of the indicators. which are integrated when dealing with the evaluation information. The quality of sustainability information disclosure of seven representative companies in heavily polluting industries is evaluated. The importance of indicators and ranking of the companies are derived. Based on the evaluation results, the discussion and suggestions are also provided.

scholarly journals Evaluation of Energy Saving and Emission Reduction Effects for Electricity Retailers in China Based on Fuzzy Combination Weighting Method

2018 ◽  
Vol 8 (9) ◽  
pp. 1564 ◽  
Author(s):  
Si Li ◽  
Dongxiao Niu ◽  
Luofei Wu
Keyword(s):  
Energy Saving ◽  
Emission Reduction ◽  
Power Plants ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Indicator System ◽  
Global Perspective ◽  
Technical Equipment ◽  
Evaluation Indicator ◽  
Evaluation Indicator System

China’s electricity market is in the environment for a round of new electric power reform, energy planning and transformation and the carbon market construction. The current market players are in urgent need of implementing their own energy saving and emission reduction actions. Relatively extensive and systematic researches on the assessment of the energy saving and emission reduction effects for the power plants, power grid companies, and technical equipment have been carried out at home and abroad. However, there are still vacancies in the researches on those for electricity retailers emerged on the sales side. Based on the carding and analysis of related policies and guidance, in this paper, relevant indicators are considered to build the evaluation indicator system of the energy saving and emission reduction effects for electricity retailers. The combination weights are gained by means of analytic hierarchy process and entropy weight method. Then, after the combined empowerment of indicators, the multi-level fuzzy comprehensive evaluation of energy saving and emission reduction effects for electricity retailers is conducted. Finally, choosing 10 electricity retailers (numbered from A to J) as evaluation objects, this model is used for obtaining the evaluation results and ranking of energy saving and emission reduction effects of electricity retailers, which provides reasonable ideas for the construction of evaluation indicator system and effective comprehensive evaluation methods of energy saving and emission reduction effects for market players in the electricity sales side. The results of example analysis show that, from a single dimension, the best electricity retailers in market transactions, technical means, integrated energy services, management system, and social responsibilities are followed by B, J, D, G, C, or I. However, from a global perspective, the sorted evaluation results are D, J, I, A, H, G, E, B, F, and C, which reflects the overall energy saving and emission reduction effects of electricity retailers through the two-level fuzzy comprehensive evaluation.

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