scholarly journals Research on the Evaluation Model of Investment Benefits of Major Power Transmission and Transformation Projects Based on BWM and TOPSIS Methods

2020 ◽  
Vol 218 ◽  
pp. 01045
Author(s):  
Xin Tian ◽  
Jun Zhang ◽  
Xiaoling Jin
Keyword(s):  
Evaluation System ◽  
Large Scale ◽  
Optimal Allocation ◽  
Power Transmission ◽  
Evaluation Model ◽  
Indicator System ◽  
Engineering Project ◽  
Major Power ◽  
Complete Evaluation ◽  
Benefit Evaluation

Transmission and transformation project is the foundation of power grid construction, the development of large-scale transmission projects can not only realize the optimal allocation of resources, but also improve the overall efficiency of power transmission. This paper takes the investment benefit of major power transmission and transformation project as the research object, and explores its complete evaluation system in depth. According to the characteristics of various types of projects, an evaluation indicator system has been built to meet all kinds of major power transmission and transformation projects. Considering the differences in the focus of evaluation indicators of different projects, the paper puts forward an indicator evaluation idea based on BWM method (Best-Worst Method) and TOPSIS method (Technique for Order Preference by Similarity to Ideal Solution Method), so as to establish an investment benefit evaluation model applicable to various power transmission and transformation projects. Finally, the paper verifies the above investment benefit evaluation model through the actual engineering project, and the evaluation process and results show the practicality and superiority of the model.

scholarly journals A Fuzzy-ANP Approach for Comprehensive Benefit Evaluation of Grid-Side Commercial Storage Project

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 1129
Author(s):  
Huijia Yang ◽  
Weiguang Fan ◽  
Guangyu Qin ◽  
Zhenyu Zhao
Keyword(s):  
Energy Storage ◽  
Evaluation System ◽  
Large Scale ◽  
Stable Operation ◽  
Low Carbon ◽  
Profit Model ◽  
Benefit Evaluation ◽  
Comprehensive Benefit ◽  
Grid Side ◽  
Business Mode

With the increasing demand for clean and low-carbon energy, high proportion of renewable energy has been integrated into the receiving-end grid. The grid-side energy storage project can ensure the safe and stable operation of the grid, but it still faces many problems, such as high initial investment, difficult operation and maintenance, unclear profit model, lack of business mode. Therefore, it is of great significance to evaluate the comprehensive benefit of energy storage projects in order to guide the sustainable development of large-scale energy storage projects and power system. By studying the technical and economic characteristics of energy storage, this paper establishes a comprehensive evaluation system from four dimensions of energy efficiency, economic, social, and environmental benefit. Combined with typical business modes and determining the subdivision index system of different modes, the comprehensive benefit evaluation model of grid-side commercial storage project based on Fuzzy-Analytic Network Process (ANP) approach is established. Empirical analysis of a 100-megawatt storage project is carried out to evaluate the project benefits comprehensively, the potential problems of the market development and business mode of the grid-side large-scale storage project are discussed, and the future development orientation and suggestions are put forward.

scholarly journals Real-time evaluation of compaction quality based on RF- ACGWO with high robustness and generalization ability

2021 ◽  
Vol 9 ◽  
Author(s):  
Weiwei Lin ◽  
◽  
Bo Cui ◽  
Jiajun Wang ◽  
Dong Kang ◽  
...  
Keyword(s):  
Real Time ◽  
Large Scale ◽  
Prediction Models ◽  
Evaluation Model ◽  
Real Life ◽  
Three Dimensions ◽  
Engineering Project ◽  
Practical Evaluation ◽  
Project Site ◽  
Time Evaluation

The effective evaluation of compaction quality is a key issue for the safety of earth-rock dams. However, existing prediction models of compaction quality are designed to improve prediction accuracy but generally ignore generalizability and robustness, resulting in deviations from practical evaluation results, making these models inapplicable to complex construction environments. To address these problems, a novel real-time evaluation model for construction unit compaction quality based on random forest optimized by adaptive chaos grey wolf algorithm (RF-ACGWO) is proposed in this article. In RF-ACGWO, RF predicts compaction quality, while ACGWO increases efficiency and accuracy for traditional RF parameter selection and improves the generalizability and robustness of the model. Also, meteorological factors at a project site are also considered to affect the model, thereby improving model accuracy. After embedding the proposed method in a Three-Dimensions (3D) rolling monitoring system, real-time evaluation, guidance and feedback on a project site can be obtained. Compared to the conventional evaluation methods, RF-ACGWO achieves the highest accuracy of 0.838, the best generalizability of 0.793 and the most stable robustness when applied to a large-scale, real-life hydraulic engineering project.

scholarly journals Evaluation of reservoir management modernization under the concept of coordinated development

2020 ◽  
Vol 20 (8) ◽  
pp. 3697-3706
Author(s):  
Da-jin Yu ◽  
Zhengwei Zou ◽  
Jin Li
Keyword(s):  
Evaluation System ◽  
Large Scale ◽  
Evaluation Model ◽  
Reservoir Management ◽  
Middle Level ◽  
Jiangxi Province ◽  
Fuzzy Evaluation ◽  
Economic Management ◽  
Coordinated Development ◽  
Factors Affecting

Abstract The modernization of reservoir management is of great significance to the coordinated development of the region. There are many factors affecting the modernization of reservoir management, and there is a certain degree of ambiguity, randomness and uncertainty among the factors. It is difficult to evaluate the modernization of reservoir management comprehensively by traditional methods. This study first studies the connotation of reservoir management modernization under the concept of coordinated development; that is, securitization, economization, scientificalization and greenization. On this basis, a modernization evaluation system and AHP-Fuzzy evaluation model for reservoir management are constructed. Then, an empirical study is conducted with six large reservoirs in Jiangxi Province of China. The results show that the modernization level of large-scale reservoir management in Jiangxi Province is generally above the middle level, and the economic management and engineering management level of some reservoirs is relatively low, resulting in a low scientific and economic level of reservoir management, which is a key factor restricting the process of reservoir management modernization.

A New Evaluation Approach to Mechanical Kinematic Concept Using Fuzzy Neural Network

2011 ◽  
Vol 421 ◽  
pp. 666-669 ◽  
Author(s):  
Jian De Wu
Keyword(s):  
Neural Network ◽  
Evaluation System ◽  
Function Analysis ◽  
Evaluation Model ◽  
Indicator System ◽  
Bp Network ◽  
Evaluation Indicator ◽  
Evaluation Approach ◽  
Fuzzy Neural ◽  
Attribute Value

In this paper, BP network is applied to structure multi-level evaluation model to implement evaluation for the kinematic concepts acquired by function analysis. Under this approach, the best concept can be selected once evaluation indicators of each candidate are fuzzily quantified, converted into evaluation attribute value, and fed into the trained network model. During the process, neural network is used to solve the bottle-neck problem of knowledge acquiring and expression, which can be viewed as knowledge base and reasoning engine for the evaluation. At the same time, it is effective in solving the problem of weight distribution in evaluation indicator system. Fuzzy logic is used to achieve the fuzzy quantization for the attribute value of evaluation indicator in evaluation system, which can be used as the I/O value for neural network.

scholarly journals Do You Ever Get Off Track in a Conversation? The Conversational System’s Anatomy and Evaluation Metrics

Knowledge ◽  
2022 ◽  
Vol 2 (1) ◽  
pp. 55-87
Author(s):  
Sargam Yadav ◽  
Abhishek Kaushik
Keyword(s):  
Evaluation System ◽  
System Development ◽  
Evaluation Model ◽  
Data Gathering ◽  
Evaluation Metrics ◽  
Conversational Agents ◽  
Complete Evaluation ◽  
Dialog Systems ◽  
Evaluation Approach ◽  
Automated Evaluation

Conversational systems are now applicable to almost every business domain. Evaluation is an important step in the creation of dialog systems so that they may be readily tested and prototyped. There is no universally agreed upon metric for evaluating all dialog systems. Human evaluation, which is not computerized, is now the most effective and complete evaluation approach. Data gathering and analysis are evaluation activities that need human intervention. In this work, we address the many types of dialog systems and the assessment methods that may be used with them. The benefits and drawbacks of each sort of evaluation approach are also explored, which could better help us understand the expectations associated with developing an automated evaluation system. The objective of this study is to investigate conversational agents, their design approaches and evaluation metrics. This approach can help us to better understand the overall process of dialog system development, and future possibilities to enhance user experience. Because human assessment is costly and time consuming, we emphasize the need of having a generally recognized and automated evaluation model for conversational systems, which may significantly minimize the amount of time required for analysis.

scholarly journals Comprehensive evaluation of loess collapsibility of oil and gas pipeline based on cloud theory

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Xiaohui Liu ◽  
Manyin Zhang ◽  
Zhizhong Sun ◽  
Huyuan Zhang ◽  
Yimin Zhang
Keyword(s):  
Evaluation System ◽  
Oil And Gas ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Golden Section ◽  
Evaluation Process ◽  
Gas Pipeline ◽  
Scoring Method ◽  
Complete Evaluation ◽  
Cloud Theory

AbstractThe comprehensive evaluation of pipeline loess collapsibility risk is a necessary means to control the safety risks of pipelines in the collapsible loess section. It is also one of the critical scientific bases for risk prevention, control, and management. The comprehensive evaluation system of cloud theory consists of quantitative and qualitative indexes, and the evaluation system has the characteristics of randomness and fuzziness. In view of this problem, the standard qualitative and semi-quantitative evaluation methods have intense subjectivity in dealing with the uncertainty problems such as randomness and fuzziness of the system, the cloud theory, which can effectively reflect the randomness and fuzziness of things at the same time, is introduced. The state scale cloud and index importance weight cloud of pipeline loess collapse risk are constructed by the golden section method. The uncertainty cloud reasoning process of the quantitative indexes and the expert scoring method of the qualitative indexes are proposed. The comprehensive evaluation model of loess collapsibility risk of oil and gas pipeline is established, and the engineering example is analyzed. The complete evaluation results of 10 samples to be evaluated are consistent with the results of the semi-quantitative method and are compatible with the actual situation. The evaluation process softens the subjective division of index boundary, simplifies the preprocessing of index data, realizes the organic integration of quantitative and qualitative decisions, and improves the accuracy, rationality, and visualization of the results.

scholarly journals Evaluation of College English Teaching Quality Based on Grey Clustering Analysis

2021 ◽  
Vol 16 (02) ◽  
pp. 173
Author(s):  
Haiyuan Liu ◽  
Rui Chen ◽  
Shuting Cao ◽  
Haiping Lv
Keyword(s):  
Clustering Analysis ◽  
Evaluation System ◽  
Evaluation Model ◽  
Teaching Quality ◽  
Entropy Weight ◽  
Complete Evaluation ◽  
Factors Affecting ◽  
College English ◽  
English Teaching ◽  
Grey Clustering

Currently, there are two main problems with the evaluation of college English teaching quality: the lack of a complete evaluation system, and the limited quantification of evaluation indices. To solve the problems, this paper sums up the evaluation contents of college English teaching quality, and identifies the factors affecting the teaching quality of college English. On this basis, an improved evaluation system was established for the assessment of college English teaching quality, which is theoretically innovative. Next, grey clustering analysis and entropy weight method were combined into a robust evaluation model for college English teaching quality. This research provides a new and applicable solution to quantification of college English teaching quality.

Efficiency Evaluation Model of Power Transmission & Transformation Project Investment Based on AHP-Fuzzy Method

2013 ◽  
Vol 732-733 ◽  
pp. 1303-1307 ◽  
Author(s):  
Gui Shen Tian ◽  
Ji Cheng Liu ◽  
Jing Jing Zhou ◽  
Jun Li Liu ◽  
Bing Li
Keyword(s):  
Evaluation Method ◽  
Power Transmission ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Fuzzy Comprehensive Evaluation ◽  
Indicator System ◽  
Efficiency Evaluation ◽  
Fuzzy Evaluation ◽  
Evaluation Result ◽  
Evaluation Matrix

This article builds an efficiency evaluation model. Using AHP method, an evaluation indicator system is established, and the weights of the indicators are calculated. This paper applies Fuzzy Evaluation method to determine the membership function of qualitative and quantitative indicators, and then synthesizes the indicator weights and the evaluation matrix to get the fuzzy comprehensive evaluation result. Finally, a case of a certain power transmission & transformation project is studied, and the comprehensive evaluation result of its economic benefit is moderate.

scholarly journals Transnational Power Grid Interconnection Potential Evaluation Model and Empirical Research

2019 ◽  
Vol 118 ◽  
pp. 02033
Author(s):  
Lin Liu ◽  
Ning Zhang ◽  
Yongfang Jian
Keyword(s):  
Evaluation System ◽  
Evaluation Model ◽  
Complete Evaluation ◽  
Investment Environment ◽  
Environmental Evaluation ◽  
Coverage Analysis ◽  
Belt And Road ◽  
The Empirical Analysis ◽  
Grid Interconnection ◽  
The Belt And Road

The paper sets up the two-tier screening evaluation model of potential of transnational grid interconnection that includes the mutual complementation potential model and environmental evaluation model. This two-tier screening evaluation model introduces quantitative index and applies it to the full coverage analysis and calculation of the countries along the “Belt and Road”. The combination of qualitative and quantitative analysis forms a complete evaluation system from interconnection potential calculation to electricity investment environment. The empirical analysis demonstrates the effectiveness of two-tier screening evaluation model where the analysis result may serve as the scientific reference of promoting grid interconnection of the countries along the “Belt and Road”.

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