Long-Term Multi-Objective Optimization Dispatch and its Evaluation in Wind Integrated Power Systems

2013 ◽  
Vol 732-733 ◽  
pp. 1033-1037 ◽  
Author(s):  
Ke Wang ◽  
Da Hai You ◽  
Kai Pan

With energy saving and emission reduction paid more and more attention in electric power industry, long-term optimization dispatch in wind-integrated power system must take into consideration many inconsistent factors. In this paper on the basis of comprehensive consideration of coal consumption, emissions, openness and impartiality, a long-term multi-objective fuzzy optimization dispatch model is established. The model can optimize jointly generation maintenance scheduling, unit commitment and power output. After piecewise linearization of the objectives and the constraints, the optimization model is converted to a mixed integer linear programming (MILP) problem. An efficient optimization software CPLEX is employed to solve the problem. In order to analyze and compare different generation scheduling, a series of indices and fuzzy comprehensive evaluation method are utilized to evaluate the optimal results obtained. The proposed model is tested in IEEE 118-bus system incorporating three wind farms. The results show that the optimization model and the evaluation system built are effective and feasible.

2013 ◽  
Vol 303-306 ◽  
pp. 1452-1455 ◽  
Author(s):  
Shu Wen Sun ◽  
Yu Wen Zhai

According to the subjectivity, randomness and fatigue of the satisfaction selection of online teaching evaluation indicators for the students, the level of teachers teaching can not truly measure by the evaluation results. This paper introduces the fuzzy comprehensive evaluation method to deal with the evaluation data, and Practice has proved that this method produced results more equitable to reflect on teaching level. Which help teachers to promptly improve and improve teaching, the variable quality of teaching time control for process control, change the static management for dynamic management.


2012 ◽  
Vol 452-453 ◽  
pp. 726-730
Author(s):  
Yao Wu Wei

ERP (Enterprise Resource Planning) is a kind of advanced management method and ideological system, which is an effective tool to improve operating efficiency. In reference to the domestic and foreign relevant research results, this paper attempts to find a set of evaluation index system and method, which is suitable for small and medium-sized enterprises in China implementing ERP system performance evaluation according to characteristics. Then use AHP to determine each index weight and evaluate comprehensively ERP implementation performance of small and medium-sized enterprise employing the fuzzy comprehensive evaluation method. This can provide ERP project methodological guidance and help enterprise to carry out the scientific decision, improve the success rate of ERP implementation, and promote the process of ERP in our country popularity.


2012 ◽  
Vol 573-574 ◽  
pp. 734-739 ◽  
Author(s):  
Rui Min Ma ◽  
Li Fei Yao ◽  
Rong Huang

This paper first introduces research about green supply chain management, and points out the differences between green supply chain management and traditional supply chain management according to the characteristics of green supply chain. Then, the paper analyses the sources of risk in green supply chain management fundamentally and constructs a risk evaluation system owing to the classification of sources. Finally paper makes a quantitative analysis to the risk of green supply chain with the fuzzy comprehensive evaluation method.


2014 ◽  
Vol 962-965 ◽  
pp. 3010-3015 ◽  
Author(s):  
Ning Zhang ◽  
Zhi Gang Zhang

The evaluation object is defined more reasonable. This paper establishes the student evaluation system by scientific questionnaire firstly, then determines the index weights by using AHP, thirdly quantifies the qualitative indexes according to the fuzzy comprehensive evaluation method. Finally we get each student’s score of the student evaluation system. Aiming at freshmen and sophomore , the student evaluation system can objectively reflect the students' comprehensive quality and have a guiding significance for improving the students' comprehensive quality.


2012 ◽  
Vol 482-484 ◽  
pp. 2390-2395
Author(s):  
De Qiang Li

In the paper, we establish an evaluation system in the study of four aspects such as people, regulation, equipment and technology management, field management and engineering construction. We present an entropy weight multi-level fuzzy comprehensive evaluation model in power plant security on the basis of reliability identification. Firstly, it identifies the reliability of power plant security evaluation system. Secondly, it can meet the condition that the system is reliable. Then it obtains the indicator weight of all levels in the evaluation system by the entropy weight method. Finally, it carries out a comprehensive evaluation in power plant security by the multi-level fuzzy evaluation method.


2014 ◽  
Vol 1037 ◽  
pp. 532-535
Author(s):  
Li Zhen Du ◽  
De Xin Tao ◽  
Lian Qing Yu

According to the definition of integrated supply chain performance, improved method of grey relational evaluation and multi-level dynamic fuzzy comprehensive evaluation method are adopted to comprehensively evaluate the overall performance of the integrated supply chain. Based on these, the Performance Evaluation System (PES) of the integrated supply chain is developed on MATLAB software platform. In the end, the validity and feasibility of the system is validated by an example, and the system can provide a convenient operation tool and scientific, objective decision basis for managers to evaluate the integrated supply chain performance.


PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0256026
Author(s):  
Ling Shen ◽  
Guoxun Jing ◽  
Qiang Zeng

An online evaluation method of coal mine comprehensive level based on Fuzzy Comprehensive Evaluation method (FCE) is proposed. Firstly, following the principles of fairness, systematicness and hierarchy, taking research and development, production, sales, finance, safety and management as the first level indicators, a set of multi-level evaluation indicator system of coal mine comprehensive level combining objective and subjective evaluation indicators is established. Secondly, according to the characteristics of the indicator system, the specific process of FCE of coal mine comprehensive level is given. Then, taking SQL Server as the database management system and C#.NET as the development language, a set of B/S structure online evaluation system of coal mine comprehensive level based on FCE is designed and developed. Finally, the proposed method is applied to Coal group PM for test. The application shows that the method proposed can provide an efficient and convenient online evaluation platform to evaluate the comprehensive level of coal mines for the Coal group, and the horizontal and longitudinal comparison of the evaluation results can urge the coal mines to maintain their advantages and avoid their disadvantages, which is of some significance for improving the overall competitiveness of the Coal group.


Author(s):  
Guanglin Ding ◽  
ZhiJun Yang ◽  
Tao Wang

Abstract: At present, China's construction industry professionals are mainly migrant workers, the industry is characterized by population, fluidity big, poor living environment, workers' quality is generally not high, is a typical prone to the spread of the disease, as a result, public health and epidemic prevention work of the construction industry is an urgent need to pay attention to the problem.Based on field research, this paper adopts brainstorm method to construct the index of public health epidemic prevention system of construction projects.Through the establishment of the binary fuzzy analytic hierarchy process, the weight parameters of each epidemic prevention index are given.Then by using the fuzzy comprehensive evaluation method and the designed two-point evaluation standard, the public health epidemic prevention ability evaluation system of the construction industry is constructed.Finally, the rationality and accuracy of the evaluation system are verified by the application analysis of specific engineering examples. The results show that the constructed public health epidemic prevention system has good applicability and can accurately and objectively reflect the public health epidemic prevention ability of the project department.


Water ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 3206
Author(s):  
Víctor Cuevas-Velásquez ◽  
Alvaro Sordo-Ward ◽  
Jaime H. García-Palacios ◽  
Paola Bianucci ◽  
Luis Garrote

This paper presents a real-time flood control model for dams with gate-controlled spillways that brings together the advantages of an optimization model based on mixed integer linear programming (MILP) and a case-based learning scheme using Bayesian Networks (BNets). A BNet model was designed to reproduce the causal relationship between inflows, outflows and reservoir storage. The model was trained with synthetic events generated with the use of the MILP model. The BNet model produces a probabilistic description of recommended dam outflows over a time horizon of 1 to 5 h for the Talave reservoir in Spain. The results of implementing the BNet recommendation were compared against the results obtained while applying two conventional models: the MILP model, which assumes full knowledge of the inflow hydrograph, and the Volumetric Evaluation Method (VEM), a method widely used in Spain that works in real-time, but without any knowledge of future inflows. In order to compare the results of the three methods, the global risk index (Ir) was computed for each method, based on the simulated behavior for an ensemble of hydrograph inflows. The Ir values associated to the 2 h-forecast BNet model are lower than those obtained for VEM, which suggests improvement over standard practice. In conclusion, the BNet arises as a suitable and efficient model to support dam operators for the decision making process during flood events.


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