新能源发电项目多维度评价方法体系研究
[Abstract]:Nowadays, fossil fuel consumption and environmental problems are becoming more and more serious, and the construction of new energy generation projects is in full swing. There is an urgent need for a set of objective and scientific evaluation methods to evaluate all aspects of the new energy generation project, find out the advantages and disadvantages of the project, sum up the experience and lessons, and put forward suggestions for the problems in the project operation and the decision of the new project in the future. At present, some achievements have been made in the research of new energy power generation project evaluation methods, but most of the studies have put forward a specific evaluation method for a new energy power station. The theoretical system of multi-objective comprehensive evaluation method with certain guiding principles has not yet been formed. Therefore, the paper establishes a "multi-dimensional evaluation method system" which combines the comprehensive evaluation method of "macro level" with the basic evaluation method of "micro level". On the macro level, according to the different characteristics of the four dimensions of technical performance, economic benefit, social impact and overall effect of the project, the variable weight grey cloud model, the data envelopment / assurance domain method, are adopted respectively. The method of fuzzy comprehensive evaluation of degree of success and the improved radar map method are used for comprehensive evaluation, and at the micro level, the comparative analysis method, the ratio analysis method and the factor replacement method are selected for the evaluation dimension of important indexes. The basic evaluation methods, such as curve fitting method, are further analyzed. The practicability and validity of the proposed evaluation method are verified by the evaluation examples of a wind power project in two operating periods. In addition, according to the characteristics of technical performance evaluation of new energy power generation project, the paper puts forward the evaluation method of variable weight grey cloud model to evaluate the technical performance. Aiming at the fixed form of grey clustering whitening weight function, the normal gray cloud model is used to replace the traditional whitening weight function, which effectively reflects the fuzziness and randomness of the evaluation grade information. In order to avoid the negative influence of the unqualified index being concealed, the "penalty type" state variable weight vector is introduced to revise the normal weight, and the unqualified index is punished. The evaluation results are compared with those of the grey relational analysis method. The rationality and superiority of variable weight are verified. The effectiveness of the above method is verified by comprehensive evaluation of four typical wind farms.
【学位授予单位】:华北电力大学(北京)
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:TM61
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