大型充换电站入网下的风光互补发电项目选址优化研究

发布时间：2018-12-05 21:47

【摘要】：随着经济的快速发展,化石燃料资源迅速枯竭,生态遭到了破坏,人类的生存环境受到了前所未有的威胁。目前针对可再生能源和电动汽车的研究,被认为是解决当前能源危机和环境污染的有效途径,是未来智能电网的重点发展方向,受到了越来越多的关注。将风光互补发电项目与电动汽车充换电站作为一个有机整体,并将其选址对电力系统和交通网络的影响进行综合系统的考虑,不但可以有效降低电动汽车随机充电对电力系统带来的冲击,而且有助于风光互补发电的就地消纳,减少其出力波动性带来的危害。然而目前的研究文献对于大型充换电站入网下的风光互补发电项目优化选址的研究还没有形成一个完善的体系,对于风光互补发电项目选址实践很难起到指导作用,有必要对其进行更为系统的研究。本文首先进行了大量的文献查阅和资料收集,对当前风光互补发电项目以及大型充换电站的研究现状进行了分析,为本文所进行的研究提供了理论支撑。在此基础之上,本文采用文献统计法对传统风能和太阳能发电项目选址指标进行了统计分析和筛选,然后分析了大型充换电站入网对风光互补发电项目选址的影响,重新建立起一套系统的、以大型充换电站入网为特征的风光互补发电项目选址指标体系。随后,本文构建了不确定语言环境下的风光互补发电项目选址模型,在分析各指标相互影响关系的基础上,利用ANP方法得到各指标权重,并采用云模型与PROMETHEE相结合的方法,对不确定语言信息进行转化并排序,为风光互补发电项目的优化选址提供了更加可靠的依据。最后,为了验证该模型在实际应用中的可行性和有效性,本文进行了算例分析,运用上述选址指标体系和决策模型对上海市风光互补发电项目的选址进行了决策,并对所得结果进行了对比分析和敏感性分析。通过对比分析和敏感性分析,证明了本文所构建的决策模型的优越性和稳定性。本文主要从如下各个方面进行了相关理论和方法的创新研究。首先,本文建立起一套系统的、以大型充换电站入网为特征的风光互补发电项目选址指标体系。其次,本文创新性地将云模型与PROMETHEE方法相结合,构建了风光互补发电项目优化选址决策模型,对不确定语言信息的模糊性和随机性进行了更加全面的描述。第三,本文通过对算例所得结果进行对比分析和敏感性分析,说明了本文所提出决策模型的可行性和优越性,为风光互补发电项目选址提供了更加可靠的依据。
[Abstract]:With the rapid development of economy, fossil fuel resources have been depleted rapidly, the ecology has been destroyed, and the human living environment has been threatened. At present, the research on renewable energy and electric vehicle is considered to be an effective way to solve the current energy crisis and environmental pollution, and it is the key development direction of smart grid in the future, which has received more and more attention. The project of wind and wind complementary power generation and electric vehicle replacement power station are considered as an organic whole, and the influence of site selection on power system and transportation network is considered. It not only can effectively reduce the impact of random charging of electric vehicles on the power system, but also can help the local absorption of wind and wind complementary power generation, and reduce the harm caused by the fluctuation of its output. However, the current research literature has not formed a perfect system for the research of the optimal location of the wind-wind complementary power generation project under the large-scale charging and changing power station network, and it is difficult to guide the practice of the location selection of the wind-wind complementary power generation project. It is necessary to study it more systematically. In this paper, a large number of literature and data collection are first carried out, and the current research status of wind and wind complementary power generation projects and large charge and exchange power stations is analyzed, which provides theoretical support for the research in this paper. On this basis, this paper uses the method of literature statistics to analyze and screen the traditional wind and solar power project location indicators, and then analyzes the impact of large-scale filling and changing power station network on the location of wind-to-wind complementary power generation project. A new system of location index system for wind-to-wind complementary power generation projects is established, which is characterized by large filling and changing power stations. Then, this paper constructs the location model of wind-wind complementary power generation project in uncertain language environment. Based on the analysis of the relationship between each index, the weight of each index is obtained by using ANP method, and the method of combining cloud model with PROMETHEE is adopted. The uncertain language information is transformed and sorted, which provides a more reliable basis for the optimization of the location of wind and wind complementary power generation projects. Finally, in order to verify the feasibility and effectiveness of the model in practical application, this paper carries out an example analysis, and makes a decision on the location of Shanghai wind complementary power generation project by using the above location index system and decision model. The results are analyzed by comparison and sensitivity analysis. Through comparative analysis and sensitivity analysis, the superiority and stability of the decision model constructed in this paper are proved. This article mainly carries on the related theory and the method innovation research from the following each aspect. First of all, this paper establishes a systematic selection index system for wind and wind complementary power generation projects, which is characterized by large filling and changing power stations. Secondly, this paper innovatively combines cloud model with PROMETHEE method to construct the optimal location decision model of wind-to-wind complementary power generation project, and describes the fuzziness and randomness of uncertain language information more comprehensively. Thirdly, the feasibility and superiority of the decision model proposed in this paper are illustrated by comparing and analyzing the results of the example, which provides a more reliable basis for the location of the wind-wind complementary power generation project.
【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】：2017
【分类号】：F426.61

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