【摘要】：隨著經(jīng)濟(jì)的快速發(fā)展,化石燃料資源迅速枯竭,生態(tài)遭到了破壞,人類的生存環(huán)境受到了前所未有的威脅。目前針對可再生能源和電動汽車的研究,被認(rèn)為是解決當(dāng)前能源危機(jī)和環(huán)境污染的有效途徑,是未來智能電網(wǎng)的重點(diǎn)發(fā)展方向,受到了越來越多的關(guān)注。將風(fēng)光互補(bǔ)發(fā)電項(xiàng)目與電動汽車充換電站作為一個(gè)有機(jī)整體,并將其選址對電力系統(tǒng)和交通網(wǎng)絡(luò)的影響進(jìn)行綜合系統(tǒng)的考慮,不但可以有效降低電動汽車隨機(jī)充電對電力系統(tǒng)帶來的沖擊,而且有助于風(fēng)光互補(bǔ)發(fā)電的就地消納,減少其出力波動性帶來的危害。然而目前的研究文獻(xiàn)對于大型充換電站入網(wǎng)下的風(fēng)光互補(bǔ)發(fā)電項(xiàng)目優(yōu)化選址的研究還沒有形成一個(gè)完善的體系,對于風(fēng)光互補(bǔ)發(fā)電項(xiàng)目選址實(shí)踐很難起到指導(dǎo)作用,有必要對其進(jìn)行更為系統(tǒng)的研究。本文首先進(jìn)行了大量的文獻(xiàn)查閱和資料收集,對當(dāng)前風(fēng)光互補(bǔ)發(fā)電項(xiàng)目以及大型充換電站的研究現(xiàn)狀進(jìn)行了分析,為本文所進(jìn)行的研究提供了理論支撐。在此基礎(chǔ)之上,本文采用文獻(xiàn)統(tǒng)計(jì)法對傳統(tǒng)風(fēng)能和太陽能發(fā)電項(xiàng)目選址指標(biāo)進(jìn)行了統(tǒng)計(jì)分析和篩選,然后分析了大型充換電站入網(wǎng)對風(fēng)光互補(bǔ)發(fā)電項(xiàng)目選址的影響,重新建立起一套系統(tǒng)的、以大型充換電站入網(wǎng)為特征的風(fēng)光互補(bǔ)發(fā)電項(xiàng)目選址指標(biāo)體系。隨后,本文構(gòu)建了不確定語言環(huán)境下的風(fēng)光互補(bǔ)發(fā)電項(xiàng)目選址模型,在分析各指標(biāo)相互影響關(guān)系的基礎(chǔ)上,利用ANP方法得到各指標(biāo)權(quán)重,并采用云模型與PROMETHEE相結(jié)合的方法,對不確定語言信息進(jìn)行轉(zhuǎn)化并排序,為風(fēng)光互補(bǔ)發(fā)電項(xiàng)目的優(yōu)化選址提供了更加可靠的依據(jù)。最后,為了驗(yàn)證該模型在實(shí)際應(yīng)用中的可行性和有效性,本文進(jìn)行了算例分析,運(yùn)用上述選址指標(biāo)體系和決策模型對上海市風(fēng)光互補(bǔ)發(fā)電項(xiàng)目的選址進(jìn)行了決策,并對所得結(jié)果進(jìn)行了對比分析和敏感性分析。通過對比分析和敏感性分析,證明了本文所構(gòu)建的決策模型的優(yōu)越性和穩(wěn)定性。本文主要從如下各個(gè)方面進(jìn)行了相關(guān)理論和方法的創(chuàng)新研究。首先,本文建立起一套系統(tǒng)的、以大型充換電站入網(wǎng)為特征的風(fēng)光互補(bǔ)發(fā)電項(xiàng)目選址指標(biāo)體系。其次,本文創(chuàng)新性地將云模型與PROMETHEE方法相結(jié)合,構(gòu)建了風(fēng)光互補(bǔ)發(fā)電項(xiàng)目優(yōu)化選址決策模型,對不確定語言信息的模糊性和隨機(jī)性進(jìn)行了更加全面的描述。第三,本文通過對算例所得結(jié)果進(jìn)行對比分析和敏感性分析,說明了本文所提出決策模型的可行性和優(yōu)越性,為風(fēng)光互補(bǔ)發(fā)電項(xiàng)目選址提供了更加可靠的依據(jù)。
[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.
【學(xué)位授予單位】：華北電力大學(xué)(北京)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：F426.61

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