本文選題：分散式風(fēng)電場　切入點(diǎn)：模糊層次分析法　出處：《東北大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

【摘要】：隨著風(fēng)電場建設(shè)的不斷開展,由于可開發(fā)風(fēng)電場所在的地形條件越來越復(fù)雜,而常規(guī)大型風(fēng)電場消納問題日益嚴(yán)重,分散式風(fēng)電場的建設(shè)逐步得到開展。其中風(fēng)電場宏觀選址作為分散式風(fēng)電場建設(shè)項(xiàng)目的前期工程,對風(fēng)電場效益及風(fēng)電場的成敗起著越來越重要的作用,受到越來越多的重視。本文首先介紹了分散式風(fēng)力發(fā)電的定義,優(yōu)勢和發(fā)展?fàn)顩r,并針對本文研究的問題介紹了分散式風(fēng)電場宏觀選址研究的現(xiàn)狀�？紤]到分散式風(fēng)電場與傳統(tǒng)大型風(fēng)電場選址時(shí)考慮因素的不同,本文給出了分散式風(fēng)電場宏觀選址評(píng)價(jià)指標(biāo)的選取原則,并對常用的宏觀選址評(píng)價(jià)指標(biāo)進(jìn)行了系統(tǒng)研究,以為分散式風(fēng)電場宏觀選址提供參考。介紹的評(píng)價(jià)指標(biāo)中,本文創(chuàng)新性的引進(jìn)了對社會(huì)環(huán)境產(chǎn)生影響的指標(biāo)：閃爍及光影影響指標(biāo)和噪聲影響指標(biāo),并給出了它們的計(jì)算方法。由于分散式風(fēng)電場宏觀選址各影響因素中,風(fēng)能資源因素最為重要,為此,本文對風(fēng)能資源進(jìn)行了評(píng)估研究�；诜稚⑹斤L(fēng)電場宏觀選址提出了一種風(fēng)能資源評(píng)估方法,并給出了風(fēng)能資源評(píng)估方法的系統(tǒng)結(jié)構(gòu)。該方法考慮粗糙度模型、地形模型等,以氣象站或者測風(fēng)塔處的風(fēng)數(shù)據(jù)為輸入數(shù)據(jù),以風(fēng)電場中指定位置處的風(fēng)數(shù)據(jù)為輸出數(shù)據(jù)。將該方法應(yīng)用于工程實(shí)例,驗(yàn)證了該方法的合理性和有效性。接著,本文根據(jù)分散式風(fēng)電場結(jié)構(gòu)比較復(fù)雜、影響因素較多且部分因素不易量化的特點(diǎn),在風(fēng)能資源評(píng)估結(jié)果的基礎(chǔ)上將模糊層次分析法應(yīng)用于分散式風(fēng)電場宏觀選址中。根據(jù)評(píng)價(jià)指標(biāo)選取原則選取風(fēng)能資源、閃爍及光影影響和噪聲影響等評(píng)價(jià)指標(biāo)。針對層次分析法的不足引進(jìn)了模糊層次分析法,并提出了實(shí)際數(shù)據(jù)處理方法。在其基礎(chǔ)上,將模糊層次分析法處理后的結(jié)果和實(shí)際數(shù)據(jù)處理后的結(jié)果整合,對多個(gè)備選風(fēng)電場場址進(jìn)行優(yōu)劣排序。將此方法應(yīng)用于工程實(shí)例,驗(yàn)證了該方法的合理性和有效性�？紤]到國外軟件在我們分散式風(fēng)電場中的不適用性,本文開發(fā)了一款基于VB.NET編程語言的分散式風(fēng)電選址軟件。該軟件包括風(fēng)能資源評(píng)估功能塊和宏觀選址功能塊等多個(gè)功能塊。最后,通過某風(fēng)電場的選址實(shí)例說明了風(fēng)能資源評(píng)估功能塊和宏觀選址功能塊的具體功能和操作流程,展示了該軟件的優(yōu)勢。
[Abstract]:With the continuous development of wind farm construction, the terrain conditions in which the wind farm can be developed are becoming more and more complex, and the problem of the absorption of conventional large-scale wind farms is becoming increasingly serious. The construction of decentralized wind farm has been carried out step by step. As a preliminary project of decentralized wind farm construction project, the macro location of wind farm plays an increasingly important role in the benefit of wind farm and the success or failure of wind farm. This paper first introduces the definition, advantages and development of decentralized wind power generation. The present situation of macroscopical location selection of decentralized wind farm is introduced, considering the difference between decentralized wind farm and traditional large-scale wind farm. In this paper, the selection principle of macroscopical site selection index of decentralized wind farm is given, and the commonly used macroscopical location evaluation index is studied systematically, which provides a reference for macroscopical location selection of decentralized wind farm. In this paper, the influence indexes of flicker, light and shadow and noise are introduced, and their calculation methods are given. Because of the influence factors of macroscopical location of decentralized wind farm, The wind energy resource is the most important factor. Therefore, the wind energy resource is evaluated and studied in this paper. Based on the macro location of decentralized wind farm, a wind energy resource evaluation method is proposed. The system structure of wind energy resource evaluation method is given. The roughness model and terrain model are considered in this method, and the wind data of weather station or wind tower are taken as input data. Taking the wind data at the specified position in the wind farm as the output data, the method is applied to an engineering example to verify the rationality and validity of the method. Then, according to the structure of the decentralized wind farm, the structure of the method is more complex. Based on the evaluation results of wind energy resources, fuzzy analytic hierarchy process (AHP) is applied to the macro location selection of decentralized wind farms, and wind energy resources are selected according to the selection principle of evaluation indexes. The fuzzy analytic hierarchy process (FAHP) is introduced for the deficiency of AHP, and the practical data processing method is put forward. The result of fuzzy analytic hierarchy process (AHP) is integrated with the result of actual data processing, and the advantages and disadvantages of several alternative wind farm sites are sorted. The method is applied to engineering examples. The rationality and validity of the method are verified. Considering the inapplicability of foreign software in our distributed wind farm, A distributed wind power location software based on VB.NET programming language is developed in this paper. The software includes wind energy resource evaluation function block and macro location function block. Finally, The specific function and operation flow of the wind energy resource evaluation function block and the macro location function block are illustrated by the site selection example of a wind farm, and the advantages of the software are shown.
【學(xué)位授予單位】：東北大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TM614

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本文編號(hào)：1601099