【摘要】：在煤炭資源供應日益緊張、煤炭價格上漲的嚴峻形勢下,加強挖掘燃煤火力發(fā)電機組的能耗特性,是實現(xiàn)機組節(jié)能運行的重要基礎,也是實現(xiàn)電力系統(tǒng)節(jié)能工作的一個重要方向,更是保障我國經(jīng)濟可持續(xù)發(fā)展的一個關(guān)鍵問題。因此,做好火電機組節(jié)能工作的基礎性研究具有重要意義。針對此課題,論文主要工作如下：首先,利用因子分析法降維的功能挖掘出影響機組能耗的重要指標。在火力發(fā)電機組的歷史運行數(shù)據(jù)的基礎上,選取一組盡可能反映機組運行狀態(tài)且與機組發(fā)電煤耗密切相關(guān)的參數(shù)。建立了機組能耗指標的公因子分析模型,并對所提取的公因子數(shù)目進行校驗,同時考慮因子分析法應用中經(jīng)常被忽略的特殊因子,通過特殊因子方差估計值大小去間接地判斷所提取的機組能耗公因子分析模型是否出現(xiàn)Heywood現(xiàn)象,進一步對所擬合出的能耗公因子模型的優(yōu)劣性進行定量判斷。為了更有清晰地描述原始變量與少數(shù)公因子之間的關(guān)系,通過回歸法計算因子得分,實現(xiàn)用少數(shù)公因子描述原始數(shù)據(jù)信息結(jié)構(gòu)的目的,達到了降維的目的。其次,在火電機組目標值挖掘過程中,利用數(shù)據(jù)挖掘技術(shù)中的加權(quán)模糊C均值聚類方法對機組能耗的重要運行可控參數(shù)進行目標值的求解。考慮到機組不同能耗指標的樣本點對分類的影響不盡相同,因而在機組參數(shù)挖掘的過程中不同屬性的指標對聚類的貢獻程度會有所差異,論文提出首先對機組的不同能耗指標賦予不同的權(quán)重,再進行目標值的挖掘,所挖掘出來的目標值更具合理性。最后,為了提高火電機組能耗評估的客觀性和科學性,論文提出利用層次分析法與熵權(quán)法相結(jié)合來確定機組能耗評估中各項指標的權(quán)重值,克服了單一賦權(quán)法的缺點,使權(quán)重的確定更為合理。在此基礎上,利用兩級模糊綜合評估方法對機組的能耗水平進行評估,同時對比主觀賦權(quán)(層次分析法)得到權(quán)重的兩級模糊綜合評估結(jié)果。實例分析表明：該評估方法得出的評估結(jié)果更加完善和準確,更符合火電機組能耗水平的實際情況。論文通過火電機組的實時工況進行分析,對機組的能耗特征進行提取,得到的分析結(jié)果與理論知識是相符合的,驗證了所提模型和問題分析思路的有效性和實用性,為實現(xiàn)火電機組的節(jié)能優(yōu)化運行和調(diào)整奠定了一定的基礎。
[Abstract]:Under the severe situation that the supply of coal resources is increasingly tight and the coal price is rising, it is an important foundation for realizing the energy-saving operation of the units to strengthen the excavation of the energy consumption characteristics of coal-fired generating units. It is also an important direction to realize the energy saving of power system and a key problem to ensure the sustainable development of our country's economy. Therefore, it is of great significance to do a good job of energy-saving work of thermal power units. The main work of this paper is as follows: firstly, the important indexes which affect the unit energy consumption are excavated by the function of reducing dimension by factor analysis method. On the basis of the historical operation data of thermal power generating units, a group of parameters which reflect the operating state of the units and which are closely related to the coal consumption of generating units are selected. The common factor analysis model of unit energy consumption index is established, and the number of common factors extracted is verified, and the special factors which are often neglected in the application of factor analysis are considered. The Heywood phenomenon is indirectly judged by the estimated value of the variance of special factors, and the advantages and disadvantages of the fitted common factor model of energy consumption are further quantitatively judged. In order to more clearly describe the relationship between the original variables and a few common factors, the purpose of describing the information structure of the raw data by using a few common factors is realized by calculating the factor scores by the regression method, and the purpose of reducing the dimension is achieved. Secondly, in the process of target value mining of thermal power units, the weighted fuzzy C-means clustering method in data mining technology is used to solve the target values of important operating controllable parameters of unit energy consumption. Considering that the sample points of different unit energy consumption indexes have different effects on classification, the contribution of different attribute indexes to clustering will be different in the process of unit parameter mining. The paper puts forward that the different energy consumption indexes of the unit are given different weights at first, and then the target value is excavated, and the target value is more reasonable. Finally, in order to improve the objectivity and scientific nature of energy consumption assessment of thermal power units, the paper proposes to use AHP and entropy weight method to determine the weight value of each index in unit energy consumption evaluation, which overcomes the shortcoming of single weighting method. Make the determination of weight more reasonable. On this basis, the two-stage fuzzy comprehensive evaluation method is used to evaluate the energy consumption level of the unit, and the weighted two-stage fuzzy comprehensive evaluation results are obtained by comparing the subjective weight (AHP). The analysis of examples shows that the evaluation results obtained by this method are more perfect and accurate, and more in line with the actual situation of energy consumption level of thermal power units. Through the analysis of the real time working conditions of thermal power units, the energy consumption characteristics of the units are extracted, and the results are in accordance with the theoretical knowledge. The validity and practicability of the proposed model and problem analysis ideas are verified. It lays a foundation for energy-saving optimization and adjustment of thermal power units.
【學位授予單位】：長沙理工大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TM621;TP311.13

【共引文獻】

相關(guān)期刊論文 前10條

1 羅鑫;雷秀兵;田黎;劉利君;潘冬梅;練德義;;世界衛(wèi)生組織艾滋病生存質(zhì)量簡表中文版應用于HIV/AIDS患者的信度和效度評價[J];傳染病信息;2014年05期

2 林治佳;韓學平;劉哲;;高原地區(qū)發(fā)酵床養(yǎng)豬育肥試驗與經(jīng)濟效益分析報告[J];山東畜牧獸醫(yī);2015年01期

3 賀靜;孫澤萍;謝煜;張華妮;;消費者有機果蔬購買行為及其影響因素分析——基于南京市居民的調(diào)查[J];北京林業(yè)大學學報(社會科學版);2015年03期

4 班戰(zhàn)軍;;種植密度對轉(zhuǎn)基因雜交抗蟲棉邯棉646產(chǎn)量及纖維品質(zhì)的影響[J];河北農(nóng)業(yè)科學;2014年03期

5 韓永亮;路正營;李世云;楊玉楓;崔紅印;;不同葉面肥對棉株結(jié)鈴性的影響研究[J];現(xiàn)代農(nóng)村科技;2014年04期

6 班戰(zhàn)軍;;播種前底施磷肥對轉(zhuǎn)基因雜交棉新品種邯6402產(chǎn)量及纖維品質(zhì)的影響[J];河北農(nóng)業(yè)科學;2014年04期

7 葉曉茵;孫銳;林春培;;國外商業(yè)模式創(chuàng)新研究的學術(shù)群類——作者共被引分析[J];科學學與科學技術(shù)管理;2014年11期

8 張玉娟;任愛民;韓秋成;馬衛(wèi)軍;尹國;崔明暉;;氯蟲苯甲酰胺對棉花棉鈴蟲的田間藥效[J];河北農(nóng)業(yè)科學;2014年06期

9 王凱旋;徐茂錦;徐曉璐;李兆申;;軍隊教學醫(yī)院教師教學積極性評價[J];解放軍醫(yī)院管理雜志;2014年10期

10 龐兆玲;潘立新;鄭向敏;;飯店服務參與者之服務質(zhì)量認知差距研究——以福建省高星級酒店為例[J];旅游研究;2014年04期

相關(guān)博士學位論文 前1條

1 呂薇;基于城市體系視角的中國城市土地利用變化研究[D];西南大學;2013年

相關(guān)碩士學位論文 前10條

1 胡月敏;社會資本視角下的中小企業(yè)社會責任與企業(yè)競爭力關(guān)系研究[D];石家莊經(jīng)濟學院;2012年

2 盧洋;有關(guān)影響服裝網(wǎng)絡購物行為信任因素的研究[D];大連工業(yè)大學;2012年

3 陳寧泊;浙江省中小板上市企業(yè)股權(quán)融資效率的影響因素研究[D];浙江理工大學;2014年

4 王睿;流通產(chǎn)業(yè)結(jié)構(gòu)變動中的就業(yè)吸納力研究[D];浙江工商大學;2013年

5 馬溢;南岸供電公司基層員工培訓效果影響因素研究[D];西南大學;2014年

6 孫鐿文;高校教師樂教激勵研究[D];西南大學;2014年

7 宋曉峰;威�？诎冻鋈刖橙藛T傳染病流行狀況調(diào)查[D];山東大學;2014年

8 秦朝軍;義務教育教師績效工資分配原則研究[D];首都師范大學;2014年

9 崔路路;甘藍種子前處理技術(shù)的研究[D];東北農(nóng)業(yè)大學;2014年

10 梁曉蘭;高校退休老人的希望、社會支持、生活質(zhì)量及其關(guān)系[D];廣西師范大學;2014年

，

本文編號：2230488