本文關(guān)鍵詞： 能源消費(fèi)總量 電力消費(fèi)量 控制目標(biāo)區(qū)域分解 信息熵 基尼系數(shù)　出處：《華北電力大學(xué)》2013年碩士論文　論文類型：學(xué)位論文

【摘要】：能源是經(jīng)濟(jì)社會(huì)發(fā)展的重要物質(zhì)基礎(chǔ)。改革開放以來(lái),我國(guó)能源工業(yè)飛速發(fā)展,而能源發(fā)展和資源、環(huán)境之間的矛盾也日益顯現(xiàn)。在能源供給日趨緊張、資源環(huán)境約束加劇的背景下,節(jié)能降耗、控制能源消費(fèi)總量是經(jīng)濟(jì)社會(huì)可持續(xù)發(fā)展的重要保障。能源消費(fèi)總量控制的手段主要包括市場(chǎng)手段和行政手段,將全國(guó)目標(biāo)分解到各省區(qū)是現(xiàn)階段我國(guó)實(shí)施能源消費(fèi)總量控制行之有效的行政手段,也是我國(guó)“十二五”規(guī)劃綱要確定的能源發(fā)展和改革任務(wù)之一。電力消費(fèi)是終端能源消費(fèi)的重要組成部分,控制電力消費(fèi)量可以間接實(shí)現(xiàn)控制能源消費(fèi)總量,科學(xué)合理的進(jìn)行電力消費(fèi)量控制目標(biāo)區(qū)域分解是實(shí)施電力消費(fèi)量控制的重要前提。 本文綜合考慮我國(guó)各地區(qū)的經(jīng)濟(jì)社會(huì)發(fā)展的差異,建立了體現(xiàn)公平性并具有可操作性的電力消費(fèi)量區(qū)域分解方案。首先,本文介紹了電力消費(fèi)量區(qū)域分解的原則,分析了電力消費(fèi)量影響因素,并根據(jù)影響因素選擇表征指標(biāo),確立了電力消費(fèi)量區(qū)域分解的指標(biāo)體系；其次,本文將熵值法和基于時(shí)間維度的動(dòng)態(tài)分析方法引入模型,構(gòu)建了基于信息熵的電力消費(fèi)量區(qū)域分解模型,同時(shí)以當(dāng)前電力消費(fèi)量為初始分配,應(yīng)用基尼系數(shù)優(yōu)化調(diào)整等方法建立了基于基尼系數(shù)法的電力消費(fèi)量區(qū)域分解模型；最后,本文對(duì)兩種電力消費(fèi)量區(qū)域分解模型進(jìn)行了算例分析,將“十二五”末全國(guó)電力消費(fèi)量控制目標(biāo)分解至各地區(qū),并比較分析兩種方法的差異性和適用性,結(jié)果表明基于信息熵的分解法在反映不同地區(qū)差異性方面更具優(yōu)勢(shì),更適合在現(xiàn)階段我國(guó)各地區(qū)經(jīng)濟(jì)社會(huì)發(fā)展差異較大的情況下應(yīng)用。
[Abstract]:Energy is an important material foundation for economic and social development. Since the reform and opening up, the energy industry in China has developed rapidly, and the contradiction between energy development, resources and environment has become increasingly apparent. Under the background of intensified resource and environmental constraints, energy conservation and consumption reduction, energy consumption control is an important guarantee for sustainable economic and social development. The means of total energy consumption control mainly include market means and administrative means. It is an effective administrative means for our country to implement the total energy consumption control at the present stage by breaking down the national goals to the provinces and regions. It is also the energy development and reform Ren Wuzhi defined in the outline of China's 12th Five-Year Plan. Electricity consumption is an important part of the end energy consumption, and the control of electricity consumption can indirectly control the total energy consumption. Scientific and reasonable decomposition of power consumption control target area is an important prerequisite for the implementation of power consumption control. Considering the differences of economic and social development in various regions of China, this paper establishes a scheme of regional decomposition of electricity consumption which embodies fairness and is operable. Firstly, this paper introduces the principle of regional decomposition of electricity consumption. The influencing factors of electricity consumption are analyzed, and the index system of power consumption area decomposition is established according to the choice of representative index. Secondly, the entropy method and the dynamic analysis method based on time dimension are introduced into the model. A regional decomposition model of electricity consumption based on information entropy is constructed. At the same time, with the current electricity consumption as the initial distribution, the Gini coefficient optimization adjustment method is used to establish the regional decomposition model of electricity consumption based on the Gini coefficient method. Finally, In this paper, two regional decomposition models of electric power consumption are analyzed, and the national power consumption control target is decomposed into different regions at the end of the 12th Five-Year Plan, and the difference and applicability of the two methods are compared and analyzed. The results show that the decomposition method based on information entropy has more advantages in reflecting the differences of different regions, and is more suitable for application in the present situation where the economic and social development of different regions in China is quite different.
【學(xué)位授予單位】：華北電力大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2013
【分類號(hào)】：F426.61

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 黃德中;能源的綠色評(píng)價(jià)指標(biāo)體系探討[J];電站系統(tǒng)工程;2003年04期

2 安海忠;陳芙蓉;雷涯鄰;;能源資源國(guó)際合作環(huán)境評(píng)價(jià)指標(biāo)體系的設(shè)計(jì)[J];改革與戰(zhàn)略;2007年11期

3 克u;黃芳;;新疆電力消費(fèi)量發(fā)展現(xiàn)狀與影響因素分析[J];黑龍江對(duì)外經(jīng)貿(mào);2010年07期

4 蔡鑫磊;;我國(guó)能源消費(fèi)與GDP的關(guān)系——基于時(shí)間序列的實(shí)證分析[J];經(jīng)濟(jì)問(wèn)題;2010年05期

5 韓亞芬;孫根年;李琦;;中國(guó)經(jīng)濟(jì)發(fā)展和能源消耗的統(tǒng)計(jì)關(guān)系與節(jié)能潛力分析[J];開發(fā)研究;2007年02期

6 丁樂群;翟繪景;何青;黃萍力;;單位GDP能耗的分解模型及其分析[J];能源研究與信息;2007年03期

7 鄒秀萍;陳劭鋒;寧淼;劉揚(yáng);;中國(guó)省級(jí)區(qū)域碳排放影響因素的實(shí)證分析[J];生態(tài)經(jīng)濟(jì);2009年03期

8 閆文周,顧連勝;熵權(quán)決策法在工程評(píng)標(biāo)中的應(yīng)用[J];西安建筑科技大學(xué)學(xué)報(bào)(自然科學(xué)版);2004年01期

9 李亮;吳瑞明;;消除評(píng)價(jià)指標(biāo)相關(guān)性的權(quán)值計(jì)算方法[J];系統(tǒng)管理學(xué)報(bào);2009年02期

10 徐祥發(fā),肖人彬;評(píng)價(jià)指標(biāo)相關(guān)性的消除方法研究[J];系統(tǒng)工程理論與實(shí)踐;2002年11期

相關(guān)博士學(xué)位論文 前1條

1 董戰(zhàn)峰;國(guó)家水污染物排放總量分配方法研究[D];南京大學(xué);2010年

相關(guān)碩士學(xué)位論文 前4條

1 楊洪晶;中國(guó)產(chǎn)業(yè)結(jié)構(gòu)變動(dòng)對(duì)能源消費(fèi)影響的研究[D];遼寧大學(xué);2011年

2 吳麗君;重慶市“十二五”SO_2總量分配方法的研究[D];重慶大學(xué);2011年

3 王紅波;甘肅省單位GDP能耗降低指標(biāo)的分解方法探析[D];西北師范大學(xué);2009年

4 邱俊永;基尼系數(shù)法在黃河中上游流域水污染物總量分配中的應(yīng)用研究[D];江蘇大學(xué);2010年

，

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