本文選題：能效電廠 + 節(jié)電潛力　； 參考：《華北電力大學》2014年碩士論文

【摘要】：近幾年來,世界能源危機日漸凸顯,各國環(huán)境保護的壓力與日俱增。電能作為重要的二次能源,電力工業(yè)的可持續(xù)發(fā)展已成為社會各界關注的重點問題。面對用電量逐步攀升帶來的電力發(fā)展壓力,我國在加強新能源電源建設的同時,逐步認識到在用戶側實施電力需求側管理工作的重要性。 電力需求側管理包含有廣泛的內容,其中一項重要的內容為鼓勵和促進用戶進行節(jié)能減排的工作。然而用戶側的節(jié)能減排存在著用戶類型繁多,節(jié)電措施各異且不易運作的問題。能效電廠概念的提出解決了這個問題,能效電廠項目是用戶側實現(xiàn)節(jié)能減排的一種先進的管理技術,它將多種節(jié)電改造措施組合起來運作,這樣可以有效地分散節(jié)電措施的實施風險,同時對由多種改造措施組成的項目整體進行有效地管理。但用戶在進行能效電廠改造時,所涉及的改造措施量大面廣,如何發(fā)現(xiàn)自身的節(jié)電潛力并選取合適的改造項目是用戶進行能效電廠改造時面臨的重要問題。 論文主要研究能效電廠項目的節(jié)電潛力優(yōu)化問題。首先,論文基于能效電廠改造工作普遍缺乏規(guī)劃的問題制定了節(jié)電潛力分析流程,并對流程各個模塊的具體內容進行了闡述,節(jié)電潛力分析流程可以幫助用戶更加系統(tǒng)地安排能效電廠改造的相關工作,并最大程度地挖掘用戶的節(jié)電潛力。其次,論文在節(jié)電潛力分析流程的基礎上,建立了節(jié)電量潛力優(yōu)化模型和移峰填谷潛力優(yōu)化模型,通過這兩個模型可以定量地計算出能效電廠項目在一定資金投入下的節(jié)電潛力的最優(yōu)值。 本文在綜合考慮兩種模型應用特點的基礎上,分別選取粒子群算法和灰色綜合聚類決策法實現(xiàn)對模型的求解。算例分析表明,本文模型能夠幫助用戶進行相關的節(jié)電規(guī)劃并充分地挖掘自身的節(jié)電潛力,從而更有針對性地進行能效改造。
[Abstract]:In recent years, the world energy crisis has become increasingly prominent, the pressure of environmental protection is increasing. As an important secondary energy, the sustainable development of electric power industry has become the focus of attention. In the face of the pressure of electric power development brought by the increasing consumption of electricity, our country, while strengthening the construction of new energy sources, gradually realized the importance of implementing the power demand side management on the user side. DSM includes a wide range of contents, one of which is to encourage and promote energy conservation and emission reduction. However, there are many problems in energy saving and emission reduction on the user side, such as various types of users, different measures of saving electricity and not easy to operate. The concept of energy efficiency power plant solves this problem. The energy efficiency power plant project is an advanced management technology to realize energy saving and emission reduction on the user side. In this way, the implementation risk of power saving measures can be effectively dispersed, and the whole project composed of various retrofit measures can be managed effectively at the same time. However, the measures involved in the retrofit of energy efficiency power plants are large and extensive. How to find their own power saving potential and how to select the appropriate transformation projects are the important problems faced by the users in the retrofit of energy efficiency power plants. This paper mainly studies the optimization of energy saving potential of energy efficiency power plant project. First of all, based on the lack of planning in the retrofit of energy efficiency power plants, the paper formulates the analysis flow of power saving potential, and describes the specific contents of each module of the process. The power saving potential analysis process can help users to arrange the related work of energy efficiency power plant reconstruction more systematically and to maximize the potential of power saving. Secondly, based on the analysis flow of power saving potential, the optimization model of power saving potential and peak shift and valley potential optimization model are established. Through these two models, the optimal value of power saving potential of energy efficiency power plant projects can be calculated quantitatively. On the basis of considering the application characteristics of the two models, the particle swarm optimization algorithm and the grey comprehensive clustering decision method are selected to solve the model. The example analysis shows that the model can help the users to carry out the relevant power saving planning and fully tap their own energy saving potential, so that the energy efficiency reform can be carried out more pertinently.
【學位授予單位】：華北電力大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TM621

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本文編號：2102718