能效电厂项目的节电潜力分析

发布时间：2018-07-06 12:00

本文选题：能效电厂 + 节电潜力　；参考：《华北电力大学》2014年硕士论文

【摘要】：近几年来,世界能源危机日渐凸显,各国环境保护的压力与日俱增。电能作为重要的二次能源,电力工业的可持续发展已成为社会各界关注的重点问题。面对用电量逐步攀升带来的电力发展压力,我国在加强新能源电源建设的同时,逐步认识到在用户侧实施电力需求侧管理工作的重要性。电力需求侧管理包含有广泛的内容,其中一项重要的内容为鼓励和促进用户进行节能减排的工作。然而用户侧的节能减排存在着用户类型繁多,节电措施各异且不易运作的问题。能效电厂概念的提出解决了这个问题,能效电厂项目是用户侧实现节能减排的一种先进的管理技术,它将多种节电改造措施组合起来运作,这样可以有效地分散节电措施的实施风险,同时对由多种改造措施组成的项目整体进行有效地管理。但用户在进行能效电厂改造时,所涉及的改造措施量大面广,如何发现自身的节电潜力并选取合适的改造项目是用户进行能效电厂改造时面临的重要问题。论文主要研究能效电厂项目的节电潜力优化问题。首先,论文基于能效电厂改造工作普遍缺乏规划的问题制定了节电潜力分析流程,并对流程各个模块的具体内容进行了阐述,节电潜力分析流程可以帮助用户更加系统地安排能效电厂改造的相关工作,并最大程度地挖掘用户的节电潜力。其次,论文在节电潜力分析流程的基础上,建立了节电量潜力优化模型和移峰填谷潜力优化模型,通过这两个模型可以定量地计算出能效电厂项目在一定资金投入下的节电潜力的最优值。本文在综合考虑两种模型应用特点的基础上,分别选取粒子群算法和灰色综合聚类决策法实现对模型的求解。算例分析表明,本文模型能够帮助用户进行相关的节电规划并充分地挖掘自身的节电潜力,从而更有针对性地进行能效改造。
[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.
【学位授予单位】：华北电力大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM621

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