能源互联网背景下中国电力行业节能减排路径研究

发布时间：2018-03-11 19:41

本文选题：能源互联网　切入点：电力行业　出处：《华北电力大学》2016年硕士论文　论文类型：学位论文

【摘要】：能源互联网的概念是随着全球能源和气候问题这一实际情况被提出的,其骨干网架是特高压电网,基础平台是智能电网、输送内容是清洁能源,目的是实现能源输送、调度、供应的绿色化和智能化。电力行业一直以来贯彻都是创新、协调、绿色、开放的发展理念,自从能源互联网概念被提出后,“共享理念”也已成为电力行业的共识。首先,文章介绍了国内外学者们对电力行业节低碳发展、低碳路径研究和预测方法等文献的研究的现状。接着,文章详细地介绍了能源互联网相关理论、需求侧管理相关理论、常用预测方法及情景分析法的理论基础。文章第三部分从电源侧、需求侧和电网侧三个角度分析了我国电力行业的发展现状及面临的问题。文章第四部分利用利用相关分析研究了电源侧、需求侧和电网侧三个角度选择的影响我国电力行业碳排放的因素,并依据这些因素利用岭回归分析法构建了我国电力行业碳排放的预测模型,同时,利用1995-2000年的相关数据对我国电力行业碳排放的预测模型进行了仿真分析,并对预测效果进行了检验,检验结果表明本文构建的电力行业碳排放预测模型的估计是显著的。文章第五部分按照影响我国电力行业碳排放的因素,利用情景分析法设计了5条节能减排路径,即锁定路径、电源结构优化路径、需求侧优化路径、电网侧优化路径和综合优化路径,并利用层次分析法对5条路径进行了综合评价,选择出最优的我国电力行业发展是节能减排路径——综合优化路径。文章第六部分从电源侧、需求侧、电网侧三个角度分别提出了对应各个影响因素的政策建议,为保障我国电力行业节能减排最优路径的实现提供了相应的政策保障。文章第七部分对本课题的研究结论进行了总结和概括。
[Abstract]:The concept of energy Internet is put forward along with the global energy and climate problems. The backbone of the grid is UHV grid, the basic platform is smart grid, the content of transmission is clean energy, the purpose is to realize energy transmission and dispatch. The supply of green and intelligent. The electricity industry has been implementing innovation, coordination, green, open development concept, since the concept of energy Internet was proposed, "shared concept" has become a common understanding in the power industry. This paper introduces the current situation of domestic and foreign scholars' research on low-carbon development, low-carbon path research and prediction methods in power industry. Then, the paper introduces the related theories of energy Internet, demand side management, and so on. The theoretical basis of common prediction methods and scenario analysis. The third part of the article from the power side, This paper analyzes the current situation and problems of China's electric power industry from three angles of demand side and power side. Part 4th uses correlation analysis to study the power supply side. The factors that affect the carbon emission of power industry in China are selected from three angles of demand side and power grid side. According to these factors, the forecasting model of carbon emission of power industry in China is constructed by using ridge regression analysis method, and at the same time, Based on the relevant data from 1995 to 2000, the carbon emission prediction model of China's electric power industry is simulated and analyzed, and the effect of the prediction is tested. The test results show that the carbon emission prediction model constructed in this paper is significant. According to the factors affecting carbon emissions of power industry in China, in 5th, five energy saving and emission reduction paths are designed by scenario analysis. That is, lock path, power structure optimization path, demand side optimization path, grid side optimization path and integrated optimization path. Five paths are evaluated synthetically by using analytic hierarchy process (AHP). The optimal development of China's electric power industry is energy saving and emission reduction path-comprehensive optimization path. In 6th, the paper puts forward policy recommendations corresponding to each factor from three angles: power side, demand side and grid side, respectively. In order to guarantee the realization of the optimal path of energy saving and emission reduction in the electric power industry of our country, this paper provides the corresponding policy guarantee. Part 7th summarizes and generalizes the research conclusions of this subject.
【学位授予单位】：华北电力大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：X322;F426.61

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