基于低碳经济的节能发电调度运行效果评价研究
发布时间：2019-04-12 18:45
【摘要】：在低碳经济的背景下，电力行业实施节能发电调度工作对于提高我国电力工业能源使用效率，减少环境污染，建设低碳化社会，促进能源供应与电力结构调整起到很大的作用。节能发电调度是电力系统调度模式的重大改革，可以迫使高污染、高耗能的小机组逐步退出电力市场，加速电力产能的优胜劣汰。随着节能发电调度模式的逐步完善与广泛实施，必将推动我国电力行业向低碳、环保、安全、经济、和谐的方向发展。 在深入调查分析国内外节能发电调度模式研究概况的基础上，，分析了试点省份节能发电调度的运行效果；根据低碳经济的背景下我国节能发电调度模式的运行特性，从经济效果、社会效果和环境效果三个方面构建了基于低碳经济的节能发电调度运行效果评价指标体系；结合评价指标及样本数据的特点，建立了粒子群(PSO)优化BP神经网络的低碳经济下节能发电调度运行效果综合评价模型；通过对五个省份节能发电调度运行效果年度数据的实证分析，验证了所选方法的有效性，表明了PSO-BP神经网络评价模型对解决基于低碳经济的节能发电调度运行效果综合评价问题的实际应用价值；最后，根据评价结果，提出了改进节能发电调度运行效果的相关建议。 对基于低碳经济的节能发电调度运行效果问题进行综合评价，为低碳经济背景下实施节能发电调度评估工作提供了一种有效的思路，有利于节能发电调度模式的继续完善及进一步推广实施。
[Abstract]:Under the background of low-carbon economy, the implementation of energy-saving power generation dispatching in electric power industry plays a very important role in improving energy efficiency, reducing environmental pollution, building a low-carbon society, and promoting energy supply and power structure adjustment in China's electric power industry. Energy-saving generation dispatching is a major reform of the dispatching mode of power system, which can force small units with high pollution and energy consumption to step out of the power market and accelerate the survival of power production capacity. With the gradual improvement and wide implementation of the energy-saving power generation dispatching mode, China's electric power industry will be promoted to low-carbon, environmental protection, safety, economy and harmonious development. On the basis of in-depth investigation and analysis of the research situation of energy-saving power generation dispatching mode at home and abroad, the operating effect of energy-saving power generation dispatching in pilot provinces is analyzed. According to the operating characteristics of energy-saving power generation dispatching mode in China under the background of low-carbon economy, the evaluation index system based on low-carbon economy is constructed from three aspects: economic effect, social effect and environmental effect. Combined with the characteristics of evaluation index and sample data, a comprehensive evaluation model of energy-saving power generation dispatching effect under low-carbon economy based on particle swarm optimization BP neural network based on particle swarm optimization (PSO) was established. Through the empirical analysis of the annual data of the energy-saving power generation dispatching effect in five provinces, the effectiveness of the selected method is verified. It shows the practical application value of PSO-BP neural network evaluation model to solve the comprehensive evaluation problem of energy-saving power generation dispatching based on low-carbon economy. Finally, according to the evaluation results, some suggestions are put forward to improve the operation effect of energy-saving power generation dispatching. The comprehensive evaluation of the operation effect of energy-saving power generation dispatching based on low-carbon economy provides an effective thinking for the implementation of energy-saving power generation dispatching evaluation under the background of low-carbon economy. It is conducive to the continuous improvement of the energy-saving power generation dispatching mode and the further promotion and implementation.
【学位授予单位】：华北电力大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：F426.61
[Abstract]:Under the background of low-carbon economy, the implementation of energy-saving power generation dispatching in electric power industry plays a very important role in improving energy efficiency, reducing environmental pollution, building a low-carbon society, and promoting energy supply and power structure adjustment in China's electric power industry. Energy-saving generation dispatching is a major reform of the dispatching mode of power system, which can force small units with high pollution and energy consumption to step out of the power market and accelerate the survival of power production capacity. With the gradual improvement and wide implementation of the energy-saving power generation dispatching mode, China's electric power industry will be promoted to low-carbon, environmental protection, safety, economy and harmonious development. On the basis of in-depth investigation and analysis of the research situation of energy-saving power generation dispatching mode at home and abroad, the operating effect of energy-saving power generation dispatching in pilot provinces is analyzed. According to the operating characteristics of energy-saving power generation dispatching mode in China under the background of low-carbon economy, the evaluation index system based on low-carbon economy is constructed from three aspects: economic effect, social effect and environmental effect. Combined with the characteristics of evaluation index and sample data, a comprehensive evaluation model of energy-saving power generation dispatching effect under low-carbon economy based on particle swarm optimization BP neural network based on particle swarm optimization (PSO) was established. Through the empirical analysis of the annual data of the energy-saving power generation dispatching effect in five provinces, the effectiveness of the selected method is verified. It shows the practical application value of PSO-BP neural network evaluation model to solve the comprehensive evaluation problem of energy-saving power generation dispatching based on low-carbon economy. Finally, according to the evaluation results, some suggestions are put forward to improve the operation effect of energy-saving power generation dispatching. The comprehensive evaluation of the operation effect of energy-saving power generation dispatching based on low-carbon economy provides an effective thinking for the implementation of energy-saving power generation dispatching evaluation under the background of low-carbon economy. It is conducive to the continuous improvement of the energy-saving power generation dispatching mode and the further promotion and implementation.
【学位授予单位】：华北电力大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：F426.61
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