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考虑大气污染物扩散时空特性的煤电机群发电调度及配煤协调优化 被引量:8

Coal-fired Power Generation Dispatch and Coal Blending Coordinated Optimization Considering the Spatiotemporal Characteristics of Atmospheric Pollutants Diffusion
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摘要 燃煤发电的污染物排放加重了近煤电区域空气质量的劣化,亟需在发电生产过程中针对煤电气载污染物浓度进行控制。深入分析煤电气载污染物扩散能力随不同气象条件的变化特征,基于源荷空间布局与时变的风速风向条件,采用高斯烟羽模型描述燃煤污染物扩散浓度的时空分布;提出考虑大气污染物扩散特性的煤电机群协调发电与配煤优化模型,将煤电发电调度和配煤优化问题协同建模,以较低的运行成本代价获得环境效益有效改善。IEEE 14节点系统的算例结果验证了所述模型与方法的有效性。 Pollutant emissions from coal-fired power generation aggravate the deterioration of air quality in areas near coal-fired power, and it is urgent to control the concentration of coal-borne pollutants during power generation. In this paper, the characteristics of the coal-borne pollutants diffusion capacity with different meteorological conditions were analyzed in depth. Based on the spatial distribution of source and load and the time-varying wind speed and wind direction conditions, Gaussian plume model was used to describe the spatiotemporal distribution of the concentration of coal-borne pollutants;The coal-fired power generations coordinated power generation and coal blending optimization model that takes into account the characteristics of atmospheric pollutants diffusion, co-models coal power generation scheduling and coal blending optimization issues, and obtains effective improvement in environmental benefits at a lower operating cost. The results of an IEEE 14-node system verified the effectiveness of the proposed model and method.
作者 娄素华 杨印浩 吴耀武 马龙飞 宋锐 LOU Suhua;YANG Yinhao;WU Yaowu;MA Longfei;SONG Rui(State Key Laboratory of Advanced Electromagnetic Engineering and Technology(Huazhong University of Science and Technology),Wuhan 430074,Hubei Province,China;State Grid Qinghai Electric Power Company Electric Power Research Institute,Xining 810008,Qinghai Province,China)
出处 《中国电机工程学报》 EI CSCD 北大核心 2020年第21期6956-6963,共8页 Proceedings of the CSEE
基金 国家自然科学基金项目(51677076) 国家重点研发计划项目(2017YFB0902200) 国家电网公司科技项目(5228001700CW)。
关键词 燃煤发电 大气污染物 高斯烟羽模型 气象条件 大气环境质量 配煤优化 coal-fired power generation atmospheric pollutants Gaussian plume model meteorological conditions atmospheric environmental quality coal blending optimization
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