考虑大气污染物时空分布的综合能源系统环境经济调度策略

XIE Yilin; XU Ying; YI Zhongkai; ZHU Xuecheng; RONG Shuang

doi:10.7500/AEPS20240628005

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考虑大气污染物时空分布的综合能源系统环境经济调度策略

Basic Research | 更新时间：2025-06-16

- 考虑大气污染物时空分布的综合能源系统环境经济调度策略
- Automation of Electric Power Systems Vol. 49, Issue 8, Pages: 138-148(2025)
- 作者机构：
  
  1.哈尔滨工业大学电气工程及自动化学院，黑龙江省哈尔滨市 150001
  2.国网黑龙江省电力有限公司电力科学研究院，黑龙江省哈尔滨市 150030
- 作者简介：
- 基金信息：
  
  State Grid Corporation of China “Research on multi-time scale dispatch and control technology of new power system based on uncertainty theory”(5100-202399366A-2-2-ZB)
- DOI：10.7500/AEPS20240628005
  CLC：
- Received：28 June 2024，
  
  Revised：2024-11-03，
  
  Published Online：07 February 2025，
  
  Published：25 April 2025
- 稿件说明：
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谢依麟,徐英,仪忠凯等.考虑大气污染物时空分布的综合能源系统环境经济调度策略[J].电力系统自动化,2025,49(8):138-148.

XIE Yilin,XU Ying,YI Zhongkai,et al.Environmental-Economic Dispatch Strategy for Integrated Energy System Considering Spatial-Temporal Distribution of Air Pollutants[J].Automation of Electric Power Systems,2025,49(8):138-148.
谢依麟,徐英,仪忠凯等.考虑大气污染物时空分布的综合能源系统环境经济调度策略[J].电力系统自动化,2025,49(8):138-148. DOI： 10.7500/AEPS20240628005.

XIE Yilin,XU Ying,YI Zhongkai,et al.Environmental-Economic Dispatch Strategy for Integrated Energy System Considering Spatial-Temporal Distribution of Air Pollutants[J].Automation of Electric Power Systems,2025,49(8):138-148. DOI： 10.7500/AEPS20240628005.

摘要

准确有效的污染物排放控制模型是减轻综合能源系统对环境影响的关键。文中提出一种计及源荷不确定性并考虑多种污染物时空分布的综合能源系统环境经济调度策略。首先，考虑到新能源出力与多种负荷的不确定性，采用拉丁超立方抽样与同步回代缩减法

生成典型日场景。然后，考虑污染排放源高度、位置、风速、风向的影响，构建了火电厂和燃煤锅炉厂的污染物时空分布模型，充分反映了污染物的扩散特性，提高了结果精度。最后，计算不同时刻下大气污染物平均质量浓度与时空分布情况，获得各设备的对应调度结果。结果表明，相比于不考虑风力发电与污染物时空分布的策略，提出的环境经济调度策略在供暖季、供冷季、过渡季分别使污染物质量浓度大幅降低。所提出的调度方法能够改善空气质量，实现经济环保的调度结果。

Abstract

An accurate and effective pollutant emission control model is critical for mitigating the environmental impact of integrated energy systems. An environmental-economic dispatch strategy for integrated energy systems considering source-load uncertainties and the spatial-temporal distribution of multiple pollutants. First

considering the uncertainties in renewable energy output and various loads

the Latin hypercube sampling and the simultaneous backward reduction method are employed to generate typical daily scenarios. Secondly

spatial-temporal distribution models for pollutants emitted by coal-fired power plants and coal-fired boilers are developed

taking into account the height

location

wind speed

and wind direction of the emission source. These models comprehensively reflect the diffusion characteristics of pollutants

thereby improving the accuracy of the results. The average mass concentrations and spatial-temporal distribution of air pollutants at different times are calculated

and the corresponding dispatch results for each device are obtained. The results demonstrate that

compared with the strategies that neglect wind power generation and pollutant spatial-temporal distribution

the proposed environmental-economic dispatch strategy significantly reduces pollutant concentrations during the heating

cooling

and transitional seasons. The proposed dispatch method can effectively improve the air quality and achieve economical and environmental dispatch outcomes.

关键词

Keywords

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