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考虑环境容量裕度的差别化燃煤机组组合模型

郭丹阳 高明宇 班明飞 于继来

电力系统自动化2018,Vol.42Issue(12):36-43,8.
电力系统自动化2018,Vol.42Issue(12):36-43,8.DOI:10.7500/AEPS20170712001

考虑环境容量裕度的差别化燃煤机组组合模型

Differentiated Coal-fired Unit Commitment Model Considering Environmental Capacity

郭丹阳 1高明宇 1班明飞 1于继来1

作者信息

  • 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
  • 折叠

摘要

Abstract

At present,the generation schedule of coal-fired units based on the total air pollution of the whole system lacks the targeted regulation mechanism for mitigating air pollution concentration for densely populated areas.Thus,the differentiated environmental capacity constraints based on temporal and spatial dispersion characteristics of air pollutants are added to the conventional security-constrained unit commitment model.By curtailing the generation of coal-fired units that have severe impacts on air pollution concentration of densely populated areas to decrease the discharge capacity,the ambient air quality in these areas is improved and the health impact to human is decreased.In this model,the contribution from coal-fired units to the air pollutant concentration of densely populated areas is based on Gaussian puff dispersion model,forecasting meteorological information and forecasting pollution levels for key urban areas.The proposed model is formulated as a mixed integer programming problem and is simulated on a test system. The simulation results show that the proposed model with differentiated environmental capacity constraints can mitigate the health impact to human by the targeted regulation to the air pollution intensity in densely populated areas,without causing the noticeable degradation of system economy and air quality index.

关键词

机组组合/环境容量裕度/高斯烟团扩散模型/空气质量

Key words

unit commitment/environmental capacity/Gaussian puff dispersion/air quality

引用本文复制引用

郭丹阳,高明宇,班明飞,于继来..考虑环境容量裕度的差别化燃煤机组组合模型[J].电力系统自动化,2018,42(12):36-43,8.

基金项目

国家自然科学基金资助项目(51377035).This work is supported by National Natural Science Foundation of China(No.51377035). (51377035)

电力系统自动化

OA北大核心CSCDCSTPCD

1000-1026

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