首页|基于IPSO算法的火电载能工业炉园区碳排放模型构建

基于IPSO算法的火电载能工业炉园区碳排放模型构建

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为了降低火电载能碳排放量,实现工业炉园区火电载能的碳排放优化,提出基于IPSO算法的火电载能工业炉园区碳排放模型.通过工业炉园区火电机组的度电煤炭消耗量,计算火电机组的碳排放强度,结合最小二乘算法拟合各个火电机组的煤耗特性曲线,以此为基础,将含煤耗量最小、费用最小、污染物排放量最小视为目标函数,结合总负荷平衡、旋转备用容量等约束条件,构建工业炉园区碳排放优化模型,并通过IPSO算法对模型进行求解,实现工业炉园区火电载能的碳排放优化.测试结果显示:该模型有效完成机组在低碳、基准以及高碳三种情况下的燃煤特性曲线拟合,优化后机组碳排放浓度最大结果分别为744.5、502.4、833.6 mg·m-3,最高日碳排放量分别为10 087.3、89 665.4、92 204.3 kg,在满足园区供需的情况实现碳排放量的优化.
Construction of Carbon Emission Model for Thermal Power Energy Carrying Industrial Park Based on IPSO Algorithm
In order to reduce the carbon emissions of thermal power carrying capacity and optimize the carbon emissions of industrial furnace parks,a carbon emission model for thermal power carrying capacity industrial furnace parks based on IPSO algorithm is proposed.By calculat-ing the carbon consumption of thermal power units in the industrial furnace park,the carbon emission intensity of thermal power units is calcu-lated,and the least squares algorithm is used to fit the coal consumption characteristic curves of each thermal power unit.Based on this,the objective functions of minimizing coal consumption,cost,and pollutant emissions are considered,and combined with constraints such as total load balance and rotating reserve capacity,an industrial furnace park carbon emission optimization model is constructed,And solve the model through IPSO algorithm to achieve carbon emission optimization of thermal power load in industrial furnace parks.The test results show that the model effectively fits the coal combustion characteristic curves of the unit under three conditions:low-carbon,benchmark,and high carbon.After optimization,the maximum carbon emission concentration of the unit is 744.5,502.4,833.6 mg·m 3,and the maximum daily car-bon emissions are 10 087.3,89 665.4 and 92 204.3 kg,respectively.The optimization of carbon emissions is achieved while meeting the supply and demand of the park.

IPSO algorithmthermal power carrying capacityindustrial furnace parkcarbon emissionscoal burning characteristicscar-bon emission concentration

喻芸、谭琛、张建中、郑瑛、唐述

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南方电网数字企业科技(广东)有限公司,广东 广州 510700

北京科东电力控制系统有限责任公司,北京 100192

重庆邮电大学,计算机科学与技术学院,重庆 400065

IPSO算法 火电载能 工业炉园区 碳排放 燃煤特性 碳排放浓度

国家自然科学基金重庆市技术创新与应用发展专项面上项目

61601070cstc2020jscxmsxmX0135

2024

工业加热
西安电炉研究所有限公司

工业加热

CSTPCD
影响因子:0.257
ISSN:1002-1639
年,卷(期):2024.53(5)
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