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基于煤质分析的火电厂配煤方案寻优研究 被引量:7

Research on Optimization of Coal Blend Scheme for Thermal Power Plant Based on Coal Quality Analysis
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摘要 目前,受国内燃煤市场供应和价格的影响,国内大多数燃煤电厂都采用掺烧经济煤种运行的方式,配煤掺烧工作不仅需要确定最优掺烧煤种和比例,也需要对配煤方案及时做出评价。从混煤煤质分析角度出发,以发热量、硫分、着火特性、稳燃特性、燃尽特性、可燃特性和经济指数为评价指标,采用熵权法确定各指标权重,并利用灰色关联度对TOPSIS法进行改进,克服了TOPSIS法中逆序问题,且所得最优方案与理想方案的位置和曲线形状具有较好的一致性,进一步提出了用于优选混煤配比方案的评价方法。通过应用实例验证,所提出的配煤方案寻优方法具有较好的可行性,该方法可为燃煤电厂的掺烧工作提供定量决策依据,具有一定的指导意义。 At present,affected by the supply and price of coal in the domestic market,most coal-fired power plants in China adopt the mode of burning the coal blended with economic type.The work of blending and firing not only needs to determine the optimal blending proportion and fuel coal type,but also needs to timely evaluate the coal blending scheme.This paper starts from the analysis of blended coal quality,takes calorific value,sulfur content,ignition characteristics,steady combustion characteristics,burnout characteristics,flammability characteristics and economic index as evaluation indicators,then uses entropy weight method to determine the weight of each index,and employs grey correlation degree to improve TOPSIS method,which overcomes the reverse order problem in TOPSIS method,with the position and curve shape of the optimal scheme obtained are in good agreement with those of the ideal scheme.Finally,the paper proposes an evaluation method for optimizing the coal blending ratio scheme.The application examples verify that the proposed optimization method for coal blending scheme has good feasibility.This method can provide quantitative decision-making basis for the blending work of coal-fired power plants,and has certain guiding significance.
作者 朱伊囡 茅大钧 陈思勤 ZHU Yinan;MAO Dajun;CHEN Siqin(School of Automation Engineering,Shanghai University of Electric Power,Shanghai 201306,China;Huaneng Shanghai Shidongkou Second Power Plant,Shanghai 200942,China)
出处 《湖北电力》 2022年第4期101-107,共7页 Hubei Electric Power
基金 华能集团有限公司2022年度科技项目(项目编号:HNKJ-HF22)。
关键词 配煤方案 综合评价 熵权法 改进TOPSIS法 灰色关联度 coal blend scheme comprehensive evaluation entropy weight method improved TOPSIS method grey correlation degree
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