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基于供热发电分析的配煤优化方法
引用本文:付殿峥,黄国和,刘应梅. 基于供热发电分析的配煤优化方法[J]. 电力建设, 2013, 0(11): 71-76
作者姓名:付殿峥  黄国和  刘应梅
作者单位:区域能源系统优化教育部重点实验室(华北电力大学);中国电力科学研究院
基金项目:中央高校基本业务费(2011025);可再生能源电站理化检测技术研发和工程应用(K-GD2012-389);高等学校科技创新工程重大项目培育资金项目(708017)
摘    要:为达到多热源供热系统的热电厂经济运行和节能减排的目的,同时使配煤结果更具有科学性和实用性,将供热负荷分配和配煤掺烧过程纳入到一个系统内进行配煤优化.通过供热分析将热电厂和调峰锅炉的供热、发电量作为后续配煤优化模型的边界输入条件,同时考虑到不同煤源煤质波动所导致的区间不确定性问题,以我国北方某大型城市经济新区采暖期的热电厂和调峰锅炉配煤为案例,建立“以热定电”的热电厂-调峰锅炉联合不确定优化模型,并利用交互式区间算法进行求解.结果表明:该模型在达到供热发电、满足锅炉机组设备和环保要求的同时,也将配煤成本控制在合理范围内.配煤优化模型所得的最终优化混煤煤质较为稳定,在不同掺配煤种的优化区间解内,可根据实际情况为相关决策者提供合理的环境减排-经济成本配煤妥协方案.

关 键 词:热电厂  配煤  不确定性  区间规划  供热

Optimization Method of Coal Blending Based on Heat Supply and Power Generation Analysis
FU Dianzheng;HUANG Guohe;LIU Yingmei. Optimization Method of Coal Blending Based on Heat Supply and Power Generation Analysis[J]. Electric Power Construction, 2013, 0(11): 71-76
Authors:FU Dianzheng  HUANG Guohe  LIU Yingmei
Affiliation:FU Dianzheng;HUANG Guohe;LIU Yingmei;Education Ministry Key Laboratory of Regional Energy System Optimization,North China Electric Power University;China Electric Power Research Institute;
Abstract:In order to achieve the cost-efficient operation and energy saving of the combined heat and power (CHP) plant in the multi-source heating system, and make the coal blending results more scientific and practical, heat load distribution and coal mixture burning process were integrated into one system to carry out the research of coal dirstirbution. The heat supply and power generation of the CHP plant and the peak-shaving boiler were used as the input boundary conditions of the coal blending optimization model. Considering the uncertainty of interval caused by coal quality fluctuation, and taking the coal blending of the CHP plant and the peak-shaving boiler in an economic development zone of a North China metropolis as an example, uncertainty optimization model for combination system of ClIP plant and peak-shaving boiler were established under "Power Determined by Heat", which was solved with using interactive interval algorithm. The results show that this model can not only meet the requirements of heating and power generation, unit equipments and environmental protection, but also can control the cost of coal blending in a reasonable range. The quality of blended coal optimized with the model is stable, and it can provide reasonable coordination scheme of emission reduction and coal blending economic cost for the relative decision makers according to the actual situation, in different optimized interval of blended coal types.
Keywords:combined heat and power plant  coal blending  uncertainty  interval programming  heat supply
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