基于改进关联规则算法的燃煤电厂脱硫系统工况参数优化

发布时间：2018-01-12 11:17

本文关键词：基于改进关联规则算法的燃煤电厂脱硫系统工况参数优化　出处：《中国电机工程学报》2017年15期 　论文类型：期刊论文

【摘要】：针对燃煤电厂脱硫系统运行不稳定、能耗物耗高等问题,将关联规则算法应用于工艺工况参数的优化,并在实施过程中根据应用特性对关联规则算法进行改进,通过增加剪枝条件、约束关联规则的前后项来减少候选项集与候选关联规则的规模,以达到减少空间占用,降低运算时间,提高分析效率的目的。试验结果表明,改进后关联规则算法的运算耗时较传统关联规则算法减少93.9%,优化工况所对应的SO_2平均出口浓度较优化前降低31%。将优化工况库中的工况组合作为调整目标,能有效降低污染物排放水平,若同时从工况库中有针对性的选择操作策略,能在控制污染物出口浓度的前提下降低能耗物耗,节约污染物脱除成本,具有一定的实际应用价值。
[Abstract]:Aiming at the problems of unstable operation and high energy consumption of desulfurization system in coal-fired power plant, the association rule algorithm is applied to the optimization of process parameters, and the association rule algorithm is improved according to the application characteristics in the process of implementation. By adding pruning conditions and constraining the front and rear items of association rules, the scale of candidate item set and candidate association rule is reduced, in order to reduce space consumption and operation time. Experimental results show that the computation time of the improved association rule algorithm is 93.9% less than that of the traditional association rule algorithm. The average export concentration of SO_2 corresponding to the optimized conditions is lower than that before optimization by 31. The combination of the conditions in the optimized working conditions can effectively reduce the emission level of pollutants. If the operation strategy is chosen from the working condition warehouse at the same time, it can reduce the energy consumption and reduce the cost of removing the pollutants under the premise of controlling the concentration of pollutants at the outlet, so it has certain practical application value.
【作者单位】：能源清洁利用国家重点实验室(浙江大学);浙江天地环保科技有限公司;
【基金】：浙江省环保厅科研计划课题(2015A018) 国家自然科学基金项目(U1609212) 国家科技支撑计划课题(2014BAC21B04)~~
【分类号】：TP311.13;X773
【正文快照】： 过程中根据应用特性对关联规则算法进行改进,通过增加剪枝条件、约束关联规则的前后项来减少候选项集与候选关联规则的规模,以达到减少空间占用,降低运算时间,提高分析效率的目的。试验结果表明,改进后关联规则算法的运算耗时较传统关联规则算法减少93.9%,优化工况所对应的SO2

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