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面向水泥磨能耗优化的多种群多策略差分进化算法研究

Study on multi-population and multi-strategy differential evolutionary Algorithm for cement mill energy consumption optimization

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【作者】 杨旭年; 郝晓辰; 李泽; 张宇轩; 郑立召;

【Author】 YANG Xunian;HAO Xiaochen;LI Ze;ZHANG Yuxuan;ZHENG Lizhao;School of electrical engineering,Yanshan University;

【机构】 燕山大学电气工程学院;

【摘要】 针对水泥粉磨系统电耗过大,提出一种基于水泥磨能耗的动态优化算法。该算法通过长短时记忆网络构建了水泥粉磨系统的目标函数,利用多种群多策略差分进化算法对运行指标进行求解,得到符合当前工况的最优运行指标。该算法解决了水泥工业过程中运行指标通过人工经验设定,因没有理论依据使水泥磨运行指标不符合当前工况,从而电耗过大,比表面积不在范围内的问题。实现优化水泥磨运行指标使比表面积合格且电耗降低的目的。

【Abstract】 Aiming at excessive power consumption of cement grinding system, a dynamic optimization algorithm based on power consumption of cement grinding was proposed.The algorithm constructs the objective function of the cement grinding system through the long and short time memory network, and USES the multi-population and multi-strategy differential evolution algorithm to solve the operating index, and gets the optimal operating index in line with the current working condition.This algorithm solves the problem that the operating index of cement mill is set by manual experience in the process of cement industry, and the operating index of cement mill does not conform to the current working condition because there is no theoretical basis, so the power consumption is too large and the specific surface area is not within the scope.To achieve the purpose of optimizing the operation index of cement grinding to make the specific surface area qualified and the power consumption reduced.

  • 【会议录名称】 2020中国自动化大会(CAC2020)论文集
  • 【会议名称】2020中国自动化大会(CAC2020)
  • 【会议时间】2020-11-06
  • 【会议地点】中国上海
  • 【分类号】TP18;TQ172.632
  • 【主办单位】中国自动化学会
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