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Initiative Optimization Operation Strategy and Multi-objective Energy Management Method for Combined Cooling Heating and Power

机译:冷热电联产的主动优化运行策略和多目标能源管理方法

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摘要

This paper proposed an initiative optimization operation strategy and multi-objective energy management method for combined cooling heating and power(CCHP) with storage systems.Initially,the initiative optimization operation strategy of CCHP system in the cooling season,the heating season and the transition season was formulated.The energy management of CCHP system was optimized by the multi-objective optimization model with maximum daily energy efficiency,minimum daily carbon emissions and minimum daily operation cost based on the proposed initiative optimization operation strategy.Furthermore,the pareto optimal solution set was solved by using the niche particle swarm multi-objective optimization algorithm.Ultimately,the most satisfactory energy management scheme was obtained by using the technique for order preference by similarity to ideal solution(TOPSIS) method.A case study of CCHP system used in a hospital in the north of China validated the effectiveness of this method.The results showed that the satisfactory energy management scheme of CCHP system was obtained based on this initiative optimization operation strategy and multi-objective energy management method.The CCHP system has achieved better energy efficiency,environmental protection and economic benefits.
机译:本文提出了一种主动优化运行策略和具有存储系统的冷却加热和功率(CCHP)的多目标能量管理方法.ILILILLY,CCHP系统在冷却季节,加热季和过渡季节的主动优化操作策略被制定了CCHP系统的能量管理由多目标优化模型进行优化,每日能源效率最高,最小每日碳排放和基于所提出的倡议优化操作策略的最低日常运营成本。普罗托,帕累托最优解决方案集通过使用利基粒子群多目标优化算法解决。因此,通过使用相似性与理想解决方案(Topsis)方法的顺序偏好来获得最令人满意的能量管理方案。医院使用的CCHP系统的情况研究在中国北部验证了这种方法的有效性。作者LTS表明,基于该举措优化运行策略和多目标能源管理方法获得了CCHP系统的令人满意的能量管理方案。CCHP系统取得了更好的能源效率,环境保护和经济效益。

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  • 来源
    《自动化学报:英文版》 |2016年第004期|P.385-393|共9页
  • 作者单位

    School of Control Science and Engineering,Shandong University;

    Shandong Computer Science Center (National Supercomputer Center in Jinan);

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  • 正文语种 CHI
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