嵌入惩罚激励双向协同调控机制的RWCE算法应用于换热网络优化

Application of penalty incentive two way coordinated regulation mechanism in heat exchanger network optimization

  • 摘要: 提出一种惩罚激励双向优化协同调控机制应用于换热网络优化。首先对结构中的大换热单元施加阻滞惩罚,利用该惩罚延迟大换热单元的成长速度,同时也促进优化后期结构中优势换热单元地位的演替;同时为增强新生单元的竞争力,对其所在冷流股或者热流股上的既有换热单元施加进化惩罚,利用该惩罚促进新生单元的发展,实现流股上优势换热单元的更新。后续将其应用于三个典型换热网络算例的优化,其结果表明,该方法能有效规避局部最优,获得更优的换热网络结构,证实了其在提升启发式算法全局搜索能力方面的有效性。

     

    Abstract: Absrtact: A penalty incentive bi-directional optimization collaborative control mechanism is proposed to optimize the heat exchanger network. Firstly, the block penalty is applied to the large heat exchange unit in the structure, which can delay the growth rate of the large heat exchange unit and promote the succession of the dominant heat exchange unit in the structure at the later stage of optimization; At the same time, in order to enhance the competitiveness of the new unit, the evolutionary penalty is imposed on the existing heat exchange unit on the cold stream or hot stream, which is used to promote the development of the new unit and realize the renewal of the dominant heat exchange unit on the stream. Subsequently, it is applied to the optimization of three typical heat exchanger networks. The results show that this method can effectively avoid the local optimization and obtain a better heat exchanger network structure, which proves its effectiveness in improving the global search ability of the heuristic algorithm.

     

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