基于改进网络度电煤耗评价指标的复杂汽轮机网络优化

朱倩南; 罗向龙; 陈颖

doi:10.12052/gdutxb.160089

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基于改进网络度电煤耗评价指标的复杂汽轮机网络优化

综合研究 | 更新时间：2026-05-27

- 基于改进网络度电煤耗评价指标的复杂汽轮机网络优化
- Optimization of Complex Turbine Network Based on Improved System Coal Consumption Per Watt Evaluation Index
- 广东工业大学学报 2017年34卷第2期页码：74-79,102
- 作者机构：
- 作者简介：
  
  朱倩南(1987-),男,硕士研究生,主要研究方向为过程工业能量系统集成建模优化及应用.
- 基金信息：
  
  国家自然科学基金资助项目（51476037）
- DOI：10.12052/gdutxb.160089
  中图分类号： TK284.1
- 网络首发：2017-03-09，
  
  纸质出版：2017
- 稿件说明：
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朱倩南, 罗向龙, 陈颖. 基于改进网络度电煤耗评价指标的复杂汽轮机网络优化[J]. 广东工业大学学报, 2017, 34(2): 74-79,102.

Zhu Qian-nan, Luo Xiang-long, Chen Ying. Optimization of Complex Turbine Network Based on Improved System Coal Consumption Per Watt Evaluation Index[J]. 2017, 34(2): 74-79,102.
朱倩南, 罗向龙, 陈颖. 基于改进网络度电煤耗评价指标的复杂汽轮机网络优化[J]. 广东工业大学学报, 2017, 34(2): 74-79,102. DOI： 10.12052/gdutxb.160089.

Zhu Qian-nan, Luo Xiang-long, Chen Ying. Optimization of Complex Turbine Network Based on Improved System Coal Consumption Per Watt Evaluation Index[J]. 2017, 34(2): 74-79,102. DOI： 10.12052/gdutxb.160089.

摘要

正确的评价指标对系统全局优化非常重要，在企业汽轮机度电煤耗评价指标基础上，提出了改进网络度电煤耗评价指标；建立了蒸汽动力系统混合整数非线性规划优化模型.对某化工企业蒸汽动力系统分别以基于经验单机度电煤耗，精确单机度电煤耗和改进网络度电煤耗指标进行优化，结果表明企业基于经验确定的网络度电煤耗值要比精确值偏小，偏差为3.12%~3.80%，并且考虑了减温减压蒸汽流量的改进网络度电煤耗为目标与网络总煤耗为目标得出的优化结果一致，两种优化目标下的网络总煤耗值最大偏差为0.03%，说明改进网络度电煤耗指标能够实现蒸汽动力系统全局优化，从而验证了建立的复杂汽轮机网络模型和提出的改进网络度电煤耗评价指标对于蒸汽动力系统的实用性和可操作性.

Abstract

The optimization of steam power system with several different complex steam turbine units is of great realistic meaning for energy efficiency improvement and emission reduction. The reasonable evaluation criterion has great importance for the practical operation optimization. In order to agree with the enterprise existing evaluation index

a modified system coal consumption per watt (CCPW) evaluation index is put forward on the basis of enterprise CCPW. And a mixed integer nonlinear programming model (MINLP) of steam power system is established. Optimization of a chemical enterprise steam power system based on empirical single CCPW

rigorous single CCPW and modified system CCPW are conducted by using the proposed model and solving method. The results show that accurate system CCPW value can be obtained with the optimal model proposed in this research. The optimal system results based on empirical single CCPW is lower than rigorous single CCPW and the deviation is 3.12%~3.80%. It is also found that the modified system CCPW can fulfill the global optimization of steam power system by comparing total coal consumption between modified system CCPW optimization and total system coal consumption optimization. The biggest deviation between the objective function of modified system CCPW and total coal consumption is 0.03%. Therefore the practicability and operability of complex turbine network model and modified system CCPW evaluation index proposed are verified.

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references

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