Parameter Optimization Analysis for Double Reheat Units Based on Particle Swarm Optimization

Authors

Wenfeng Fu, 1.North China Electric Power University, Key Laboratory of Condition Monitoring and Control for Power Plant Equipment, Baoding 071003, China; ;
Haiwen Chen, 1.North China Electric Power University, Key Laboratory of Condition Monitoring and Control for Power Plant Equipment, Baoding 071003, China; ;
Lanjing Wang, 2.School of Control and Computer Engineering, North China Electric Power University, Baoding 071003, China;

Abstract

Abstract: The thermodynamic system parameter optimization was established for double reheat ultra-supercritical units. Taking a 660MW unit as an example, some vital parameters including feedwater enthalpy rise distribution, feedwater temperature, reheat steam pressure, number of feedwater heaters and main steam parameter were analyzed based on particle swarm optimization. The result shows the unit thermal efficiency can be further improved by optimizing apparatus interface parameters. The second reheat pressure has more influence on the unit thermal efficiency than the first reheat pressure. When adding the number of feedwater heaters, low pressure heater is a better choice for improving unit thermal efficiency. Optimum feedwater temperature increases with the increase of main steam pressure. The changes of main steam temperature and reheat steam temperature have opposite effects on optimum feedwater temperature.

Recommended Citation

Fu, Wenfeng; Chen, Haiwen; and Wang, Lanjing (2019) "Parameter Optimization Analysis for Double Reheat Units Based on Particle Swarm Optimization," Journal of System Simulation: Vol. 31: Iss. 4, Article 14.
DOI: 10.16182/j.issn1004731x.joss.17-9150
Available at: https://dc-china-simulation.researchcommons.org/journal/vol31/iss4/14

First Page

710

Revised Date

2018-04-08

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.17-9150

Last Page

719

CLC

TK284.1

Recommended Citation

Fu Wenfeng, Chen Haiwen, Wang Lanjing. Parameter Optimization Analysis for Double Reheat Units Based on Particle Swarm Optimization[J]. Journal of System Simulation, 2019, 31(4): 710-719.

Corresponding Author

Lanjing Wang,

DOI

10.16182/j.issn1004731x.joss.17-9150