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

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

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.

Key words: double reheat, ultra-supercritical, thermodynamic system, parameter optimization

CLC Number:

TK284.1

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.

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