Indexed by:Conference Paper

Date of Publication:2010-11-27

Included Journals:Scopus、CPCI-S、EI

Volume:40-41

Page Number:298-+

Key Words:Steam power system; advanced startup; hysteretic shutdown; particle swarm optimization

Abstract:In order to meet varied requirements of gas and electricity in petrochemical enterprises, as well as reducing the operation cost and minimizing energy use, optimal operation of steam power systems is a must. Based on previous work, this research proposes a mixed integral non-linear planning model (MILNP), which accounts for expenses of operation, maintenance, depreciation, and changeover cost in between startup and shutdown stage. The model is validated against operative data. The results show optimal control strategy can be quickly obtained with improved PSO algorithm, accompanied with considerable cost saving.