多目的進化的アルゴリズムによる火力プラントの起動最適化

抄録

The capabilities for high operational flexibilities such as fast start-up and reduced fuel gas consumption are required for gas turbine combined cycle power plants. During the plant start-up, thermal stress of the steam turbine (ST) rotor should be controlled to avoid exceeding the predetermined limits. However, the start-up time and the thermal stress value are in a trade-off relation. In this paper, an optimizing method for plant start-up curves that uses the NSGA (Non-dominated Sorting Genetic Algorithm)-II was developed to deal with this trade-off relation. To assess the validity of the developed method, the start-up curves were generated using the ST start-up time and ST rotor thermal stress as the objective functions, where Pareto-optimal solutions of start-up curves were confirmed. These Pareto-optimal solutions could be classified into three types start-up strategies. This result shows that the optimal strategies of start-up curves differ depending on the priority of the fast start-up or reduced thermal stress.