Abstract
The process data were hard to obtain in existing scheduling methods for steam power system.A scheduling strategy under uncertainty was proposed to deal with the inaccurate data in steam power system.The inaccurate data was presented by triangular fuzzy number,and a fuzzy scheduling model was established.Then the fuzzy model was shifted to a deterministic mixed integer linear programming(MILP) model by using necessity measures and α-level method.Sensitivity analysis was conducted to identify the effects of the imprecise parameters.An example from a certain petrochemical complex was adopted.Results showed that the power demand was most sensitive in the system.
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