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This paper presents a new model for the integrated maintenance scheduling (IMS) of generators and transmission lines, which is formulated as a high dimensional, mix-integer and highly constrained optimization problem. The advantage of the new model is that the number of integer variables is greatly reduced in comparison with that in the traditional IMS model in a large scale power system. Besides,...
This paper presents a novel coal mill modeling technique using genetic algorithms (GA) based on routine operation data measured on-site at a National Power (NP) power station, in England, U.K. The work focuses on the modeling of an E-type vertical spindle coal mill. The model performances for two different mills are evaluated, covering a whole range of operating conditions. The simulation results...
This paper applies genetic algorithms (GAs) to the problem of parameter identification for field orientation control (FOC) induction motors. Kron's two-axis dynamic model in per-unit system is given, and the model's parameters are estimated by a GA using the motor's dynamic response to a direct on-line start. Results with different levels of measurement noise are presented for the model both in the...
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