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In fact, simultaneous optimal pipe diameters design and configuration of system network in a WDS problem have never been optimized.
This study explores the use of a nontraditional scheme, the genetic algorithm, in the configuration of system gains and exploitation of redundant degrees of freedom.
In multi-axis machine tool systems, the configuration of system gains and the coordination of redundant degrees of freedom are often a problem of insurmountable difficulty.
depend on system structure and if graph theory is able to quantitatively describe the configuration of system components, then graph theory should provide us with tools that help in quantifying system properties and in inferring system behaviour.
Table 2 Results of optimal reconfiguration and capacitor placement in a 16-bus system Original configuration of system After reconfiguration and capacitor placement Tie switches 15, 21, 26 19, 7, 26 Power loss (kW) 511.4 448.07 Maximum voltage (pu) Umax = 1 Umax = 1 Buses 1, 2, 3 Buses 1, 2, 3 Minimum voltage (pu) Umin = 0.9693 Umin = 0.9757 Buses 12 Buses 12 Power loss reduction - 12.38.
Table 2 Results of optimal reconfiguration and capacitor placement in 16-bus system Original configuration of system After reconfiguration and capacitor placement Tie-switches 15, 21, 26 19, 7, 26 Power loss (KW) 511.4 448.07 Maximum voltage (pu) Umax = 1 (buses 1, 2, 3) Umax = 1 (buses 1, 2, 3) Minimum voltage (pu) Umin = 0.9693 (buses 12) Umin = 0.9757 (buses 12) Power loss reduction – 12.38.
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In the light of these results, the limits in the optimized configuration of systems are shown to be now determined by the modeling and simulation tools and concepts.
Traditional state-of-the-art approaches rely on the monitoring and configuration of systems based on load measurements taken directly from their hardware assets.
The final configuration of systems containing PEG in our simulations depends strongly on the initial conditions.
Section 3 shows the configuration of systems used to diagnose PDAC and the segmentation methods of objects.
Based on the theoretical derivation, the effects of different configurations of system parameters and delay control parameters on vibration amplitude are demonstrated in numerical simulation.
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