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- W2891891672 abstract "Generally large power systems have a lot of generator units, nodes and lines. It causes the size of optimization problem of large scale. For dynamic scheduling, the size will add again because it involves the ramp rate, and generator capability curves. Where usage of the generator capability curves intactly will cause size of optimization problem to be a very large. For special power system, low absorption of the reactive power, the excitation limits can be approached so that reduces the size of optimization problem. This paper approaches on the excitation limits with the minimum and maximum reactive power limits to obtain simpler generator capability curves, which is expected to reduce the inequality constraints. The proposed methodology will be able to reduce computation time and more effective for large-scale power systems. From the simulations show that the proposed method can work very well and satisfactory." @default.
- W2891891672 created "2018-09-27" @default.
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- W2891891672 date "2017-09-01" @default.
- W2891891672 modified "2023-09-25" @default.
- W2891891672 title "Optimal Dynamic Scheduling with Overall Constraints for Large Scale Power Systems" @default.
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- W2891891672 doi "https://doi.org/10.1109/ctceec.2017.8455125" @default.
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