Abstract
Generator maintenance scheduling presents many engineering issues that provide power system personnel with a variety of challenges, and one can hardly afford to neglect these engineering issues in the future. Additionally, there is vital need for further development of the repair planning task complexity in order to take into account the vast majority of power flow constraints. At present, the question still remains as to which approach is the simplest and most effective, as well as appropriate for further application in the power flow-oriented statement of the repair planning problem. This research compared directed search, differential evolution, and very fast simulated annealing methods based on a number of numerical calculations and made conclusions about their prospective utilization in terms of a more complicated mathematical formulation of the repair planning task. A comparison of results shows that the effectiveness of directed search methods should not be underestimated, and that the pure differential evolution and very fast simulated annealing approaches are not essentially reliable for repair planning. The experimental results demonstrate the perspectivity of unifying single-procedure methods in order to net out risk associated with specific features of these approaches.
Highlights
There is a significant national and industrial push for a reduction in emissions, as well as for reductions in reliance on fossil fuels as a whole and conventional generation in particular.According to this trend, the development of new power system control approaches on the one hand, and wide integration of renewable generation on the other, have shown an unprecedented pace in recent years
In order to complete this task, the generator maintenance scheduling procedure was completed while the parameters of the methods were generated as pseudorandom uniformly distributed values
It can be seen that the optimization criteria values for the majority of the states are greater than the initial objective function value
Summary
There is a significant national and industrial push for a reduction in emissions, as well as for reductions in reliance on fossil fuels as a whole and conventional generation in particular. According to this trend, the development of new power system control approaches on the one hand, and wide integration of renewable generation on the other, have shown an unprecedented pace in recent years. Electric vehicle incorporation, increasing penetration of renewable generation, and energy storage systems only provide higher equipment and grid efficiency, environmental friendliness, and electrical power system flexibility. The concern regarding the controllability of generating equipment underlines, in turn, the significance of generator
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