Smart Control System for the Wind Energy Networks
DOI:
https://doi.org/10.22213/2413-1172-2021-1-102-112Keywords:
wind turbine, wind power, control, permanent magnet synchronous generator (PMSG), intelligent control systemAbstract
The operation of wind power plants is not stable and reliable enough; this is due to the inconstancy of the wind flow and the variability of wind directions. However, the global wind energy is developing at a rather high pace and in the future, the share of generating capacities associated with the transformation of the wind flow will make up a significant part of the entire electricity industry. To eliminate such factors when designing the operation of wind turbines, it is necessary to more fully use the automatic control systems not only for the parameters associated with the operation of mechanical parts, but also for the electrical characteristics of wind turbines based on power electronics.
The generation of electrical energy by converting wind flow has become the backbone of renewable energy in power systems around the world. Modern wind turbine (WT) systems that convert wind currents at different speeds and are located in large wind power plants have found better recognition and captured most of the market share. Such installations convert wind energy using power electronic systems. Power electronics technology significantly improves the controllability of wind turbines. The use of electronic systems in wind power allows you to effectively solve the problems associated with the requirements for connecting to the grid.
This research presents the smart control of a global wind energy conversion system (WECS) with a variable speed wind turbine mounted on a permanent magnet synchronous generator (PMSG - WT). Many of the parts of the PMSG - WT that provide full power monitoring, PMSG control, and DC voltage keeping are discussed in the proposed control design. A fractional PI controller is used to construct the suggested controller, where the controller parameters are configured successfully using the metaheuristic optimization algorithm of the new Bat (BA). It is used when the wind speed varies and is compared to a standard PI controller in order to illustrate and compare the output of this controller. The simulation results clearly illustrate the efficacy of the controller proposed. In addition, the PMSG-WT installation is effectively tracked in different operating modes according to the proposed scheme.References
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