Abstract
The development and improvements in wind energy conversion systems (WECSs) are intensively focused these days because of its environment friendly nature. One of the attractive development is the maximum power extraction (MPE) subject to variations in wind speed. This paper has addressed the MPE in the presence of wind speed and parametric variation. This objective is met by designing a generalized global sliding mode control (GGSMC) for the tracking of wind turbine speed. The nonlinear drift terms and input channels, which generally evolves under uncertainties, are estimated using feed forward neural networks (FFNNs). The designed GGSMC algorithm enforced sliding mode from initial time with suppressed chattering. Therefore, the overall maximum power point tracking (MPPT) control is very robust from the start of the process which is always demanded in every practical scenario. The closed loop stability analysis, of the proposed design is rigorously presented and the simulations are carried out to authenticate the robust MPE.
Highlights
Due to industrialization and increasing usage of electrical devices, the energy demand is increasing every day
It mainly consists of a turbine, a gear box, converters and a variable speed wind turbine which is equipped with a permanent magnet synchronous generator (PMSG) and is further connected to a grid
The power rating of the VS-wind energy conversion systems (WECSs) equipped with PMSG is 3 kilo Watt
Summary
Due to industrialization and increasing usage of electrical devices, the energy demand is increasing every day. The Bio-inspired techniques includes particle swarm optimization (PSO) [13], ant colony optimization (ACO) [14] and genetic algorithms (GA) [15] These MPPT controllers under varying wind speed, showed fast convergence as compared to conventional methods. A proportional integral type sliding surface based SMC was proposed for renewable energy conversion systems and the electric motor drives in [34], [35] At this stage, in the context of SMC applications to power systems, we want to attract the focuss of the readers to an important point that conventional SMC experiences reaching phase which reduces the robustness property of the SMC and it causes chattering across the sliding constraint.
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