Fig 4 - available via license: Creative Commons Attribution 4.0 International
Content may be subject to copyright.
![DFIG model with internal gear system structure [29]](publication/357525142/figure/fig1/AS:11431281106325441@1670611369757/DFIG-model-with-internal-gear-system-structure-29.png)
Source publication
![Fig. 3. Mass block model of wind turbine [28]](publication/357525142/figure/fig2/AS:11431281106287888@1670611369922/Mass-block-model-of-wind-turbine-28_Q320.jpg)
![Fig. 4. DFIG model with internal gear system structure [29]](publication/357525142/figure/fig1/AS:11431281106325441@1670611369757/DFIG-model-with-internal-gear-system-structure-29_Q320.jpg)
This paper is based on designing a modified rotor for a drivetrain in a Type-III wind turbine system for maximum power generation to work effectively under low and high wind speed and its variation. In this paper, three drive trains are designed for the gearbox to provide regulated torque and thrust force. For time to time variation in wind speed t...
Context in source publication
Context 1
... horizontal axis wind turbine is the most common kind of wind turbine used for electricity generation (HAWT). Figure 4 [29] shows the DFIG model with the above-mentioned internal gear system structure. Wind turbines and their constituent parts, such as blades, are rapidly growing in number. ...
Citations
... Doubly-fed induction generator system and its power flows[33] ...
... Fig. 3. Flow Chart for RBFN TechniqueIt may be used to accurately estimate a large number of nonlinear continuous functions specified on a small set.[1] [6][40][41][42][43][44] There are three constraints designs are presented to implement the proposed control technique to the wind turbine system.[10][45][46][47][48] ...
Stability is the major factor that should be maintained in every power system. To predict and to optimize the nonlinear parameters this research provides a control system transient analysis using Bode plot and Nyquist plot to regulate the stability in wind power generation. The rotor speed should be balanced with respect to the generation of generator power for viable wind power generation. This study introduces a sliding mode controller for controlling wind speed and preserving system stability, and it may be improved using an Artificial Neural Network based Radial Basis Function Neural Network to eliminate nonlinearities induced by changing wind speed. The tip speed ratio approach is utilized in this study to harvest the most power from wind energy. To optimize this TSR method, a PI-RBFN tuned sliding mode controller was utilized to get maximum power while minimizing active power losses. This proposed approach may be used to address nonlinearities in the pitch angle caused by changing wind speed. As a result, the resilience of the redesigned Type-III wind turbine system is investigated using MATLAB simulink in this study. The simulation results are compared to the current DFIG-based modified Type-III wind turbine method.
... According to the study, DVR and STATCOM based on SRF theory could be used to prevent related voltage issues like sag, inflammation, and so on. As shown in fig 5 [42][43], the work presented includes transformations from a-b-c to d-q-o, filters, inverters, and PLL. The voltage injected by the injection transformer is controlled by DVR and STATCOM in this technology. ...
The various approaches used to improve the Low Voltage Ride Through (LVRT) capabilities of DFIG-based wind turbine systems are investigated in this study (WT). The Type-III WT machine, which is primarily based on DFIG, is connected to the grid without a digital power interface, resulting in unmanageable terminal voltage or reactive electricity output. As a consequence, novel LVRT approaches based on the deployment of additional active interface technologies were given in this work. The problem of low voltage faults is now being addressed using a variety of approaches. By analyzing LVRT approaches for DFIG-based WECS, this research attempts to discover such working ways by bridging the gap in terms of overall adaptive performance, operative complexity of controllers, and cost-effectiveness. This study suggests ways to improve LVRT's ability to rely on the relationship arrangement in three major areas based on their grid integrations. The wind turbine system is connected to a DVR, STATCOM, and UPQC in this study for active and reactive power regulation throughout the fault detection procedure. Using UPQC with SRF theory offers improved reaction during faults to increase active power and maximum compensation in reactive power with synchronous reference frame and without synchronous reference frame operation presented in this paper.
This era brings renewable energy ascent more popular in energy generations evolve response in enhancing concern towards environmental issues. Among all renewable energy sources wind energy becomes more attractive in the sense of nonhazardous, cleanest, and most cost-effective source of energy. This 20 th century appeals to the risk of shortage in fossil fuel, pollution, carbon dioxide emissions and the surge of power demands. This develops a hope to settle our future energy demands to be recovered the wind energy can play the vital role in this aspect. Fulfilling the clean energy source, this renewable source can also be a part of growth in energy sector. This review work presents the worldwide generations of wind power and its control considering all constraints and parameters.
This paper proposes a Giant trevally optimizer (GTO) for the optimal scheduling of a hybrid power system. This hybrid power system encompasses multiple renewable energy sources, including photovoltaic (PV) panels, wind turbines (WT), fuel cells (FC), micro turbines (MT), and a battery energy storage system (BESS). The primary objective of this method is to minimize the overall operating cost of a grid-connected micro grid while enhancing the accuracy and efficiency of the energy management system. GTO method is used to analyses the generation, storage, and response load options in order to resolve the economic dispatch difficulties. To manage with the optimal energy management of the grid connected micro grid with a high degree of uncertainties, a GTO algorithm is employed. Subsequently, the performance of this proposed technique is assessed using the MATLAB Simulink platform and compared against several existing methodologies. Notably, the proposed method yields a cost value of 270, which is notably lower than the costs associated with other existing approaches.
Fuzzy logic has been successfully utilized in a plethora of disciplines, and this article is presenting, for the first time, the utilization of interval type-3 fuzzy sets in the differential evolution (DE) algorithm. Type-3 fuzzy theory is a recently new proposal in the literature, and for this work, a study is carried out by varying an important element of interval type-3 fuzzy sets, called the LowerScale (λ) parameter, which is varied to create different fuzzy systems that are used to dynamically move a parameter of differential evolution during execution with the goal of improving its convergence. Experiments with benchmark functions and motor control optimization were undertaken to test the proposed type-3 differential evolution approach. This work aims to find out how the variation of the LowerScale (λ) influences the results on the two different presented case studies. Simulation results demonstrate that interval type-3 in combination with DE outperforms the type-1 and interval type-2 variants of DE, previously proposed in the literature.
