Structural and Kinematic Features of a 2 DOF Speed Increaser for Renewable Energy Systems

2016 ◽  
Vol 823 ◽  
pp. 367-372 ◽  
Author(s):  
Radu Saulescu ◽  
Codruta Jaliu ◽  
Mircea Neagoe

The counter-rotating wind turbine is a relatively new concept of wind converter that contains two rotors placed on the same side or on both sides of the nacelle with the aim of increasing the wind energy conversion efficiency. As the rotors are rotating at a lower speed than the generator requires, the wind turbine usually contains a speed increaser to harmonize their running regimes. Similar counter-rotating systems are approached for hydro applications but they are still in the research phase.The paper proposes a novel concept of a 2 DOF speed increaser to be used in counter-rotating systems (wind or hydro). The structural and kinematic features of the 1 DOF and 2 DOF transmission running cases are presented in the paper. The differential transmission is further analyzed and the transmission functions and efficiency are established. Finally, conclusions regarding the use of 2 DOF transmissions in the renewable energy systems are formulated.

2012 ◽  
Vol 622-623 ◽  
pp. 1078-1083 ◽  
Author(s):  
Giuseppina Ciulla ◽  
Vincenzo Franzitta ◽  
Valerio Lo Brano ◽  
Alessia Viola ◽  
Marco Trapanese

The ever increasing problems related to air pollution and the difficulties for power lines to reach inaccessible areas are pushing to find new solutions for powering telecommunications equipments (TLC). The renewable energy systems, although relatively expensive, have the required characteristics. The purpose of this work is to find a solution based on a low power wind turbine to serve a real telecommunication site located near Palermo, the main city of Sicily (Italy).


2020 ◽  
Vol 16 (2) ◽  
pp. 126-130
Author(s):  
Mahdi Mozaffarilegha ◽  
Sanaz Rashidifard ◽  
Mohammad Mozaffarilegha

The growth in energy consumption and the lack of access to the electricity network in remote areas, rising fossil fuel prices, the importance of using renewable energy in these areas is increasing. The integration of these resources to provide local loads has introduced a concept called microgrid. Optimal utilization of renewable energy systems is one of their most important issues. Due to the high price of equipment such as wind turbine, solar panels and batteries, capacity sizing of the equipment is vital. In this paper, presents an algorithm based on techno-economic for assessment optimum design of a renewable energy system including photovoltaic system, batteries and wind turbine is presented.


2018 ◽  
Vol 22 (1) ◽  
pp. 40
Author(s):  
R. Rajasekaran ◽  
M. Mekala

Among different renewable energy sources, Wind energy is the most imperative energy source in power system. The development of grid connected wind energy conversion system expands, its grid connectivity issues has additionally been expanded. A portion of the issues are incorporates, for example, the regulation of voltage at Point of Common Coupling (PCC), reactive power absorption and injection, voltage sag and swell and etc. The Doubly Fed Induction Generator (DFIG) is most broadly utilized as a part of wind energy conversion system. DFIGs are extremely sensitive to grid voltage disturbances. With expanded entrance of wind energy as a renewable energy source the wind turbine should be connected to the grid during transient conditions like grid faults. The Fault Ride-Through (FRT) or Low Voltage Ride Through (LVRT) capability of wind turbines during grid faults is one of the core requirements to ensure stability in the power grid during transients and fault conditions. In this paper consists of various grid connectivity issues and research areas of wind energy conversion system and also the various control schemes for improving the LVRT system. These several techniques are used to improve the LVRT capability and limit the fault current to avoid the disconnection of DFIG from the grid under fault conditions for enhancement of stability and the performance of wind turbine.


2018 ◽  
Vol 6 (6) ◽  
Author(s):  
Mahmoud Essam M. Harby ◽  
Aboubakr Salem ◽  
S. E. Elmasry ◽  
Adel El Samahy ◽  
Helmy Elzoghby

The renewable energy systems are going to take over most of the non-renewable energy systems, so many scientific efforts are being made to ensure the stability and reliability of the renewable energy systems. This paper is concerned about the wind energy systems and ensuring their behavior and performance during and after the abnormalities like fault ride-through. Two complete models of a grid connected wind systems are going to be simulated in the MATLAB software program, the first one will be a grid connected wind turbine driving a three-phase squirrel-cage induction generator (SCIG) and the other model will be a grid connected wind turbine driving a three-phase doubly-fed induction generator (DFIG). The frequency of each system will be displayed and compared to the frequency of the other system upon fault ride-through (three-phase short-circuit fault) and under the effect of the PID controller which is tuned by genetic algorithm technique. The different responses of both generators are going to be analyzed graphically and compared to each other upon the ride-through fault and under the effect of the designed controller (genetic algorithm PID controller). 


Electronics ◽  
2021 ◽  
Vol 10 (22) ◽  
pp. 2732
Author(s):  
Lotfi Saidi ◽  
Mohamed Benbouzid

The purpose of this study is to highlight approaches for predicting a system’s future behavior and estimating its remaining useful life (RUL) to define an effective maintenance schedule. Indeed, prognosis and health management (PHM) strategies for renewable energy systems, with a focus on wind turbine generators, are given, as well as publications published in the recent ten years. As a result, some prognostic applications in renewable energy systems are emphasized, such as power converter devices, battery capacity degradation, and damage in wind turbine high-speed shaft bearings. The paper not only focuses on the methodologies adopted during the early research in the area of PHM but also investigates more current challenges and trends in this domain


2021 ◽  
Vol 13 (6) ◽  
pp. 3301
Author(s):  
Jafar Tavoosi ◽  
Amir Abolfazl Suratgar ◽  
Mohammad Bagher Menhaj ◽  
Amir Mosavi ◽  
Ardashir Mohammadzadeh ◽  
...  

A novel Nonlinear Consequent Part Recurrent Type-2 Fuzzy System (NCPRT2FS) is presented for the modeling of renewable energy systems. Not only does this paper present a new architecture of the type-2 fuzzy system (T2FS) for identification and behavior prognostication of an experimental solar cell set and a wind turbine, but also, it introduces an exquisite technique to acquire an optimal number of membership functions (MFs) and their corresponding rules. Using nonlinear functions in the “Then” part of fuzzy rules, introducing a new mechanism in structure learning, using an adaptive learning rate and performing convergence analysis of the learning algorithm are the innovations of this paper. Another novel innovation is using optimization techniques (including pruning fuzzy rules, initial adjustment of MFs). Next, a solar photovoltaic cell and a wind turbine are deemed as case studies. The experimental data are exploited and the consequent yields emerge as convincing. The root-mean-square-error (RMSE) is less than 0.006 and the number of fuzzy rules is equal to or less than four rules, which indicates the very good performance of the presented fuzzy neural network. Finally, the obtained model is used for the first time for a geographical area to examine the feasibility of renewable energies.


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