scholarly journals Modeling Renewable Energy Systems by a Self-Evolving Nonlinear Consequent Part Recurrent Type-2 Fuzzy System for Power Prediction

2021 ◽  
Vol 13 (6) ◽  
pp. 3301
Author(s):  
Jafar Tavoosi ◽  
Amir Abolfazl Suratgar ◽  
Mohammad Bagher Menhaj ◽  
Amir Mosavi ◽  
Ardashir Mohammadzadeh ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Wind Turbine ◽  
Fuzzy System ◽  
Geographical Area ◽  
Energy Systems ◽  
Optimization Techniques ◽  
Fuzzy Rules ◽  
Renewable Energy Systems ◽  
Recurrent Type

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.

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
Keyword(s):  
Renewable Energy ◽  
Energy Conversion ◽  
Wind Turbine ◽  
Energy Systems ◽  
Energy Conversion Efficiency ◽  
Renewable Energy Systems ◽  
Wind Energy Conversion ◽  
Rotating Systems ◽  
Differential Transmission ◽  
Novel Concept

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.

Mini Wind Plant to Power Telecommunication Systems: A Case Study in Sicily

2012 ◽  
Vol 622-623 ◽  
pp. 1078-1083 ◽  
Author(s):  
Giuseppina Ciulla ◽  
Vincenzo Franzitta ◽  
Valerio Lo Brano ◽  
Alessia Viola ◽  
Marco Trapanese
Keyword(s):  
Air Pollution ◽  
Renewable Energy ◽  
Low Power ◽  
Wind Turbine ◽  
Energy Systems ◽  
Power Lines ◽  
Renewable Energy Systems ◽  
Telecommunication Systems ◽  
Main City

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).

scholarly journals Data mining and Statistical Review of Optimization Techniques of Hybrid Renewable Energy Systems

2020 ◽  
Vol 10 (2) ◽  
pp. 181-192
Author(s):  
Muhammad Imran Khan
Keyword(s):  
Data Mining ◽  
Renewable Energy ◽  
Energy Systems ◽  
System Optimization ◽  
Optimization Techniques ◽  
Total System ◽  
Renewable Energy Systems ◽  
Hybrid Renewable Energy Systems ◽  
Complementary Nature ◽  
Hybrid Renewable Energy

The renewable energy becomes the secondlargest source of global electricity worldwide. However, the intermittent nature of RESs (RES)causes great challenges and severed problems regarding system security and reliability. Combining two or more RES in hybrid renewable topologies can overcome these problems and improve the power quality, reliability and increasing the overall system efficiency especially when the combined sources have a complementary nature for each other. For example, Solar Photovoltaic and Wind energy have a complementary nature since they can complement each other in partial failure time and in turn, increases the reliability of the overall system. Optimization techniques are essentially required to optimally coordinate between the combined energy sources, reduce the total system cost, and maximize the extracted power and consequently increasing the total efficiency. Therefore, this paper has a twofold aim which is conducting comprehensive review of the optimization techniques, Software and tools, topologies of hybrid renewable energy systems (HRES)and then applying data mining and statistical calculations to predict the most suitable optimization techniques for a hybrid system composed of Solar PV, Wind Turbine, and battery bank.

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