Current Trends in Control Techniques in Renewable Energy: A Review

2018 ◽  
pp. 31-41
Author(s):  
Srishti ◽  
Prerna Gaur ◽  
Surabhi Chandra
Keyword(s):  
Renewable Energy ◽  
Control Techniques ◽  
Current Trends

scholarly journals Review on non-isolated DC-DC converters and their control techniques for renewable energy applications

2021 ◽  
Author(s):  
Farhan Mumtaz ◽  
Nor Zaihar Yahaya ◽  
Sheikh Tanzim Meraj ◽  
Balbir Singh ◽  
Ramani Kannan ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Control Techniques ◽  
Energy Applications

scholarly journals Data-Driven Control Techniques for Renewable Energy Conversion Systems: Wind Turbine and Hydroelectric Plants

Electronics ◽  
2019 ◽  
Vol 8 (2) ◽  
pp. 237 ◽  
Author(s):  
Silvio Simani ◽  
Stefano Alvisi ◽  
Mauro Venturini
Keyword(s):  
Renewable Energy ◽  
Model Predictive Control ◽  
Energy Conversion ◽  
Wind Turbine ◽  
Predictive Control ◽  
Control Strategies ◽  
Data Driven ◽  
Control Techniques ◽  
Energy Conversion Systems ◽  
Hydroelectric Plants

The interest in the use of renewable energy resources is increasing, especially towards wind and hydro powers, which should be efficiently converted into electric energy via suitable technology tools. To this end, data-driven control techniques represent viable strategies that can be employed for this purpose, due to the features of these nonlinear dynamic processes of working over a wide range of operating conditions, driven by stochastic inputs, excitations and disturbances. Therefore, the paper aims at providing some guidelines on the design and the application of different data-driven control strategies to a wind turbine benchmark and a hydroelectric simulator. They rely on self-tuning PID, fuzzy logic, adaptive and model predictive control methodologies. Some of the considered methods, such as fuzzy and adaptive controllers, were successfully verified on wind turbine systems, and similar advantages may thus derive from their appropriate implementation and application to hydroelectric plants. These issues represent the key features of the work, which provides some details of the implementation of the proposed control strategies to these energy conversion systems. The simulations will highlight that the fuzzy regulators are able to provide good tracking capabilities, which are outperformed by adaptive and model predictive control schemes. The working conditions of the considered processes will be also taken into account in order to highlight the reliability and robustness characteristics of the developed control strategies, especially interesting for remote and relatively inaccessible location of many plants.

Influence on Land and Airspace Demands of Control Techniques in Current Use

1971 ◽  
Vol 24 (3) ◽  
pp. 355-370
Author(s):  
P. G. Reich
Keyword(s):  
Traffic Control ◽  
New Technology ◽  
Aircraft Design ◽  
Main Concern ◽  
Land Resources ◽  
Control Techniques ◽  
Current Trends

The main concern of this paper is with the limitations of techniques already commonly applied, and in the more promising points of application for new technology in navigation, surveillance and traffic control. In seeking the latter, some of the current trends in other fields, particularly aircraft design, are taken into account. Considerable emphasis is placed on the efficient use of land at airports, in view of the strength of feelings aroused in ‘the community’ by the questions of apportionment and exploitation of land resources.

scholarly journals Data–Driven Control Techniques for Renewable Energy Conversion Systems: Wind Turbine and Hydroelectric Plants

2019 ◽  
Author(s):  
Silvio Simani ◽  
Stefano Alvisi ◽  
Mauro Venturini
Keyword(s):  
Renewable Energy ◽  
Energy Conversion ◽  
Wind Turbine ◽  
Control Strategies ◽  
Operating Conditions ◽  
Renewable Energy Resources ◽  
Control Techniques ◽  
Wide Range ◽  
Energy Conversion Systems ◽  
Hydroelectric Plants

The interest on the use of renewable energy resources is increasing, especially towards wind and hydro powers, which should be efficiently converted into electric energy via suitable technology tools. To this aim, data--driven control techniques represent viable strategies that can be employed for this purpose, due to the features of these nonlinear dynamic processes working over a wide range of operating conditions, driven by stochastic inputs, excitations and disturbances. Some of the considered methods, such as fuzzy and adaptive self--tuning controllers, were already verified on wind turbine systems, and similar advantages may thus derive from their appropriate implementation and application to hydroelectric plants. These issues represent the key features of the work, which provides some guidelines on the design and the application of these control strategies to these energy conversion systems. The working conditions of these systems will be also taken into account in order to highlight the reliability and robustness characteristics of the developed control strategies, especially interesting for remote and relatively inaccessible location of many installations.

New Tools in Hardware and Software Design Applied for Remote Photovoltaic Laboratory

2014 ◽  
pp. 1073-1092
Author(s):  
Petru A. Cotfas ◽  
Daniel T. Cotfas ◽  
Doru Ursutiu ◽  
Cornel Samoila ◽  
Dragos Iordache
Keyword(s):  
Renewable Energy ◽  
Solar Cells ◽  
Remote Control ◽  
Rapid Prototyping ◽  
Programming Language ◽  
Software Design ◽  
Research Development ◽  
Control Techniques ◽  
Lab Experiments ◽  
Remote Laboratories

This chapter aims to present a system for remote laboratories dedicated to solar cells in the context of contemporary research development in the field of renewable energy. The system is based on the NI ELVIS rapid prototyping platform, the LabVIEW graphical programming language, remote control techniques, and an original add-on for studying solar cells developed for the platform. The completed NI ELVIS add-on, called SolarLab, is a modular board, which allows users to perform eighteen different lab experiments. Using the developed driver, users can create their own applications according to their needs. Thus, SolarLab can be used for both education and research purposes.

Conclusions

2020 ◽  
pp. 512-541
Author(s):  
Paul F. Meier
Keyword(s):  
United States ◽  
Carbon Dioxide ◽  
Renewable Energy ◽  
Driving Forces ◽  
The United States ◽  
Electric Sector ◽  
The Third ◽  
Energy Technologies ◽  
Current Trends ◽  
Transportation Sector

This concluding chapter summarizes some of the information presented for the twelve different energy technologies examined in the book. The first section explores current trends in energy and some of the driving forces affecting these trends. The second section examines the electric vehicle, the bridge that can connect the electric sector with the transportation sector. The third section examines the potential for reducing carbon dioxide (CO2) emissions in the United States by the use of renewable fuels. Following this, a summary of proven and potential reserves is presented for both nonrenewable and renewable energy types. Finally, a summary is presented for the land and energy footprint of each technology.

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