Real-Time Simulation of a Wind Turbine Generator Coupled With a Battery Supercapacitor Energy Storage System

2010 ◽  
Vol 57 (4) ◽  
pp. 1137-1145 ◽  
Author(s):  
Wei Li ◽  
G. Joos ◽  
J. Belanger
Keyword(s):  
Energy Storage ◽  
Wind Turbine ◽  
Real Time ◽  
Storage System ◽  
Energy Storage System ◽  
Turbine Generator ◽  
Real Time Simulation ◽  
Wind Turbine Generator ◽  
Time Simulation ◽  
Supercapacitor Energy Storage

Output Power Leveling of Wind Turbine Generator by EDLC Energy Storage System

2004 ◽  
Vol 124 (8) ◽  
pp. 1059-1066 ◽  
Author(s):  
Tatsuto Kinjyo ◽  
Tomonobu Senjyu ◽  
Katsumi Uezato ◽  
Hideki Fujita
Keyword(s):  
Energy Storage ◽  
Wind Turbine ◽  
Output Power ◽  
Storage System ◽  
Energy Storage System ◽  
Turbine Generator ◽  
Wind Turbine Generator

scholarly journals RT-lab based real-time simulation of flywheel energy storage system associated to a variable-speed wind generator

2021 ◽  
Vol 12 (2) ◽  
pp. 1094
Author(s):  
Bensaid Amel ◽  
Zebirate Soraya ◽  
Chaker Abdelkader
Keyword(s):  
Energy Storage ◽  
Real Time ◽  
Storage System ◽  
Energy Storage System ◽  
Variable Speed ◽  
Flywheel Energy Storage ◽  
Matlab Simulink ◽  
Real Time Simulation ◽  
Flywheel Energy Storage System ◽  
Time Simulation

This paper presents a new simulator used to distribute and execute real-time simulations: the RT-LAB, developed by opal-RT technologies (Montreal, Canada). One of its essential characteristics is the perfect integration with MATLAB/Simulink. The RT-LAB allows the conversion of Simulink models in real time via real-time workshop (RTW) and their execution on one or more processors. In this context, the paper focuses on the RT-LAB real-time simulation as a complement to the MATLAB/Simulink environment, which has been used to perform the simulation of the Flywheel energy storage system (FESS -variable speed wind generation (VSWG) assembly. The purpose of employing a fairly new real-time platform (RT-LAB OP -5600) is to reduce the test and prototype time. This application will be executed on each element of our model that was previously developed under MATLAB/Simulink. The real-time simulation results are observed in the workstation.

Frequency control of a wind turbine generator–flywheel system

2017 ◽  
Vol 41 (6) ◽  
pp. 397-408 ◽  
Author(s):  
Djalloul Achour ◽  
Mohamed Kesraoui ◽  
Ahmed Chaib ◽  
Abdeldjalil Achour
Keyword(s):  
Wind Turbine ◽  
Power Flow ◽  
Frequency Control ◽  
Storage System ◽  
Energy System ◽  
Energy Storage System ◽  
Turbine Generator ◽  
Integral Control ◽  
Wind Turbine Generator ◽  
Hybrid Renewable Energy System

The aim of this article is to propose an enhanced frequency regulator of a wind turbine generator associated with a flywheel applying an adaptive fuzzy proportional integral control, to supply a stand-alone load at 50 Hz. The flywheel energy storage system is used to balance the produced and consumed powers; it means the flywheel stores energy in case of power excess and delivers it in the opposite case. This power flow control stabilizes more the frequency around the set point. This hybrid renewable energy system is simulated by SIMPOWER in MATLAB Simulink software. Furthermore, performance improvement of the proposed new control is validated by the obtained satisfying results.

Dynamics of a Flywheel Energy Storage System Supporting a Wind Turbine Generator in a Microgrid

2016 ◽  
Vol 17 (1) ◽  
pp. 15-26 ◽  
Author(s):  
Gayathri Nair S ◽  
Nilanjan Senroy
Keyword(s):  
Energy Storage ◽  
Storage System ◽  
Energy Storage System ◽  
Reduced Order Model ◽  
Flywheel Energy Storage ◽  
Order Model ◽  
Turbine Generator ◽  
Reduced Order ◽  
Flywheel Energy Storage System ◽  
Wind Turbine Generator

Abstract Integration of an induction machine based flywheel energy storage system with a wind energy conversion system is implemented in this paper. The nonlinear and linearized models of the flywheel are studied, compared and a reduced order model of the same simulated to analyze the influence of the flywheel inertia and control in system response during a wind power change. A quantification of the relation between the inertia of the flywheel and the controller gain is obtained which allows the system to be considered as a reduced order model that is more controllable in nature. A microgrid setup comprising of the flywheel energy storage system, a two mass model of a DFIG based wind turbine generator and a reduced order model of a diesel generator is utilized to analyse the microgrid dynamics accurately in the event of frequency variations arising due to wind power change. The response of the microgrid with and without the flywheel is studied.

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