Impact of wind generation control strategies, penetration level and installation location on electricity market prices

2008 ◽  
Vol 2 (3) ◽  
pp. 162-169 ◽  
Author(s):  
T.H.M. El-Fouly ◽  
E.F. El-Saadany ◽  
M.M.A. Salama ◽  
H.H. Zeineldin
Author(s):  
Jacopo Torriti

AbstractDuring peak electricity demand periods, prices in wholesale markets can be up to nine times higher than during off-peak periods. This is because if a vast number of users is consuming electricity at the same time, power plants with higher greenhouse gas emissions and higher system costs are typically activated. In the UK, the residential sector is responsible for about one third of overall electricity demand and up to 60% of peak demand. This paper presents an analysis of the 2014–2015 Office for National Statistics National Time Use Survey with a view to derive an intrinsic flexibility index based on timing of residential electricity demand. It analyses how the intrinsic flexibility varies compared with wholesale electricity market prices. Findings show that spot prices and intrinsic flexibility to shift activities vary harmoniously throughout the day. Reflections are also drawn on the application of this research to work on demand side flexibility.


1985 ◽  
Vol PER-5 (7) ◽  
pp. 26-27 ◽  
Author(s):  
R. A. Schlueter ◽  
G. L. Park ◽  
T. W. Reddoch ◽  
P. R. Barnes ◽  
J. S. Lawler

1985 ◽  
Vol PAS-104 (7) ◽  
pp. 1630-1636 ◽  
Author(s):  
R. Schlueter ◽  
G. Park ◽  
T. Reddoch ◽  
P. Barnes ◽  
J. Lawler

2013 ◽  
Vol 10 (2) ◽  
pp. 261-274 ◽  
Author(s):  
Messaoud Mayouf ◽  
Rachid Abdessemed

This paper presents an energetic comparison between two control strategies of a small size wind generation system for battery charging. The output voltage of the direct drive PMSG is connected to the battery through a switch mode rectifier. A DC-DC boost converter is used to regulate the battery bank current in order to achieve maximum power from the wind. A maximum powertracking algorithm calculates the current command that corresponds to maximum power output of the turbine. The DC-DC converter uses this current to calculate the duty cycle witch is necessary to control the pulse width modulated (PWM) active switching device (IGPT). The system overview and modeling are presented including characteristics of wind turbine, generator, batteries, power converter, control system, and supervisory system. A simulation of the system is performed using MATLAB/SIMULINK.


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