Abstract
Language | English |
---|---|
Number of pages | 13 |
Journal | IET Generation Transmission and Distribution |
Early online date | 27 Apr 2015 |
DOIs | |
Publication status | Published - 2015 |
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Keywords
- pumped-storage power stations
- energy storage
- maximum power point trackers
- wind turbines
- wind power
- wind power plants
- load characteristics
Cite this
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Utilising stored wind energy by hydro-pumped storage to provide frequency support at high levels of wind energy penetration. / Attya, Ayman Bakry Taha; Hartkopf, Thomas.
In: IET Generation Transmission and Distribution, 2015.Research output: Contribution to journal › Article
TY - JOUR
T1 - Utilising stored wind energy by hydro-pumped storage to provide frequency support at high levels of wind energy penetration
AU - Attya, Ayman Bakry Taha
AU - Hartkopf, Thomas
N1 - This paper is a postprint of a paper submitted to and accepted for publication in IET Generation Transmission and Distribution and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at IET Digital Library
PY - 2015
Y1 - 2015
N2 - Wind farms (WFs) contribution in frequency deviations curtailment is a grey area, especially when WFs replace large conventional generation capacities. This study offers an algorithm to integrate hydro-pumped storage station (HPSS) to provide inertial and primary support, during frequency drops by utilising stored wind energy. However, wind turbines follow maximum power tracking, and do not apply frequency support methods, thus the wasted wind energy is mitigated. First, HPSS rated power and energy capacity are determined based on several givens, including wind speed and load characteristics. Thus, HPSS major aspects are estimated [e.g. pump(s), reservoir layout and generator(s)]. Second, offered algorithm coordinates energy storage, and releasing through several dynamic and static factors. HPSS output is continuously controlled through a timed approach to provide frequency support. A hypothetical system is inspired from Egyptian grid and real wind speed records at recommended locations to host WFs. Case studies examine the algorithm impact on frequency recovery, at 40% wind power penetration. The responses of thermal generation and HPSS are analysed to highlight the influence of tuning the parameters of the proposed algorithm. The assessment of several frequency metrics insures the positive role of HPSS in frequency drops curtailment. Simulation environments are MATLAB and Simulink.
AB - Wind farms (WFs) contribution in frequency deviations curtailment is a grey area, especially when WFs replace large conventional generation capacities. This study offers an algorithm to integrate hydro-pumped storage station (HPSS) to provide inertial and primary support, during frequency drops by utilising stored wind energy. However, wind turbines follow maximum power tracking, and do not apply frequency support methods, thus the wasted wind energy is mitigated. First, HPSS rated power and energy capacity are determined based on several givens, including wind speed and load characteristics. Thus, HPSS major aspects are estimated [e.g. pump(s), reservoir layout and generator(s)]. Second, offered algorithm coordinates energy storage, and releasing through several dynamic and static factors. HPSS output is continuously controlled through a timed approach to provide frequency support. A hypothetical system is inspired from Egyptian grid and real wind speed records at recommended locations to host WFs. Case studies examine the algorithm impact on frequency recovery, at 40% wind power penetration. The responses of thermal generation and HPSS are analysed to highlight the influence of tuning the parameters of the proposed algorithm. The assessment of several frequency metrics insures the positive role of HPSS in frequency drops curtailment. Simulation environments are MATLAB and Simulink.
KW - pumped-storage power stations
KW - energy storage
KW - maximum power point trackers
KW - wind turbines
KW - wind power
KW - wind power plants
KW - load characteristics
UR - http://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2014.0744
U2 - 10.1049/iet-gtd.2014.0744
DO - 10.1049/iet-gtd.2014.0744
M3 - Article
JO - IET Generation, Transmission and Distribution
T2 - IET Generation, Transmission and Distribution
JF - IET Generation, Transmission and Distribution
SN - 1751-8687
ER -