Integrating battery banks to wind farms for frequency support provision–capacity sizing and support algorithms

A. B. Attya

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

The expected high penetration levels of wind energy in power systems require robust and practical solutions to maintain typical conventional systems performance. Wind farms (WFs) positive contribution in eliminating grid frequency deviations is still a grey area, especially when they replace considerable conventional generation capacities. This paper offers a sizing algorithm to integrate storage battery banks (SBs) in WFs to provide feasible power support during frequency events. This algorithm determines the required rated power and capacity of each SB inside a WF according to several constrains, including wind speed (WS) characteristics at WF location. The size of the SB is based on a statistical study for the amounts of rejected wind power, and the events of low wind production. The offered operation algorithm controls the SB charging, discharging, and standby modes based on the acquisition of different dynamic variables, for example, WF output, load demand, and storage cells' state of charge. The operation algorithm aims to mitigate frequency drops and rejected wind power and to maintain the battery lifetime. Both algorithms are applied on a defined sector from a genuine conventional system merged with real WS chronological records at certain locations which are candidates to host WFs. Results reveal the positive influence of SB involvement on frequency excursions clearance; in addition, wasted wind energy is mitigated since wind turbines de-loading techniques are avoided and some rejected wind power is utilized to charge the installed SBs. Precise models are integrated through MATLAB and Simulink simulation environment.
LanguageEnglish
Article number053125
Number of pages19
JournalJournal of Renewable and Sustainable Energy
Volume7
Issue number5
Early online date26 Oct 2015
DOIs
Publication statusE-pub ahead of print - 26 Oct 2015

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Farms
Wind power
Wind turbines
MATLAB

Keywords

  • wind energy
  • power systems
  • wind farms
  • storage battery banks

Cite this

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title = "Integrating battery banks to wind farms for frequency support provision–capacity sizing and support algorithms",
abstract = "The expected high penetration levels of wind energy in power systems require robust and practical solutions to maintain typical conventional systems performance. Wind farms (WFs) positive contribution in eliminating grid frequency deviations is still a grey area, especially when they replace considerable conventional generation capacities. This paper offers a sizing algorithm to integrate storage battery banks (SBs) in WFs to provide feasible power support during frequency events. This algorithm determines the required rated power and capacity of each SB inside a WF according to several constrains, including wind speed (WS) characteristics at WF location. The size of the SB is based on a statistical study for the amounts of rejected wind power, and the events of low wind production. The offered operation algorithm controls the SB charging, discharging, and standby modes based on the acquisition of different dynamic variables, for example, WF output, load demand, and storage cells' state of charge. The operation algorithm aims to mitigate frequency drops and rejected wind power and to maintain the battery lifetime. Both algorithms are applied on a defined sector from a genuine conventional system merged with real WS chronological records at certain locations which are candidates to host WFs. Results reveal the positive influence of SB involvement on frequency excursions clearance; in addition, wasted wind energy is mitigated since wind turbines de-loading techniques are avoided and some rejected wind power is utilized to charge the installed SBs. Precise models are integrated through MATLAB and Simulink simulation environment.",
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Integrating battery banks to wind farms for frequency support provision–capacity sizing and support algorithms. / Attya, A. B.

In: Journal of Renewable and Sustainable Energy, Vol. 7, No. 5, 053125 , 26.10.2015.

Research output: Contribution to journalArticle

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