DocumentCode
648415
Title
Estimating the capacity value of energy storage integrated with wind power generation
Author
Abdullah, Mohd Ariff ; Muttaqi, Kashem M. ; Agalgaonkar, A.P. ; Sutanto, Danny
Author_Institution
Endeavour Energy Power Quality Res. Centre, Univ. of Wollongong, Wollongong, NSW, Australia
fYear
2013
fDate
21-25 July 2013
Firstpage
1
Lastpage
5
Abstract
Increasing penetration of intermittent wind power generation in interconnected networks requires the integration of energy storage system (ESS) to minimise the mismatch between load and generation. Generation capacity value assessment is an essential aspect of power system planning. In this paper, a methodology has been developed for the capacity value assessment of ESS with wind power generation. The availability models of ESS during charging and discharging cycles have been developed that takes into account the unavailability of ESS during discharging periods, typically due to outage at charging periods. The proposed method has been tested on the modified IEEE RTS-79 system, which includes two wind farms. The capacity values of ESS have been estimated for the case when the ESS is used for reliability improvement and when ESS is used for reducing the variability of the output of the wind generation. An analysis of the influencing attributes on the capacity value estimation has been presented and discussed.
Keywords
energy storage; power system planning; wind power plants; ESS; IEEE RTS-79 system; capacity value estimation; discharging cycles; energy storage system; generation capacity value assessment; interconnected networks; intermittent wind power generation; power system planning; wind farms; Energy storage; Estimation; Generators; Reliability; Time series analysis; Wind; Wind energy generation; Capacity value estimation; effective load carrying capability; energy storage; power system planning;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Society General Meeting (PES), 2013 IEEE
Conference_Location
Vancouver, BC
ISSN
1944-9925
Type
conf
DOI
10.1109/PESMG.2013.6672996
Filename
6672996
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