DocumentCode
157650
Title
A novel method for feasibility study of wind farm installation based on reliability indices
Author
Soltani, Sima ; Haghifam, Mahmood-Reza ; Soltani, Nahid ; Jahromi, Mehdi Zareian
Author_Institution
Dept. Electr. Eng., Islamic Azad Univ., Tehran, Iran
fYear
2014
fDate
7-10 July 2014
Firstpage
1
Lastpage
6
Abstract
In this paper a novel method of feasibility studies for wind farm installation in a region based on reliability indices is presented. For a case study, the actual wind speed data of an Iranian Northern-eastern city, Ardebil, is employed in the modeling. At first, the impact of wind generation in power system reliability is evaluated, and then, in order to improve the calculation accuracy, diurnal pattern is used. LOLE (Loss of Load Expectation) and LOEE (Loss of Energy Expectation) as two important generation reliability indices are computed in this study. In the second stage, the study uses ECGC (Equivalent Conventional Generator Capacity) as a reliability index, for the purpose of feasibility studies. Then, this index will be calculated based on mentioned reliability indices, obtained from both Annual and Hourly patterns and finally, comparison will be performed. The results clarify the importance of reliability assessment considering diurnal pattern. Also, for the case study, these results confirm Ardebil is a suitable region for the wind farm installation from a reliability point of view. It is not only because of a good condition of wind speed, but also for the coincidence of daily load profile of network and daily wind regime in the site.
Keywords
power generation reliability; wind power plants; ECGC; LOEE; LOLE; annual patterns; calculation accuracy improvement; daily load profile; daily wind regime; diurnal pattern; equivalent conventional generator capacity; feasibility studies; hourly patterns; loss of energy expectation; loss of load expectation; power system reliability; reliability indices; wind farm installation; wind generation; wind speed data; Indexes; Power system reliability; Reliability; Wind farms; Wind speed; Wind turbines; equivalent capacity; feasibility studies; reliability; reneawble energy; wind farm;
fLanguage
English
Publisher
ieee
Conference_Titel
Probabilistic Methods Applied to Power Systems (PMAPS), 2014 International Conference on
Conference_Location
Durham
Type
conf
DOI
10.1109/PMAPS.2014.6960654
Filename
6960654
Link To Document