OPTIMIZING LAYOUT OF WIND FARM TURBINES USING GENETIC ALGORITHMSIN TEHRAN PROVINCE, IRAN

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Khanali Majid; AHMADZADEGAN SHAHRZAD; OMID MAHMOUD; KEYHANI NASAB FOROUGH; CHAU KWOK WING

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Journal: INTERNATIONAL JOURNAL OF ENERGY AND ENVIRONMENTAL ENGINEERING Year:2018 | Volume:9 | Issue:4 Page(s): 399-411

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Title

OPTIMIZING LAYOUT OF WIND FARM TURBINES USING GENETIC ALGORITHMSIN TEHRAN PROVINCE, IRAN

Author(s)

Keywords

WIND FARM LAYOUT ·

OPTIMIZATION ·

GENETIC ALGORITHM ·

KAHRIZAK ·

TURBINE

Abstract

Installation layout of wind TURBINEs plays a prominent role in the design of every wind farm. Thus, the wind farm layout optimizationproblem is proposed to maximize the total power output with the minimum cost. In this research, Kahrizak region inTehran province of Iran is selected as a windy region and its real wind speed data are gleaned. Three different scenarios arealso considered, with various number of generations and populations for GA parameters, effective distances, and longitudeand latitude distances of TURBINEs from each other. Among these scenarios, the best result is obtained for the one in whichthe longitudinal distance between TURBINEs is greater than the latitudinal distance. By observing the wind rose of Kahrizakregion, it is observed that the dominant wind direction of the region is toward the east and south– east. Therefore, by increasingthe longitudinal distance of the TURBINEs from each other, the efficiency can be improved and the TURBINE layout becomesmore realistic. In this case, the efficiency rate and normalized cost of TURBINEs are 89. 5% and 37. 4, respectively, and also 56TURBINEs are needed. The amounts of efficiency and power output are very convenient for real wind speed data of a region.

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APA: Copy

Khanali, Majid, AHMADZADEGAN, SHAHRZAD, OMID, MAHMOUD, KEYHANI NASAB, FOROUGH, & CHAU, KWOK WING. (2018). OPTIMIZING LAYOUT OF WIND FARM TURBINES USING GENETIC ALGORITHMSIN TEHRAN PROVINCE, IRAN. INTERNATIONAL JOURNAL OF ENERGY AND ENVIRONMENTAL ENGINEERING, 9(4), 399-411. SID. https://sid.ir/paper/327250/en

Vancouver: Copy

Khanali Majid, AHMADZADEGAN SHAHRZAD, OMID MAHMOUD, KEYHANI NASAB FOROUGH, CHAU KWOK WING. OPTIMIZING LAYOUT OF WIND FARM TURBINES USING GENETIC ALGORITHMSIN TEHRAN PROVINCE, IRAN. INTERNATIONAL JOURNAL OF ENERGY AND ENVIRONMENTAL ENGINEERING[Internet]. 2018;9(4):399-411. Available from: https://sid.ir/paper/327250/en

IEEE: Copy

Majid Khanali, SHAHRZAD AHMADZADEGAN, MAHMOUD OMID, FOROUGH KEYHANI NASAB, and KWOK WING CHAU, “OPTIMIZING LAYOUT OF WIND FARM TURBINES USING GENETIC ALGORITHMSIN TEHRAN PROVINCE, IRAN,” INTERNATIONAL JOURNAL OF ENERGY AND ENVIRONMENTAL ENGINEERING, vol. 9, no. 4, pp. 399–411, 2018, [Online]. Available: https://sid.ir/paper/327250/en

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