TY  - JOUR
T1  - Wind power plant layout optimization using particle swarm optimization
AU  - Çelik, İbrahim
AU  - Yıldız, Ceyhun
AU  - Şekkeli, Mustafa
PY  - 2021
DA  - April
DO  - 10.31127/tuje.698856
JF  - Turkish Journal of Engineering
JO  - TUJE
PB  - Murat YAKAR
WT  - DergiPark
SN  - 2587-1366
SP  - 89
EP  - 94
VL  - 5
IS  - 2
LA  - en
AB  - The use of wind energy has rapidly increased in recent years. In parallel with this rapid increase, Wind Power Plant (WPP) installation has become an important research topic. The selection of wind turbine location in WPP installation effects turbine output power. If the appropriate turbine position is not selected, the total generation of WPP is decreased. The purpose of this study was to determine the locations that wind turbines can achieve the highest energy generation. In this study, an optimization model was proposed to achieve the best WPP layout. In the first stage, field data and Wind Atlas Analysis and Application Program (WAsP) software were used to obtain wind speed distributions in the region where the WPP will be installed. . These distributions were used in the developed optimization model in MATLAB. The actual power curve of a wind turbine was used in the model to calculate energy generation. In the second stage, the locations of the wind turbine were determined by particle swarm optimization (PSO) method. In the final stage, the results of developed MATLAB model were compared with WASP to check accuracy. The difference between MATLAB model and WAsP software was found as 0.04%. This result showed that this model performed a calculation with acceptable accuracy. In addition, it    was seen that wind turbines were located to the high wind velocity regions with the solution of the developed optimization model.
KW  - Micro-siting
KW  - Wind power plant
KW  - Particle swarm optimization
KW  - WAsP
KW  - Weibull distribution
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UR  - https://doi.org/10.31127/tuje.698856
L1  - https://dergipark.org.tr/en/download/article-file/1093760
ER  -