Wind farm layout optimization by varying hub heights and inter-turbine spacing using genetic algorithm
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Date
2022
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UMT, Lahore
Abstract
Wind is an important renewable energy source. Majority of wind farms in Pakistan are installed in Jhimpir, Sindh Wind Corridor. At this location, downstream turbines encounter upstream turbines wakes decreasing power output. To maximize the power output, there is a need to minimize these wakes. In this research, a method is proposed to maximize the power output using Genetic Algorithm (GA). Hub heights and inter-turbine spacing are considered variables in this method. Two wind farms located at Jhimpir, Sindh namely; Second and Third Three Gorges Wind Farms (TGWFs) have been analyzed. Three different cases are considered to maximize the power output. In case I; same hub heights and inter-turbine spacing without wake effects are considered. In case II; same hub heights and inter-turbine spacing with wake effects are considered. In Case III; variable hub heights and inter-turbine spacing with wake effects are considered. The results reveal that TGWFs with variable hub heights and interturbine spacing produce more power output. It is also revealed that increase in power output in case of two different hub heights is greater in comparison to three different hub heights. Eventually, the proposed method can help in the layout optimization of any wind farm that is going to be installed.