Rüzgar santrali yatırım kararlarında kesikli sürekli yaklaşım

Harvesting energy from wind is becoming an effective and worthwhile way of meeting the electricity demand. Due to the carbon free structure of the wind energy, some countries started to invest more funds into the construction of wind farms on suitable areas. Before the construction of a wind farm, some variables must be chosen carefully to acquire the optimum results from both the investment cost and efficient design. The location of the wind farm must be convenient in terms of its yearly average wind speed. Other restrictions of wind farm structure include wind turbine design. Rotor length (or blade) is one of the major parameters of a wind turbine in the amount of energy generated. In addition, since wind farms contain multiple wind turbines, their placement also introduces another decision variable. Considering all of the aspects of wind farm, we modeled a multi-period mixed-integer non-linear optimization problem to decide on the investment decisions of a wind farm. We illustrate the efficiency and accuracy of our model on a real example of Turkey case and implemented the proposed model into GAMS (General Algebraic Modeling System) optimization package by using BARON solver. The result of 40.2 GW of energy that can be generated in the short term with immediate investments is obtained. Due to the uncertainty on wind speed values, we implement two-stage scenario based stochastic approach into the model and compared the results to see the value of perfect information. Finally, we conclude with the sensitivity analysis in order to see the affects of variations within the variables of the model.