Simulation-Base Multi- Objective Risk Management for Optimal Wind Turbines Placement: Case of Khodabandeh City

The main purpose of this study is to provide three simulation-based risk management models for optimal placement of wind turbines in Khodabandeh city (located in the south of Zanjan province) taking into account the wake effect and uncertainty in wind speed and direction. For this purpose, wind speed and direction data were collected, then wind speed and direction uncertainty was modeled by Monte Carlo simulation and three risk management models presented were optimized with PESA-II, NSGA-II and MOPSO algorithms. Standard deviation and tenth percentile are used as risk criteria. Based on the findings, the maximum output power of the wind farm is about 8.5 MW. Also, according to the tenth percentile risk criterion, in 90% of cases, the production is less than 1.8 MW, which it was found that the construction of a wind farm in the area has a high production risk. Is. Therefore, investing in the study area requires high risk-taking of the investor. The risk management models used in the research provide useful detailed information about the expected power, cost and risk of constructing a wind turbine project. Comparing the performance of algorithms for all three models in terms of proximity of solutions to the ideal solution, PESA-II algorithm and in terms of variety of solutions, NSGA-II algorithm has a better performance than other algorithms