Solution to economic emission dispatch problem including wind farms using Exchange Market Algorithm Method

Abstract This paper presents an Exchange Market Algorithm (stocktickerEMA) method for solving the Economic Emission Dispatch (EED) problem including wind farms in the power systems. The stocktickerEMA algorithm is a powerful and useful method for finding the optimal value of an optimization problem with high accuracy. In recent years, because of the emission of harmful gases from fossil fuels and global warming issues, the penetration level of cleaner energies such as the wind and solar energy has been increased in order to produce the desired electrical energy. Therefore, it is vital to consider the wind turbines and wind farms in the EED optimization problem. Due to the probabilistic nature of wind speed in wind turbines, the generated power by wind turbines and wind farms has uncertain nature. Hence, the Weibull probability distribution function is used to model the wind power in the EED problem. The proposed method is tested on the IEEE 40-units test system. The analysis shows that, compared to other algorithms the EMA method has faster convergence and better ability in finding the optimal solution for the EED problem.