Greenhouse gas, economic, and reliability issues are becoming more important for the emerging wind markets worldwide. With the interconnection of wind energy system into the electric grid, the fluctuating nature of the energy produced has a different effect on the overall system reliability/economic and GHG emissions as well as the fluctuating nature of energy produced by grid. Optimum reliability/economic and pollutant emission are multi-objective problem because reliability is conflicting with annual cost and GHG emissions. The reliability index is analyzed using probabilistic concept in order to find loss of load probability and annual customer damage cost. Therefore, this paper presents a study to find optimum design of wind energy system with electric grid from reliability/economic and pollutant emission point of view based on genetic algorithm (GA). The methodology is carried out over one year using the hourly data of the load demand and wind speed at Zafarâna site, located on the western coast of the Seuz Gulf, latitude 29.07o N and longitude 31.36o E, Egypt as an example. The optimization results do not just show economic merit but satisfy both of reliability level and environmental issues. Moreover this methodology can be applied at any site in the world to determine the optimal design and impact of reliability and GHG emissions of interconnected renewable energy system with electric grid.

Index Terms –Reliability; Emission; genetic algorithm