Economic-environmental evaluation of using green energy resources with considering pollution limitations

Renewable energy resources such as wind and solar have been attracting much attention as green resources of energy in recent decades. This is due not only to the decrease in fossil fuel consumption but also to alleviate environmental pollution and global warming problems. The aim of this research is the economic-environmental evaluation of using green energy resources instead of operating fossil fuels-based generators. In this regard, a standalone hybrid system (solar panels/wind turbines/diesel generators/batteries) are used to supply the demand of ۷۶۰ consumers. The ۹-bus IEEE network consists of ۱۰ load points with maximum demand ۹۶۰ MW and ۵ transmission lines is considered and grey wolf algorithm is used to determine the optimal size of the green resources. In this paper, in order to evaluate the performance of the proposed approach, ۴ different scenarios have been designed. According to the obtained results, for every ۱۰۰۰۰ kg/yr reduction in CO۲ emissions, $۱۲,۰۰۰ is added to the cost of supplying the required demand

Keywords:

Green Energy , Hybrid System , Cost Optimization , Pollution Reduction , Grey Wolf Algorithm.