Optimal Generation and Reduce Carbon Emissions Through the Integration of Wind Turbine, Battery Energy Storage Systems, and Demand Response

The proper running of electricity systems is one of the most important challenges for operators. One of the most essential issues for power networks is optimizing their performance while accepting the rising penetration of renewable energy sources (RES), which are intermittent and variable by nature. Given the issue's large size, several key obstacles, such as load swings and nonlinear limitations, complicate it even more. As a result, this study proposes a strategy for improving the management of optimum production and the related carbon emissions costs of conventional power plants by integrating wind farms and implementing battery energy storage. This improvement is accomplished by combining wind farms and deploying battery storage systems while taking into account the prices connected with conventional fossil fuel-powered units as well as carbon-emissions charges. The simulation includes seven load customer types, five conventional power sources, wind farms, and battery storage devices. The simulation findings show that the new issue formulation considerably improves the ability and performance of scheduling power plant generations.