Renewable Energy Integration with Existing Grid using Battery Energy Storage and Machine Learning Applications Biswas Hillol, Kumar M Manoj, Arora Rohit Wapcos, Gurgaon Online Published on 07 December, 2021. Abstract Ambitious goals for meeting the electricity demand and decarbonizing the electricity supply, essentially requires integrating of higher shares of variable renewable energy (VRE) technologies, such as wind and solar PV, in the power systems, however its output is mainly dependent on weather conditions making it extremely variable and uncertain in nature, and thus poses immense challenges of its integration with the existing grid, and having safe and reliable operation. Moreover, non-uniformity of renewable energy resources across the different geographical locations and complexity involve in VRE interface with grid using power electronics devices making it more perplexing. This paper describes the various challenges being encountered for integration of the VRE generation with the existing grid, role of energy storage for which can participate in smooth integration, flexible operation, frequency control and reliable operation of a power system. For solving the problem, suitable reference from data analytics and machine learning were also made for getting the desired results. Thereafter, the progression is ultimately corroborated with certain case studies for better demonstration. Top Keywords Renewable Energy, Intermittency. Integration, Energy Storage, Power System, Grid, Solar, Battery Energy Storage, Machine Learning. Top |