Analysis Utilizing AI Techniques for Optimum Performance At The Low Tension And The High Tension Line In BESS

It has been a requisite for humanity to live since the electricity invented around an early 1900s. According to the electrical energy sector's economic constraints, power must be employed as quickly as practical after it is generated. Because storing large amounts of electrical energy is prohibitively expensive. However, as energy storage material becomes more accessible, dispersed production becomes more viable, especially with the Smart Grid concept.In this paper, we use the MATLAB - SIMULINK platform to investigate a battery energy storage system (BESS). We used an effective algorithm, which is really a part of artificial intelligence (AI), to develop a controller for a converter system.The research focused on the low tension line (regional loads) and the high tension line (HV) after the grid connection, where the framework also compels the electrical desire and reactive loads.