A Novel on Energy Management Strategy with Maximum Exploitation of Renewables and EV Storage in Distribution Networks

Electric vehicles (EVs) are widely recognized for their environmentally friendly attributes and superior performance. They offer considerable potential managing energy in low-voltage distribution networks through the use of vehicle-to-grid (V2G) grid-to-vehicle (G2V) technologies. This article provides a detailed investigation into management using combination EVs, solar photovoltaic (PV), diesel generators (DG). The water filling algorithm (WFA) is utilized to distribute storage EVs each zone an optimal manner, thereby achieving load flattening, minimizing costs, reducing grid reliance. A multiobjective genetic (MOGA) employed solve formulated optimization problem flattening voltage regulation, with power transaction (OPT) serving as decision variable. An adaptive neuro-fuzzy inference system (ANFIS) based EV ranking technique prioritize on ability provide required services determine (OED) different scenarios. study investigates impact OED several scenarios examines influence ANFIS prioritization overall availability cost charging (CoC). findings this crucial developing effective strategies that minimize costs reduce