Hybrid technique for optimizing charging-discharging behaviour of EVs and demand response for cost-effective PV microgrid system

At present, the unstable availability of renewable energy and the unpredictability of its usage have a negative impact on the reliable functioning of a microgrid. Furthermore, the presence of electric vehicles (EVs) as a variable load can significantly disrupt the secure management of the micro grid. This manuscript proposes a hybrid technique for charging-discharging behavior of EVs and demand side response for photovoltaic (PV) microgrid (MG) system. The proposed hybrid system is joint execution of both the seahorse optimization algorithm (SHO) and multi domain attention-depend conditional generative adversarial network (MDACGAN) technique. Commonly it is named as SHO - MDACGAN technique. The main objective of the proposed technique is to minimizing the operating cost of the microgrid, Maximizing the use rate of photovoltaic energy and minimizing power fluctuation between the main grid and the micro grid. The proposed microgrid economic system that incorporates transferable load (TL), electric vehicles, and other distributed generations (DG) such as photovoltaic and energy storage units (ES). To deal with the unpredictability of renewable energy supplies in MG, the proposed SHO and MDACGAN techniques are applied to solve the economic dispatch optimization model that considers the uncertainty of MG. By then, the performance of the proposed technique is executed in the MATLAB platform and contrasted with various existing techniques. In every technique, the proposed strategy yields superior outcomes like Heap Based Optimizer (HBO), Salp Swarm Algorithm (SSA) and Particle swarm optimization (PSO). From the result, it concludes that the proposed technique shows low cost of 1.2$and higher SoC of 0.78 % compared with other existing methods. •Charging-discharging behavior of EVs demand side optimized by SHO–MDACGAN•The main objective of the proposed technique is to minimizing the operating cost.•The techniques used to solve economic dispatch consider the uncertainty of MG.•SHO-MDACGAN to address the randomness of renewable energy resources in MG•Overall the proposed method minimizes the cost of the system.