Intelligent Energy Management for Multistorey Building With Photovoltaic-Based Electric Vehicle Charging Infrastructure

The usage of electric vehicles (EVs) has increased and it leads to additional demand along with existing residential demand and managing it becomes challenging. Further EV charging systems that function during the daytime in multistorey buildings expedite the peak loading. The main objective of this work is to minimize the operating cost of the system and conversion losses. In this work, the microgrid incorporated with a bidirectional converter plays a major role in dc-ac and ac-dc conversion. The photo voltaic (PV) sources support the system with sufficient dc power generation and batteries store the dc power and supply the load in case of insufficiency. By utilizing a genetic algorithm (GA) and appropriate energy management (EM) to charge EVs according to time-of-use tariff patterns, the impact of growing demand on the grid is greatly mitigated. To ease the burden on the grid during peak hours, the interruptible loads are shifted to off-peak times. Other challenges of EV charging such as energy saving, maximum peak demand, voltage instability, and high current drawing issues are rectified and well presented with existing topology. When compared to the standard scheme, the energy savings in the proposed topology are much increased, reaching 33.04%, while the cost reduction is 57.27%.