Abstract
In a hybrid energy system, the operational strategy is to allocate energy sources depending on their availability to match the load demand. To optimize system performance while reducing operating costs, it must compute the energy flow from the hybrid energy system sources to various loads, as well as the charging and discharging of storage devices such as batteries and super capacitors. However, energy management becomes more challenging when some Versatile Energy Spectral Algorithm (VESA) acts as central controller. The Energy Management System must be adjusted using a central controller when the topology changes. This work proposes a VESA for optimally operating a hybrid energy system with a number of sources. The VESA algorithm is designed to maximize power generation while considering load operating circumstances. The implementation of the VESA control, which consists of several rules, is used to optimize the smart grid system. The intelligent management system immediately measures the hybrid sources’ power generation, and based on the computed data, the controllers take appropriate action as necessary. Its control approach improves the precision of this nonlinear system while also achieving optimization and distributed energy generation. The planned hybrid power system will be connected to a load-connected system. The suggested controller will be in charge of the power system’s switching function, particularly the converter, which is employed for a specific power conversion process, and an inverter for power optimization. The performance of the model is estimated with various parameters like switching losses, EMI, Efficiency, power factor (PF), and total harmonic distortion.
Keywords: Battery Management System, Energy Storage System, Hybrid Energy Management, Smart Grid, Versatile Energy Spectral Algorithm.