Sizing of PV and Battery using Greywolf Optimization for Indian Grid-Connected Households

In order to calculate the optimum capacity of solar PV and battery energy storage arrangements (BES) for homes that are linked to the grid, the purpose of this article is to find the optimal capacity of these systems. Real-time rule-driven house management systems for energy are used in the process of optimizing the house’s energy usage. The real annual statistics of solar radiation, ambient temperature, home power usage, and electricity price are included in these systems. The method described earlier may be implemented in two different system configurations, namely a home that has both a BES and solar photovoltaic panels. In order to verify that the ideal outcomes have been achieved, the implementation of the uncertainty analysis makes use of actual data spanning 10 years. Along with this, a comprehensive analysis of cash flows is provided in order to emphasize the client payments that were received during every year of the life of the project. Modifying the expense and capacity of system elements, as well as the constraints placed upon the grid, the average daily requirement for power, and the average cost of energy, are all manipulated in order to carry out the sensitivity analysis. The case study that is being addressed here is an ordinary home in India that is linked to the grid. The determination of this work is to provide residential users in India with useful guidance for selecting the ideal PV/BES system for their homes by taking into account their daily average power usage as well as the amount of rooftop space that is available for PV installation. In conclusion, the suggested optimization approach is applied to families in several additional Indian states, and the outcomes of these applications are compared to one another.