Jyoti Devi Ladhiya, Manju Gupta, Geetam Richhariya
With increasing population, energy demand is also increasing day by day, to meet these energy demands solely dependent on conventional energy sources is not possible as these resources are limited in nature. There is a need to utilize renewable energy resources which are present abundant in nature like solar and wind energy. Renewable energy has become a vital source for generating electricity, mitigating greenhouse gas emissions, and eliminating the reliance on non-renewable forms of energy. This work highlights on the urgent need for clean, efficient, and resilient energy sources through the development of advanced optimization methods. The hybrid solar-wind systems are meant to maximize power generation. The optimization and simulation of a solar-wind renewable system connected to a nanogrid aims to design an efficient and reliable power generation system that utilizes solar and wind energy sources to meet the energy demand of a localized grid. The first step is to determine the optimal sizing and configuration of the solar and wind components in the renewable system, considering factors such as available space, solar irradiance, wind speed, and local climate conditions. Efficiency, reliability, and component compatibility are taken into account during the selection process. An energy management system (EMS) is developed to monitor and control the operation of the renewable system. The EMS optimizes the energy flow between the solar panels, wind turbines, batteries, and nanogrid, ensuring maximum utilization of renewable energy while meeting the load requirements. Simulation software is employed to model and simulate the system's performance under different scenarios, allowing for analysis, validation, and optimization. Economic analysis is performed to assess the feasibility and cost-effectiveness of the renewable system. Sensitivity analysis helps evaluate the system's performance under various uncertainties.Overall, the optimization and simulation of a solar-wind renewable system connected to a nano grid involves a comprehensive analysis of resources, component selection, system modelling, optimization algorithms, economic assessment, integration, and performance evaluation. By following these steps, an efficient and sustainable power generation system can be designed for localized grids, contributing to renewable energy utilization and reducing reliance on conventional sources.
Nano grid; Photovoltaic; Cost of Energy; Carbon Emission; Hybrid renewable energy system; Power management; Optimal sizing; wind energy.