Production of Green Hydrogen through Renewable Energy Sources based Microgrid

Abstract

The world is focusing on generation and utilization of green hydrogen which is generated from renewable energy power sources (REPS). In order to reduce global warming at many places, the green hydrogen can give a viable solution as well as can able to solve many problems. At the same time, hybrid wind-PV based standalone systems are becoming popular and it will be a better idea to include hydrogen energy into such hybrid standalone systems. Unfortunately both speed of wind as well as irradiance are randomly changing, hence, a battery bank unit (BBU) must be integrated into system for maintain power quality. Nevertheless, batteries necessitate extensive upkeep and are prone to selfdischarge, resulting in a gradual decline in storage capacity over time. Therefore, the storage of hydrogen could present a financially viable alternative to the utilization of batteries in high power range applications. Typically, an aqua electrolyzer (AE) has the ability to effortlessly transform water into hydrogen and oxygen by means of electricity. A rapid and optimal analysis is necessary in order to enhance the production of hydrogen from REPS in general. Hence, it is imperative to develop a new method of control that can enhance the quality of hydrogen production amidst unpredictable fluctuations in solar irradiance and wind speed. The incorporation of the whale optimization technique into the corresponding controllers of each converter ensures a consistent and reliable production of hydrogen, even in the face of sudden fluctuations in irradiance and wind speed. The Whale Optimization Algorithm (WOA) method is contrasted with the Grey Wolf Optimization (GWO), Genetic Algorithm (GA), and Particle Swarm Optimization (PSO) in order to demonstrate the advantages of monitoring the system’s response in enhancing the production of hydrogen from hybrid REPS in a Microgrid. Results are included in this paper with the help of MATLAB Simulink.

Keywords

• hybrid renewable system
• standalone system
• hydrogen
• whale optimization