Utility-scale solar photovoltaic hybrid system and performance analysis

What is it about?

Electricity energy has a crucial importance role for social and economic developments all over the world. Nowadays, the worldwide generation of electricity mostly depends on conventional sources. These sources are limited in the environment and also responsible for ecological problems like environmental pollution. Renewable energy sources have important aspects such as feasibility, efficiency, and environment-friendly in comparison to conventional energy resources. In order to overcome environmental problems, this proposed study focuses on solar photovoltaic hybrid system for eco-friendly electric vehicle charging and house based on machine learning system. In order to realize numerical study, Homer Pro and PVSOL software are used. Various parameters of economic feasibility, sizing strategies with logical advancements, and optimization methods are numerically considered and analyzed to compare measurement one.

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Why is it important?

In this study, I realized new aspects on solar photovoltaic hybrid system with electrical charging. Proposed solar photovoltaic model is created by various optimization software based on machine learning. There are many studies on on-off grid solar power systems in the literature. However, this paper presents both numerical and measurement solar storage system results unlike literature studies. Thismodelconsistsofanecologichouseandelectricvehiclewhichobtainsitselectricenergyfromasolar photovoltaic hybrid and storage system. Hybrid system synchronizes with grid utilization, solar photovoltaic generator, and battery charger. System realizes self-determination necessary storage battery level in this optimization method. This reduces storage system costs. Also, storage systems have a positive impact on grid energy quality and regulate grid voltage balance. It is very important for sizing and dimension of the selected photovoltaic panel, inverter, and storage battery on grid-connected hybrid photovoltaic system design. Optimum planning is required, taking into account the unit energy cost, investment cost, and renewable energy ratio. Homer pro microgrid Analysis tool software provides successful results in the field of artificial intelligence applications. We numerically modeled proposed hybrid photovoltaic system and at the same time, optimized the results of the hybrid system by comparing them with the numericalone.