Investigation of effective factors in simulation and optimal deployment of photovoltaic power generation

Photovoltaic energy, as a renewable energy, can generate electricity. Deployment of photovoltaic equipment in different areas is determined by the type of climate. The main issue with this system is energy efficiency and reduction of electricity generation costs. Systems engineering of photovoltaic panels to achieve such a goal is an optimization problem that in several areas and interdisciplinary can provide an optimal method to meet the challenges and meet the basic needs of research. Given the range of potential areas in this field of energy in the country, the proper deployment of photovoltaic panels can be a prerequisite for the production leap in each region. The study city of this study is Asadabad in Kermanshah province, as a cold and dry mountainous regions in the foothills of the Zagros. The simulation results show that reducing costs and energy efficiency, by considering the amount of radiation, provides an optimal controller that uses deep learning. The simulation results show that the most important factor in the Zagros region of Iran is the cost of oil. In addition, other factors such as carbon dioxide emissions, high technology exports, regulatory criteria and institutions and social criteria are also relevant.