Artificial intelligent controller-based energy management system for grid integration of PV and energy storage devices

Abstract

In the modern world, photovoltaic (PV) energy generation is becoming more prevalent and cost-effective. To address climate change, many countries have prioritised photovoltaics and made significant investments in energy generation. Because of its non-linear nature, solar energy generation is extremely difficult. This is completely dependent on the solar radiation and the outside temperature. The maximum power generation of a PV system in non-linear weather circumstances and the grid integration of PV with power management are discussed in this article. Artificial intelligence (AI) is vital for improving the energy output of PV systems across a wide range of environmental conditions because traditional controllers do not aid a solar system in producing the maximum energy. The grid integration of PV and EMS (energy management systems) was covered in the later part of this article. In this paper, artificial intelligence is used to provide customers with continuous power through a battery system, which plays a critical role in energy management. Furthermore, the suggested model was simulated in Matlab and its performance was evaluated under various operational scenarios. To demonstrate the effectiveness of the proposed system, the results are compared to IEEE 519.