North Africa Solar Energy Intelligent Control System

Can solar power transform Africa's socio-economic development?

With over 600 million people still lacking access to reliable electricity, green energy holds transformative potential for Africa’s socio-economic development. Solar energy is a key focus area, particularly in the Sahel and northern African regions, where abundant sunlight makes solar power a feasible solution for electrification.

Can artificial intelligence control energy management PV systems?

Fig. 11 provides a schematic representation of the suggested artificial intelligence control of energy management PV systems. A photovoltaic (PV) generator, a battery management system (BMS), a boost converter, and an alternating current (AC) load fitted with a neurofuzzy control system make up the primary elements of the power system.

Does Africa need a green energy grid?

In Africa, the grid system faces distinct challenges and opportunities shaped by the continent’s vast renewable resources and the urgent need for expanded electrification. With over 600 million people still lacking access to reliable electricity, green energy holds transformative potential for Africa’s socio-economic development.

Can artificial intelligence improve solar energy production?

The utilization of artificial intelligence (AI) is crucial for improving the energy generation of PV systems under various climatic circumstances, as conventional controllers do not effectively optimize the energy output of solar systems. Nevertheless, the performance of PV systems can be influenced by fluctuations in meteorological conditions.

How will cyber-physical systems & IoT integration impact energy monitoring and control?

Cyber-physical systems (CPS) and Internet of Things (IoT) integration will revolutionize energy monitoring and control, enabling real-time decision-making, predictive maintenance, and anomaly detection, enhancing both grid reliability and frequency stability.

Can adaptive neuro-fuzzy inference systems improve solar PV system performance?

Nevertheless, the performance of PV systems can be influenced by fluctuations in meteorological conditions. This study presents a novel approach for integrating solar PV systems with high input performance through adaptive neuro-fuzzy inference systems (ANFIS).