Artificial Intelligence-Based Economic Control of Micro-grids: A Review of Application of IoT

India is a developing country, and the economic conditions of Indian citizen in some rural areas are ambiguous. It is extremely important to reduce the financial burden so that people can use electricity. Incorporation of solar and wind energy in a micro-grid along with a small storage unit can be used to feed a whole block of rural electricity demand which is absolutely pollution free and maintenance less. The only problem is the initial investment and recurring cost of misutilization of electricity. The micro-grids can be operated as an autonomous unit or may be used to share the load with the main grid for the area. During load shedding, which is a common phenomenon during summer, a storage unit will be used as a backup. These micro-grids are connected with bus bars that are directly connected with remote terminal unit which can feed us the necessary data for optimization. As several units are a part of this optimization, artificial intelligence (AI) may be used for a quicker and improved solution with the available data bank of the resources. The data bank can be optimized in a cloud-based server, and the whole electrical network can be controlled by a cyber-physical network or Internet of things (IoT) technology. Optimization can be used to upload the data in the cloud computing server. This paper presents a review of excellent endeavors in the field of IoT-based micro-grid control in the recent past. The review also includes a conceptualization of a method which may substantially reduce the budget of electricity in rural areas of a process that may be beneficial for people dwelling in rural areas.