ARTIFICIAL INTELLIGENCE DRIVEN ENERGY MANAGEMENT OF A HYBRID MINI-GRID
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Date
2022
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Abstract
With the driving theme of sustainability in our world today, it is imperative to consider
approaches to reduce the carbon footprint on a global scale.
One critical area is in the generation and distribution of energy supply. In the management of
energy, various methodologies have been implemented especially in the area of Demand Side
Management where a lot of research work has been done.
However, while it is very important for the consumer to be very efficient in their consumption
of energy, it is also quite critical that energy supply is properly managed such that even though
the demand is optimized, the supply also needs to be properly optimized to avoid energy
wastage.
This work has contributed to the ongoing research for Supply Side Management by adopting
two heuristic artificial intelligence models – Fuzzy logic for intelligent decisions and Genetic
Algorithm (GA) for optimizing the energy supplied to consumers. The fuzzy logic helps in
predicting the demand and optimizing it for the required supply while the GA helps to clean
up the minimization function for the optimization of the supply of energy.
This model is applicable to any energy system – on-grid and off-grid application.