Mathematical model to control the Argentine Energy System during the COVID 19 pandemic
Keywords:electric power systems, Mathematical Modelling, COVID-19
The novel coronavirus disease (COVID-19) has infected million people worldwide, causing more than 700,000 deaths since late 2019. The fight against this pandemic requires a joint effort among different areas as medicine, industry, technology and science. The normal performance of essential services is necessary in the context of facing this disease. The normal electricity supply ensures a correct health response, and it helps with the movements that mitigate the infections, as the social confinement. In consequence, this paper presents a mathematical model that analyzes the behavior of the Argentine Electric System, when the effects that the COVID-19 causes in the population are considered. The model reaches feasible and accurate solutions with low computational times. Test scenarios are based on reports of official agencies and predictions. The obtained results allow identifying critical areas of the system and developing corrective actions. In addition, this helps prepare the system to continue its operations under the worst-case scenarios that may arise from the disease.