Optimization of electric power systems considering the environmental impact and uncertainties

In front of the effects of climate change, electric power systems are in evolution to other types of generation technologies that mean cleaner production. At the global level, several strategies for the system operations are being implemented to enhance the efficiency and the consequence of these operations (in terms of environmental consequences). By following this premise, the proposed paper offers a mathematical model that considers the scheduling of large-scale electric power systems by studying the environmental impact. This differentiates this paper from others (which only consider the economical aspect). The mathematical model also contemplates the uncertainties in wind generation and power demand. It improves the robustness of the model in front of unexpected variations. The reduction in computational effort of the model enables the study of large-size problems when different scenarios are analyzed to cover the uncertainties. The test case is the electric power system of Argentina, which supplies to over 40 million people. Results of different scenarios indicate that the daily operating cost of the country is over USD 6 million, and the emissions are over 50 thousand CO2 tons.