“Gestión multiobjetivo de una plata virtual de energía para la participación de un mercado minorista, con restricción en las emisiones de Co2”

Abstract

In this research, a heuristic with a stochastic programming approach is proposed, considering two fundamental objectives, the first is to maximize the expected benefit of PPV, while the second refers to the reduction of CO2 emissions. For which, a VPP is considered that integrates a conventional power plant, two flexible demands, a storage unit and photovoltaic generation. In addition, VPP participates in pool markets, including DA daily energy markets and real-time (RT) energy markets. In the first instance, the DA's energy market scheduling decisions are determined and then the VPP schedules its dispatch decisions in the RT market for each period. Finally, the units are dispatched considering the technical economic properties and the previous programming. The results show that the heuristic allows establishing strategies for the dispatch of energy from the VPP in the DA and RT markets, while CO2 emissions are reduced, since in some scenarios it is possible to supply the demand without dispatching the conventional generation.