Examinando por Materia "Demand Response Program"
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Ítem Análisis económico del mecanismo de respuesta de la demanda en el sector eléctrico colombiano(Universidad EAFIT, 2017-07-01) García, John J.; Gutierrez, Alejandro; Vargas Tobón, Luisa; Velasquez, Hermilson; jgarcia@eafit.edu.co; lvargas9@eafit.edu.co; evelas@eafit.edu.coThis paper is based upon the PJM market Demand Response Program, which it is considered as one of the most successful DR mechanisms over the world. Based on its design, the economic impact that could be achieve if a similar DR program were implemented in the Colombian market was determined. A DR program has been proposed that could achieve 600 MW of capacity in a mature stage. When its impact was took into account in the market price, it was found that for 2015 its impact in the DR dispatch hours could achieve lowering spot price in around 30%. With these results it can be estimated that the system could save about COP130.000 million, regardless of its contribution to the system reliability that, in the past El Niño event (2015-2016), could have reduced blackout risks.Ítem Análisis económico del mecanismo de respuesta de la demanda en el sector eléctrico colombiano (Julio de 2017)(Universidad EAFIT, 2017-10-09) García, John J.; Gutierrez, Alejandro; Vargas Tobón, Luisa; Velasquez, Hermilson; jgarcia@eafit.edu.co; lvargas9@eafit.edu.co; evelas@eafit.edu.coThis paper is based upon the PJM market Demand Response Program, which it is considered as one of the most successful DR mechanisms over the world. Based on its design, the economic impact that could be achieve if a similar DR program were implemented in the Colombian market was determined. A DR program has been proposed that could achieve 600 MW of capacity in a mature stage. When its impact was took into account in the market price, it was found that for 2015 its impact in the DR dispatch hours could achieve lowering spot price in around 30%. With these results it can be estimated that the system could save about COP130.000 million, regardless of its contribution to the system reliability that, in the past El Niño event (2015-2016), could have reduced blackout risks.