Maps of Intrinsic Cost (IC) in reliability problems of medium voltage power distribution systems through a Fuzzy multi-objective model

Abstract

En este trabajo se analizó la fiabilidad de un Sistema de Distribución de Potencia de Media Tensión (SDMT) con la aplicación del Dispositivo de Seccionamiento/Protección (SP). La solución más satisfactoria se obtuvo a través de la metaheurística X-PSO con extensión al dominio difuso. La principal contribución fue la simplificación del índice denominado Costo Intrínseco (IC) y el análisis de los criterios de fiabilidad del coste del dispositivo y de la energía no suministrada. El IC permite obtener la valoración económica de cada uno de los criterios a optimizar y se basa en la cláusula 'Ceteris Paribus'. Se describen el problema, el modelo y el método de resolución utilizado. Se realizó un extenso análisis a través de gráficos bidimensionales (mapas) de la valoración económica de los criterios optimizados de sus respectivos Costos Intrínsecos. Finalmente, se analiza el caso real del problema de la optimización de la confiabilidad y los resultados obtenidos.

A hybrid novel method to economically evaluate the carbon dioxide emissions in the productive chain of Argentina

“…So, the emission mechanisms seek to establish a tax or subsidy, whose price is established by the laws of supply and demand, based on the transaction of property rights. The determination of that price depends on the upper and lower limits and on the preferences of the participating sectors (Camargo et al, 2018). These data are recurrently obtained from statistical analysis, mathematical models and the use of complex models in operations research (see Table 1).…”

“…Most of the important published works are carried out using deterministic models, or in the best of cases, mixed with stochastic models. That is, they use classical models of mathematical programming, which have limitations in their formulation and quality of the results obtained (Camargo et al, 2018;Camargo, 2022b). It is observed that these proposals present complex methods, which require a large amount of data, in some cases require supervised learning and most do not consider the presence of uncertainty, but rather are statistical analyses.…”

“…• There is imperfect knowledge/rationality (Camargo et al, 2018;Camargo et al, 2019;Camargo, 2022b), since the preferences (weights) associated with each affected country and individual are unknown (Cavallaro et al, 2018;Jeanne & Korinek, 2019). Firstly, there is uncertainty about the economic impact of the externality on society and a tax according to the social damage caused by emissions.…”

“…These proposals do not take into account hierarchy criteria either or, in the best of cases, they make linear weightings. The latter is an inconvenience due to metric compatibility (same measurement units) and the presence of subjectivity and uncertainty in the assessment of each index (Camargo et al, 2018;Camargo et al, 2019;Camargo, 2019Camargo, , 2021Camargo, , 2022aCamargo, , 2022b.…”

“…• These methodologies have problems of metric compatibility between indices (Camargo et al, 2018(Camargo et al, , 2019Camargo, 2019Camargo, , 2022b. This is because these indices are required to be translated through a subjective economic cost (a priori).…”