Integrated scheduling from a diversity of sources applied to the Argentine electric power and natural gas systems

Alvarez, Gonzalo Exequiel

doi:10.1016/j.compchemeng.2019.106691

Cited by 15 publications

(11 citation statements)

References 31 publications

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“…El modelo presentado en esta sección se basa en uno desarrollado en [16]. Sin embargo, dicho modelo se diferencia del actual en varios desarrollos nuevos: i) El pasado trabajo no procesa la generación en zonas críticas, como sí lo considera el presente modelo (se muestra en la subsección siguiente).…”

Section: A Modelo Para Minimizar El Costo De Generaciónunclassified

“…Cada tipo tiene sus propias características de funcionamiento. El modelado completo de los diferentes tipos de funcionamiento se encuentra detallado en [16]. Sin embargo, en el presente trabajo se utiliza el funcionamiento en modo base, porque es la forma de operación de las centrales nucleares que hay en Argentina (Atucha I y II, Embalse).…”

Section: A Modelo Para Minimizar El Costo De Generaciónunclassified

“…Además, en el país también existen dos centrales hidráulicas de acumulación por bombeo, las cuales bombean agua hacia un reservorio superior en horarios de bajo consumo, para utilizar esta reserva en horarios de consumo pico. Las restricciones que modelan este comportamiento utilizadas se encuentran descriptas detalladamente en [16].…”

Section: A Modelo Para Minimizar El Costo De Generaciónunclassified

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Mathematical model to control the Argentine Energy System during the COVID 19 pandemic

Alvarez¹,

Sarli²

2021

IEEE Latin Am. Trans.

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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.

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Section: A Modelo Para Minimizar El Costo De Generaciónunclassified

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Mathematical model to control the Argentine Energy System during the COVID 19 pandemic

Alvarez¹,

Sarli²

2021

IEEE Latin Am. Trans.

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“…In this subsection, the gas network constraints are presented. Limitation of gas injection is defined in (6), which is a first stage constraint in the natural gas network model. On the other hand, the second stage constraints of this network are shown in ( 7)- (16).…”

Section: Natural Gas Network Constraintsmentioning

confidence: 99%

“…In the integrated strategy, the operation of these networks is optimized simultaneously, and the objective function is the sum of objective functions of natural gas and electricity networks. The whole-system constraints along with a constraint, coupling these networks together are taken into account [6]- [7]. For instance, in [8], the natural gas and electricity networks were modeled, and the benefits of multi-directional compressors were examined through the iterative strategy.…”

Section: Introductionmentioning

confidence: 99%

Stochastic optimization model for coordinated operation of natural gas and electricity networks

Shabazbegian

Ameli

et al. 2020

Computers & Chemical Engineering

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A multi‐objective model for the analysis of investments to achieve an electricity cleaner production. The case of the Argentinean system

Alvarez

2021

Env Prog and Sustain Energy

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The electric power systems are in a transition to forms of generation that achieve cleaner production. In this regard, a new multi-objective model that helps with the problem of cleaner production investments is presented. The model can obtain convenient solutions where actors with opposed interests are participating. The novelty is the model considers more points of view than the classical approaches of the literature, which only consider a maximum of two actors involved in this field (the new model considers investment costs, greenhouse emissions, and operating costs).Another key contribution is that the real procedures of the generation and transmission stages and the dependences between electrical-natural gas systems are carefully represented and included in the model. It allows obtaining solutions in concordance with the real conditions. The model is applied to the energy system of Argentina by using an epsilon-constraint approach and Mixed Integer Linear Programming formulations. The test system supplies electricity to over 40 million people and neighboring countries. Besides, there is interdependency with the Argentinean Natural Gas system that operates in one of the most extended territories in Latin America. Results indicate that the solutions that are more convenient for all actors represent a mix between renewables and non-renewables technologies. Consequently, this proposal is differentiated from other ones that only consider the expansion concerning renewables technologies. The study reveals decreases in emissions up to 39% and the reduction in production costs up to 12% in comparison with the solution without investments.

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Integrated scheduling from a diversity of sources applied to the Argentine electric power and natural gas systems

Cited by 15 publications

References 31 publications

Mathematical model to control the Argentine Energy System during the COVID 19 pandemic

Mathematical model to control the Argentine Energy System during the COVID 19 pandemic

Stochastic optimization model for coordinated operation of natural gas and electricity networks

A multi‐objective model for the analysis of investments to achieve an electricity cleaner production. The case of the Argentinean system

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