Unit commitment optimization of a micro-grid with a MILP algorithm: Role of the emissions, bio-fuels and power generation technology

Management strategies of complex energy systems composed by different technologies is mandatory to exploit optimally the characteristics of each power generator, to reduce the cost of energy, the impact of greenhouse gases emissions and to increase the penetration of mini- and micro-grids into energ...

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Autores principales:	Francesco F. Nicolosi, Jacopo C. Alberizzi, Carlo Caligiuri, Massimiliano Renzi
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Energy systems unit commitment Mixed Integer Linear Programming Internal Combustion Engines Micro Gas Turbine Greenhouse gases emissions Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/f51deaa8768c412eaee27906a23e6fae
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id	oai:doaj.org-article:f51deaa8768c412eaee27906a23e6fae
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spelling	oai:doaj.org-article:f51deaa8768c412eaee27906a23e6fae2021-11-28T04:33:39ZUnit commitment optimization of a micro-grid with a MILP algorithm: Role of the emissions, bio-fuels and power generation technology2352-484710.1016/j.egyr.2021.04.020https://doaj.org/article/f51deaa8768c412eaee27906a23e6fae2021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2352484721002365https://doaj.org/toc/2352-4847Management strategies of complex energy systems composed by different technologies is mandatory to exploit optimally the characteristics of each power generator, to reduce the cost of energy, the impact of greenhouse gases emissions and to increase the penetration of mini- and micro-grids into energy systems. To this purpose, optimization methods and algorithms have to be developed to assess the unit commitment of generators and to suggest decision variables in the definition of the emission costs. In this paper, a novel Mixed Integer Linear Programming (MILP) optimization algorithm has been developed to compute the optimal management of a micro-energy grid composed either by four Internal Combustion Generators (ICGs), or three ICGs and a Micro Gas Turbine (MGT). The algorithm optimizes a multi objective function that takes in consideration the total cost, the NOxand the CO2 emissions of the system, while setting some technological constraints, like start-ups and transients that are typically neglected. Moreover, different fuelling of the devices is evaluated. The model proved the importance of including an accurate model of the greenhouse gases emissions as they can significantly affect the optimization results. Furthermore, it proved to be very flexible and to be a proper basis to be adopted in more complex systems embedding energy storage devices and renewable energy systems.Francesco F. NicolosiJacopo C. AlberizziCarlo CaligiuriMassimiliano RenziElsevierarticleEnergy systems unit commitmentMixed Integer Linear ProgrammingInternal Combustion EnginesMicro Gas TurbineGreenhouse gases emissionsElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENEnergy Reports, Vol 7, Iss , Pp 8639-8651 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Energy systems unit commitment Mixed Integer Linear Programming Internal Combustion Engines Micro Gas Turbine Greenhouse gases emissions Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Energy systems unit commitment Mixed Integer Linear Programming Internal Combustion Engines Micro Gas Turbine Greenhouse gases emissions Electrical engineering. Electronics. Nuclear engineering TK1-9971 Francesco F. Nicolosi Jacopo C. Alberizzi Carlo Caligiuri Massimiliano Renzi Unit commitment optimization of a micro-grid with a MILP algorithm: Role of the emissions, bio-fuels and power generation technology
description	Management strategies of complex energy systems composed by different technologies is mandatory to exploit optimally the characteristics of each power generator, to reduce the cost of energy, the impact of greenhouse gases emissions and to increase the penetration of mini- and micro-grids into energy systems. To this purpose, optimization methods and algorithms have to be developed to assess the unit commitment of generators and to suggest decision variables in the definition of the emission costs. In this paper, a novel Mixed Integer Linear Programming (MILP) optimization algorithm has been developed to compute the optimal management of a micro-energy grid composed either by four Internal Combustion Generators (ICGs), or three ICGs and a Micro Gas Turbine (MGT). The algorithm optimizes a multi objective function that takes in consideration the total cost, the NOxand the CO2 emissions of the system, while setting some technological constraints, like start-ups and transients that are typically neglected. Moreover, different fuelling of the devices is evaluated. The model proved the importance of including an accurate model of the greenhouse gases emissions as they can significantly affect the optimization results. Furthermore, it proved to be very flexible and to be a proper basis to be adopted in more complex systems embedding energy storage devices and renewable energy systems.
format	article
author	Francesco F. Nicolosi Jacopo C. Alberizzi Carlo Caligiuri Massimiliano Renzi
author_facet	Francesco F. Nicolosi Jacopo C. Alberizzi Carlo Caligiuri Massimiliano Renzi
author_sort	Francesco F. Nicolosi
title	Unit commitment optimization of a micro-grid with a MILP algorithm: Role of the emissions, bio-fuels and power generation technology
title_short	Unit commitment optimization of a micro-grid with a MILP algorithm: Role of the emissions, bio-fuels and power generation technology
title_full	Unit commitment optimization of a micro-grid with a MILP algorithm: Role of the emissions, bio-fuels and power generation technology
title_fullStr	Unit commitment optimization of a micro-grid with a MILP algorithm: Role of the emissions, bio-fuels and power generation technology
title_full_unstemmed	Unit commitment optimization of a micro-grid with a MILP algorithm: Role of the emissions, bio-fuels and power generation technology
title_sort	unit commitment optimization of a micro-grid with a milp algorithm: role of the emissions, bio-fuels and power generation technology
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/f51deaa8768c412eaee27906a23e6fae
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Unit commitment optimization of a micro-grid with a MILP algorithm: Role of the emissions, bio-fuels and power generation technology

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