A comprehensive electrical-gas-hydrogen Microgrid model for energy management applications. (15th January 2021)

• Record Type: Journal Article
• Authors: Tostado-Véliz, Marcos; Arévalo, Paul; Jurado, Francisco
• Is Part Of: Energy conversion and management. Volume 228(2021)
• Publication Date: 2021-01-15
• Subjects: Multienergy Microgrid -- Storage -- Power to gas; Direct energy conversion -- Periodicals; Energy storage -- Periodicals; Energy transfer -- Periodicals; Énergie -- Conversion directe -- Périodiques; Direct energy conversion; Periodicals; 621.3105
• DOI: 10.1016/j.enconman.2020.113726
• Languages: English
• ISSNs: 0196-8904

Abstract

Highlights: A simple model of an Electricity-Gas-Hydrogen MG has been developed. The developed model encompasses a hybrid fuel station for EVs, NGVs and HVs. Grids are modelled as G2P and P2G units, gas compressors and storage units. Different electric and fueling tariffs are modelled. A benchmark electric-gas-hydrogen MG is simulated. Abstract: Recently, a growing interest on multienergy Microgrids has been observed. This kind of grids involves different energy vectors and treat them on a whole. The most typical cases contemplate electrical, natural gas and hydrogen subsystems. Multiple efforts have been conducted on modelling this kind of grids for energy management problems. However, it is observed that most of references studied do not faithfully modelling this kind of grids or directly omit some of the mentioned subsystems, which difficults the accurately representation of these grids. This paper aims at developing a comprehensive but tractable yet multienergy MG model, which allows to accurately represent the interaction between electrical, natural gas and hydrogen subsystems. To that end, the developed framework includes detailed models of the different elements which are typically encountered in this kind of grids such as Gas-to-Power or Power-to-Gas facilities. Also, charging stations for electrical, natural gas and hydrogen vehicles are considered. Different tariffs and vehicle charging modes can be easily incorporated within the developed framework. The proposed model is validated with a case study in typical winter and summer scenarios based on real data. Results show that the developed model is able to accurately represent the operational behavior of multienergy Microgrids, which may be valuable for multiple research and educational tools.