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Power-to-gas in a smart city context - influence of network restrictions and possible solutions using on-site storage and model predictive controls

: Fischer, D.; Kaufmann, F.; Selinger-Lutz, O.; Voglstätter, C.

Preprint urn:nbn:de:0011-n-5255170 (3.9 MByte PDF)
MD5 Fingerprint: 9b2ba2ba2af34266e0ce48a99adca1d4
Created on: 2.7.2019

International journal of hydrogen energy 43 (2018), No.20, pp.9483-9494
ISSN: 0360-3199
Journal Article, Electronic Publication
Fraunhofer ISE ()
Leistungselektronik; Netze und Intelligente Systeme; Power-To-Gas; Energiesystemtechnik; IKT für Energiesysteme; Systemintegration - Strom; Wärme; Gas; Elektrische Netze und Energiemanagement; flexibility; predictive control; energy system; Station

Power-to-gas (P2G or PtG) technology can provide energy storage capacity to the energy system by converting excess electrical energy into hydrogen and feeding it into the natural gas network, where it can be stored. However nowadays hydrogen feed-in has to be limited to certain percentages in order to keep the characteristics of the resulting gas mixture (i.e. heating value) within the national standards. For P2G plants in urban areas this can strongly impact the economic viability. This paper investigates the use of on-site storage and model predictive controller (MPC) to ease the negative effect of restrictions in the gas and power grid on the economics of P2G systems. Three different use-cases for P2G in an urban setting are considered: Optimal utilisation of renewable electricity produced within the boundaries of the city, optimised electricity purchase at the spot market and optimal usage of electric network. MPC is compared to an optimised rule-based control approach. Results show that both controls can be used to meet the objectives and operate the power-to-gas plant. However, the MPC approach results in a smoother operation of the plant and significantly improved economic performance in all cases and is recommended. The results indicate the beneficial effects of on-site hydrogen storage on system operation and economics. For the investigated cases a storage capacity around 6 full load hours of the electrolyser was sufficient to improve results significantly.