Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Nikolaos KANELAKIS"'
Publikováno v:
Journal of Modern Power Systems and Clean Energy, Vol 5, Iss 3, Pp 364-374 (2017)
Abstract In this paper a combined optimization of a coupled electricity and gas system is presented. For the electricity network a unit commitment problem with optimization of energy and reserves under a power pool, considering all system operational
Externí odkaz:
https://doaj.org/article/5ee8ee26e92d49c68606f9c5d8f00d64
Autor:
Martin Schmidt, Denis Aßmann, Robert Burlacu, Jesco Humpola, Imke Joormann, Nikolaos Kanelakis, Thorsten Koch, Djamal Oucherif, Marc E. Pfetsch, Lars Schewe, Robert Schwarz, Mathias Sirvent
Publikováno v:
Data, Vol 2, Iss 4, p 40 (2017)
The development of mathematical simulation and optimization models and algorithms for solving gas transport problems is an active field of research. In order to test and compare these models and algorithms, gas network instances together with demand
Externí odkaz:
https://doaj.org/article/80791a22acb64ce3ba2639ae5562bb2a
Publikováno v:
IEEE Open Access Journal of Power and Energy, Vol 7, Pp 453-466 (2020)
The inherent coupling of the electric and natural gas systems due to the operation of gas generating units and power-to-gas facilities, along with the uncertainties faced in both systems due to the variability in electricity and gas demand and the va
Publikováno v:
International Journal of Electrical Power & Energy Systems. 80:202-218
A coupled optimization of the electricity and gas systems is presented in this paper. The electricity problem involves a unit commitment with co-optimization of energy and reserves under a power pool, considering all system operational and unit techn
Autor:
Marc E. Pfetsch, Denis Aßmann, Jesco Humpola, Nikolaos Kanelakis, Robert Schwarz, Mathias Sirvent, Imke Joormann, Lars Schewe, Martin Schmidt, Robert Burlacu, Thorsten Koch, Djamal Oucherif
Publikováno v:
Data, Vol 2, Iss 4, p 40 (2017)
The development of mathematical simulation and optimization models and algorithms for solving gas transport problems is an active field of research. In order to test and compare these models and algorithms, gas network instances together with demand