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Optimal scheduling of electrical-gas coupling system consid..:

, In: Tsinghua-IET Electrical Engineering Academic Forum 2023,

Shi, X. ; Feng, J. ; Zhang, F.. - p. None , 2023

Link: https://doi.org/10.1049/icp.2023.1831

RT 
T1 <cTitle>Tsinghua-IET Electrical Engineering Academic Forum 2023</cTitle>: T1 <Title>Optimal scheduling of electrical-gas coupling system considering dynamic gas flow</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-10267870&Exemplar=1&LAN=DE
				
A1 Shi, X.
A1 Feng, J.
A1 Zhang, F.
A1 Guo, C.
YR 2023
K1 convex programming
K1 demand side management
K1 energy consumption
K1 natural gas
K1 natural gas technology
K1 optimisation
K1 power engineering computing
K1 power generation economics
K1 pricing
K1 scheduling
K1 alternative type
K1 complementary role
K1 complicated natural gas flow constraints
K1 demand response resources
K1 dynamic gas flow
K1 dynamic natural gas flow equation
K1 electrical-gas coupling system
K1 electricity
K1 energy demand response
K1 energy load curve
K1 entire energy system
K1 guiding function
K1 lower scheduling
K1 nonconvex optimization scheduling model
K1 operational expenses
K1 optimal scheduling
K1 price type
K1 second-order cone
K1 sequential optimization approach
K1 suggested IES dynamic modelling method
K1 time-sharing energy pricing
SP None
LK http://dx.doi.org/https://doi.org/10.1049/icp.2023.1831
DO https://doi.org/10.1049/icp.2023.1831
SF ELIB - SuUB Bremen

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