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Research on optimization strategy of micro energy grid mult..:

, In: 2022 Tsinghua-IET Electrical Engineering Academic Forum,

Xu, Q. ; Hu, F. ; Yang, B... - p. None , 2022

Link: https://doi.org/10.1049/icp.2022.2102

RT 
T1 <cTitle>2022 Tsinghua-IET Electrical Engineering Academic Forum</cTitle>: T1 <Title>Research on optimization strategy of micro energy grid multi-station fusion mode control system</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-9941106&Exemplar=1&LAN=DE
				
A1 Xu, Q.
A1 Hu, F.
A1 Yang, B.
A1 Huang, X.
A1 Yang, Y.
YR 2022
K1 computer centres
K1 decision making
K1 distributed power generation
K1 electric vehicles
K1 energy storage
K1 optimisation
K1 photovoltaic power systems
K1 substations
K1 optimization strategy
K1 microenergy grid multistation fusion mode control system
K1 electric vehicle charging station
K1 power distribution resources
K1 MSF mode control system
K1 integrated control system
K1 distributed photovoltaic power generation technology
K1 energy storage system technology
K1 collaborative control mode
K1 strategy sharing
K1 precise source network load
K1 storage control
K1 control strategies
K1 data center
K1 urban substations
K1 distributed PV power generation technology
K1 ESS technology
K1 EVCS
K1 unified decision-making
K1 decentralized control
K1 flexible source network load
K1 global risk collaborative prevention
K1 global risk collaborative control
K1 complex fault collaborative disposal
K1 AC-DC microgrid
K1 adaptive cruise
SP None
LK http://dx.doi.org/https://doi.org/10.1049/icp.2022.2102
DO https://doi.org/10.1049/icp.2022.2102
SF ELIB - SuUB Bremen

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