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210512 ||| eng |
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|a books978-3-0365-0343-1
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| 020 |
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|a 9783036503424
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|a 9783036503431
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| 100 |
1 |
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|a Bak-Jensen, Birgitte
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| 245 |
0 |
0 |
|a Integration of Renewables in Power Systems by Multi-Energy System Interaction
|h Elektronische Ressource
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| 260 |
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|a Basel, Switzerland
|b MDPI - Multidisciplinary Digital Publishing Institute
|c 2021
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| 300 |
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|a 1 electronic resource (358 p.)
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| 653 |
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|a sensitivity between TSTTC and reactive power
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| 653 |
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|a power-to-heat
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| 653 |
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|a load-profiles
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| 653 |
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|a flexibility optimization
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| 653 |
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|a commercial buildings
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| 653 |
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|a heat pumps
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| 653 |
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|a scenario method
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| 653 |
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|a energy flexibility
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| 653 |
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|a double-layer optimal scheduling
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| 653 |
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|a multi-energy system
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| 653 |
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|a integrated energy systems
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| 653 |
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|a trust region method
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| 653 |
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|a user decision
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| 653 |
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|a dynamic market
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| 653 |
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|a power grid
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| 653 |
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|a emission abatement strategies
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| 653 |
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|a combined heat and power system
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| 653 |
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|a eigenvalue analysis
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| 653 |
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|a multi-energy systems
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| 653 |
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|a wind power uncertainty
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| 653 |
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|a DC grid
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| 653 |
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|a damping torque
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| 653 |
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|a TSTTC of transmission lines
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| 653 |
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|a optimization scheduling
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| 653 |
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|a electric boiler
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| 653 |
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|a non-cooperative game
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| 653 |
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|a energy system analysis
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| 653 |
|
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|a grid expansion planning
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| 653 |
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|a multiport converter
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| 653 |
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|a hybrid electricity-natural gas energy systems
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| 653 |
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|a integrated demand response
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| 653 |
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|a History of engineering and technology / bicssc
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| 653 |
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|a whole system modelling
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| 653 |
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|a renewable energy generation
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| 653 |
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|a flexibility scheduling
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| 653 |
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|a solar PV
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| 653 |
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|a dissemination
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| 653 |
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|a ultralow-frequency oscillation
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| 653 |
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|a integrated energy park
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| 653 |
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|a integrated energy system
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| 653 |
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|a self-sufficiency
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| 653 |
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|a Levenberg-Marquardt method
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| 653 |
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|a modeling
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| 653 |
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|a reduce curtailed wind power
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| 653 |
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|a temperature dynamics of the urban heat network
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| 653 |
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|a multi-objective optimization
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| 653 |
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|a park partition
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| 653 |
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|a gas distribution
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| 653 |
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|a local energy management systems
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| 653 |
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|a multi energy system
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| 653 |
|
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|a enhance total transfer capability
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| 653 |
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|a distributed energy systems
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| 653 |
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|a network operation
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| 653 |
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|a temporal dependence
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| 653 |
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|a small-signal model
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| 653 |
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|a random fluctuations of renewable energy
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| 653 |
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|a urban integrated heat and power system
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| 653 |
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|a triple active bridge
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| 653 |
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|a day-ahead thermal generation scheduling
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| 653 |
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|a low-carbon
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| 653 |
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|a flexible demand
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| 653 |
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|a economic environmental dispatch
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| 653 |
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|a Nash equilibrium
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| 653 |
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|a estimation of thermal demand
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| 653 |
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|a renewable energy policy
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| 653 |
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|a renewable energy subsidies
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| 653 |
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|a medium- and long-term
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| 653 |
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|a power system economics
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| 653 |
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|a isolated bidirectional DC-DC converter
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| 653 |
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|a residential buildings
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| 653 |
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|a hydrogen
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| 653 |
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|a rolling time-horizon
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| 653 |
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|a HVAC systems
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| 653 |
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|a power to gas (P2G)
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| 653 |
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|a photovoltaic generation
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| 653 |
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|a smart energy system
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| 653 |
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|a thermal storage
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| 653 |
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|a reactive power control method
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| 653 |
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|a CO2 emissions
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| 653 |
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|a flexibility quantification
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| 653 |
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|a system dynamics
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| 700 |
1 |
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|a Pillai, Jayakrishnan Radhakrishna
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| 700 |
1 |
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|a Bak-Jensen, Birgitte
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| 700 |
1 |
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|a Pillai, Jayakrishnan Radhakrishna
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b DOAB
|a Directory of Open Access Books
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| 500 |
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|a Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
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| 024 |
8 |
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|a 10.3390/books978-3-0365-0343-1
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| 856 |
4 |
0 |
|u https://www.mdpi.com/books/pdfview/book/3583
|7 0
|x Verlag
|3 Volltext
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| 856 |
4 |
2 |
|u https://directory.doabooks.org/handle/20.500.12854/68562
|z DOAB: description of the publication
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|a 900
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|a 363
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|a 333
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|a This book focuses on the interaction between different energy vectors, that is, between electrical, thermal, gas, and transportation systems, with the purpose of optimizing the planning and operation of future energy systems. More and more renewable energy is integrated into the electrical system, and to optimize its usage and ensure that its full production can be hosted and utilized, the power system has to be controlled in a more flexible manner. In order not to overload the electrical distribution grids, the new large loads have to be controlled using demand response, perchance through a hierarchical control set-up where some controls are dependent on price signals from the spot and balancing markets. In addition, by performing local real-time control and coordination based on local voltage or system frequency measurements, the grid hosting limits are not violated.
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