Strategies for Decentralised Balancing Power

Kamper, Andreas; Eßer, Anke

doi:10.1007/978-3-642-01262-4_10

Cited by 21 publications

(10 citation statements)

References 8 publications

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“…As with VPPs, control can be centralized or decentralized. Concepts have already been developed to balance power demand and supply in a decentralized way [14]. In case of centralized control, rescheduling is either induced by non-binding signals (e. g., price signals) or by mandatory requests that have to be followed.…”

Section: Control Of Energy Production and Consumptionmentioning

confidence: 99%

“…VPPs do not only satisfy the consumers' demand for electrical energy but offer potential to reduce balancing power and the share of suppliers' peak load generators and to cut down expenses for customers [11]. The control of aggregated resources can be centralized or decentralized [14] where only locally available information is used as a basis for decisions. The latter approach leads to increased flexibility and scalability.…”

Section: Control Of Energy Production and Consumptionmentioning

confidence: 99%

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Simulations in the Smart Grid Field Study MeRegioSimulationen im MeRegio Smart Grid Feldtest

Hirsch

Hillemacher²,

Block³

et al. 2010

Itit

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The aim of the research project MeRegio is to meet the claim for more efficient decentralized energy systems by integrating advanced information and communication technologies (ICT) into all stages of the energy supply chain. Several marketplaces -in particular for power and for ancillary services -which are coupled to the technical energy infrastructure through a powerful and lawful ICT infrastructure should serve as a basis for an efficient and transparent coordination of energy supply, energy demand, and services. The developed concepts will be both validated by simulations and tested within a model region.Zusammenfassung Ziel des Forschungsvorhabens MeRegio ist es, den Forderungen nach effizienteren dezentralisierten Energiesystemen durch die Integration fortschrittlichster Informations-und Kommunikationstechnologien zu begegnen. Zur transparenten Koordination von Energieangebot, Energienachfrage und Dienstleistungen sollen mehrere Marktplätze dienen, u. a. für Wirkleistung und Systemdienstleistungen, welche an die technische Energie-Infrastruktur über eine leistungsfähige, rechtskonforme Informations-und Kommunikationsinfrastruktur angekoppelt sind. Die entwickelten Konzepte sollen sowohl durch Simulationen validiert als auch in einem Modellversuch regional erprobt werden.

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Section: Control Of Energy Production and Consumptionmentioning

confidence: 99%

Section: Control Of Energy Production and Consumptionmentioning

confidence: 99%

Simulations in the Smart Grid Field Study MeRegioSimulationen im MeRegio Smart Grid Feldtest

Hirsch

Hillemacher²,

Block³

et al. 2010

Itit

View full text Add to dashboard Cite

show abstract

“…Diese Freiheitsgrade werden dann zurückgemeldet und der Controller der dezentralen Anlage muss dann die Nachbarn auswählen, welche die eigene Energienutzung am besten kompensieren. Die Darstellung der Freiheitsgrade und das zu lösende Optimierungsproblem sind in [11] ausführlich beschrieben. Die 60 Nachbarn eines jeden Geräts liefern also eine Menge an möglichen Laständerungen für jeden angefragten Zeitpunkt zurück, aus denen dann die beste Kombination ausgewählt werden muss.…”

Section: Reduzierung Von Ungleichgewichten In Bilanzkreisenunclassified

Adaptives verteiltes Lastmanagement in Bilanzkreisen

Kamper

Schmeck

2012

Informatik Spektrum

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“…as well as with the fluctuation in their feed-in depending on foremost meteorological conditions. A paradigm shift from the current centralized control method assuming a static set of large controllable power plants to a decentralized, selforganized system of agents representing small active units (generators, loads, storages) in the power supply system has been proposed by the Smart Grid community for several years, and several self-organization approaches for coordinating these units have been proposed [1], [2], [3], [4].…”

Section: Introductionmentioning

confidence: 99%

Distributed coalitions for reliable and stable provision of frequency response reserve

Lehnhoff

Klingenberg

Blank

et al. 2013

2013 IEEE International Workshop on Inteligent Energy Systems (IWIES)

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The increase in renewable power generation causes an overall decrease in conventional power generation from largescale and highly predictable fossil power plants. Aside from market-based provision of active power schedules, these power plants are crucial for the provision of short-term automatic ancillary services such as frequency and voltage control. Substituting these plants for renewable generation units requires the latter to be capable of providing these ancillary services in order to guarantee a reliable and stable power supply. In this paper we present an integrated approach for identifying distributed coalitions of agents representing units capable of providing frequency response reserve. We present a method for calculating the individual droop control parameters of each participating device taking into account opportunity costs, device specific reliabilities (e.g. for photovoltaic or wind installations) as well as the small-signal stability of such a coalition for frequency response reserve.

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Strategies for Decentralised Balancing Power

Cited by 21 publications

References 8 publications

Simulations in the Smart Grid Field Study MeRegioSimulationen im MeRegio Smart Grid Feldtest

Simulations in the Smart Grid Field Study MeRegioSimulationen im MeRegio Smart Grid Feldtest

Adaptives verteiltes Lastmanagement in Bilanzkreisen

Distributed coalitions for reliable and stable provision of frequency response reserve

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