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Decentralized Intelligence in Energy Efficient Power Systems

  • Power systems are increasingly built from distributed generation units and smart consumers that are able to react to grid conditions. Managing this large number of decentralized electricity sources and flexible loads represent a very huge optimization problem. Both from the regulatory and the computational perspective, no one central coordinator can optimize this overall system. DecentralizedPower systems are increasingly built from distributed generation units and smart consumers that are able to react to grid conditions. Managing this large number of decentralized electricity sources and flexible loads represent a very huge optimization problem. Both from the regulatory and the computational perspective, no one central coordinator can optimize this overall system. Decentralized control mechanisms can, however, distribute the optimization task through price signals or market-based mechanisms. This chapter presents the concepts that enable a decentralized control of demand and supply while enhancing overall efficiency of the electricity system. It highlights both technological and business challenges that result from the realization of these concepts, and presents the state-of-the-art in the respective domains.show moreshow less

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Metadaten
Document Type:Part of a Book
Zitierlink: https://opus.hs-offenburg.de/4259
Bibliografische Angaben
Title (English):Decentralized Intelligence in Energy Efficient Power Systems
Author:Anke WeidlichStaff MemberORCiDGND, Harald Vogt, Wolfgang Krauss, Patrik Spiess, Marek Jawurek, Martin JohnsStaff Member, Stamatis Karnouskos
Year of Publication:2012
Place of publication:Berlin, Heidelberg
Publisher:Springer
First Page:467
Last Page:486
Parent Title (English):Handbook of Networks in Power Systems
Editor:Alexey Sorokin, Steffen Rebennack, Panos M. Pardalos, Niko A. Iliadis, Mario V. F. Pereira
ISBN:978-3-642-23192-6
DOI:https://doi.org/10.1007/978-3-642-23193-3
Language:English
Inhaltliche Informationen
Institutes:Forschung / INES - Institut für nachhaltige Energiesysteme
Fakultät Maschinenbau und Verfahrenstechnik (M+V)
Institutes:Bibliografie
DDC classes:600 Technik, Medizin, angewandte Wissenschaften
Tag:Electric power production
Formale Angaben
Open Access: Closed Access 
Licence (German):License LogoUrheberrechtlich geschützt