DocumentCode :
1717541
Title :
Classification of economic approaches for stability in smart grids
Author :
Keller, Corinne ; Manser, Daniel ; Vogler, Sandro ; Wache, Holger
Author_Institution :
Institute for Information Systems, School of Business, University of Applied Sciences and Arts Northwestern Switzerland, Olten, Switzerland
fYear :
2015
Firstpage :
1
Lastpage :
5
Abstract :
Several European countries are increasingly focusing on renewable energy in order to satisfy their demand. A core problem of these sources is their reliability, which means less continuously available energy is accessible. Smart grids are trying to cope with this problem by adding intelligence to the net, which tries to adjust the load according to the current produced amount of electrical energy. Many approaches try to tackle down this problem by technical means. This paper analyses existing economical approaches for smart grid environments and highlights the unique features and important properties of a broad selection of papers. Classification criteria are derived from existing literature. Afterwards, the most prominent papers are used to demonstrate how the classification scheme can be applied.
Keywords :
Biological system modeling; Economics; Energy exchange; Load management; Pricing; Real-time systems; Smart grids; Costs; Power generation economics; Power quality; Power system stability; Smart grids;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
European Energy Market (EEM), 2015 12th International Conference on the
Conference_Location :
Lisbon, Portugal
Type :
conf
DOI :
10.1109/EEM.2015.7216601
Filename :
7216601
Link To Document :
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