DocumentCode :
666905
Title :
Analysis of potential instabilities in agent-based smart grid control systems
Author :
Linnenberg, Tobias ; Wior, Ireneus ; Fay, Alexander
Author_Institution :
Inst. of Autom. Technol., Helmut-Schmidt-Univ., Hamburg, Germany
fYear :
2013
fDate :
10-13 Nov. 2013
Firstpage :
7422
Lastpage :
7427
Abstract :
While the amount of electricity generated from small scale, distributed, renewable energy sources rises, the imminent risk of a system collapse induced by a tailspin of control elements is counteracted by a raise in control complexity. As decentralized controls are a viable solution for distributed and complex problems many systems envisioned to tackle tomorrows challenges of our electricity grid are agent based networks. The complexity of such systems makes them difficult to analyze and hard to handle. One of the major problems coming with decentralized control solutions are stability problems resulting in oscillations of the controlled systems. In this paper we discuss disturbances in smart grids resulting in system instabilities and present a possible solution for predicting and handling this type of problems.
Keywords :
control engineering computing; decentralised control; multi-agent systems; power engineering computing; power generation control; power system stability; smart power grids; agent based networks; agent-based smart grid control systems; complex problems; control complexity; decentralized control solutions; distributed energy sources; distributed problems; electricity grid; potential instability analysis; renewable energy sources; small scale energy sources; stability problems; Control systems; Delays; Electricity; Oscillators; Power generation; Smart grids; Stability analysis; decentralized systems; multi-agent-systems; oscillations; smart grid; stability analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics Society, IECON 2013 - 39th Annual Conference of the IEEE
Conference_Location :
Vienna
ISSN :
1553-572X
Type :
conf
DOI :
10.1109/IECON.2013.6700368
Filename :
6700368
Link To Document :
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