Chaotic Dynamics in Smart Grid and Suppression Scheme via Generalized Fuzzy Hyperbolic Model
This paper presents a method to control chaotic behavior of a typical Smart Grid based on generalized fuzzy hyperbolic model (GFHM). As more and more distributed generations (DG) are incorporated into the Smart Grid, the chaotic behavior occurs increasingly. To verify the behavior, a dynamic model w...
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2014-01-01
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Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2014/761271 |
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doaj-29ede093a74d4a3ca05e583847b7127b2020-11-25T00:18:38ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472014-01-01201410.1155/2014/761271761271Chaotic Dynamics in Smart Grid and Suppression Scheme via Generalized Fuzzy Hyperbolic ModelQiuye Sun0Yaguang Wang1Jun Yang2Yue Qiu3Huaguang Zhang4College of Information Science and Engineering, Northeastern University, Shenyang 110004, ChinaCollege of Information Science and Engineering, Northeastern University, Shenyang 110004, ChinaCollege of Information Science and Engineering, Northeastern University, Shenyang 110004, ChinaDelft Center for System and Control, Delft University of Technology, Mekelweg 2, 2628 CD Delft, The NetherlandsCollege of Information Science and Engineering, Northeastern University, Shenyang 110004, ChinaThis paper presents a method to control chaotic behavior of a typical Smart Grid based on generalized fuzzy hyperbolic model (GFHM). As more and more distributed generations (DG) are incorporated into the Smart Grid, the chaotic behavior occurs increasingly. To verify the behavior, a dynamic model which describes a power system with DG is presented firstly. Then, the simulation result shows that the power system can lead to chaos under certain initial conditions. Based on the universal approximation of GFHM, we confirm that the chaotic behavior could be suppressed by a new controller, which is designed by means of solving a linear matrix inequality (LMI). This approach could make a good application to suppress the chaos in Smart Grid. Finally, a numerical example is given to demonstrate the effectiveness of the proposed chaotic suppression strategy.http://dx.doi.org/10.1155/2014/761271 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Qiuye Sun Yaguang Wang Jun Yang Yue Qiu Huaguang Zhang |
spellingShingle |
Qiuye Sun Yaguang Wang Jun Yang Yue Qiu Huaguang Zhang Chaotic Dynamics in Smart Grid and Suppression Scheme via Generalized Fuzzy Hyperbolic Model Mathematical Problems in Engineering |
author_facet |
Qiuye Sun Yaguang Wang Jun Yang Yue Qiu Huaguang Zhang |
author_sort |
Qiuye Sun |
title |
Chaotic Dynamics in Smart Grid and Suppression Scheme via Generalized Fuzzy Hyperbolic Model |
title_short |
Chaotic Dynamics in Smart Grid and Suppression Scheme via Generalized Fuzzy Hyperbolic Model |
title_full |
Chaotic Dynamics in Smart Grid and Suppression Scheme via Generalized Fuzzy Hyperbolic Model |
title_fullStr |
Chaotic Dynamics in Smart Grid and Suppression Scheme via Generalized Fuzzy Hyperbolic Model |
title_full_unstemmed |
Chaotic Dynamics in Smart Grid and Suppression Scheme via Generalized Fuzzy Hyperbolic Model |
title_sort |
chaotic dynamics in smart grid and suppression scheme via generalized fuzzy hyperbolic model |
publisher |
Hindawi Limited |
series |
Mathematical Problems in Engineering |
issn |
1024-123X 1563-5147 |
publishDate |
2014-01-01 |
description |
This paper presents a method to control chaotic behavior of a typical Smart Grid based on generalized fuzzy hyperbolic model (GFHM). As more and more distributed generations (DG) are incorporated into the Smart Grid, the chaotic behavior occurs increasingly. To verify the behavior, a dynamic model which describes a power system with DG is presented firstly. Then, the simulation result shows that the power system can lead to chaos under certain initial conditions. Based on the universal approximation of GFHM, we confirm that the chaotic behavior could be suppressed by a new controller, which is designed by means of solving a linear matrix inequality (LMI). This approach could make a good application to suppress the chaos in Smart Grid. Finally, a numerical example is given to demonstrate the effectiveness of the proposed chaotic suppression strategy. |
url |
http://dx.doi.org/10.1155/2014/761271 |
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