Controlling Chaos and Voltage Collapse using Layered Recurrent Network-based PID-SVC in Power Systems

Authors : I Made Ginarsa; I Made Ari Nrartha; Agung Budi Muljono
article cite 7 Year 2013
source: TELKOMNIKA (Telecommunication Computing Electronics and Control)
Abstract

Chaos and voltage collapse occurred in critical power systems due to disturbing of energy. PID-SVC layered reccurrent neural network-based (LRN-based PID-SVC) was proposed to solve these problems. The PID is used to control chaos and voltage collapse. Meanwhile, an SVC LRN-based is used to maintan the load voltage. By using the proposed controller, chaos and voltage collapse are able to suppress and maintain the load voltage around the setting value. When the maximum load isforced to load bus, the reactive power supplied by SVC, SVC additional voltage and load voltage are at the values of j 0.1127 , 4.0095ยด10 - 3 and 0.980010 pu, respectively. Furthemore, the proposed controller gives better response than PI-SVC controller.


Concepts :
Power System Optimization and Stability
Smart Grid and Power Systems
Advanced Algorithms and Applications
article cite 7 Year 2013 source TELKOMNIKA (Telecommunication Computing Electronics and Control)
SDGs
Affordable and clean energy
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2013 7