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What is Flexible Alternating Current Transmission Systems (FACTS)

Handbook of Research on Artificial Intelligence Techniques and Algorithms
is a general term used for consortium of technologies that drastically increases the capacity of the transmission network while maintaining or improving voltage stability and grid reliability.
Published in Chapter:
Comparison of Uncertainties in Membership Function of Adaptive Lyapunov NeuroFuzzy-2 for Damping Power Oscillations
Laiq Khan (COMSATS Institute of Information Technology, Pakistan), Rabiah Badar (COMSATS Institute of Information Technology, Pakistan), Saima Ali (COMSATS Institute of Information Technology, Pakistan), and Umar Farid (COMSATS Institute of Information Technology, Pakistan)
DOI: 10.4018/978-1-4666-7258-1.ch009
Abstract
The direct focus of this chapter is to explore the potential of online Adaptive NeuroFuzzy Type-2 (ANFT2) control system for damping inter-area oscillations using Static Synchronous Compensator (STATCOM). The nonlinear ANFT2-based direct control scheme is proposed to damp inter-area oscillations by utilizing its model free and universal approximation capabilities. The Gaussian and triangular membership functions with different variations of uncertain mean and standard deviation are considered for ANFT2. The adaptation mechanism utilizes gradient descent-based back-propagation algorithm using Lyapunov stability criteria to update the rule parameters. The performance evaluation of proposed control strategy has been validated using two and three machine power systems. The nonlinear time domain simulations reveal that ANFT2 has excellent damping capabilities as compared to conventional PI control. Simulation results for different performance indices further emphasize the optimal performance of ANFT2 with uncertain mean and variance of triangular membership function in transient and steady state region.
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