Damping Low Frequency Oscillations via FACTS-POD Controllers Tuned by Bees Algorithm

Abstract

Power systems are often subject to low frequency electro-mechanical oscillations resulting from electrical disturbances and consequence of the development of interconnection of large power system. Flexible Alternating Current Transmission System (FACTS) devices with Power Oscillation Damping (POD) as the supplemet controller has been recent research interest in damping the oscillation. Bees Algorithm (BA) is applied to optimized the parameters of the FACTS-POD controller. The main objective of optimization is to improve the system stability by moving the electro-mechanical eigenvalues on the s-plane to the left as far as possible. The controller is tested on a 3-machine 9-bus system and simulated in PSAT in MATLAB environment. The system is disturbed by increasing 10% mechanical input to Generator 2 and second disturbance is the system experiencing a three-phase fault. The performance of the system with the FACTS-POD controller is observed in terms of position of electromechanical eigenvalues on s-plane and damping responses of power oscillations where both terms shows significant improvement as compared to the system without FACTS-POD controller.

Artificial Intelligence-Based Power System Stabilizers for Frequency Stability Enhancement in Multi-Machine Power Systems

“…The results from the proposed model are compared to the reference results to demonstrate the effectiveness of the proposed technique in contrast to other approaches [47] considering operating condition case two. Comparing the results of the proposed model and reference model [47] in the damping of EMs in the three-machine power system is listed in Table XIV.…”

“…The results from the proposed model are compared to the reference results to demonstrate the effectiveness of the proposed technique in contrast to other approaches [47] considering operating condition case two. Comparing the results of the proposed model and reference model [47] in the damping of EMs in the three-machine power system is listed in Table XIV. The eigenvalues in the Table XIV for three examples, including the proposed model, and the literature published models in [47] with the identical operating circumstances, were gathered in this case for comparative reasons.…”

“…Comparing the results of the proposed model and reference model [47] in the damping of EMs in the three-machine power system is listed in Table XIV. The eigenvalues in the Table XIV for three examples, including the proposed model, and the literature published models in [47] with the identical operating circumstances, were gathered in this case for comparative reasons. The reference model utilized Bees search method to optimize the PSS with UPFC, SSSC, TCSC, STATCOM and SVC controls while the proposed model utilized FFA to optimized PSS with IPFC.…”

MIMO Adaptive Bspline-Based Wavelet NeuroFuzzy Control for Multi-Type FACTS

“…In [9], intelligent coordinated control for wide area FACTS installation has been proposed considering only the shunt FACTS controllers. An evolutionary control technique to tune the parameters of conventional LFOs damping control has been proposed in [10]. The control design involves system linearization and thus validated only for small signal stability.…”