Optimal Design of PSS on SMIB Using Particle Swarm Optimization

Djalal, Muhammad Ruswandi; Saini, Makmur; Yunus, A. M. Shiddiq

doi:10.31963/intek.v8i1.2893

Cited by 5 publications

(1 citation statement)

References 7 publications

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“…SSC efectively eliminated interarea subsynchronous oscillations and voltage variations by adopting ACO-based control with the voltage source. Muhammad et al [12] optimized PSS parameters using the PSO algorithm. Te perfect performance of PSS ensured the stability of the SMIB rotor's frequency response and power angle.…”

Section: Introductionmentioning

confidence: 99%

Coordinate Control for an SMIB Power System with an SVC

Kada

Bensenouci

2023

Applied Computational Intelligence and Soft Computing

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To improve power quality in power systems vulnerable to current disturbances and unbalanced loads, a hybrid control scheme is proposed in the present paper. A hybrid adaptive robust control strategy is devised for an SMIB power system equipped with a static VAR compensator to ensure robust transient stability and voltage regulation (SVC). High-order sliding mode control is combined with a dynamic adaptive backstepping algorithm to form the basis of this technique. To create controllers amenable to practical implementation, this method uses a high-order SMIB-SVC model and introduces dynamic constraints, in contrast to prior approaches. Improved transient and steady-state performances of the turbine steam-valve system are the goals of the dynamic backstepping controller. A Lyapunov-based adaptation law is developed to address the ubiquitous occurrence of parametric and nonparametric uncertainty in electrical power transmission systems due to the damping coefficient, unmodeled dynamics, and external disturbance. High-order sliding mode (HOSM) control is used for generator excitation and SVC devices to construct finite-time controllers. The necessary derivatives for HOSM control are calculated using high-order numerical differentiators to prevent simulation instability and convergence issues. Simulations demonstrate that the suggested method outperforms conventionally coordinated and hybrid adaptive control schemes regarding actuation efficiency and stability.

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Section: Introductionmentioning

confidence: 99%