Abstract

This paper examines the influence of Static Synchronous Series Compensator (SSSC) on the oscillation damping control in the network. The performance of Flexible AC Transmission System (FACTS) controller highly depends upon its parameters and appropriate location in the network. A new Adaptive Inertia Weight Particle Swarm Optimization (AIWPSO) method is employed to design the parameters of the SSSC-base controller. In the proposed controller, the proper signal of the power system such as rotor angle is used as the feedback. AIWPSO technique has high flexibility and balanced mechanism for the local and global research. The proposed controller is compared with a Genetic Algorithm (GA) based controller that confirms the operation of the controller. To show the integrity of the proposed controller method, the achievement of the simulations is done out in a single-machine infinite-bus and multi-machine grid under multi turmoil.

Highlights

  • Stability studies are mainly classified into two original areas: small signal [1] and [2] and transient [3] and [4]

  • In order to compare the effectiveness of the proposed approach, the simulations are done in different statuses

  • The new Adaptive Inertia Weight Particle Swarm Optimization (AIWPSO) algorithm was used to find the optimal amounts of the Synchronous Series Compensator (SSSC) controller

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Summary

Introduction

Stability studies are mainly classified into two original areas: small signal [1] and [2] and transient [3] and [4]. A robust nonlinear coordinated generator excitation and TCPS controller is proposed in [21] for enhancing the transient stability of a grid, which a direct feedback linearization compensator via the excitation loop has been used for design to eliminate the interconnections and nonlinearities of the network Three controllers such as Power System Stabilizer (PSS), TCSC and SVC are simultaneously used in [22] for increasing the stability and the damping network oscillations, with the proposed method being tested on a multi-machine grid. A developed multi-objective optimization method to design an SSSC-based controller to performance improvements of a network is proposed in [25]. Conversion of this AC voltage to a specific voltage level, the line power flow is controlled

Power System Model
T3ps 1 T4ps two-stage lead-lag block
Objective Function Optimization
AIWPSO Algorithm
Simulation Results and Discussion
SMIB Power System
Objective function
Multi-Machine Power System
Conclusion
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