Simulation of Static Var Compensator in IEEE 14 Bus System for Enhancing Voltage Stability and Compensation

Priyadhershni, M.; Udhayashankar, C.; Chinnaiyan, V. Kumar

doi:10.1007/978-81-322-2119-7_27

Cited by 6 publications

(3 citation statements)

References 5 publications

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“…If the system power is a capacitive reactive load (leading), the SVC will increase the reactor power to reduce the VAR of the system so that the system voltage drops. In inductively reactive (lagging) conditions, SVC reduces the reactor power to increase the VAR of the system, such that the system voltage increases [54], [55]. In SVC, the amount of VAR and voltage is regulated by adjusting the amount of inductive reactive power compensation in the reactor, while the capacitor bank is static.…”

Section: F Static Var Compensatormentioning

confidence: 99%

Stability Enhancement of Sulselrabar Electricity System Using Mayfly Algorithm Based on Static Var Compensator and Multi-Band Power System Stabilizer PSS2B

Djalal,

Robandi,

Prakasa

2023

IEEE Access

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An additional controller in an electric power system is currently required to increase the system stability, especially when a disturbance occurs. The stability of the multimachine system can be increased by installing a Static Var Compensator (SVC) and Power System Stabilizer (PSS). However, SVC and PSS equipment require precise coordination to determine the optimal location and parameters. This study presents an optimal analysis of SVC coordination with single-band PSS1A and multi-band PSS2B (MB-PSS2B) in the South, Southeast and West Sulawesi (Sulselrabar) electrical systems. An artificial intelligence method based on the Mayfly Optimization Algorithm (MOA) is proposed to optimize the location and parameters of the SVC and PSS. A comparative investigation related to controller parameter optimization from a previous work was used to measure the effectiveness of the MOA based on the Firefly Algorithm (FA) and Particle Swarm Optimization (PSO). Performance analysis using the time-domain simulation method to review the speed deviation response, field voltage response, and rotor angle response for each generator, as well as eigenvalue analysis for each control scheme when there is a change in the load disturbance on generators 1 and 13. The results show an increase in bus voltage from critical to marginal conditions and a decrease in network losses after installing SVC on bus 31 of 40 MW capacity. The application of MB-PSS2B based on the MOA provided an increased damping ratio, optimal speed response, rotor angle, field voltage generator, and eigenvalue system after installing 14 PSS.

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Section: F Static Var Compensatormentioning

confidence: 99%

Stability Enhancement of Sulselrabar Electricity System Using Mayfly Algorithm Based on Static Var Compensator and Multi-Band Power System Stabilizer PSS2B

Djalal,

Robandi,

Prakasa

2023

IEEE Access

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“…Modeling and simulation of IEEE 14 bus system were carried out in [7] SVC consists of parallel connection of:…”

Section: Static Var Compensator (Svc)mentioning

confidence: 99%

Operation of Thyristor Controlled Reactor and Thyristor Switched Capacitor of Static var Compensator for Voltage Variations

M.S. Priyadarshini

2022

sajet

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The deviations that occur in electrical power supplied by utilities to consumers are termed as power quality disturbances. Due to power quality disturbances, a change is evident for a short duration in voltage, current or frequency. In order to maintain constant voltage to the connected load, compensation devices are used based on flexible AC transmission systems (FACTS) technology. Based on an increase or decrease in voltage, suitable correction action can be taken by power electronic based devices. The voltage and current variations of static VAR compensator, shunt connected flexible AC transmission system device, is analyzed. The variations in system voltage are due to sag and swell. The operation of thyristor-controlled reactor (TCR) and thyristor switched capacitor (TSC) are analyzed which together comprise static VAR compensator.

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“…A Static VAR Compensator was developed by Priyadhershni et al [4] to enhance the voltage profile of the standard IEEE 5 and 14 bus systems. In this paper SVC FACTS controller, the operational capability is observed with a perturbation in load.…”

Section: Introductionmentioning

confidence: 99%

Machine Learning Algorithm Based Static VAR Compensator to Enhance Voltage Stability of Multi-machine Power System

Machavarapu¹,

Rao²,

Rao³

2019

MMEP

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A novel Extreme learning Machine (ELM) algorithm based tuning of the parameters of the SVC FACTS controller was implemented in order to control voltage at various buses over a wide range. The ELM algorithm is a non-iterative method which forecasts the parameters of SVC FACTS controller quickly and effectively while Back Propagation Neural Network (BPNN) algorithm is an iterative method which takes a long time for training as well prediction of parameters. The load perturbation is one of the nonlinear disturbances which is considered to investigate the operational capability of the control methodology. Standard IEEE 5 and 30 bus systems are considered as test systems and operation of two models of SVC observed with the BPNN and ELM controllers. The weakest bus is identified using L-Index method which is the optimal location of the SVC FACTS. Results show that the novel ELM method expeditiously and efficiently tunes the parameters of the SVC FACTS controller online such that the voltage regulated to desired value when there is a perturbation in load.

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Simulation of Static Var Compensator in IEEE 14 Bus System for Enhancing Voltage Stability and Compensation

Cited by 6 publications

References 5 publications

Stability Enhancement of Sulselrabar Electricity System Using Mayfly Algorithm Based on Static Var Compensator and Multi-Band Power System Stabilizer PSS2B

Stability Enhancement of Sulselrabar Electricity System Using Mayfly Algorithm Based on Static Var Compensator and Multi-Band Power System Stabilizer PSS2B

Operation of Thyristor Controlled Reactor and Thyristor Switched Capacitor of Static var Compensator for Voltage Variations

Machine Learning Algorithm Based Static VAR Compensator to Enhance Voltage Stability of Multi-machine Power System

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