A novel load shedding methodology to mitigate voltage instability in power system

Chappa, H.; Thakur, Tripta

doi:10.20998/2074-272x.2022.3.09

Cited by 2 publications

(3 citation statements)

References 13 publications

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“…The main reason for voltage breakdown under these circumstances is a lack of reactive power. As a result, research into voltage instability and voltage collapse remains a prominent priority in power system management and planning [4], [5] provides a general explanation of power system stability, concepts, and classifications. Dynamic and static stability techniques may be used to analyse voltage stability.…”

Section: Introductionmentioning

confidence: 99%

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Stability analysis of power system under n-1 contingency condition

Baleboina,

Rudramoorthy

2024

Bulletin EEI

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Several voltage stability indices (VSIs) have been developed to assess the potential for voltage collapse. However, certain indexes are computationally costly. Meanwhile, some have been noted to underperform across various conditions. This work proposes a novel line index called the super voltage stability index (SVSI) to calculate the system's voltage stability margin (VSM). The suggested approach is based on the transmission system's two bus systems. The reactive power loss and N-1 contingency conditions to voltage sensitivity is a unique calculation approach used in this study to identify voltage instability. Day to day, the demand for electric power is being increased due to incessant increments in technology and population growth. Therefore, the power system networks are under pressure. The operational conditions of transmission system networks are affected at this point, which may result in voltage collapse. Regular monitoring of power supply is essential to avert voltage collapse. The effectiveness of the suggested index has been assessed using the IEEE 5 and 30-bus systems across diverse operating scenarios, including variations in active and reactive power loading as well as single line losses. The findings indicate that SVSI provides a more reliable indication of the proximity to voltage collapse when compared to conventional line VSIs.

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Section: Introductionmentioning

confidence: 99%

“…In comparison to dynamic analysis, static stability analysis requires less computational time. Therefore, the system is easy to analyse and model [4], [5].…”

Section: Introductionmentioning

confidence: 99%

Stability analysis of power system under n-1 contingency condition

Baleboina,

Rudramoorthy

2024

Bulletin EEI

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“…Теорія Introduction. Power systems are one of the most complex and nonlinear systems, with configurations and parameters fluctuating with time thus require a fully nonlinear model and an adaptive control scheme for adequate and sound operating environment [1][2][3][4]. Therefore, guaranteeing system stability for all operating condition is a major concern for utility companies.…”

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confidence: 99%

Indirect adaptive fuzzy finite time synergetic control for power systems

Khatir

Bouchama

Benaggoune

et al. 2023

Electrical Engineering & Electromechanics

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Introduction. Budget constraints in a world ravenous for electrical power have led utility companies to operate generating stations with full power and sometimes at the limit of stability. In such drastic conditions the occurrence of any contingency or disturbance may lead to a critical situation starting with poorly damped oscillations followed by loss of synchronism and power system instability. In the past decades, the utilization of supplementary excitation control signals for improving power system stability has received much attention. Power system stabilizers (PSS) are used to generate supplementary control signals for the excitation system in order to damp low-frequency oscillations caused by load disturbances or short-circuit faults. Problem. Adaptive power system stabilizers have been proposed to adequately deal with a wide range of operating conditions, but they suffer from the major drawback of requiring parameter model identification, state observation and on-line feedback gain computation. Power systems are nonlinear systems, with configurations and parameters that fluctuate with time that which require a fully nonlinear model and an adaptive control scheme for a practical operating environment. A new nonlinear adaptive fuzzy approach based on synergetic control theory which has been developed for nonlinear power system stabilizers to overcome above mentioned problems. Aim. Synergetic control theory has been successfully applied in the design of power system stabilizers is a most promising robust control technique relying on the same principle of invariance found in sliding mode control, but without its chattering drawback. In most of its applications, synergetic control law was designed based on an asymptotic stability analysis and the system trajectories evolve to a specified attractor reaching the equilibrium in an infinite time. In this paper an indirect finite time adaptive fuzzy synergetic power system stabilizer for damping local and inter-area modes of oscillations for power systems is presented. Methodology. The proposed controller design is based on an adaptive fuzzy control combining a synergetic control theory with a finite-time attractor and Lyapunov synthesis. Enhancing existing adaptive fuzzy synergetic power system stabilizer, where fuzzy systems are used to approximate unknown system dynamics and robust synergetic control for only providing asymptotic stability of the closed-loop system, the proposed technique procures finite time convergence property in the derivation of the continuous synergetic control law. Analytical proofs for finite time convergence are presented confirming that the proposed adaptive scheme can guarantee that system signals are bounded and finite time stability obtained. Results. The performance of the proposed stabilizer is evaluated for a single machine infinite bus system and for a multi machine power system under different type of disturbances. Simulation results are compared to those obtained with a conventional adaptive fuzzy synergetic controller.

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A novel load shedding methodology to mitigate voltage instability in power system

Cited by 2 publications

References 13 publications

Stability analysis of power system under n-1 contingency condition

Stability analysis of power system under n-1 contingency condition

Indirect adaptive fuzzy finite time synergetic control for power systems

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