Rotor Angle and Voltage Stability Analysis with Fault Location Identification on the IEEE 9 Bus System

Khan, Hafiz Farhaj; Hanif, Aamir; Anwar, Naveed

doi:10.48084/etasr.3175

Cited by 4 publications

(3 citation statements)

References 24 publications

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“…The load growth is outpacing the investment in transmission lines and power generation. As a result, incidents can easily lead to power system instability and outages [3,4]. Therefore, rapid detection of power system instability is crucial [1], but traditional analytical methods cannot achieve it.…”

Section: Introductionmentioning

confidence: 99%

Multi-Goal Feature Selection Function in Binary Particle Swarm Optimization for Power System Stability Classiﬁcation

Nguyen

2023

Eng. Technol. Appl. Sci. Res.

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The input feature is vital for power system stability classification. Feature selection can reduce the size of the input feature, making classifier training easier, and the small size of the input feature subset also reduces the cost of purchasing sensor measurement equipment. Therefore, feature selection works require an efficient seeking method. Binary Particle Swarm Optimization (BPSO) is a simple and easy-to-implement evolutionary calculation technique. While the classification accuracy of BPSO is essential, it is also needed to drive the algorithm to minimize the number of variables. The proposed approach is to apply a multi-objective function to help the BPSO algorithm identify the subset of features that can achieve the minimum number of variables and the highest classification accuracy. The k-nearest neighbor classifier is employed in the experiments to evaluate the classification performance on the IEEE 39-bus dataset.

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Section: Introductionmentioning

confidence: 99%

Multi-Goal Feature Selection Function in Binary Particle Swarm Optimization for Power System Stability Classiﬁcation

Nguyen

2023

Eng. Technol. Appl. Sci. Res.

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“…Generally, stability is considered essential to maintain the synchronous performance of generators. Tis stability aspect is under the dynamic infuence of the generators' rotor angle response [31][32][33].…”

Section: Introductionmentioning

confidence: 99%

Stability Analysis and Voltage Control in the Power System Based on the Hybrid Automata Model

Forouzesh

Eslami

Shahbazzadeh

2023

International Transactions on Electrical Energy Systems

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This paper proposes a systematic method using the hybrid automata (HA) model for supervisory management design of power systems to increase stability. The HA model monitors the behavior of the power system and derives a model from which the system’s stability is evaluated. In the modeling framework, the hybrid system formalism regulates continuous dynamics and discrete switching behavior. The proposed method extracts a system’s control graph, state space, and transfer function, facilitating voltage stability evaluation. A discrete event system (DES) is employed to manage disturbances resulting from load surges, generator outages, capacitor banks, and under-load tap changer (ULTC) transformers. The ULTC transformer and the capacitor bank are utilized to examine the feasibility and effectiveness of the proposed supervisory controller design approach in the presence of distributed generation (DG). Simulation results showed the effectiveness of the HA-based supervisory controller in improving the control and voltage stability, as demonstrated by the generator rotor angle and bus voltage responses, power system eigenvalues, and the stability theorem of linear switching systems. The proposed method provides a promising solution for managing power system stability.

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“…Sub-synchronous oscillations are mitigated with a superconducting magnetic energy storage system in [15]. In [16], rotor angle and voltage stability were studied during fault conditions with fault location identification. In [17], voltage stability assessment in real time was conducted.…”

Section: Introductionmentioning

confidence: 99%

Exploring the Enhanced Performance of a Static Synchronous Compensator with a Super-Capacitor in Power Networks

Vaidya

Chandrakar²

2022

Eng. Technol. Appl. Sci. Res.

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The use of a super-capacitor as a storage device integrated with a Voltage source converter-based shunt-connected Static Synchronous Compensator (STATCOM) is proposed for improving the STATCOM performance during sudden large disturbances in a power network. The super-capacitor was applied across the STATCOM capacitor during the disturbance condition. MATLAB simulations were carried out for the verification of a secondary function of the STATCOM like oscillation damping, transient stability improvement, and security of the power network with the storage device. The validation of the proposed super-capacitor was carried out in MATLAB.

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Rotor Angle and Voltage Stability Analysis with Fault Location Identification on the IEEE 9 Bus System

Cited by 4 publications

References 24 publications

Multi-Goal Feature Selection Function in Binary Particle Swarm Optimization for Power System Stability Classiﬁcation

Multi-Goal Feature Selection Function in Binary Particle Swarm Optimization for Power System Stability Classiﬁcation

Stability Analysis and Voltage Control in the Power System Based on the Hybrid Automata Model

Exploring the Enhanced Performance of a Static Synchronous Compensator with a Super-Capacitor in Power Networks

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