Probabilistic multi-stability operational boundaries in power systems with high penetration of power electronics

Mochamad, Rian Fatah; Preece, Robin; Hasan, Kazi N.

doi:10.1016/j.ijepes.2021.107382

Cited by 11 publications

(6 citation statements)

References 20 publications

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“…In this governor model, it was assumed that the GSC was set to 0. The combination of the turbine system with the speed governor generates the mechanical power of the governor, as defined in Equation (3).…”

Section: Governor Modelmentioning

confidence: 99%

“…For more information, see https://creativecommons.org/licenses/by-nc-nd/4.0/ mechanical power response. As a result of these differences, the system experiences oscillations [3], [4]. An electric power system requires voltage stability; however, changes in load conditions can lead to voltage instability, resulting in both undervoltage and overvoltage conditions.…”

Section: Introductionmentioning

confidence: 99%

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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: Governor Modelmentioning

confidence: 99%

Section: Introductionmentioning

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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“…A further classification is performed to distinguish the mode estimates of each class to poorly-and well-damped [51]. Afterwards, the critical mode, = cr cr cr j    , i.e., the mode presenting the lowest damping factor is determined and is used as a direct indicator of the overall system small-signal stability [52]. The mode classification procedure is illustrated in Fig.…”

Section: A Small-signal Analysismentioning

confidence: 99%

A Three-Level Distributed Architecture for the Real-Time Monitoring of Modern Power Systems

2022

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“…Generally, the uncertainty in output variables is treated as, damping ratios in [15,18,16], damping of critical eigenvalue in [15,16,17,19,20], participation factors in [15,18], critical eigenvalues in [21], in this reference, Gram-Charlier expansion-based technique is used to draw the PDF of critical eigenvalues from the Weibull of wind speed. In [22], the damping ratio is determined and is considered as a direct indicator of the overall system small-signal stability, the proposed multi-stability framework is highly impacted by large signal disturbance rotor angle stability and the frequency. In [23], a non-statistical uncertainty based control rescheduling scheme is proposed to enhance the stability margin of the system, it composed of two steps: 1) determination of boundaries of critical eigenvalues and 2) optimal setting of the controllers.…”

Section: Introductionmentioning

confidence: 99%

Voltage and small signal stability assessment of power systems under load and renewable energy sources uncertainties

Naidji

Boudour

2023

Preprint

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Due to the deregulation of the electricity market, power systems are showing increased uncertainties related to loads and renewable sources. Such uncertainties will involve the assessment of the impact of uncertain variables on the control and monitoring of the future power systems. Identification and classification of influential uncertain variables are imperative for power system stability assessment in future smart grid because they provide guidance for handling uncertainty for electrical system operators for management and securing the power grid operations with efficient control and monitoring. In this paper, a probabilistic analysis methodology is proposed for the assessment of the impact of critical uncertain variables on voltage and small-signal stability using quantitative sensitivity technique. The proposed methodology is carried out with different level of penetration of renewable sources and the impacts of influential variables are treated and discussed. The proposed methodology is performed using the modified IEEE 14-bus benchmark. The performances of the probability density function graphs for stability indexes are used for assessing their sensitivities.

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Probabilistic multi-stability operational boundaries in power systems with high penetration of power electronics

Cited by 11 publications

References 20 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

A Three-Level Distributed Architecture for the Real-Time Monitoring of Modern Power Systems

Voltage and small signal stability assessment of power systems under load and renewable energy sources uncertainties

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