Online monitoring of voltage stability margin using PMU measurements

Sahu, Pankaj; Verma, M. K.

doi:10.11591/ijece.v10i2.pp1156-1168

Cited by 8 publications

(7 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Whereas, system variable based indices such as L index, stability index (SI) [16], voltage collapse index (VCI) [17], Lmn index [18], LQP index [19], fast voltage stability index (FVSI) [20], voltage collapse point indicators (VCPI) [21], P-index [22], use the admittance matrix elements, bus voltages or power flow details. Voltage stability margin can be calculated in less time and these indices are more suitable for online monitoring applications [23]. Review and comparison of various VSIs proposed by the researchers [24], [25] in the last thee decades clearly shows the scope for investigation for the present study.…”

mentioning

confidence: 88%

Voltage instability identification with modified L-index using synchrophasor data

Raju¹,

Shree²,

Kumar³

2021

IJEECS

View full text Add to dashboard Cite

In the prevailing open-access environment, one of the limitations for power exchanges has been voltage stability. The study of voltage stability necessitates a complete network representation. In this paper, the advantage of the dynamic behavior of generators is considered by incorporating dynamic models for generators. It has been shown dynamic models resulted in more accurate results compared to the conventional PV buses or ideal voltage source models that are used in most of the voltage stability studies. Moreover, the traditional L-index is augmented by incorporating real-time and synchronized phasor data collected from the optimally located phasor measurement units (PMU) in a wide-area measurement system (WAMS) to estimate more accurate voltage stability margins. Simulation studies carried out on IEEE 9-bus and IEEE 14-bus systems under various system conditions. It has been demonstrated that the inclusion of dynamic models and synchrophasor data from WAMS significantly improves the precision with which voltage stability analysis results are obtained.

show abstract

mentioning

confidence: 88%

Voltage instability identification with modified L-index using synchrophasor data

Raju¹,

Shree²,

Kumar³

2021

IJEECS

View full text Add to dashboard Cite

show abstract

“…The main problem of oscillation detection is the difficulty of measuring the parameters of the interconnected power system in real time and the synchronization between several areas [20]. Another difficulty is the monitoring of such a large-scale power system [21]. The solution proposed in our research; it is the integration of PMU into the interconnected power networks in order to improve the management and supervision of the interconnection system.…”

Section: The Role Of Interconnection Power System On the Environmentmentioning

confidence: 99%

Reduction in the use of fossil fuels by improving the interconnection power system oscillation

Tsebia

Bentarzi

2023

IJPEDS

View full text Add to dashboard Cite

Many international organizations have called for reducing usage of renewable energy as a means to reduce carbon dioxide emissions, this paper studies the case of electricity production based to fossil fuels. Currently existing solutions is to shift from fossil fuels to clean renewable energy. Electrical interconnections are used between large-scale areas; these interconnections have a major problem that is the phenomenon of oscillations. The amount of fossil energy used by power plants depends on the electrical load required. with these conditions it is not possible to reduce the amount of energy required to satisfy the electrical load required. The solution proposed in this paper is the improvement of interarea oscillation using phasor measurement unit technology for real-time monitoring and accuracy of measurements. We tested the proposed solution for the north African power system. The results show the importance of improving interconnection networks to reduce fossil fuels use.

show abstract

“…However, certain challenges are focused on the application to improve monitoring, control, dynamic state estimation, protective schemes, cybersecurity and complex solutions for our modern power systems [3]. It has been also proposed the integration of these devices not only at the transmission level for example for voltage stability with online PMU measurements [6], [7] but also distribution systems [8], [9] and microgrids [10]. The PMU is critically important for the operation of modern power systems due to the main desired variable when them (the phase angle with high sampling rate), whereas other instruments cannot.…”

Section: Virtualization Of Pmus and State Estimation Applicationsmentioning

confidence: 99%

IEC 61850-9-2 based module for state estimation in co-simulated power grids

Celeita

Ríos

Laverty

et al. 2023

IJECE

View full text Add to dashboard Cite

This paper presents a research context on the virtualization of phasor measurement units (PMUs) and real-time power grids simulation with state estimation. In this research, real-time simulation is introduced to use powerful features for validating state estimation solutions with PMUs. Virtual and online measurement equipment are reviewed in this manuscript to develop an innovative integration of the OpenPMU incorporated with a real-time simulation power grid and additional virtualized PMUs. The implementation of the platform has useful features within the infrastructure that allows the user to reproduce a detailed modeled power grid with simulation software. The use of real-time simulation tools brings several possibilities for improving testing and prototype assessment with higher precision in different applications. In this case, 2 tests power systems are evaluated by realistic integration of IEC61850-9-2 data utilization to observe the performance of a customized state estimation approach. The study implements a versatile methodology for commissioning OpenPMU devices, interacting simultaneously with additional virtual PMUs within the same simulation through sampled values (SV) to validate the measurement frames and assess the estimation with the generated data. Finally, the proposed work identifies the potential of virtualizing PMUs and the features of the OpenPMU applied to state estimation in conjunction with real-time simulation data.

show abstract

Online monitoring of voltage stability margin using PMU measurements

Cited by 8 publications

References 17 publications

Voltage instability identification with modified L-index using synchrophasor data

Voltage instability identification with modified L-index using synchrophasor data

Reduction in the use of fossil fuels by improving the interconnection power system oscillation

IEC 61850-9-2 based module for state estimation in co-simulated power grids

Contact Info

Product

Resources

About