Use of local measurements to estimate voltage-stability margin

Vu, Khoi; Begović, Miroslav; Novosel, Damir; Saha, M.M.

doi:10.1109/59.780916

Cited by 423 publications

(171 citation statements)

References 6 publications

Supporting

Mentioning

150

Contrasting

Unclassified

Order By: Relevance

“…According to the theory, the point of collapse occurs whenever the Thevenin impedance is equal to the load impedance for the power system network. The system will be a normal state if the Thevenin impedances are smaller (or very much smaller) than the load impedance (Vu et al, 1999).…”

Section: Event B: Discussion For 10 Bus Systemmentioning

confidence: 99%

“…Therefore, both KF and EKF can also be used to track the Thevenin parameters (Vu et al, 1999;Warland and Holen, 2001;He et al, 2011;Chen et al, 2012). If comparing the results of the KF with the EKF, the overall performance is better in the EKF Science Publications AJAS algorithm.…”

Section: Discussion For the Implemented Voltage Stability Monitoring mentioning

confidence: 99%

“…The measurement updated equations are responsible for the feedback which incorporating a new measurement into the a priori estimates to obtain an improved a posterior estimate (Vu et al, 1999;Warland and Arne, 2001;Chen et al, 2012). The update time is actually the prediction stage of the DKF while the measurements update represented the correction stage.…”

Section: Ajasmentioning

confidence: 99%

See 2 more Smart Citations

Comparative Study of Different Kalman Filter Implementations in Power System Stability

Goh¹

2014

American Journal of Applied Sciences

View full text Add to dashboard Cite

Voltage stability and voltage collapse issues have in recent years begun to constitute an unpleasant warning to the operational security of power systems. Many techniques have been investigated in order to predict the point of voltage collapse. However, there are still several restrictions due to the insufficiency of current system state information. Accompanied by the commencement of the Phasor Measurement Units (PMUs) evolving technology, it donates a solution to enhance the existing power system state estimation. In consequence, the significances to develop preferable methods that would provide a preliminary warning before the voltage collapse had grabbed the attention. This study covers the forming of real-time system monitoring methods that able to provide a timely warning in the power system. The algorithms used to estimate the points of collapse are according to the theory that voltage instability is approximately linked to the maximum load ability of a transmission network. As a result, the critical operating conditions (peak of maximum deliverable power) come when the system Thevenin impedance is equal to the load impedance. This study focuses specifically on research about the motivation and the application of different Kalman filter implementations such as Discrete Kalman Filter (DKF), Extended Kalman Filter (EKF) and Unscented Kalman Filter (UKF) are used to track the Thevenin parameters. Therefore, the implications of this research paper are to determine the robustness and reliability of the proposed tracking methods. As compared to previous studies, the tracking process is just mainly focused on DKF method only, while the novelty throughout this study is to compare the performances and efficiencies of different Kalman filters in determining the maximum load ability on the 2 different types of test systems. Accompanying, the parameters are utilized in real-time voltage instability estimator to discover the current system's condition. In this study, the effectiveness of the proposed algorithms is assessed under a large number of random operating conditions on the Malaysia's power system 132 kV, 2-bus and 10-bus systems. Eventually, the results are differentiated by using the early-warning index of voltage collapse. All through the test cases, EKF method shows the best ability to track the Thevenin parameters as compared to DKF and UKF. Last but not least, the earlywarning index acted as a pioneer implication in estimating the maximum load power ability of the power system right before load shedding methods are being executed.

show abstract

Section: Event B: Discussion For 10 Bus Systemmentioning

confidence: 99%

Section: Discussion For the Implemented Voltage Stability Monitoring mentioning

confidence: 99%

Section: Ajasmentioning

confidence: 99%

See 1 more Smart Citation

Comparative Study of Different Kalman Filter Implementations in Power System Stability

Goh¹

2014

American Journal of Applied Sciences

View full text Add to dashboard Cite

show abstract

“…The voltage stability margin (VSM), which is defined to be the distance between the given operating point and the voltage-collapse point, can serve as the static voltage stability indicator. A wide variety of approaches have been proposed for static VSM evaluation [21][22][23][24][25][26], wherein the measurement-based methods [25,26] address such problem by using the impedance-matching concept, i.e., at the maximum loading condition, load impedance is equal to Thevenin equivalent impedance in magnitude. Due to the elegance and simplicity of the measurement-based method, it becomes an attractive alternative in static voltage stability monitoring.…”

Section: Overview Of the Proposed Schemementioning

confidence: 99%

“…In order to rapidly assess static voltage stability of a power grid, the local measurement-based methods have been presented in the works [25,26]. The key idea of these techniques is provided here.…”

Section: Voltage Stability Margin Estimation Functionmentioning

confidence: 99%

A Synchrophasor Based Optimal Voltage Control Scheme with Successive Voltage Stability Margin Improvement

Chen

Hsu

2016

Applied Sciences

View full text Add to dashboard Cite

This paper proposes an optimal control scheme based on a synchronized phasor (synchrophasor) for power system secondary voltage control. The framework covers voltage stability monitoring and control. Specifically, a voltage stability margin estimation algorithm is developed and built in the newly designed adaptive secondary voltage control (ASVC) method to achieve more reliable and efficient voltage regulation in power systems. This new approach is applied to improve voltage profile across the entire power grid by an optimized plan for VAR (reactive power) sources allocation; therefore, voltage stability margin of a power system can be increased to reduce the risk of voltage collapse. An extensive simulation study on the IEEE 30-bus test system is carried out to demonstrate the feasibility and effectiveness of the proposed scheme.

show abstract

PMU‐based power system component monitoring scheme satisfying complete observability with multicriteria decision support

Chatterjee

Ghosh

Roy

2019

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

Summary Modern power system operates in stressed conditions due to fickle loads, high penetration of renewables, and complex control strategies. The failure of any power system asset may lead to protract power interruption or even catastrophic failures. Synchrophasor‐based extensive research advancements in wide area measurement, protection, and control (WAMPAC) systems are solving critical operation and control problems of the power system. This paper proposes a new combinatorial methodology for monitoring the prime power system components in preference to complete observability of the system. A multicriteria decision support (MCDS) approach, analytical hierarchy process (AHP), has been used to prepare a ranking according to component bus priority for synchrophasor measurement unit installation. The priority list is further processed with intelligent search technique (IST) to compute the optimal solution for synchrophasor meter placement, ensuring complete observability, maximum measurement redundancy, and coverage of prime system components with direct monitoring. Some practical contingencies related to synchrophasor meters placement problem like single meter loss or line outage have also been considered for the case studies. The efficiency of the proposed method has been verified with IEEE 14‐bus, 24‐bus, 30‐bus, 57‐bus, and 118‐bus and New England 39‐bus test systems. To prove the superiority of the method, in essence of synchrophasor meter placement problems, the outcome has been compared with some of the existing methods from the literature.

show abstract

Use of local measurements to estimate voltage-stability margin

Cited by 423 publications

References 6 publications

Comparative Study of Different Kalman Filter Implementations in Power System Stability

Comparative Study of Different Kalman Filter Implementations in Power System Stability

A Synchrophasor Based Optimal Voltage Control Scheme with Successive Voltage Stability Margin Improvement

PMU‐based power system component monitoring scheme satisfying complete observability with multicriteria decision support

Contact Info

Product

Resources

About