Measurement-based voltage stability monitoring for load areas

Sun, Kai; Hu, Fengkai

doi:10.1016/b978-0-12-803128-5.00014-3

Cited by 2 publications

(5 citation statements)

References 22 publications

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“…It is observed from Table 1 that real power loading margin obtained by proposed approach closely matches with real power loading margin found by continuation power flow method. Constants b1i, b2i and b3i were calculated for each of the load buses using (12), (13) and (14) for the system intact case and all the single line outage cases using PMU measurements/pseudo measurements. Evaluated constants were utilized to determine nose point reactive power demand, i n D Q of each bus using (8).…”

Section: Ieee 14-bus Systemmentioning

confidence: 99%

“…However, interconnected power system may have a critical area comprising of a set of critical load buses prone to voltage collapse. Thevenin's equivalent of critical load area based on PMU measurements at its surrounding buses has been proposed [13,14]. All the buses in the critical load area have been merged to replace these by a fictitious load bus.…”

Section: Introductionmentioning

confidence: 99%

“…Online monitoring of voltage stability based on Thevenin's equivalent of the network [9][10][11][12][13][14][15], as well as sensitivity based real time estimation of voltage stability margin [16][17][18] may fail to produce satisfactory results in case of large disturbances due to highly non-linear behavior of power systems. An Artificial Neural Network (ANN) based monitoring of voltage stability based on phasor measurements has been proposed [19].…”

Section: Introductionmentioning

confidence: 99%

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Online monitoring of voltage stability margin using PMU measurements

Sahu

Verma

2020

IJECE

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With the growing smart grid concept it becomes important to monitor health of the power system at regular intervals for its secure and reliable operation. Phasor Measurement Units (PMUs) may play a vital role in this regard. This paper presents voltage stability monitoring in real time framework using synchrophasor measurements obtained by PMUs. Proposed approach estimates real power loading margin as well as reactive power loading margin of most critical bus using PMU data. As system operating conditions keep on changing, loading margin as well as critical bus information is updated at regular intervals using fresh PMU measurements. Simulations have been carried out using Power System Analysis Toolbox (PSAT) software. Accuracy of proposed Wide Area Monitoring System (WAMS) based estimation of voltage stability margin has been tested by comparing results with loading margin obtained by continuation power flow method (an offline approach for accurate estimation of voltage stability margin) under same set of operating conditions. Case studies performed on IEEE 14-bus system, New England 39-bus system and a practical 246-bus Indian power system validate effectiveness of proposed approach of online monitoring of loading margin.

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Section: Ieee 14-bus Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Online monitoring of voltage stability margin using PMU measurements

Sahu

Verma

2020

IJECE

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“…where (θ,Ṽ ) is the operating point under base case; (θ c , V c ) is the operating point following a contingency; ∆F inj is the vector containing the active and reactive bus injection changes which are numerically equal to the active and reactive line flow on the outage branch. Note that the Jacobian matrix in (13) is constructed based on the topology of system B, i.e., the contingency line ij is in outage. When a severe transmission contingency occurs, some generators may reach their reactive power limits and the corresponding bus type will change from PV to PQ.…”

Section: A Estimation Of Post-contingency Operating Statesmentioning

confidence: 99%

“…A comparative study regarding four approaches to estimate the Thevenin equivalence is provided in [12]. With respect to load area, the authors in [13] merge all the boundary buses in the load area into one fictitious bus and leverage the standard TE method to monitor the voltage stability. In [14], [15], the authors extend the two-bus TE method to three-bus and n+1 bus equivalent system to consider the voltage stability within a load area.…”

Section: Introductionmentioning

confidence: 99%

Sensitivity Based Thevenin Index for Voltage Stability Assessment Considering N-1 Contingency

Zhang

Shi

et al. 2018

2018 IEEE Power &Amp; Energy Society General Meeting (PESGM)

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This paper proposes an approach to address the voltage stability assessment (VSA) considering N − 1 contingency. The approach leverages the sensitivity based Thevenin index (STI) which involves evaluating the Jacobian matrix at current operating condition. Since the N − 1 contingency case is hypothetical, there is no information regarding the operating condition after a foreseen contingency. The proposed approach first estimates the post-contingency operating point as well as possible PV-PQ transitions based on the current operating point. Then the STI for each contingency can be predicted using the estimated operating condition. Numerical results based on IEEE 14bus system demonstrate the accuracy of the proposed approach in predicting the voltage stability margin under contingency. Moreover, the on-line implementation of the proposed approach is promising since it only involves solving several linear equations.Index Terms-Voltage stability assessment, Thevenin equivalence, voltage stability index, N − 1 contingency.

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Measurement-based voltage stability monitoring for load areas

Cited by 2 publications

References 22 publications

Online monitoring of voltage stability margin using PMU measurements

Online monitoring of voltage stability margin using PMU measurements

Sensitivity Based Thevenin Index for Voltage Stability Assessment Considering N-1 Contingency

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