Online Voltage Security Assessment Based on Wide-Area Measurements

Beiraghi, Mojtaba; Ranjbar, Ali Mohammad

doi:10.1109/tpwrd.2013.2247426

Cited by 44 publications

(20 citation statements)

References 23 publications

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“…As a result, the voltages at several system buses get increasingly lower. Therefore, the main input variables for voltage stability analysis can be bus voltage magnitudes, reactive power flows, or branch currents …”

Section: Reactive Reserve Margin and Voltage Stabilitymentioning

confidence: 99%

“…Several studies suggest the use of reactive reserve to predict the system voltage stability condition. [15][16][17] One study 15 shows that there is a quasilinear relationship between Var reserve and the maximum load margin for a given pattern of load increase. Multilinear regression models have been developed to predict the load margin, based on generators' reactive reserves.…”

Section: In 2013mentioning

confidence: 99%

“…The recent advances in synchronized measurement technology PMU allow for better monitoring of the power system in real time. Phasor measurement unit–based algorithms have been proposed to detect transient instability and voltage instability . To evaluate the stability level of the OCs, online measurements can be compared with the results of off‐line stability analysis.…”

Section: Introductionmentioning

confidence: 99%

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A novel approach for early detection of impending voltage collapse events based on the support vector machine

Nguyen-Duc

Kamwa

Dessaint

et al. 2017

Int Trans Electr Energ Syst

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Summary This paper proposes an approach to detect the possibility of long‐term voltage instability, based on online measurement of system bus voltages. An optimization framework is proposed to determine the maximum loading points, with different load increase patterns and different levels of reactive power output. The operating conditions so obtained are used as the training database for an artificial intelligence classifier based on the support vector machines. In an online application, the support vector machine classifier helps in detecting the probability of some generators operating at high reactive power output, which is an important indicator of an impending voltage collapse. The proposed framework is tested with the IEEE 39 bus and the Nordic 32 bus systems. The test results demonstrate that the proposed scheme gives reliable prediction of the power system long‐term voltage stability.

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Section: Reactive Reserve Margin and Voltage Stabilitymentioning

confidence: 99%

Section: In 2013mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A novel approach for early detection of impending voltage collapse events based on the support vector machine

Nguyen-Duc

Kamwa

Dessaint

et al. 2017

Int Trans Electr Energ Syst

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“…All of these have diverse physical interpretations [53][54][55][56][57][58][59][60]. The computational simplicity of these methods makes them suitable for real time applications, but the accuracy of these methods is restricted by the information obtained from a single location [61][62][63][64][65][66][67][68][69][70]. New strategies are proposed to monitor and control the voltage stability of smart grid system [71][72].…”

Section: Voltage Stability Monitoring and Control Using Pmu Technmentioning

confidence: 99%

On-line voltage stability monitoring and control in smart grid — A survey

Sahu

Verma

2015

2015 IEEE UP Section Conference on Electrical Computer and Electronics (UPCON)

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Most of the work on voltage stability assessment of power systems has concentrated on offline studies. With advancement in Phasor Measurement Unit (PMU) technology, it is quite possible to assess voltage stability margin of real time systems in smart grid. This paper has addressed on different works going on in the area of voltage stability monitoring and control using PMU technology. The report in this paper has elaborated on different methodologies which have been proposed in literature for optimal placement of PMUs for control of voltage stability margin in smart grid. The paper sets new scope for promising researchers for the best utilization of PMUs in online voltage stability monitoring and control in smart grid architecture.

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“…The spread of wide area measurement system (WAMS) and the demands of accident analysis in power grid are inseparable [10][11][12][13]. The significance of WAMS had already been approved by American power grid accident in 1996.…”

Section: Introductionmentioning

confidence: 99%

MAP Fault Localization Based on Wide Area Synchronous Phasor Measurement Information

Zhang¹,

Wang

2015

International Journal of Emerging Electric Power Systems

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In the research of complicated electrical engineering, the emergence of phasor measurement units (PMU) is a landmark event. The establishment and application of wide area measurement system (WAMS) in power system has made widespread and profound influence on the safe and stable operation of complicated power system. In this paper, taking full advantage of wide area synchronous phasor measurement information provided by PMUs, we have carried out precise fault localization based on the principles of maximum posteriori probability (MAP). Large numbers of simulation experiments have confirmed that the results of MAP fault localization are accurate and reliable. Even if there are interferences from white Gaussian stochastic noise, the results from MAP classification are also identical to the actual real situation.

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Online Voltage Security Assessment Based on Wide-Area Measurements

Cited by 44 publications

References 23 publications

A novel approach for early detection of impending voltage collapse events based on the support vector machine

A novel approach for early detection of impending voltage collapse events based on the support vector machine

On-line voltage stability monitoring and control in smart grid — A survey

MAP Fault Localization Based on Wide Area Synchronous Phasor Measurement Information

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