Development of applications in WAMS and WACS: an international cooperation experience

Scala, Massimo La; Benedictis, Michele De; Bruno, Sérgio; Grobovoy, A.; Bondareva, N.; Borodina, N.; Denisova, D.; Germond, A.; Cherkaoui, Rachid

doi:10.1109/pes.2006.1709458

Cited by 25 publications

(11 citation statements)

References 22 publications

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“…Furthermore, previous Phasor measurements are stored in servers to be used for off-line applications such as planning and model validations. In recent years Australia, China, Japan, USA and many European countries have incorporated WAMS into their network alongside the SCADA system [8]- [10], [21]. Initial results showed that networks are able to improve their operational limits without comprising the reliability of power transfer.…”

Section: Framework Of Wide Area Monitoring Systemmentioning

confidence: 99%

Exploring parallel processing for wide area measurement data applications

Peng

Mead

Nair

2011

2011 IEEE Power and Energy Society General Meeting

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In this paper the potential of parallelizing real-time monitoring applications using mainstream multi-core processors is explored. In particular, the focus is on implementing and assessing the oscillatory monitoring application. The objective is to evaluate the practicality of using parallel processing to achieve faster computational speed. In this paper, two monitoring techniques with different mathematical formulations are used. They are the block-processing Prony Analysis and recursive Extended Complex Kalman Filter. Both techniques are implemented to demonstrate different aspects of parallel processing. Prony Analysis is used to show the potential of operating multiple algorithms concurrently while ECKF demonstrates the possibility of parallelizing the decomposed subroutines. Comparisons with the corresponding sequential algorithms are carried out using synthetic signals in Visual C++. Simulation results show that parallel processing is able to reduce the computation time.

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Section: Framework Of Wide Area Monitoring Systemmentioning

confidence: 99%

Exploring parallel processing for wide area measurement data applications

Peng

Mead

Nair

2011

2011 IEEE Power and Energy Society General Meeting

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“…The extensive use of wide-area measurement systems (WAMS) has brought flexibility in power networks monitoring [27][28][29]. With WAMS event monitoring, control and effects mitigation can now be performed more rapidly [30]. This is because most PMUs are capable of producing 60 samples per second and modern PMUs can produce twice as many samples per second [31].…”

Section: Introductionmentioning

confidence: 99%

WAMS-Based Online Disturbance Estimation in Interconnected Power Systems Using Disturbance Observer

et al. 2019

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In the event of a generator loss or disturbance, the power system frequency declines quickly and overall system stability is at risk. During these scenarios, under frequency load shedding is triggered to restore the power system frequency. The main stage of modern adaptive under frequency load shedding techniques is disturbance estimation. However, the swing equation is widely used in disturbance estimation but has some critical estimation errors. In this paper, instead of using the swing equation we proposed the use of a disturbance observer to estimate the curtailed power. By making use of wide area measurements, a system frequency response model, which is a representative of the whole power system, can be realized in real time. Using different power system states of the developed model, a disturbance observer can be designed as well. The main advantage of the disturbance observer is that it can accurately estimate the disturbance magnitude and its location in a very short time. Further investigations show that by using the disturbance observer disturbances, which occur at the same time or at different times in different areas regardless of the magnitude or size, accurate estimations can be made. To ascertain the efficiency of the proposed scheme, simulations are done for a four-area power system using Matlab/Simulink.

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“…On the other hand, the expanding use of wide-area measurement systems (WAMS) has brought the capability of monitoring power networks in (nearly) real-time. With WAMS we are able to capture many events, evaluate their consequences and assess system security more quickly [1][2][3][4][5][6][7][8]. Present technology is capable of feeding wide-area synchronized phasor measurements into SCADA and EMS systems at a rate of 60 samples per second [9].…”

Section: Introductionmentioning

confidence: 99%

Dynamic event detection and location using wide area phasor measurements

Rovnyak

Mei

2010

Int Trans Elec Energy Syst

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SUMMARYThis paper presents an online dynamic event detection and location method that uses wide-area generator rotor frequency measurements. It combines a variance-based approach to event detection with a clusteringbased approach to event location. In the offline phase, the method involves partitioning the buses in a power network into coherent groups and selecting a single generator to represent each group. In the online phase, the method involves calculating the variance of each representative's rotor frequency over sliding window. This paper provides explanation and evidence that different detection thresholds should be used for variancebased triggers that have different window lengths. If the threshold is varied linearly with the window length then the variance-based criterion resembles the long-window derivative-based criterion. This paper provides guidelines for adjusting the window length and the detection threshold in a coordinated manner to balance the tradeoff between the detection delay and the prevalence of false detections.

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Development of applications in WAMS and WACS: an international cooperation experience

Cited by 25 publications

References 22 publications

Exploring parallel processing for wide area measurement data applications

Exploring parallel processing for wide area measurement data applications

WAMS-Based Online Disturbance Estimation in Interconnected Power Systems Using Disturbance Observer

Dynamic event detection and location using wide area phasor measurements

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