Online Prediction of Transient Instability by Wide Area Measurement System

<p>In this paper an online accurate prediction method is proposed to enhance the speed of Transactionient stability assessment. This method is the measurement basis technique resulted from wide area measurement systems (WAMS). In the proposed method, the generators with same dynamic behavior, referred as to coherent generators, are clustered as a same group and they can be considered as an equivalent bus. So the system will be reduced into a small scale system. The admittance matrix parameters of the reduced system can be identified with the least square algorithm. Then the trajectory prediction is performed by real-time simulations. Obtained results from simulations on New England test system show the high noticeable efficiency for performance of the proposed method, capable in predicting of the disturbed trajectory under existence of unknown parameters in grid structure.. </p>

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Wide-area measurement system-based supervision of protection schemes with minimum number of phasor measurement units

Philosophical Transactions of The Royal Society A Mathematical Physical and Engineering Sciences ◽

10.1098/rsta.2016.0295 ◽

2017 ◽

Vol 375 (2100) ◽

pp. 20160295 ◽

Cited By ~ 2

Author(s):

Swaroop Gajare ◽

J. Ganeswara Rao ◽

O. D. Naidu ◽

Ashok Kumar Pradhan

Keyword(s):

New England ◽

Large Scale ◽

Area Measurement ◽

Wide Area ◽

Measurement Unit ◽

Stressed Condition ◽

Wide Area Measurement System ◽

Power Swing ◽

Phasor Measurement ◽

Minimum Number

Cascade tripping of power lines triggered by maloperation of zone-3 relays during stressed system conditions, such as load encroachment, power swing and voltage instability, has led to many catastrophic power failures worldwide, including Indian blackouts in 2012. With the introduction of wide-area measurement systems (WAMS) into the grids, real-time monitoring of transmission network condition is possible. A phasor measurement unit (PMU) sends time-synchronized data to a phasor data concentrator, which can provide a control signal to substation devices. The latency associated with the communication system makes WAMS suitable for a slower form of protection. In this work, a method to identify the faulted line using synchronized data from strategic PMU locations is proposed. Subsequently, a supervisory signal is generated for specific relays in the system for any disturbance or stressed condition. For a given system, an approach to decide the strategic locations for PMU placement is developed, which can be used for determining the minimum number of PMUs required for application of the method. The accuracy of the scheme is tested for faults during normal and stressed conditions in a New England 39-bus system simulated using EMTDC/PSCAD software. With such a strategy, maloperation of relays can be averted in many situations and thereby blackouts/large-scale disturbances can be prevented. This article is part of the themed issue ‘Energy management: flexibility, risk and optimization’.

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The Perturbed Trajectories Prediction Method Based on Wide-Area Measurement System

2005/2006 PES TD ◽

10.1109/tdc.2006.1668734 ◽

2006 ◽

Cited By ~ 9

Author(s):

F.F. Song ◽

T.S. Bi ◽

H.Y. Li ◽

Q.X. Yang ◽

Y. Liu

Keyword(s):

Measurement System ◽

Prediction Method ◽

Area Measurement ◽

Wide Area ◽

Wide Area Measurement System

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Wide-Area Measurement System-Based Optimal Multi-Stage Under-Frequency Load-Shedding in Interconnected Smart Power Systems Using Evolutionary Computing Techniques

Applied Sciences ◽

10.3390/app9030508 ◽

2019 ◽

Vol 9 (3) ◽

pp. 508 ◽

Cited By ~ 27

Author(s):

Hassan Alhelou ◽

Mohamad Hamedani-Golshan ◽

Takawira Njenda ◽

Pierluigi Siano

Keyword(s):

Power Systems ◽

Measurement System ◽

Evolutionary Computing ◽

Test System ◽

Load Shedding ◽

Area Measurement ◽

Wide Area ◽

Stable Mode ◽

Wide Area Measurement System ◽

Multi Stage

Power systems that are known as the most complex systems encounter different types of disturbances and emergence events. To operate such systems in a stable mode, several control protection techniques are in need. Frequency plays a vital role in power systems and needs to be properly maintained in a permissible level. To this end, under-frequency load-shedding (UFLS) techniques are used to intercept the frequency decline when a system encounters a severe disturbance. In this paper, a novel, wide-area measurement system (WAMS)-based optimal UFLS technique is proposed. The system frequency response (SFR) model is identified online based on the real-time measurements collected by phasor measurement units (PMUs). Then, the SFR model is used to design a new optimal multi-stage UFLS scheme. Imperialist competitive algorithm (ICA), which is a powerful evolutionary computing method, is then adopted for solving the suggested multi-stage UFLS optimization problem. The applicability of the proposed method is shown on a practical test system. The effectiveness of the proposed optimal multi-stage UFLS scheme is verified by several simulation and comparison scenarios.

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