A new fast-learning algorithm for predicting power system stability

Daoud, Ahmed A.; Karady, G.G.; Amin, Reham

doi:10.1109/pesw.2001.916916

Cited by 9 publications

(5 citation statements)

References 3 publications

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“…At present, there have been a lot of theoretical achievements in the field of the wide area response based power system security and stability control technology [5][6][7][8][9][10]. Various generator power angle prediction techniques [11][12][13][14] and different transient instability detection technologies [15][16][17][18] were proposed.…”

Section: Introductionmentioning

confidence: 99%

Development of a WAMS based test platform for power system real time transient stability detection and control

Zhao

Zhang

et al. 2016

Prot Control Mod Power Syst

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The real-time transient stability detection and emergency control technology based on wide area response has become a hot research area in power system stability studies. Several different technologies have been proposed, but lots of problems remain to be solved before they can be applied in practice. A wide area measurement system (WAMS) based test platform is developed for transient stability detection and control. The design as well as main function modules of the platform are introduced. In addition, three generator power angle prediction methods and six response based transient instability detection technologies are given. Results of engineering application demonstrate that the developed test platform can provide a real-time operation environment, which can effectively compare and analyze the validity and practicability of these transient stability detection technologies. Based on the measured perturbed trajectories from actual power systems or the Real-Time Digital Simulators (RTDS), the platform can realize the assessment and visual result presentation of various responses from different transient instability detection technologies. The test platform can be applied to different power systems and it is convenient to embed new transient instability detection modules. Meanwhile some deficiencies and shortcomings in engineering application are pointed out and corresponding suggestions are given. In conclusion, the hardware and software structure, function modulus and engineering applications are presented. The application in actual power systems shows that it has a good application perspective.

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Section: Introductionmentioning

confidence: 99%

Development of a WAMS based test platform for power system real time transient stability detection and control

Zhao

Zhang

et al. 2016

Prot Control Mod Power Syst

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“…If an unexpected event happened, it cannot do anything. With the wide application of GPS technology and Phasor Measurement Unit (PMU) in power system, the real time transient instability prediction based on the post-fault trajectories has brought wide attention [1][2][3][4][5]. The scheme depends on real responses of power system on a happening disturbance.…”

Section: Introductionmentioning

confidence: 99%

“…In references [1][2][3][4][5] the rotor angle difference between any two generators or one generator w.r.t. the center of inertia COI angle reference are used as an indicator.…”

Section: Introductionmentioning

confidence: 99%

A novel real-time transient stability prediction method based on post-disturbance voltage trajectories

Zhao

et al. 2011

2011 International Conference on Advanced Power System Automation and Protection

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With the wide application of phasor measurement units (PMU) and wide area measurement system (WAMS) in power system, the real time detection and emergency control of power system transient instability based on the wide-area measurements has brought wide attention. This paper presents a novel technique for predicting transient stability status of a power system following a large disturbance. The synchronously measured samples of the fundamental frequency voltage magnitudes are used to detect the stability. A stability criterion based on the volt-second integration of post-disturbance voltage trajectory is proposed for detecting the transient instability. The drop rate of voltage magnitude after clearing the fault is embedded into the proposed criterion since it indicates the severity of disturbance in some extent. There are two integration termination criteria for fast prediction. Compare with traditional transient stability prediction methods, in which the post-fault rotor angle and angular velocity samples are used to produce the instability criteria, the proposed method improves the reliability and rapidity of transient stability detection especially for the multiple swing instability cases. Studies with both IEEE 39 test system and China Sothern Power Grid indicates that the proposed method is effective. Keywords transient instability prediction, phasor measurement unit; post-fault voltage trajectory; volt-second integration criterion; voltage drop rate___________________________________ 978-1-4244-9621-1/11/$26.00 ©2011 IEEE

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“…There was no prior knowledge of the moving object trajectory or position except for the measurement update [5]. This algorithm was found to be applicable to the power system with an extended prediction period of 500 millisecond in the future [6].…”

Section: Prediction Agentmentioning

confidence: 99%

“…The first part is building the relative rotor angle trajectory according to the measured post fault values, then when the built trajectory is at its closest point to the measured relative rotor angle a prediction algorithm is initiated (second part). These two parts are known as tracking and prediction process [6].…”

Section: Prediction Agentmentioning

confidence: 99%

On-line transient stability enhancement using multi-agent technique

Karady

Daoud

Mohamed

2002 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.02CH37309)

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This paper proposes a multi-agent technique that is divided into two parts. The first part is a prediction agent that will predict power system instability. According to the prediction agent's output, control agent is initiated. The prediction agent is adapted from a proven robotic ball-catching algorithm. The control agent initiates turbine fast valving. The resulting multi-agent technique can predict system instability and establish system stability. Decoded MATLAB programs of both agents are linked to ETMSP program, power system simulation program, used in verifying the results. Results show that the proposed technique could be used on-line for power system instability prediction and control if the control agent speed can be increased.

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A new fast-learning algorithm for predicting power system stability

Cited by 9 publications

References 3 publications

Development of a WAMS based test platform for power system real time transient stability detection and control

Development of a WAMS based test platform for power system real time transient stability detection and control

A novel real-time transient stability prediction method based on post-disturbance voltage trajectories

On-line transient stability enhancement using multi-agent technique

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