Wide area transient stability prediction using on-line Artificial Neural Networks

Hashiesh, Fahd; Mostafa, Hossam E.; Mansour, M.M.; Khatib, Abdel-Rahman; Helal, Ibrahim

doi:10.1109/epc.2008.4763308

Cited by 14 publications

(6 citation statements)

References 9 publications

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“…Time of convergence is uncertain, very complicated coding. 70,138,139 Artificial neural network (ANN) ANN is best suited to ensure an optimum amount of load shed.…”

Section: Discussionmentioning

confidence: 99%

“…Meta-heuristic algorithms in a previous study 67 are proposed to achieve the least amount, correct location, and appropriate time of load shed, which include particle swarm optimization, 68 firefly algorithm, 69 evolutionary programming, 70 ant colony optimization, 71 artificial neural network, 72 genetic algorithm, 73 and quantum-inspired evolutionary programming. 74 To obtain feasible solutions while considering problem constraints, the use of evolutionary algorithms result in better accuracy and speed.…”

Section: Amount Of Load Shedmentioning

confidence: 99%

See 1 more Smart Citation

A critical review of the state‐of‐art schemes for under voltage load shedding

Larik

Mustafa

Aman

2019

Int Trans Electr Energ Syst

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Summary A blackout is usually the result of increasing load beyond the transmission capacity of the power system. One of the main reasons for power blackouts is voltage collapse. To avoid this problem, the proper corrective measures called load shedding is required. In critical and extreme emergencies, under voltage load shedding (UVLS) is performed as a final remedy to avoid a larger scale voltage collapse. Therefore, UVLS is considered state of the art to achieve voltage stability. This review summarizes and updates the important aspects of UVLS; it also provides principle understanding of UVLS, which are critical in planning such defense schemes. Moreover, this article provides a discussion on recent state‐of‐art UVLS schemes applied in various power industries. Additionally, the pros and cons of the conventional and computational intelligence techniques are discussed. It is envisioned that this work will serve as one‐stop information for power system engineers, designers, and researches.

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“…Time of convergence is uncertain, very complicated coding. 70,138,139 Artificial neural network (ANN) ANN is best suited to ensure an optimum amount of load shed.…”

Section: Discussionmentioning

confidence: 99%

Section: Amount Of Load Shedmentioning

confidence: 99%

A critical review of the state‐of‐art schemes for under voltage load shedding

Larik

Mustafa

Aman

2019

Int Trans Electr Energ Syst

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“…By using the mentioned technique, an ANN can be trained to predict system transient instabilities. In next sections, a two-layer ANN for on-line transient stability predication is proposed [18].…”

Section: Development Of the Ann For On-line Stability Predictionmentioning

confidence: 99%

An Intelligent Wide Area Synchrophasor Based System for Predicting and Mitigating Transient Instabilities

Hashiesh¹,

Mostafa

Khatib

et al. 2012

IEEE Trans. Smart Grid

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133

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Increasing expansion of power systems and grids are accompanied nowadays by innovation in smart grid solutions to maintain systems stability. This paper proposes an intelligent wide area synchrophasor based system (IWAS) for predicting and mitigating transient instabilities. The IWAS incorporates artificial neural networks (ANN) for transient stability prediction. The ANN makes use of the advent of phasor measurements units (PMU) for real-time prediction. Coherent groups of generators-which swing together-is identified through an algorithm based on PMU measurements. A remedial action scheme (RAS)is applied to counteract the system instability by splitting the system into islands and initiate under frequency load shedding actions. The potential of the proposed approach is tested using New England 39 bus system. Index Terms-ART neural networks, controlled system islanding, load shedding, remedial action scheme RAS, wide area protection.

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“…Decision tree (DT) techniques have superior accuracy for recognising islanding events [28,29]. The supervisory control and data acquisition (SCADA) system is a popular method for detecting islanding events, but it is unable to provide reliable feedback due to the transmission delay and the higher installation cost [30].…”

Section: Introductionmentioning

confidence: 99%

A PMU-Based Island Detection Technique Validated by a Real-Case Study of a Distribution System in Malaysia

Arefin,

Hasan

2023

Preprint

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Islanding detection is becoming a vital aspect of the power system as the penetration of distributed generators in the utility power system continues to grow. If the distribution generation (DG) capacity matches the connected feeder load the islanding detection takes longer due to the minimal power imbalance between the DG and the utilities prior to islanding event. This research work proposes a slip and acceleration angle-based islanding detection algorithm using phasor measurement unit (PMU) voltage angle data. Specifically, this research utilizes the grid and DG bus voltage angles in the form of their slip and acceleration angle parameters. This research work presents the performance results of the proposed islanding detection algorithm for the under frequency, over frequency, and match frequency islanding conditions. The proposed algorithm is developed using IEEE 30 bus system and validate with the actual Utility Kerteh system (located in Terengganu, Malaysia) based on simulated PMU voltage angle data for 8 different island and non-island cases. Notably, the proposed algorithm shows that it can detect all islanding conditions of the Utility Kerteh system at 20ms, which means it requires only one cycle duration after island incepts in the network.

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Wide area transient stability prediction using on-line Artificial Neural Networks

Cited by 14 publications

References 9 publications

A critical review of the state‐of‐art schemes for under voltage load shedding

A critical review of the state‐of‐art schemes for under voltage load shedding

An Intelligent Wide Area Synchrophasor Based System for Predicting and Mitigating Transient Instabilities

A PMU-Based Island Detection Technique Validated by a Real-Case Study of a Distribution System in Malaysia

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