[go: up one dir, main page]

Gholami et al., 2020 - Google Patents

Static security assessment of power systems: A review

Gholami et al., 2020

View PDF
Document ID
9875144721089117771
Author
Gholami M
Sanjari M
Safari M
Akbari M
Kamali M
Publication year
Publication venue
International Transactions on Electrical Energy Systems

External Links

Snippet

The security assessment, based on which determinant decisions should be made for power system design, control and operation, is a challenging issue for utility engineers and network designers, especially in large‐scale power systems. Numerous methods have been …
Continue reading at onlinelibrary.wiley.com (PDF) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/3061Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30705Clustering or classification
    • G06F17/3071Clustering or classification including class or cluster creation or modification
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computer systems based on biological models
    • G06N3/02Computer systems based on biological models using neural network models
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computer systems utilising knowledge based models

Similar Documents

Publication Publication Date Title
Gholami et al. Static security assessment of power systems: A review
Li et al. A hierarchical data-driven method for event-based load shedding against fault-induced delayed voltage recovery in power systems
Zhang et al. Post‐disturbance transient stability assessment of power systems by a self‐adaptive intelligent system
Mishra et al. A combined wavelet and data-mining based intelligent protection scheme for microgrid
Khoshkhoo et al. Fast online dynamic voltage instability prediction and voltage stability classification
Dhandhia et al. Multi-class support vector machines for static security assessment of power system
Liu et al. Non‐parametric statistics‐based predictor enabling online transient stability assessment
Zhang et al. Online power system dynamic security assessment with incomplete PMU measurements: A robust white‐box model
Pournabi et al. Power system transient security assessment based on deep learning considering partial observability
Rashidi et al. LEs based framework for transient instability prediction and mitigation using PMU data
Hosseini et al. New approach to transient stability prediction of power systems in wide area measurement systems based on multiple‐criteria decision making theory
De Caro et al. Review of data-driven techniques for on-line static and dynamic security assessment of modern power systems
MansourLakouraj et al. A multi-rate sampling PMU-based event classification in active distribution grids with spectral graph neural network
Koochi et al. Taxonomy of coherency detection and coherency‐based methods for generators grouping and power system partitioning
Shukla et al. Grey wolf optimization-tuned convolutional neural network for transmission line protection with immunity against symmetrical and asymmetrical power swing
Bhuiyan et al. A deep learning through DBN enabled transmission line fault transient classification framework for multimachine microgrid systems
Gomes et al. Islanding detection of synchronous distributed generators using data mining complex correlations
Hijazi et al. Transfer learning for transient stability predictions in modern power systems under enduring topological changes
Saeh et al. Static security assessment using artificial neural network
Sekhar et al. Classification and assessment of power system static security using decision tree and random forest classifiers
Bhatnagar et al. Integrating distributed generation and advanced deep learning for efficient distribution system management and fault detection
Mostafanezhad et al. Data-driven small-signal and n-1 security assessment considering missing data
Ozgonenel et al. Detection of blackouts by using K-means clustering in a power system
Zhu et al. Power system short‐term voltage stability assessment based on improved CatBoost with consideration of model confidence
Soni et al. Transient stability‐oriented assessment and application of preventive control action for power system