[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Ren et al., 2022 - Google Patents

Online multi-fault power system dynamic security assessment driven by hybrid information of anticipated faults and pre-fault power flow

Ren et al., 2022

Document ID
14155111370863763469
Author
Ren J
Chen J
Shi D
Li Y
Li D
Wang Y
Cai D
Publication year
Publication venue
International Journal of Electrical Power & Energy Systems

External Links

Snippet

Online dynamic security assessment is one of the important applications of online situation awareness for power systems, providing essential information for secure operation and preventive control. Different from the existing methods which are fault-dependent or …
Continue reading at www.sciencedirect.com (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
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • G06N99/005Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • 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
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GASES [GHG] EMISSION, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02E60/70Systems integrating technologies related to power network operation and communication or information technologies mediating in the improvement of the carbon footprint of electrical power generation, transmission or distribution, i.e. smart grids as enabling technology in the energy generation sector not used, see subgroups
    • Y02E60/76Computer aided design [CAD]; Simulation; Modelling
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computer systems utilising knowledge based models
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00Finance; Insurance; Tax strategies; Processing of corporate or income taxes

Similar Documents

Publication Publication Date Title
Shi et al. Artificial intelligence techniques for stability analysis and control in smart grids: Methodologies, applications, challenges and future directions
Luo et al. Data-driven short-term voltage stability assessment based on spatial-temporal graph convolutional network
Li et al. A hierarchical data-driven method for event-based load shedding against fault-induced delayed voltage recovery in power systems
Yang et al. Deep learning‐based SCUC decision‐making: An intelligent data‐driven approach with self‐learning capabilities
Ren et al. Online multi-fault power system dynamic security assessment driven by hybrid information of anticipated faults and pre-fault power flow
Zhao et al. Research on size and location of distributed generation with vulnerable node identification in the active distribution network
Gholami et al. Static security assessment of power systems: A review
Li et al. Online dynamic security assessment of wind integrated power system using SDAE with SVM ensemble boosting learner
Ding et al. Clusters partition and zonal voltage regulation for distribution networks with high penetration of PVs
Galvani et al. Data clustering based probabilistic optimal power flow in power systems
Wang et al. Data‐driven distributionally robust economic dispatch for distribution network with multiple microgrids
Zhang et al. Critical node identification in active distribution network using resilience and risk theory
Derafshian et al. Special protection scheme against voltage collapse
Xu et al. Risk‐averse multi‐objective generation dispatch considering transient stability under load model uncertainty
Mehrzad et al. A review on data-driven security assessment of power systems: Trends and applications of artificial intelligence
Kermani et al. Energy management system for smart grid in the presence of energy storage and photovoltaic systems
De Caro et al. Review of data-driven techniques for on-line static and dynamic security assessment of modern power systems
Guan et al. Customer load forecasting method based on the industry electricity consumption behavior portrait
Oladeji et al. Density-based clustering and probabilistic classification for integrated transmission-distribution network security state prediction
Ebrahimi et al. Probabilistic optimal planning in active distribution networks considering non‐linear loads based on data clustering method
Hijazi et al. Transfer learning for transient stability predictions in modern power systems under enduring topological changes
Li et al. A probabilistic data-driven method for response-based load shedding against fault-induced delayed voltage recovery in power systems
Sakr et al. Machine learning-based detection of DDoS attacks on IoT devices in multi-energy systems
Salles et al. Integrated volt/Var control in modern distribution power systems based on support vector machines
Zhu et al. Power system short‐term voltage stability assessment based on improved CatBoost with consideration of model confidence