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

Zhang et al., 2022 - Google Patents

Model and Data Driven Machine Learning Approach for Analyzing the Vulnerability to Cascading Outages With Random Initial States in Power Systems

Zhang et al., 2022

View PDF
Document ID
899438154695546093
Author
Zhang H
Ding T
Qi J
Wei W
Catalão J
Shahidehpour M
Publication year
Publication venue
IEEE Transactions on Automation Science and Engineering

External Links

Snippet

In this paper, a hybrid machine learning model is applied to evaluate the relationship between random initial states and the power system's vulnerability to cascading outages. A cascading outage simulator (CS), which uses off-line AC power flows, is proposed for …
Continue reading at web.fe.up.pt (PDF) (other versions)

Classifications

    • 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
    • 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
    • G06Q10/04Forecasting or optimisation, e.g. linear programming, "travelling salesman problem" or "cutting stock problem"
    • 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
    • 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
    • G06Q10/06Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational 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
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
    • Y04S10/54Management of operational aspects, e.g. planning, load or production forecast, maintenance, construction, extension
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computer systems utilising knowledge based 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
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S40/00Communication or information technology specific aspects supporting electrical power generation, transmission, distribution or end-user application management
    • Y04S40/20Information technology specific aspects
    • Y04S40/22Computer aided design [CAD]; Simulation; Modelling

Similar Documents

Publication Publication Date Title
Zhang et al. A hierarchical self-adaptive data-analytics method for real-time power system short-term voltage stability assessment
Li et al. A hierarchical data-driven method for event-based load shedding against fault-induced delayed voltage recovery in power systems
US20200119556A1 (en) Autonomous Voltage Control for Power System Using Deep Reinforcement Learning Considering N-1 Contingency
Liu et al. A systematic approach for dynamic security assessment and the corresponding preventive control scheme based on decision trees
Wang et al. Resilience enhancement with sequentially proactive operation strategies
Zhao et al. Resilient unit commitment for day-ahead market considering probabilistic impacts of hurricanes
Wang et al. On machine learning-based techniques for future sustainable and resilient energy systems
CN106026092B (en) It is a kind of for the power distribution network isolated island division methods containing distributed generation resource
Hamilton et al. Using SHAP values and machine learning to understand trends in the transient stability limit
JP7573819B2 (en) Method and computer system for generating decision logic for a controller - Patents.com
Al Karim et al. A machine learning based optimized energy dispatching scheme for restoring a hybrid microgrid
Xie et al. Massively digitized power grid: opportunities and challenges of use-inspired AI
Ren et al. A super-resolution perception-based incremental learning approach for power system voltage stability assessment with incomplete PMU measurements
CN114077809A (en) Method and monitoring system for monitoring performance of decision logic of controller
Oladeji et al. Density-based clustering and probabilistic classification for integrated transmission-distribution network security state prediction
Wang et al. Scenario-based line switching for enhancing static voltage stability with uncertainty of renewables and loads
Shahzad Application of machine learning for optimal wind farm location
Makanju et al. Machine Learning Approaches for Power System Parameters Prediction: A Systematic Review
Zhang et al. Model and Data Driven Machine Learning Approach for Analyzing the Vulnerability to Cascading Outages With Random Initial States in Power Systems
Pakdel Intelligent instability detection for islanding prediction
Qin et al. An integrated situational awareness tool for resilience-driven restoration with sustainable energy resources
Zhang et al. CNN‐LSTM based power grid voltage stability emergency control coordination strategy
Hossain et al. Multi-agent voltage control in distribution systems using GAN-DRL-based approach
Kumar et al. Power system resilience quantification and enhancement strategy for real-time operation
Mu et al. An optimization method to boost the resilience of power networks with high penetration of renewable energies