Yang et al., 2021 - Google Patents
A graph-based method for vulnerability analysis of renewable energy integrated power systems to cascading failuresYang et al., 2021
- Document ID
- 11861249019516351211
- Author
- Yang S
- Chen W
- Zhang X
- Yang W
- Publication year
- Publication venue
- Reliability Engineering & System Safety
External Links
Snippet
A large amount of uncertainty introduced into power systems may affect the system vulnerability to cascading failures. The objectives of this study are to analyze the power system vulnerability to cascades considering higher security criteria and to analyze the …
- 238000004458 analytical method 0 title description 42
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA 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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
- G06Q10/063—Operations research or analysis
- G06Q10/0639—Performance analysis
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA 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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
- G06Q10/063—Operations research or analysis
- G06Q10/0635—Risk analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/50—Computer-aided design
- G06F17/5009—Computer-aided design using simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation; Recording or statistical evaluation of user activity, e.g. usability assessment
- G06F11/3409—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation; Recording or statistical evaluation of user activity, e.g. usability assessment for performance assessment
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F2217/00—Indexing scheme relating to computer aided design [CAD]
- G06F2217/78—Power analysis and optimization
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA 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
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation, e.g. linear programming, "travelling salesman problem" or "cutting stock problem"
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/008—Reliability or availability analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F2201/00—Indexing scheme relating to error detection, to error correction, and to monitoring
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA 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
- G06Q30/00—Commerce, e.g. shopping or e-commerce
- G06Q30/02—Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
- G06Q30/0202—Market predictions or demand forecasting
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Yang et al. | A graph-based method for vulnerability analysis of renewable energy integrated power systems to cascading failures | |
Su et al. | A systematic framework of vulnerability analysis of a natural gas pipeline network | |
Rocchetta et al. | A power-flow emulator approach for resilience assessment of repairable power grids subject to weather-induced failures and data deficiency | |
Aien et al. | A comprehensive review on uncertainty modeling techniques in power system studies | |
Bernstein et al. | Power grid vulnerability to geographically correlated failures—Analysis and control implications | |
Baldick et al. | Vulnerability assessment for cascading failures in electric power systems | |
Du et al. | Fast cascading outage screening based on deep convolutional neural network and depth-first search | |
Zhao et al. | Resilience index system and comprehensive assessment method for distribution network considering multi-energy coordination | |
US10025336B2 (en) | System and method for analyzing oscillatory stability in electrical power transmission systems | |
US10521525B2 (en) | Quantifying a combined effect of interdependent uncertain resources in an electrical power grid | |
Shuvro et al. | Predicting cascading failures in power grids using machine learning algorithms | |
Dehghani et al. | An overview of the assessment metrics of the concept of resilience in electrical grids | |
CN117674119A (en) | Power grid operation risk assessment method, device, computer equipment and storage medium | |
Tena-García et al. | Implementing data reduction strategies for the optimal design of renewable energy systems | |
ul Hassan et al. | Online static security assessment for cascading failure using stacked De-noising Auto-encoder | |
Alzubaidi et al. | Probabilistic steady-state and short-term voltage stability assessment considering correlated system uncertainties | |
Liu et al. | Mitigating the risk of cascading blackouts: A data inference based maintenance method | |
Chen et al. | Evaluating distribution system reliability with hyperstructures graph convolutional nets | |
Gautam | Distribution system resilience enhancement using movable energy resources | |
Stover et al. | Global sensitivity analysis-based dimension reduction for stochastic unit commitment | |
Fioriti et al. | Spectral analysis of a real power network | |
Edimu et al. | Analyzing the performance of a time-dependent probabilistic approach for bulk network reliability assessment | |
Liu et al. | Fast risk assessment of distribution grid with iterative inference on probabilistic graph | |
Chadaga et al. | Power Failure Cascade Prediction using Graph Neural Networks | |
Gavgani et al. | A graph model for enhancing situational awareness in power systems |