Zhang et al., 2023 - Google Patents
Robust interval state estimation for distribution systems considering pseudo-measurement interval predictionZhang et al., 2023
View PDF- Document ID
- 17291190099325556260
- Author
- Zhang X
- Yan W
- Huo M
- Li H
- Publication year
- Publication venue
- Journal of Modern Power Systems and Clean Energy
External Links
Snippet
Interval state estimation (ISE) can estimate state intervals of power systems according to confidence intervals of predicted pseudo-measurements, thereby analyzing the impact of uncertain pseudo-measurements on states. However, predicted pseudo-measurements …
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
-
- 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
- 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"
-
- Y—GENERAL 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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS 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
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
- Y04S10/54—Management of operational aspects, e.g. planning, load or production forecast, maintenance, construction, extension
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Cui et al. | Deep learning-based time-varying parameter identification for system-wide load modeling | |
CN108593990B (en) | Electricity stealing detection method based on electricity consumption behavior mode of electric energy user and application | |
Huang et al. | Hybrid state estimation for distribution systems with AMI and SCADA measurements | |
Zhang et al. | Graph-based faulted line identification using micro-PMU data in distribution systems | |
Zhang et al. | Robust interval state estimation for distribution systems considering pseudo-measurement interval prediction | |
CN109150100A (en) | Fault detection method, device, equipment and the storage medium of photovoltaic plant | |
Fawad et al. | Multiparameter probability distributions for at-site frequency analysis of annual maximum wind speed with L-moments for parameter estimation | |
Hwang et al. | Long-term damping characteristics of twin cable-stayed bridge under environmental and operational variations | |
Nosratabadi et al. | Modeling and simulation of long term stochastic assessment in industrial microgrids proficiency considering renewable resources and load growth | |
Hua et al. | Fast unscented transformation-based transient stability margin estimation incorporating uncertainty of wind generation | |
Cai et al. | An on-line state evaluation method of smart meters based on information fusion | |
CN113406555A (en) | Electric quantity metering error monitoring method of alternating current charging station and charging station | |
Ahmad et al. | Efficient energy planning with decomposition-based evolutionary neural networks | |
Schlef et al. | Comparing flood projection approaches across hydro‐climatologically diverse United States river basins | |
Ma et al. | Bayesian statistic forecasting model for middle-term and long-term runoff of a hydropower station | |
Zhang et al. | Optimal performance‐based building facility management | |
Ye et al. | Method for solving electric energy meter error of low-voltage station based on big data | |
Acurio et al. | Design and implementation of a machine learning state estimation model for unobservable microgrids | |
Ren et al. | A fractional Brownian motion model for forecasting lost load and time interval between power outages | |
Leicester et al. | Probabilistic evaluation of solar photovoltaic systems using Bayesian networks: a discounted cash flow assessment | |
Hassak et al. | Implementing a pmu based linear state estimator on a single board computer | |
Ginocchi et al. | Optimal meter placement for distribution system state estimation: A global sensitivity analysis-based framework | |
Sanz et al. | Statistical estimation of power system vulnerability | |
Khatavkar et al. | Impact of probabilistic nature and location of wind generation on transmission power flows | |
Pang et al. | Research on wind power output reconstruction technology based on multiple time scales |