Nothing Special   »   [go: up one dir, main page]

Yun et al., 2021 - Google Patents

Probabilistic estimation model of power curve to enhance power output forecasting of wind generating resources

Yun et al., 2021

Document ID
9662237886682958137
Author
Yun E
Hur J
Publication year
Publication venue
Energy

External Links

Snippet

Wind-generating resources are variable and uncertain compared to traditional power generation resources. The accurate short-term forecasting of power outputs is essential to the extensive integration of wind generation into power grids. The variability of wind speed …
Continue reading at www.sciencedirect.com (other versions)

Classifications

    • 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
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GASES [GHG] EMISSION, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00—Energy generation through renewable energy sources
    • Y02E10/70—Wind energy
    • Y02E10/72—Wind turbines with rotation axis in wind direction
    • Y02E10/722—Components or gearbox
    • 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
    • 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
    • Y04S40/00—Communication or information technology specific aspects supporting electrical power generation, transmission, distribution or end-user application management
    • Y04S40/20—Information technology specific aspects
    • Y04S40/22—Computer aided design [CAD]; Simulation; Modelling
    • 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
    • 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
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GASES [GHG] EMISSION, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02E60/70—Systems 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
    • Y02E60/76—Computer aided design [CAD]; Simulation; Modelling

Similar Documents

Publication Publication Date Title
Yun et al. Probabilistic estimation model of power curve to enhance power output forecasting of wind generating resources
Sulaeman et al. A wind farm reliability model considering both wind variability and turbine forced outages
Kim et al. Short-term probabilistic forecasting of wind energy resources using the enhanced ensemble method
Ayodele et al. Wind distribution and capacity factor estimation for wind turbines in the coastal region of South Africa
Aien et al. Probabilistic optimal power flow in correlated hybrid wind–photovoltaic power systems
Wais A review of Weibull functions in wind sector
Cui et al. Characterizing and analyzing ramping events in wind power, solar power, load, and netload
Lannoye et al. Transmission, variable generation, and power system flexibility
Ozay et al. Statistical analysis of wind speed using two-parameter Weibull distribution in Alaçatı region
Jin et al. Uncertainty analysis for wind energy production with dynamic power curves
Shafiullah Hybrid renewable energy integration (HREI) system for subtropical climate in Central Queensland, Australia
Dowds et al. A review of large-scale wind integration studies
Shang et al. Equivalent modeling of active distribution network considering the spatial uncertainty of renewable energy resources
Qing Statistical analysis of wind energy characteristics in Santiago island, Cape Verde
Famoso et al. A novel hybrid model for the estimation of energy conversion in a wind farm combining wake effects and stochastic dependability
Lin et al. Assessment of the power reduction of wind farms under extreme wind condition by a high resolution simulation model
Koivisto et al. Application of microscale wind and detailed wind power plant data in large-scale wind generation simulations
Malka et al. An approach to the large-scale integration of wind energy in Albania
Ma Evaluating and planning flexibility in a sustainable power system with large wind penetration
Yang et al. A comprehensive analysis method for levelized cost of energy in tidal current power generation farms
Feroz et al. Wind speed and power forecasting of a utility-scale wind farm with inter-farm wake interference and seasonal variation
Kim et al. A probabilistic approach to potential estimation of renewable energy resources based on augmented spatial interpolation
Heo et al. Non-Gaussian multivariate statistical monitoring of spatio-temporal wind speed frequencies to improve wind power quality in South Korea
Mabel et al. Adequacy evaluation of wind power generation systems
Al-Yahyai et al. Probabilistic wind speed forecast for wind power prediction using pseudo ensemble approach